
## Full Description
Company Description

LawDroid specializes in developing cutting-edge generative AI solutions for the legal industry. Through advanced AI Legal Assistants, the company empowers legal professionals to work more efficiently by automating tasks such as answering phone calls, capturing leads, client interviews, and drafting legal documents. LawDroid is dedicated to leveraging innovative technology to streamline legal processes and improve client experiences across the industry.

Role Description

This is a remote, contract role for a PhD Deep Tech Researcher. The PhD Researcher will conduct advanced research focused on novel machine learning models. Responsibilities include reviewing the latest academic and industry research, proposing innovative applications of AI, implementing research papers to deployable code, and contributing to product development strategies. Collaboration with cross-functional teams and participation in knowledge-sharing initiatives will also be part of the role.

Qualifications

• Comprehensive knowledge of artificial intelligence, machine learning, and their applications

• Strong research skills, including the ability to analyze, synthesize, and present complex information

• Experience deploying solutions built from academic or technical research papers

• Fluent in Python, Pytorch, tensors and transformers

• Excellent communication skills, particularly in articulating technical and theoretical concepts

• Ability to work independently in a remote setting while adhering to project deadlines

• PhD in Computer Science



Job highlights
Identified by Google from the original job post
Qualifications
• ✔ Demonstrated success selling to Fortune 500 / large enterprise clients in the US
• ✔ Experience navigating enterprise procurement, RFPs, legal, and multi-stakeholder sales cycles
• ✔ Ability to hunt, originate, negotiate, and close large contracts
• ✔ Leadership capability to build and scale a sales organization
• ✔ Entrepreneurial mindset suitable for a cofounder-level role
• ✔ Strong education
• Bachelors from a top US university or IITs
• Preference to those with an MBA
• ✔ Enjoys traveling, client meetings, wining & dining, and building trusted CXO relationships
• ✔ Entrepreneurial, resourceful, and ready to build from the ground up
• Location preference: Only looking for candidates in Bay Area (Silicon Valley) or are ready to relocate
• Note - Preference given to bay area candidates with past experience of working in a critical role to help scale a hi-tech startup
• Shape GTM strategy, partnerships, pricing models, and revenue roadmap
• 10 more items(s)
Benefits
• Build and scale our global enterprise sales engine
• Win major corporate and Fortune 500 travel subscription contracts
Responsibilities
• Operate as a true co-founder with significant equity and full autonomy
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Job description
Agentic AI - MIT Technology Disrupting LARGE ENTERPRISES | Silicon Valley | Cofounder Role

We’re building a breakthrough MIT origin Agentic AI platform disrupting Corporate Travel, Retail and other multi-trillion dollar industries. In Corporate Travel, our Agentic AI platform is reshaping how the world’s largest companies manage corporate travel. Backed by 20+ years of MIT-rooted R&D and deep tra...vel expertise.

We are seeking a world-class revenue leader / cofounder with a proven track record of selling corporate travel or travel-related enterprise solutions to Fortune 500 companies in USA and Globally within the past 10+ years.

About OmVrti

OmVrti is a new spin-off startup creating a Vertical Agentic AI platform that is built on more than 20 years of MIT-origin research, deep optimization science, and a portfolio of 20+ issued patents. The platform integrates agentic automation, personalization engines, and advanced subscription-optimization frameworks to power the next generation of high-flexibility, high-value subscription products for global enterprises.

We are now applying this proven technical foundation to transform how travel and retail companies design, price, personalize, and automate subscription-based experiences—unlocking new revenue and simplifying complex workflows at global scale.

Who We're Looking For

A senior enterprise sales executive or revenue leader who has directly sold corporate travel, travel management, or travel-related enterprise solutions to large Fortune 500 organizations in the US market.

We are specifically interested in candidates who:

✔ Have sold corporate travel, TMC services, travel technology, travel procurement solutions, or travel SaaS to Fortune 1000 companies

✔ Have closed multi-million-dollar enterprise deals

✔ Have active relationships with enterprise travel buyers, procurement leaders, finance executives, or CXOs across Fortune 1000 companies globally

✔ Have operated in complex, long-cycle enterprise sales environments

Ideal Background

✔ Demonstrated success selling to Fortune 500 / large enterprise clients in the US

✔ Relevant corporate travel industry experience is strongly preferred

✔ Experience navigating enterprise procurement, RFPs, legal, and multi-stakeholder sales cycles

✔ Ability to hunt, originate, negotiate, and close large contracts

✔ Leadership capability to build and scale a sales organization

✔ Entrepreneurial mindset suitable for a cofounder-level role

✔ Strong education. Bachelors from a top US university or IITs. Preference to those with an MBA.

✔ Enjoys traveling, client meetings, wining & dining, and building trusted CXO relationships

✔ Entrepreneurial, resourceful, and ready to build from the ground up

Location preference: Only looking for candidates in Bay Area (Silicon Valley) or are ready to relocate.

Note - Preference given to bay area candidates with past experience of working in a critical role to help scale a hi-tech startup

What You'll Own

• Build and scale our global enterprise sales engine

• Win major corporate and Fortune 500 travel subscription contracts

• Shape GTM strategy, partnerships, pricing models, and revenue roadmap

• Operate as a true co-founder with significant equity and full autonomy

If you're a top-performing enterprise sales leader ready to transform an industry — let’s talk. Message your resume, and a short cover letter describing how you satisfy the role eligibility criteria
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Job highlights
Identified by Google from the original job post
Qualifications
• 5+ years of CNC machining experience (or equivalent advanced experience)
• Strong understanding of GD&T and blueprint reading
• Demonstrated ability to perform full machine setups independently
• Advanced troubleshooting and problem-solving skills
• Use of hand tools, manual machines, saws, drill presses
• 2 more items(s)
Benefits
• Full-time regular employee offer package:
• Pay within range listed + Bonus + Benefits + Equity
• Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
• Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location
• Military fellows and part-time employees are not eligible for benefits
• 2 more items(s)
Responsibilities
• Job Description:The CNC Machinist Level 3 is responsible for independently setting up and operating CNC machines to manufacture precision components that meet strict quality and tolerance requirements
• This role requires strong blueprint reading skills, advanced setup capability, and the ability to troubleshoot and optimize machining processes on the shop floor
• Perform complex CNC machine setups, including tooling, fixturing, and work offsets
• Read and interpret advanced blueprints, engineering drawings, and GD&T specifications
• Select appropriate cutting tools, speeds, and feeds for various materials
• Hold tight tolerances (±.0005") and maintain high-quality standards
• Conduct first-article inspections and in-process quality checks
• Use precision measuring instruments (micrometers, bore gauges, height gauges, CMM, etc.)
• Troubleshoot machining issues such as chatter, tool wear, and dimensional errors
• Reduce cycle times while maintaining safety and quality
• 7 more items(s)
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Job description
Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports oper...ations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

Job Description:The CNC Machinist Level 3 is responsible for independently setting up and operating CNC machines to manufacture precision components that meet strict quality and tolerance requirements. This role requires strong blueprint reading skills, advanced setup capability, and the ability to troubleshoot and optimize machining processes on the shop floor.

What you'll do:

• Perform complex CNC machine setups, including tooling, fixturing, and work offsets

• Read and interpret advanced blueprints, engineering drawings, and GD&T specifications

• Select appropriate cutting tools, speeds, and feeds for various materials

• Hold tight tolerances (±.0005") and maintain high-quality standards

• Conduct first-article inspections and in-process quality checks

• Use precision measuring instruments (micrometers, bore gauges, height gauges, CMM, etc.)

• Troubleshoot machining issues such as chatter, tool wear, and dimensional errors

• Reduce cycle times while maintaining safety and quality

Required qualifications:

• 5+ years of CNC machining experience (or equivalent advanced experience)

• Proficient in multi-axis machining (3-axis minimum; 4/5-axis preferred)

• Strong understanding of GD&T and blueprint reading

• Demonstrated ability to perform full machine setups independently

• Advanced troubleshooting and problem-solving skills

• Use of hand tools, manual machines, saws, drill presses.

Preferred qualifications:

• Experience with aerospace, defense, or other high-precision manufacturing environments

• Quick turnaround Prototype Machining experience

• Familiarity in CAM systems (MasterCam, Fusion 360)

• Experience operating with Siemens Controls

• Experience with Fanuc and/or DN Solutions controls

• Lean manufacturing or continuous improvement experience

#LI-JM1

#LC

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

###

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Identified by Google from the original job post
Qualifications
• The ideal candidate brings strong software engineering fundamentals combined with hands-on experience developing and operationalizing AI/ML systems on Microsoft Azure
• Bachelor’s degree or international equivalent and 7+ years of relevant experience, or 11+ years of relevant work experience without a degree
• 3 to 5 years of experience in AI/ML development, including designing and deploying ML models
• Strong software engineering background: Python, REST APIs, microservices, event-driven systems
• Good knowledge and understanding of RESTful API principles
• Good understanding of relational databases and querying using SQL
• Required Technical Experience Hands-on experience with Azure Machine Learning, Azure OpenAI, Cognitive Services, and Azure Data Lake
• Experience building RAG systems, vector embeddings, and knowledge retrieval
• AI Agents and Agentic Automation Design and implement single-agent and multi-agent workflows for complex enterprise processes using Azure and modern orchestration frameworks
• Application and Platform Development Implement secure, scalable integrations with cloud data and AI services
• Apply software design patterns and best practices in application development
• 8 more items(s)
Responsibilities
• We are seeking a highly skilled AI/ML resource to design, develop, and deploy modern applications enhanced with advanced Artificial Intelligence capabilities on Microsoft Azure
• This role focuses on AI/ML development, Generative AI, Retrieval Augmented Generation (RAG) pipelines, ML model development, MLOps, and enterprise-scale cloud deployment
• You will collaborate with architects, software engineers, data engineers, and business stakeholders to translate requirements into production-grade AI-powered software solutions
• Perform data preprocessing, feature engineering, model training, hyperparameter tuning, validation, and performance optimization
• Ensure resilience, scalability, and reliability of AI models using cloud-based platforms such as Azure AI/ML
• Ensure AI/ML solutionsalign with enterprise security, compliance, and governance requirements
• Develop prompts, system instructions, and orchestration patterns to ensure quality, reliability, and cost efficiency
• Participate in code reviews, architecture discussions, and Agile ceremonies
• Utilize Git and GitHub for version control and DevOps workflows
• 6 more items(s)
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Job description
Net2Source is a Global Workforce Solutions Company headquartered at NJ, USA with its branch offices in Asia Pacific Region. We are one of the fastest growing IT Consulting company across the USA and we are hiring "AI/ML Solutions Architect" for one of our clients. We offer a wide gamut of consulting solutions customized to our 450+ clients ranging from Fortune 500/1000 to Start-ups across various ...verticals like Technology, Financial Services, Healthcare, Life Sciences, Oil & Gas, Energy, Retail, Telecom, Utilities, Technology, Manufacturing, the Internet, and Engineering.

Position: AI/ML Solutions Architect / Architect / Leads

Location: Reston, VA or Houston, TX (Hybrid role - Locals Only)

Type: Contract

Client is hiring for 4 positions - Solutions Architect , 2 Architect, 1 Lead resource

Key Responsibilities

We are seeking a highly skilled AI/ML resource to design, develop, and deploy modern applications enhanced with advanced Artificial Intelligence capabilities on Microsoft Azure. This role focuses on AI/ML development, Generative AI, Retrieval Augmented Generation (RAG) pipelines, ML model development, MLOps, and enterprise-scale cloud deployment. You will collaborate with architects, software engineers, data engineers, and business stakeholders to translate requirements into production-grade AI-powered software solutions.

The ideal candidate brings strong software engineering fundamentals combined with hands-on experience developing and operationalizing AI/ML systems on Microsoft Azure.

Requirements

• Bachelor’s degree or international equivalent and 7+ years of relevant experience, or 11+ years of relevant work experience without a degree.

• 3 to 5 years of experience in AI/ML development, including designing and deploying ML models. Strong software engineering background: Python, REST APIs, microservices, event-driven systems. Good knowledge and understanding of RESTful API principles.

• Good understanding of relational databases and querying using SQL.

• Required Technical Experience Hands-on experience with Azure Machine Learning, Azure OpenAI, Cognitive Services, and Azure Data Lake.

• Experience building RAG systems, vector embeddings, and knowledge retrieval.

• Perform data preprocessing, feature engineering, model training, hyperparameter tuning, validation, and performance optimization.

• Ensure resilience, scalability, and reliability of AI models using cloud-based platforms such as Azure AI/ML. Ensure AI/ML solutionsalign with enterprise security, compliance, and governance requirements.

• Develop prompts, system instructions, and orchestration patterns to ensure quality, reliability, and cost efficiency.

• AI Agents and Agentic Automation Design and implement single-agent and multi-agent workflows for complex enterprise processes using Azure and modern orchestration frameworks.

• Application and Platform Development Implement secure, scalable integrations with cloud data and AI services.

• Participate in code reviews, architecture discussions, and Agile ceremonies.

• Utilize Git and GitHub for version control and DevOps workflows.

• Apply software design patterns and best practices in application development.

Madhukar Singh

Email: madhukar@net2source.com
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Job description
Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely.

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently seeking a Software Development Manager to join our Engineering team. This role is avail...able to candidates across Canada, excluding Quebec. If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum twice per week on one of our Anchor Days.

At Clio we strive to be both human and high performing. For Development Managers this means supporting and growing your people, strong execution as a team and as a triad (the teams Designer + Product + Development manager leadership group), and building solid technical solutions. Our development managers are highly technical and hands on, often coding, designing and reviewing alongside their team. They coach and build their teams to be both strong technically and strong team members. They create a safe and productive environment for all Clions.

One of the teams we are hiring a Software Development Manager for is the AI-powered Search Team. This team is a part of the AI Platform organization, responsible for building AI powered products that transform how legal professionals work. At Clio, we design, develop, and ship intelligent tools—like AI Teammates—that just do the work for you! They automate routine tasks and simplify workflows unlocking new value for our customers. We focus on delivering secure, trustworthy, and innovative AI solutions at scale.

A day in the life might look like:

• Collaborating with your triad to: understand the challenges our business faces, identify the most impactful opportunities, and craft a roadmap for the team.

• Working with your team on designing the technical architectures and solutions.

• Giving great feedback on code reviews, architecture documents, and more to help support team members making great technical decisions for their projects.

• Actively participate as a contributor to the project, either through extensive code reviews, or shipping code.

• Having a 1:1 meeting with your direct reports to make sure they are supported in their career growth and development goals.

• Actively participating in hiring to grow engineering team at Clio.

• Reviewing code contributed by members from your team or other Clio developers reaching out to you for your experience with a given technology or pattern.

You may be a fit for this role if:

• Demonstrated success in people leadership in software development, particularly with large scale SaaS products.

• A strong background in hands-on software development

• Diverse base of knowledge that allows you to help your team solve complex technical problems.

• The ability to describe successful projects you worked on, as well as a collection of lessons learned from failed projects.

• Demonstrated ability to hire the best and brightest engineers in a fast-paced job market—and to coach, develop, and retain engineering talent; You are equally energized by both your own technical work as well as contributing to the career growth of your team.

• You have strong opinions that are weakly held, and foster that same attitude in others.

• You believe in providing honest, actionable feedback to your team, and encourage your team to reciprocate.

• You devise roadmaps to guide your team, but aren't beholden to them -- you easily adapt to a constantly changing world.

• Growth mindset when it comes to process improvement and new technologies, especially AI.

Serious bonus points if you have:

• Experience with implementing large scale search systems

• A philosophy on what makes for great software development teams

• Experience with CRM products at scale; and

• Experience with Ruby on Rails.

This role is a backfill for an existing position.

What you will find here:

Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

• Competitive, equitable salary with top-tier health benefits, dental, and vision insurance

• Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin and Sydney) to be in office min. twice per week.

• Flexible time off policy, with an encouraged 20 days off per year.

• $2000 annual counseling benefit

• RRSP matching and RESP contribution

• Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The expected salary range* for this role is $176,000 to $220,000 to $264,000 CAD. There are a separate set of salary bands for other regions based on local currency.

• Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture at clio.com/careers

We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.

Disclaimer: We only communicate with candidates through official @clio.com email addresses.
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Job highlights
Identified by Google from the original job post
Qualifications
• Minimum of 10 years of related experience
• 10+ years of experience in technology, risk management, governance, or related fields, preferably within financial services
• Strong understanding of AI concepts, model lifecycles, and associated risk domains (e.g., model risk, data risk, privacy, cyber, operational risk)
• Proven track record to review, challenge, and influence sophisticated initiatives while balancing innovation with risk and control requirements
• Experience working across enterprise governance processes, including issue management, policy development, and executive reporting
• Excellent communication and stakeholder leadership skills, with the ability to synthesize sophisticated topics for non experts plus audit, and regulatory audiences
• 3 more items(s)
Benefits
• Actual salary is determined based on the role, location, individual experience, skills, and other considerations
Responsibilities
• Being a member of Technology Research & Innovation (TRI) Department of IT Business Unit, the TRI AI Governance Associate Director is a senior individual-contributor and thought-leader role responsible for shaping, executing, and continuously improving DTCC's enterprise AI governance framework
• This role partners closely with the AI Enablement Team (AET), AI Council, Technology Risk, Compliance, Legal, Model Risk, Privacy, Cyber, and product and engineering teams to ensure AI use cases are identified, assessed, governed, monitored, and reported in accordance with DTCC AI Policy, enterprise standards, and regulatory and audit expectations
• The Associate Director will strengthen DTCC's first line of defense for AI by providing review, challenge, guidance, and oversight across the AI lifecycle, while enabling responsible innovation at scale
• Help centrally lead DTCC's AI initiatives by supporting governance, prioritization, and risk transparency across the enterprise
• Ensure AI use cases align with DTCC AI Policy, procedures, and standards while remaining fit-for-purpose and innovation-friendly
• Contribute to a strong audit posture by ensuring AI governance processes, artifacts, decisions, and risk outcomes are consistently documented, traceable, and defensible
• Enable effective critical issue, decision-making, and reporting to senior management, the AI Council, Management Risk Committee (MRC), and the Board
• AI Governance, Controls & Audit Readiness
• Support the development, implementation, and ongoing improvement of DTCC's AI governance framework, policies, standards, and procedures
• Review, challenge, and provide mentorship on AI use cases to ensure risks are identified, assessed, mitigated, accepted, or remediated in alignment with DTCC's risk appetite
• Ensure AI governance activities produce clear, consistent, and auditable artifacts to support internal audit, regulatory reviews, and management assurance
• Align AI governance practices with DTCC's broader risk, control, issue management, and compliance frameworks
• Monitor emerging AI-related regulatory, industry, and supervisory developments and assess impacts to DTCC governance and controls
• AI Use Case Lifecycle Management
• Partner with the AI Enablement Team to guide AI use case submissions through appropriate review and governance pathways, including AET Review, AI Registry, and additional Portfolio Management/ARB/SDP processes
• Ensure AI use cases are evaluated for consistency, duplication, risk exposure, and alignment with enterprise standards
• Support maintenance and quality assurance of enterprise AI inventories, registries, and attestations for production AI solutions
• Metrics, Reporting & Executive Communication
• Define, review, and improve AI governance metrics, benchmarks, and KRIs to provide transparent, defensible insight into AI adoption, risk posture, and control efficiency
• Prepare materials for leadership, governance forums, and regulatory collaborators, including dashboards, summaries, and presentations
• Support consistent enterprise reporting on AI initiatives, risks, and governance efficiency
• Stakeholder Partnership & Enablement
• Act as a trusted advisor to product, engineering, data, risk, compliance, and legal partners on responsible AI governance and control expectations
• Collaborate with team members across the lines of defense to ensure cohesive execution of AI governance, risk, and audit objectives
• Chip in to education sessions, working groups, and forums to reinforce AI governance, control, and audit ready practices across DTCC
• *NOTE: The Primary Responsibilities of this role are not limited to the details above
• 23 more items(s)
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Job description
Job Description

The Impact you will have in this role:

Being a member of Technology Research & Innovation (TRI) Department of IT Business Unit, the TRI AI Governance Associate Director is a senior individual-contributor and thought-leader role responsible for shaping, executing, and continuously improving DTCC's enterprise AI governance framework. This role partners closely with the AI Enablemen...t Team (AET), AI Council, Technology Risk, Compliance, Legal, Model Risk, Privacy, Cyber, and product and engineering teams to ensure AI use cases are identified, assessed, governed, monitored, and reported in accordance with DTCC AI Policy, enterprise standards, and regulatory and audit expectations.

The Associate Director will strengthen DTCC's first line of defense for AI by providing review, challenge, guidance, and oversight across the AI lifecycle, while enabling responsible innovation at scale.

In this role, you will:

• Help centrally lead DTCC's AI initiatives by supporting governance, prioritization, and risk transparency across the enterprise.

• Ensure AI use cases align with DTCC AI Policy, procedures, and standards while remaining fit-for-purpose and innovation-friendly.

• Contribute to a strong audit posture by ensuring AI governance processes, artifacts, decisions, and risk outcomes are consistently documented, traceable, and defensible.

• Enable effective critical issue, decision-making, and reporting to senior management, the AI Council, Management Risk Committee (MRC), and the Board.

Your Primary Responsibilities:

AI Governance, Controls & Audit Readiness

• Support the development, implementation, and ongoing improvement of DTCC's AI governance framework, policies, standards, and procedures.

• Review, challenge, and provide mentorship on AI use cases to ensure risks are identified, assessed, mitigated, accepted, or remediated in alignment with DTCC's risk appetite.

• Ensure AI governance activities produce clear, consistent, and auditable artifacts to support internal audit, regulatory reviews, and management assurance.

• Align AI governance practices with DTCC's broader risk, control, issue management, and compliance frameworks.

• Monitor emerging AI-related regulatory, industry, and supervisory developments and assess impacts to DTCC governance and controls.

AI Use Case Lifecycle Management

• Partner with the AI Enablement Team to guide AI use case submissions through appropriate review and governance pathways, including AET Review, AI Registry, and additional Portfolio Management/ARB/SDP processes.

• Ensure AI use cases are evaluated for consistency, duplication, risk exposure, and alignment with enterprise standards.

• Support maintenance and quality assurance of enterprise AI inventories, registries, and attestations for production AI solutions.

Metrics, Reporting & Executive Communication

• Define, review, and improve AI governance metrics, benchmarks, and KRIs to provide transparent, defensible insight into AI adoption, risk posture, and control efficiency.

• Prepare materials for leadership, governance forums, and regulatory collaborators, including dashboards, summaries, and presentations.

• Support consistent enterprise reporting on AI initiatives, risks, and governance efficiency.

Stakeholder Partnership & Enablement

• Act as a trusted advisor to product, engineering, data, risk, compliance, and legal partners on responsible AI governance and control expectations.

• Collaborate with team members across the lines of defense to ensure cohesive execution of AI governance, risk, and audit objectives.

• Chip in to education sessions, working groups, and forums to reinforce AI governance, control, and audit ready practices across DTCC.

• *NOTE: The Primary Responsibilities of this role are not limited to the details above. **

Qualifications:

• Minimum of 10 years of related experience

• Bachelor's degree preferred and/or equivalent experience

Talents Needed for Success:

• 10+ years of experience in technology, risk management, governance, or related fields, preferably within financial services.

• Strong understanding of AI concepts, model lifecycles, and associated risk domains (e.g., model risk, data risk, privacy, cyber, operational risk).

• Proven track record to review, challenge, and influence sophisticated initiatives while balancing innovation with risk and control requirements.

• Experience working across enterprise governance processes, including issue management, policy development, and executive reporting.

• Excellent communication and stakeholder leadership skills, with the ability to synthesize sophisticated topics for non experts plus audit, and regulatory audiences

Highly Preferred

• Direct experience supporting or partnering with AI governance, model risk management, data governance, or emerging technology oversight functions.

• Familiarity with enterprise portfolio governance, metrics, and board-level reporting.

• Experience operating in fast-paced, lean teams with high visibility and accountability.

The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations.

About the Team

Serves as a dedicated technology resource for advancing DTCC's business opportunities and providing industry thought leadership for leveraging new technology. The goal of this new department is to partner internally with IT, our business and regulatory divisions and externally with clients, regulators, and fintech vendors, to help build new platforms and business models to advance DTCC's mission to support the financial markets.
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Job highlights
Identified by Google from the original job post
Qualifications
• Expertise in data engineering and ETL migration from legacy to modern platforms
• Expertise in building machine learning platforms and data pipelines at scale
• Strong experience rapidly deploying AI/ML solutions to production in a DevOps environment
• Strong coding fluency in Python
• Experience with Big Query, Claude Code, RAG, LLM's, ADK, Prompting is expected
• Experience with large data sets and distributed computing (Spark)
• Strong interpersonal and communication skills
• Ability to articulate workflows and ability to describe the logic and implications of a complex model to non-technical audiences
• Strong SQL and data analytical skills
• Familiar with major machine learning algorithms
• Solid experience managing diverse data sources, including preprocessing, cleansing, and verifying the integrity of data to develop data marts for data science use cases and machine learning applications
• Strong interpersonal skills; ability to work independently as well as in a team and a highly matrixed environment
• Experience in cloud computing platforms
• 7+ year's work experience in data engineering, Artificial Intelligence or Machine Learning
• 11 more items(s)
Benefits
• In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually
• Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location
• CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals
Responsibilities
• An individual contributor role that provides a high level of leadership and expertise in building Artificial Intelligence and Machine Learning (AI & ML) solutions for financial services and insurance
• The role will be responsible for developing data into usable information to create automated analytics solutions
• Performs a combination of duties in accordance with departmental guidelines:
• Lead solution design and build AI solutions to accelerate data migration from legacy to the cloud
• Collaborates with engineers and driver the adoption of AI development tools such as Claude code
• Productionizes and operationalizes AI solutions and advanced data analysis techniques
• Designs and builds reusable pipelines to scale AI/ML solutions in a cloud environment
• Delivers well-styled, well-tested, and maintainable code in BQ, Python
• Cultivates innovation by proactively proposing new ideas to deliver business value more effectively
• Identifies the right combination of tools and frameworks to turn a business problem into an analytics solution
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies
• Supports the evolution of CNA application development processes and standards
• May perform additional duties as assigned
• Typically, Director or above
• 11 more items(s)
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Job description
You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.

An individual contributor role that provides a high level of leadership and expertise in building Artificial In...telligence and Machine Learning (AI & ML) solutions for financial services and insurance. The role will be responsible for developing data into usable information to create automated analytics solutions.

JOB DESCRIPTION:

Essential Duties and Responsibilities:

• Performs a combination of duties in accordance with departmental guidelines:

• Lead solution design and build AI solutions to accelerate data migration from legacy to the cloud.

• Collaborates with engineers and driver the adoption of AI development tools such as Claude code

• Productionizes and operationalizes AI solutions and advanced data analysis techniques.

• Designs and builds reusable pipelines to scale AI/ML solutions in a cloud environment.

• Delivers well-styled, well-tested, and maintainable code in BQ, Python.

• Cultivates innovation by proactively proposing new ideas to deliver business value more effectively.

• Identifies the right combination of tools and frameworks to turn a business problem into an analytics solution.

• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Supports the evolution of CNA application development processes and standards.

• May perform additional duties as assigned.

Reporting Relationship

Typically, Director or above

Skills, Knowledge, and Abilities:

• Expertise in data engineering and ETL migration from legacy to modern platforms

• Expertise in building machine learning platforms and data pipelines at scale.

• Strong experience rapidly deploying AI/ML solutions to production in a DevOps environment.

• Strong coding fluency in Python. Experience with Big Query, Claude Code, RAG, LLM's, ADK, Prompting is expected. Experience with large data sets and distributed computing (Spark).

• Strong interpersonal and communication skills. Ability to articulate workflows and ability to describe the logic and implications of a complex model to non-technical audiences.

• Strong SQL and data analytical skills. Familiar with major machine learning algorithms.

• Solid experience managing diverse data sources, including preprocessing, cleansing, and verifying the integrity of data to develop data marts for data science use cases and machine learning applications.

• Strong interpersonal skills; ability to work independently as well as in a team and a highly matrixed environment.

• Experience in cloud computing platforms. Google Cloud Platform preferred.

Education and Experience:

• Bachelor's Degree in Computer Science, Engineering, Mathematics, Computational Statistics, Data Science or related technical field or equivalent; Master's Degree preferred.

• 7+ year's work experience in data engineering, Artificial Intelligence or Machine Learning.

• Experience in machine learning, deep learning, information retrieval, natural language processing or data mining preferred.

• Applicable certifications preferred.

#LI-KJ1 #LI-HYBRID

In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA's benefits, please visit cnabenefits.com.

CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com.
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Job highlights
Identified by Google from the original job post
Qualifications
• FULL-STACK PRODUCT ENGINEERING
• CLIENT-FACING + QA
• 5+ years of software engineering experience in fast-moving, high-performance environments
• Strong full-stack engineering experience - you have shipped real products end-to-end, not just maintained existing ones
• Comfortable operating in client-facing settings
• With an ability to clearly explain technical architecture, AI methodology, and product decisions to non-technical stakeholders with confidence
• Deep hands-on experience with Neo4j and graph data modeling
• Practical experience integrating LLMs and building production-grade API integrations with AI platforms
• Ability to design systems that avoid constant LLM calls and manage cost, latency, and quality tradeoffs
• Proficient in React, TypeScript, Node.js, and modern frontend and backend frameworks
• Experience designing and working with scalable databases and APIs
• Clear, confident communicator who is energized by client interaction - not just tolerant of it
• With the ability to lead technical demos, respond to live client questions, and translate complex systems into clear business value narratives
• Experience with applied data science, ML-adjacent systems, or experimentation frameworks
• Background in AI search, recommendation systems, SEO-like ranking models, or similar
• Practical agent orchestration experience - deterministic, evaluable, production flows
• Familiarity with conversational commerce or AI-powered transactional flows
• Experience working on creative or content-driven platforms
• You move fast and finish things
• You are comfortable owning a feature from whiteboard to production, and you do not need someone to hand you a spec
• You bring strong opinions about how to build things well and you are willing to defend them in a conversation, then document them afterward
• In a given week you might be extending the knowledge graph, debugging an LLM orchestration flow, presenting analysis to an enterprise client, and shipping a frontend improvement
• You want to be close to the work, close to the product, and close to the client
• 20 more items(s)
Responsibilities
• We’re looking for a Full-Stack Engineer, AI Product & Client Solutions who can truly own and ship product end-to-end across frontend, backend, and data layers without needing constant oversight
• You’ll be responsible for architecting and delivering systems that power our Brand Knowledge Graph, building interfaces that make complex enterprise data intuitive, and developing the LLM orchestration layer so it runs efficiently and reliably at scale
• Equally important, you’re comfortable operating autonomously and taking full ownership from concept through deployment
• You can build it, explain it, demo it, and defend the technical decisions behind it, translating complex systems into clear narratives for clients without needing to be managed step-by-step
• BRAND KNOWLEDGE GRAPH + DATA SYSTEMS
• Develop and extend our Brand Knowledge Graph in Neo4j: modeling how changes to one node propagate and affect AI visibility and recommendations elsewhere
• Build predictive optimization systems that model how specific content and strategy changes impact AI visibility outcomes
• Design measurement and feedback loops that connect changes to outcomes and track predicted vs. actual lift over time
• Implement scoring logic including Share-of-Prompt, accuracy measurement, sentiment analysis, and competitor mention detection
• Analyze how optimizations at scale affect long-term LLM behavior and ecosystem dynamics
• LLM ORCHESTRATION + AI INTEGRATIONS
• Build and maintain integrations with LLM platforms including ChatGPT, Claude, Grok, Perplexity, DeepSeek, and others as they emerge
• Design orchestration systems that minimize unnecessary LLM calls: managing cost, latency, and quality tradeoffs intelligently
• Develop agent-based analysis workflows that evaluate multiple optimization scenarios in parallel and forecast impact
• Compare and stress-test multiple optimization strategies simultaneously to surface the most effective approaches
• Build and ship full-stack features across frontend, backend, and data layers: from idea to production
• Develop high-quality frontend interfaces in React and TypeScript that translate complex graph and model outputs into actionable insights for users
• Design and optimize backend systems for performance, security, and scalability
• Build workflow and tracking infrastructure recording what changed, why it changed, and the outcome - integrating with Jira, Slack, HubSpot, and email
• Lay foundations for AI-native commerce experiences where merchants can transact directly inside AI chat
• Work closely with design and product to translate ideas into polished, production-ready experiences
• Participate actively in client calls, demos, and technical conversations - explaining systems clearly to non-technical enterprise stakeholders
• Own QA processes and fix pack delivery: building test coverage, triaging bugs, and maintaining data integrity across the platform
• Pull insights from complex datasets and translate them into findings that clients and internal teams can act on
• Document architecture, decisions, and systems to support a growing team and future CTO onboarding
• 22 more items(s)
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Job description
ABOUT US

Emberos exists to bring predictive intelligence and clarity to a world where AI is already shaping decisions.

We help brands understand how AI interprets and represents them at the moment of discovery and how that understanding compounds over time. By revealing emerging patterns before assumptions harden into belief, we give leaders foresight into what is taking shape and the ability to... act early.

This is not just monitoring. It’s predictive intelligence designed for an AI-mediated world.

As AI increasingly defines what people see, trust, and choose, Emberos serves as a grounding force for truth by bringing clarity to how meaning forms today and how it evolves tomorrow.

We’re a small, fast-moving team building something foundational, and we’re looking for people who want to shape what comes next.

The Opportunity

We’re looking for a Full-Stack Engineer, AI Product & Client Solutions who can truly own and ship product end-to-end across frontend, backend, and data layers without needing constant oversight. You’ll be responsible for architecting and delivering systems that power our Brand Knowledge Graph, building interfaces that make complex enterprise data intuitive, and developing the LLM orchestration layer so it runs efficiently and reliably at scale.

Equally important, you’re comfortable operating autonomously and taking full ownership from concept through deployment. You can build it, explain it, demo it, and defend the technical decisions behind it, translating complex systems into clear narratives for clients without needing to be managed step-by-step.

What You'll Build

BRAND KNOWLEDGE GRAPH + DATA SYSTEMS

• Develop and extend our Brand Knowledge Graph in Neo4j: modeling how changes to one node propagate and affect AI visibility and recommendations elsewhere

• Build predictive optimization systems that model how specific content and strategy changes impact AI visibility outcomes

• Design measurement and feedback loops that connect changes to outcomes and track predicted vs. actual lift over time

• Implement scoring logic including Share-of-Prompt, accuracy measurement, sentiment analysis, and competitor mention detection

• Analyze how optimizations at scale affect long-term LLM behavior and ecosystem dynamics

LLM ORCHESTRATION + AI INTEGRATIONS

• Build and maintain integrations with LLM platforms including ChatGPT, Claude, Grok, Perplexity, DeepSeek, and others as they emerge

• Design orchestration systems that minimize unnecessary LLM calls: managing cost, latency, and quality tradeoffs intelligently

• Develop agent-based analysis workflows that evaluate multiple optimization scenarios in parallel and forecast impact

• Compare and stress-test multiple optimization strategies simultaneously to surface the most effective approaches

FULL-STACK PRODUCT ENGINEERING

• Build and ship full-stack features across frontend, backend, and data layers: from idea to production

• Develop high-quality frontend interfaces in React and TypeScript that translate complex graph and model outputs into actionable insights for users

• Design and optimize backend systems for performance, security, and scalability

• Build workflow and tracking infrastructure recording what changed, why it changed, and the outcome - integrating with Jira, Slack, HubSpot, and email

• Lay foundations for AI-native commerce experiences where merchants can transact directly inside AI chat

• Work closely with design and product to translate ideas into polished, production-ready experiences

CLIENT-FACING + QA

• Participate actively in client calls, demos, and technical conversations - explaining systems clearly to non-technical enterprise stakeholders

• Own QA processes and fix pack delivery: building test coverage, triaging bugs, and maintaining data integrity across the platform

• Pull insights from complex datasets and translate them into findings that clients and internal teams can act on

• Document architecture, decisions, and systems to support a growing team and future CTO onboarding

Must-Have Experience

• 5+ years of software engineering experience in fast-moving, high-performance environments

• Strong full-stack engineering experience - you have shipped real products end-to-end, not just maintained existing ones

• Comfortable operating in client-facing settings. With an ability to clearly explain technical architecture, AI methodology, and product decisions to non-technical stakeholders with confidence.

• Deep hands-on experience with Neo4j and graph data modeling

• Practical experience integrating LLMs and building production-grade API integrations with AI platforms

• Ability to design systems that avoid constant LLM calls and manage cost, latency, and quality tradeoffs

• Proficient in React, TypeScript, Node.js, and modern frontend and backend frameworks

• Experience designing and working with scalable databases and APIs

• Clear, confident communicator who is energized by client interaction - not just tolerant of it. With the ability to lead technical demos, respond to live client questions, and translate complex systems into clear business value narratives.

Nice to Have

• Experience with applied data science, ML-adjacent systems, or experimentation frameworks

• Background in AI search, recommendation systems, SEO-like ranking models, or similar

• Practical agent orchestration experience - deterministic, evaluable, production flows

• Familiarity with conversational commerce or AI-powered transactional flows

• Experience working on creative or content-driven platforms

Who Thrives Here

You move fast and finish things. You are comfortable owning a feature from whiteboard to production, and you do not need someone to hand you a spec. You bring strong opinions about how to build things well and you are willing to defend them in a conversation, then document them afterward.

You get energy from variety. In a given week you might be extending the knowledge graph, debugging an LLM orchestration flow, presenting analysis to an enterprise client, and shipping a frontend improvement. You are not looking for a quiet corner of a large eng org. You want to be close to the work, close to the product, and close to the client.

Emberos is an equal opportunity employer committed to a diverse, equitable and inclusive work environment; dedicated to providing equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and veteran status.
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Job highlights
Identified by Google from the original job post
Qualifications
• Authenticity in Networking: What It Means and Why It Matters
• Networking doesn’t have to feel scripted or awkward
Benefits
• Join one session per topic — and feel free to attend only the topics that interest you or fit your schedule
• Gain insider tips from industry professionals
Responsibilities
• March 18 — 4:00 to 4:45 PM ET ( #1)
• March 27 —12:00 to 12:45 PM ET ( #2)
• April 8 — 4:00 to 4:45 PM ET ( #1)
• April 24 — 12:00 to 12:45 PM ET ( #2)
• May 8 — 12:00 to 12:45 PM ET ( #1)
• May 20 — 4:00 to 4:45 PM ET ( #2)
• Register for one session per topic at the date/time that works best for you
• Each session is 45 minutes and hosted via Zoom
• 5 more items(s)
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Job description
Start Strong: Elevate Your Career Launch Pack

A Spring Webinar Series

The spring semester is the perfect time to build and refine the skills that will set you up for success in your career journey — and we’re here to help you do exactly that.

-

Raymond James is a client‑focused global financial services company, and careers here go far beyond financial advising. From public finance to technolog...y and many paths in between, our industry offers more opportunities than you might expect. We’re excited to help you explore those possibilities — because we’re a place where good people grow.

About the Series

Start Strong: Elevate Your Career Launch Pack is a virtual spring webinar series featuring six sessions across three topics.

-

We offer each topic twice so you can choose the time that works best for you. Join one session per topic — and feel free to attend only the topics that interest you or fit your schedule.

-

Together, we’ll explore the essential insights, skills, and perspectives that can help set you apart as you launch your career in financial services.

Topics & Dates

POV: I’m Reading Your Resume

Ever wondered what a recruiter really sees when they open your resume? In this session, we’ll show you what stands out, what gets skipped, and how quickly decisions are made. You’ll learn simple, practical ways to make your resume catch attention in under eight seconds.

-

March 18 — 4:00 to 4:45 PM ET ( #1)

March 27 —12:00 to 12:45 PM ET ( #2)

Authenticity in Networking: What It Means and Why It Matters

Networking doesn’t have to feel scripted or awkward. In this session, you’ll learn how to show up as your authentic self, make meaningful connections, and communicate your story with confidence. Walk away with tips you can use at career fairs, info sessions, and beyond.

-

April 8 — 4:00 to 4:45 PM ET ( #1)

April 24 — 12:00 to 12:45 PM ET ( #2)

AI Prompt‑a‑Thon!

Learn how to craft powerful prompts that help AI deliver better, more useful results. This interactive session gives you a chance to experiment, test ideas, and walk away with practical prompt‑writing techniques you can apply right away.

-

May 8 — 12:00 to 12:45 PM ET ( #1)

May 20 — 4:00 to 4:45 PM ET ( #2)

How It Works

• Register for one session per topic at the date/time that works best for you.

• Each session is 45 minutes and hosted via Zoom.

• Sessions are interactive — be ready to come off mute, discuss with peers and Raymond James associates, and share your ideas!

• Our primary audience are freshmen and sophomores , but all students are welcome.

Why Join?

• Learn what recruiters look for in resumes

• Discover how to network authentically

• Explore how AI can support your job search

• Gain insider tips from industry professionals

Register today and start building your Career Launch Pack!

Click theRegister**Button**Below!
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Job highlights
Identified by Google from the original job post
Qualifications
• Candidates should have 1-2 years of relevant experience and be eager to work in a fast-paced environment
• The position offers extensive training aimed at making a tangible impact in the sales organization
Benefits
• Competitive compensation and benefits, including wellness allowances and flexible time off, are provided
• #J-18808-Ljbffr
Responsibilities
• This role is vital for generating new business through outbound prospecting
More job highlights
Job description
A leading cloud computing company is seeking a Business Development Representative in Chicago, Illinois. This role is vital for generating new business through outbound prospecting. Candidates should have 1-2 years of relevant experience and be eager to work in a fast-paced environment. The position offers extensive training aimed at making a tangible impact in the sales organization. Competitive ...compensation and benefits, including wellness allowances and flexible time off, are provided.

#J-18808-Ljbffr
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Job highlights
Identified by Google from the original job post
Qualifications
• Accuracy improvements (e.g., pricing, forecasting error reduction)
• Bachelor’s degree in Computer Science, Engineering, Information Systems, Design Engineering, or related field or equivalent, demonstrable experience building and shipping internal tools/automations
• Advanced degree welcome but not required; evidence of hands-on capability is paramount
• 5+ years in roles such as AI Engineer, Technical Founder, Head of Systems/Internal Tools, Automation Architect, AI Product Lead, or similar—preferably in startup/scale-up or founder-led environments
• Proven track record building (not only advising on) internal tools, LLM-powered automations, and/or agent-based workflows from scratch and moving them to production
• Experience replacing or bypassing traditional systems (e.g., ERP modules, estimating tools, finance/reporting stacks, PM software) with leaner, AI-augmented flows
• Demonstrated ability to ship quickly, iterate, instrument, and measure value in real terms
• Hands-on with LLMs (commercial and open-source), prompt engineering/versioning, retrieval-augmented generation, and basic vector search concepts
• Comfortable with no-/low-code and workflow automation (e.g., Retool, Bubble, Airtable, Zapier, n8n) and/or scripting with Python/JavaScript; APIs, webhooks, and OAuth
• Familiarity with agent frameworks, light RPA, and orchestration libraries; basic data engineering patterns (batch vs. event-driven; connectors; ETL/ELT)
• Practical appreciation of security, privacy, and data boundaries (least privilege, secret management, PII handling) framed as enablers rather than blockers
• Working knowledge of version control (Git), basic containerization or packaging, and simple deployment approaches
• Rapid process mapping and decomposition; identify high-ROI “thin slices” for automation
• Business case & ROI modeling that Finance can audit; metric design and instrumentation
• Strong product sense: usability, lightweight adoption paths, and “minimum lovable” tools
• Influence without authority; clear written and verbal communication with frontline teams and executives
• Operate independently in ambiguity; prioritize ruthlessly; balance speed with safety
• Challenge assumptions constructively; comfort “breaking” legacy ways of working when economics support it
• Builder Mindset & Bias to Action – ships working software and iterates
• Systems Thinking – sees across tools, teams, and data flows to simplify
• Problem Solving & Analytical Rigor – frames hypotheses, tests, measures
• Collaboration & Influence – partners broadly while remaining independent
• Communication – concise, direct, and audience-appropriate; writes excellent docs and runbooks
• Customer/Operator Empathy – designs for the people who actually use the workflow
• Learning Agility & Curiosity – tracks emerging AI capabilities; adapts rapidly
• Resilience – comfortable with imperfect data, pivots, and iteration
• Ethical Judgment – thoughtful about data use, bias, and responsible deployment
• Ownership – prioritizes impact over hierarchy; accountable for results
• Working conditions are in a normal office environment
• While performing the duties of this job, the employee is regularly required to walk; sit and stand; using the hands to handle, finger, or feel objects, tools, or controls
• The employee must occasionally exert or lift up to 20 pounds
• Successful performance requires good eyesight with or without corrective lenses
• Requires long periods of time working at a computer and includes phone work
• Some travel may be required for special company events (for example in Union City CA or Chicago)
• 31 more items(s)
Responsibilities
• The Head of AI Transformation is responsible for fundamentally rethinking how our business operates—across estimating, finance, operations, design workflows, sales operations, tooling, reporting, and communication—by applying practical, production-grade AI
• The Head of AI Transformation will systematically identify where AI can automate work, eliminate redundant tools, compress cycle times, improve decision quality, and expand margin
• This role is not about incremental improvement - it is about reimagining systems, workflows, and decision-making using AI—often replacing existing tools, processes, and assumptions entirely
• This role operates independently but works collaboratively across all functions, with direct access to the CEO, and the mandate is to question everything
• Rapidly audit how Outform operates across estimating, finance/reporting, sales ops, design workflows, project management, manufacturing interfaces, and delivery
• Map manual work, repetitive decisions, tool overlap, spreadsheet dependencies, and failure points at scale
• Produce an AI Opportunity Map with ranked opportunities by speed-to-impact, ROI, and risk
• Maintain a Kill List of tools, workflows, and reports to eliminate or replace
• Build & Automate
• Prototype and deploy AI-powered solutions including internal tools, automations, agent-based workflows, and lightweight services that can evolve into production systems
• Facilitate and/or oversee the replacement of legacy workflows, scripting away manual/repetitive steps and consolidating or removing redundant software
• Demonstrate a bias to action: favor working software and measurable value over decks and prolonged consensus-building
• Operate, Scale & Systemize
• Move pilots into production with simple, supportable runbooks; instrument solutions for reliability, observability, and maintainability
• Define a pragmatic AI Operating Model (where AI is mandatory; where humans remain in the loop)
• Establish lightweight internal standards for prompt/version management, data handling, and credential security; partner with technology leaders without becoming dependent on them
• Adoption & Change Enablement
• Introduce new ways of working (not just new tools) with concise SOPs, training, and quick guides
• Capture before/after metrics, publish wins, and foster a builder culture across teams
• Challenge legacy assumptions respectfully but directly; operate across org boundaries without being bound by them
• Tie every initiative to business outcomes: hours eliminated, cycle-time reduction, cost savings/avoidance, margin expansion, and accuracy lift
• Maintain a live portfolio of initiatives with clear ROI, scale potential, and sunset criteria
• Hours eliminated/automated per month (baseline → trend)
• Cycle time reduction for key flows (e.g., estimating, approvals, reporting)
• Cost savings / cost avoidance (verified by Finance)
• Margin improvement driven by faster, better decisions
• Tools eliminated or consolidated (license count and spend reduced)
• Reduction in manual errors and rework
• Adoption rate and weekly active use of AI-enabled workflows
• Idea → production lead time (mean/median)
• Occasionally, the employee must crouch or kneel
• 28 more items(s)
More job highlights
Job description
Job Summary

The Head of AI Transformation is responsible for fundamentally rethinking how our business operates—across estimating, finance, operations, design workflows, sales operations, tooling, reporting, and communication—by applying practical, production-grade AI. The Head of AI Transformation will systematically identify where AI can automate work, eliminate redundant tools, compress cycle ...times, improve decision quality, and expand margin. This role is not about incremental improvement - it is about reimagining systems, workflows, and decision-making using AI—often replacing existing tools, processes, and assumptions entirely. This role operates independently but works collaboratively across all functions, with direct access to the CEO, and the mandate is to question everything.

Responsibilities

Discovery & Diagnosis

• Rapidly audit how Outform operates across estimating, finance/reporting, sales ops, design workflows, project management, manufacturing interfaces, and delivery.

• Map manual work, repetitive decisions, tool overlap, spreadsheet dependencies, and failure points at scale.

• Produce an AI Opportunity Map with ranked opportunities by speed-to-impact, ROI, and risk.

• Maintain a Kill List of tools, workflows, and reports to eliminate or replace.

Build & Automate

• Prototype and deploy AI-powered solutions including internal tools, automations, agent-based workflows, and lightweight services that can evolve into production systems.

• Facilitate and/or oversee the replacement of legacy workflows, scripting away manual/repetitive steps and consolidating or removing redundant software.

• Demonstrate a bias to action: favor working software and measurable value over decks and prolonged consensus-building.

Operate, Scale & Systemize

• Move pilots into production with simple, supportable runbooks; instrument solutions for reliability, observability, and maintainability.

• Define a pragmatic AI Operating Model (where AI is mandatory; where humans remain in the loop).

• Establish lightweight internal standards for prompt/version management, data handling, and credential security; partner with technology leaders without becoming dependent on them.

Adoption & Change Enablement

• Introduce new ways of working (not just new tools) with concise SOPs, training, and quick guides.

• Capture before/after metrics, publish wins, and foster a builder culture across teams.

• Challenge legacy assumptions respectfully but directly; operate across org boundaries without being bound by them.

Measurement & Economics

• Tie every initiative to business outcomes: hours eliminated, cycle-time reduction, cost savings/avoidance, margin expansion, and accuracy lift.

• Maintain a live portfolio of initiatives with clear ROI, scale potential, and sunset criteria.

Success Metrics (KPIs)

Core (non-negotiable)

• Hours eliminated/automated per month (baseline → trend)

• Cycle time reduction for key flows (e.g., estimating, approvals, reporting)

• Cost savings / cost avoidance (verified by Finance)

• Margin improvement driven by faster, better decisions

• Tools eliminated or consolidated (license count and spend reduced)

Secondary

• Accuracy improvements (e.g., pricing, forecasting error reduction)

• Reduction in manual errors and rework

• Adoption rate and weekly active use of AI-enabled workflows

• Idea → production lead time (mean/median)

Qualifications:

Education

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Design Engineering, or related field or equivalent, demonstrable experience building and shipping internal tools/automations.

• Advanced degree welcome but not required; evidence of hands-on capability is paramount.

Experience

• 5+ years in roles such as AI Engineer, Technical Founder, Head of Systems/Internal Tools, Automation Architect, AI Product Lead, or similar—preferably in startup/scale-up or founder-led environments.

• Proven track record building (not only advising on) internal tools, LLM-powered automations, and/or agent-based workflows from scratch and moving them to production.

• Experience replacing or bypassing traditional systems (e.g., ERP modules, estimating tools, finance/reporting stacks, PM software) with leaner, AI-augmented flows.

• Demonstrated ability to ship quickly, iterate, instrument, and measure value in real terms.

Knowledge (Tools & Domains)

• Hands-on with LLMs (commercial and open-source), prompt engineering/versioning, retrieval-augmented generation, and basic vector search concepts.

• Comfortable with no-/low-code and workflow automation (e.g., Retool, Bubble, Airtable, Zapier, n8n) and/or scripting with Python/JavaScript; APIs, webhooks, and OAuth.

• Familiarity with agent frameworks, light RPA, and orchestration libraries; basic data engineering patterns (batch vs. event-driven; connectors; ETL/ELT).

• Practical appreciation of security, privacy, and data boundaries (least privilege, secret management, PII handling) framed as enablers rather than blockers.

• Working knowledge of version control (Git), basic containerization or packaging, and simple deployment approaches.

Abilities

• Rapid process mapping and decomposition; identify high-ROI “thin slices” for automation.

• Business case & ROI modeling that Finance can audit; metric design and instrumentation.

• Strong product sense: usability, lightweight adoption paths, and “minimum lovable” tools.

• Influence without authority; clear written and verbal communication with frontline teams and executives.

• Operate independently in ambiguity; prioritize ruthlessly; balance speed with safety.

• Challenge assumptions constructively; comfort “breaking” legacy ways of working when economics support it.

Core Competencies & Personal Characteristics:

• Builder Mindset & Bias to Action – ships working software and iterates.

• Systems Thinking – sees across tools, teams, and data flows to simplify.

• Problem Solving & Analytical Rigor – frames hypotheses, tests, measures.

• Collaboration & Influence – partners broadly while remaining independent.

• Communication – concise, direct, and audience-appropriate; writes excellent docs and runbooks.

• Customer/Operator Empathy – designs for the people who actually use the workflow.

• Learning Agility & Curiosity – tracks emerging AI capabilities; adapts rapidly.

• Resilience – comfortable with imperfect data, pivots, and iteration.

• Ethical Judgment – thoughtful about data use, bias, and responsible deployment.

• Ownership – prioritizes impact over hierarchy; accountable for results.

Essential Functions

Working conditions are in a normal office environment. While performing the duties of this job, the employee is regularly required to walk; sit and stand; using the hands to handle, finger, or feel objects, tools, or controls. Occasionally, the employee must crouch or kneel. The employee must occasionally exert or lift up to 20 pounds. Successful performance requires good eyesight with or without corrective lenses. Requires long periods of time working at a computer and includes phone work. Some travel may be required for special company events (for example in Union City CA or Chicago).

Disclaimer

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification and may be amended at any time at the sole discretion of the Employer. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.
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AI PhD Researcher

Full Description

Qualifications

Zero to AI Engineer