## Qualifications
* Other related fields include, but are not limited to: Financial Accounting, Investment Banking, Wealth Management, and Insurance Planning
* Fluency in English (native or bilingual level)
* Detail-oriented
* Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
## Benefits
* This is a full-time or part-time REMOTE position
* You ll be able to choose which projects you want to work on
* You can work on your own schedule
* Projects are paid hourly starting at $50-$60 USD per hour, with bonuses on high-quality and high-volume work
* PayPal will handle any currency conversions from USD
## Responsibilities
* You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model
* Give AI chatbots diverse and complex problems and evaluate their outputs
* Evaluate the quality produced by AI models for correctness and performance

## Full Description
We are looking for a finance professional to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.

In this role you will need to hold an expert level of financial reasoning- a completed or in progress Masters/PhD is preferred. Other related fields include, but are not limited to: Financial Accounting, Investment Banking, Wealth Management, and Insurance Planning.

Benefits:

This is a full-time or part-time REMOTE position

You ll be able to choose which projects you want to work on

You can work on your own schedule

Projects are paid hourly starting at $50-$60 USD per hour, with bonuses on high-quality and high-volume work

Responsibilities:

Give AI chatbots diverse and complex problems and evaluate their outputs

Evaluate the quality produced by AI models for correctness and performance

Qualifications:

Fluency in English (native or bilingual level)

Detail-oriented

Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

A current, in progress, or completed Masters and/or PhD is is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.




## Full Description
Determined, imaginative, curious—if these are some of the ways you describe yourself, we want to learn more about you!

At TC Energy, we are proud to connect the world to the energy it needs. Guided by our values of safety in every step, personal accountability, one team and active learning, we deliver the critical energy that North America and the world rely on while balancing reliability, affordability and sustainability.

The Opportunity

Reporting into the Transformation Office, the AI Strategy & Data Science Lead offers deep technical leadership, domain expertise, and strategic direction, driving the development and implementation of solutions to meet evolving business needs and strategies.

This role is instrumental in advancing design architecture and enhancing technology capabilities in line with industry advancements. It also presents a unique opportunity to shape the future, build impactful solutions, and have meaningful influence on the organization’s direction. Additionally, the AI Strategy & Data Science Lead serves as a key advisor to senior leaders, providing guidance and governance to technology teams and business areas across the organization.

What You’ll Do

• Recognized as an internal and external expert in specific domain(s) within the organization; spends the majority of their time on technical issues

• Sets the direction and oversees the work of other IT professionals as assigned on complex, highly-visible projects of significant profile, strategic importance, and enterprise impact to the TC Energy

• Recognized as an internal expert within the broad data science field and may have specialized expertise within multiple domains

• Provides consultative and strategic guidance to business partners

Minimum Qualifications

• Bachelor's or Graduate degree

• Strong academic background (e.g., computer science, engineering) or 15+ years relevant experience

Preferred Qualifications

• 15+ years of experience working with product and data science partners

• 5+ years of experience in delivering real-world AI solutions: recommendation systems, predictive models, fraud detection, personalization, GenAI, LLM fine tuning, etc.

• 5+ years of experience working with Product and Data Science partners in developing ML solutions

• Strong understanding of machine learning concepts, deep learning, natural language processing, etc.

• 5+ years of experience with MLOps & Productionalization: expertise in model lifecycle management (data versioning, model registry, CI/CD, drift monitoring, retraining pipelines) from an AI lens

• 5+ years of experience with big data engineering

• 5+ years of hands on experience with AI/ML platforms on Azure ML or AWS SageMaker

• Strong familiarity with MDLC including model training, evaluating, and deploying models using ML frameworks including TensorFlow, PyTorch, AWS Bedrock

About Our Business

We are a leader in North American energy infrastructure, spanning Canada, the U.S. and Mexico. Every day, our dedicated team proudly connects the world to the energy it needs—moving over 30 per cent of the cleaner-burning natural gas used across the continent. Complemented by strategic ownership and low-risk investments in power generation, our infrastructure fuels industries and generates affordable, reliable and sustainable power across North America, while enabling LNG exports to global markets.

TC Energy is an equal opportunity employer and participates in the E-Verify program supervised by the US government. We welcome applications from all qualified individuals regardless of race, religion, age, sex, color, national origin, sexual orientation, gender identity, veteran status, or disability. We are also committed to providing accommodations throughout the recruitment process. Applicants requiring accommodations or accessible formats are encouraged to contact us at careers@tcenergy.com for support.

All applicants must have legal authorization to work in the country where the position is based, without restrictions. Background screening is required for all positions, which may include criminal and/or credit checks. Offers may be extended at a different level or job title that best aligns with the successful candidate's qualifications.

Learn more

Visit us at TCEnergy.com and connect with us on our social medial channels for our latest news, employee stories, community activities, and other updates.

Thank you for considering TC Energy in your career journey.




## Full Description
5 days onsite at Vancouver from Day1

Should have strong technical experience in manual/functional testing including exposure AI projects

Qualifications

- 5 to 8 years of experience in the testing domain.

- Familiarity with testing life cycle processes, test case planning, test case designing and test execution

- Experimented in mobile application testing

- Expertise in end-to-end sanity, regression, smoke, and new feature testing

- Experience in test results and bug analysis

- Experience working in teams with offshore

onsite model

- Expertise in various defect management and test case management tools like Jira, Quality Center, TestRail, Bugzilla, etc., etc. Good communication and reporting skills

Responsibilities

-Manual test execution for complex new scenarios & features

- Review bugs/tasks from offshore testers before they get assigned to developers

- Follow up on high-priority and blocking issues.

- File high signal tasks that can be assigned directly to developers - Work very effectively with QA lead and rest of the QA team

- Follow up on important incremental changes and get it covered

- Provide weekly reports on tasks executed




## Full Description
MS Power Platform Developer with AI Chatbot

Location: Esher (two days WFH)

Salary: c.£50K - £60K

This person will contribute directly to the organisations digital transformation roadmap by embedding automation and AI into our operations and business. This will involve building AI-powered conversational agents and automating business processes using Microsoft Power Platform tools like Power Apps, Power Automate, and Power Virtual Agents (part of Microsoft Copilot Studio).

Their key responsibilities will be:

Chatbot Development: Design, build, and implement AI chatbots using Power Virtual Agents/Copilot Studio to streamline interactions and automate tasks.

Process Automation: Create automated workflows and processes using Power Automate to improve efficiency and reduce manual tasks, often incorporating AI capabilities.

Application Development: Develop intelligent business applications with Power Apps, leveraging AI Builder and other tools to enhance functionality.

Integration: Integrate Power Platform solutions with Microsoft 365 services (like Teams and SharePoint) and other third-party systems or APIs.

Data & AI Integration: Utilize AI Builder and machine learning models to add intelligence to applications and automations.

Collaboration: Work closely with business analysts, stakeholders, and end-users to understand requirements and ensure solutions meet business objectives.

Essential Skills & Knowledge:

Microsoft Power Platform: Deep knowledge of Power Apps, Power Automate, Power BI, and Dataverse.

AI & Machine Learning: Experience with AI automation tools, machine learning models, and AI Builder for enhanced functionality.

Copilot Studio: Expertise in building and deploying conversational AI solutions with Copilot Studio.

Programming Languages: Proficiency in languages like C# and JavaScript is often beneficial.

Database Knowledge: Familiarity with relational databases and their administration.

Microsoft 365: Understanding of services such as Teams and SharePoint for integration purposes




## Full Description
Overview

Microsoft Research Asia – Vancouver lab, located in the vibrant city of Vancouver, BC, Canada, our lab represents Microsoft Research Asia’s exciting expansion into the Asia-Pacific region. We’re on a mission to transform the future of artificial intelligence by bridging the gap between cutting-edge general AI and the specialized, real-world applications that drive meaningful impact.

Weare seeking highly skilled Senior Researcher in the areas of Cloud and AI Infrastructure, with a keen interest in advancing cloud and Artificial Intelligence (AI) infrastructure architecture, and chip design using AI technologies.

At the Vancouver Lab, we focus on deeply integrating intelligent systems across every layer of computing—from infrastructure to the physical environment. Our goal is to solve complex, real-world challenges with precision, scalability, and cost-efficiency. This means working at the intersection of AI, human interaction, and environmental context through a dynamic, co-evolutionary process.

If you're passionate about pushing the boundaries of AI and want to be part of a team that’s shaping the future of intelligent systems, we invite you to explore opportunities with us. This is an opportunity to drive an ambitious research agenda while collaborating with diverse teams to push for novel applications of those areas.

Responsibilities

• In this role, you will investigate and analyze emerging hardware technologies, trends, and advancements to stay ahead of the industry.

• Design and optimize hardware components, systems, and architectures to enhance performance, reliability, and efficiency.

• Conduct simulations, tests, and validations to ensure hardware designs meet required specifications and performance goals.

• Develop prototypes and proof-of-concept models to demonstrate new hardware technologies and applications.

• Identify opportunities for hardware improvements and cost reductions by staying informed about industry best practices and standards.

• Collaborate with cross-functional teams, including software researchers, designers, and engineers, to identify hardware requirements and develop innovative solutions.

• Partner with manufacturing vendors and production teams to transition innovative designs and concepts into deployable systems.

• Document research findings, design decisions, and technical specifications to facilitate knowledge sharing and collaboration within the organization.

Qualifications

Required Qualifications:

• Doctorate in relevant field

• OR equivalent experience

Preferred Qualifications

• Doctorate in relevant field AND 2+ years of related research experience

• OR equivalent experience.

• Experience publishing academic papers as a lead author or essential contributor.

• Experience participating in a top conference in relevant research domain.

• Experience in optimizing or designing hardware components and architectures to enhance performance, reliability, efficiency, and etc.

Research Sciences IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year.

Find Additional Pay Information Here

https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Research Sciences IC4 - L'échelle salariale de base typique pour ce rôle dans l'ensemble du Canada est de 114,400 $ CAD à 203,900 $ CAD par année.

Pour plus d'information au sujet de la rémunération, veuillez cliquer ici:

https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Ce poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptées de façon continue jusqu’à ce que le poste soit pourvu.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft est un employeur offrant l’égalité d’accès à l’emploi. Tous les candidats qualifiés seront pris en considération pour l’emploi, sans égard à l’âge, à l’ascendance, à la citoyenneté, à la couleur, aux congés médicaux ou familiaux, à l’identité ou à l’expression de genre, aux renseignements génétiques, à l’état d’immigration, à l’état matrimonial, à l’état de santé, à l’origine nationale, à un éventuel handicap physique ou mental, à l’affiliation politique, au statut de vétéran protégé ou au statut militaire, à la race, à l’ethnie, à la religion, au sexe (y compris la grossesse), à l’orientation sexuelle ou à toute autre caractéristique protégée par les lois, ordonnances et règlements locaux applicables. Si vous avez besoin d’aide avec des accommodements religieux et/ou d’un accommodement raisonnable en raison d’un handicap pendant le processus de candidature, apprenez-en plus sur la demande d’accommodement.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.



## Qualifications
* Demonstrated experience providing customer-driven solutions, support or service
* Demonstrated experience leading data and AI engineering practices, and LLM based multi-agent systems designs and deployments
* Solid understanding of end to end implementation of traditional Machine Learning and Generative AI technology stacks
* Solid understanding of responsible AI guardrails implementation such as eval framework, observability, monitoring and controls
* Demonstrated experience communicating and influencing at all levels of the organization from technical IT staff to business executives
* Demonstrated experience negotiating complex or contentious issues, reaching consensus, and working through people to achieve goals
* Extensive knowledge and understanding of business strategy development, business architecture, and business models as they relate to technology strategy development
* Travel Requirements Up to 10%
* Work that primarily involves sitting/standing
* Physical Requirements : Not Applicable
* Licenses: Not Applicable
* Working Conditions •Not Applicable
* Candidates should reside within approximately 35-50 miles of one of the following office locations: Madison, WI 53783 or Boston, MA 02110
## Benefits
* $194,000.00 - $329,000.00
* Compensation may vary based on the job level and your geographic work location
* Relocation support is offered for eligible candidates
* We provide benefits that support your physical, emotional, and financial wellbeing
* You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health
* We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees)
* In addition, our student loan repayment program and paid-family leave are available to support our employees and their families
* Interns and contingent workers are not eligible for American Family Insurance Group benefits
## Responsibilities
* Reporting to the Data and AI VP, you will drive data and AI architecture solutions, frameworks, roadmaps, program optimizations and process engineering in a high-velocity culture by introducing technology, requirements, deliverables, and systems design
* You will identify system gaps as well as analyze competitive strategies, architecture frameworks, metrics models, and performance indicators
* You will be accountable for data and AI architecture that crosses technologies, channels, lines of business, and enterprise data functions with primary focus on business outcomes vs technology design
* Participate in strategy discussions while leading integration design and execution activities
* You will drive strategic enterprise consolidations and integration efforts
* Lead with architecture design that fosters innovation and competitive advantage across businesses
* You will lead as the principal advisor to leadership in architecture matters; participate in M&A strategy discussions as well as drive AI integration design and execution activities
* Provide technical expertise and guidance regarding the research, engineering, and integration of new architecture principles and solutions to meet our organization's business strategy
* Provide oversight for the identification, design and implementation of engineering and automation solutions to promote results
* Create and maintain the data and AI architecture roadmap and strategy
* Manage and influence relationships with partners to ensure cross functional coordination and ensure a partnership focused approach is taken to align product and system releases
* Offer to selected candidate will be made contingent on the results of applicable background checks

## Full Description
Reporting to the Data and AI VP, you will drive data and AI architecture solutions, frameworks, roadmaps, program optimizations and process engineering in a high-velocity culture by introducing technology, requirements, deliverables, and systems design. You will identify system gaps as well as analyze competitive strategies, architecture frameworks, metrics models, and performance indicators.

#LI-Hybrid

Position Compensation Range:

$194,000.00 - $329,000.00

Pay Rate Type:

Salary

Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

Primary Accountabilities

• You will be accountable for data and AI architecture that crosses technologies, channels, lines of business, and enterprise data functions with primary focus on business outcomes vs technology design.

• Participate in strategy discussions while leading integration design and execution activities. You will drive strategic enterprise consolidations and integration efforts.

• Lead with architecture design that fosters innovation and competitive advantage across businesses.

• You will lead as the principal advisor to leadership in architecture matters; participate in M&A strategy discussions as well as drive AI integration design and execution activities.

• Provide technical expertise and guidance regarding the research, engineering, and integration of new architecture principles and solutions to meet our organization's business strategy.

• Provide oversight for the identification, design and implementation of engineering and automation solutions to promote results.

• Create and maintain the data and AI architecture roadmap and strategy.

• Manage and influence relationships with partners to ensure cross functional coordination and ensure a partnership focused approach is taken to align product and system releases.

Specialized Knowledge & Skills Requirements

• Demonstrated experience providing customer-driven solutions, support or service.

• Demonstrated experience leading data and AI engineering practices, and LLM based multi-agent systems designs and deployments.

• Solid understanding of end to end implementation of traditional Machine Learning and Generative AI technology stacks.

• Solid understanding of responsible AI guardrails implementation such as eval framework, observability, monitoring and controls.

• Demonstrated experience communicating and influencing at all levels of the organization from technical IT staff to business executives.

• Demonstrated experience negotiating complex or contentious issues, reaching consensus, and working through people to achieve goals.

• Extensive knowledge and understanding of business strategy development, business architecture, and business models as they relate to technology strategy development.

• Travel Requirements Up to 10%.

• Work that primarily involves sitting/standing.

• Physical Requirements : Not Applicable.

• Licenses: Not Applicable.

• Working Conditions •Not Applicable.

Additional Information

• Offer to selected candidate will be made contingent on the results of applicable background checks

• Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions

• Sponsorship will not be considered for this position unless specified in the posting

In this hybrid role, you will be expected to work a minimum of 10 days per month from the office. Candidates should reside within approximately 35-50 miles of one of the following office locations: Madison, WI 53783 or Boston, MA 02110.

We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.

We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.

#LI-AW1



## Qualifications
* Advanced proficiency in English at B2, C1, C2, or Native level
* Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling
## Benefits
* 100% remote work
* Flexible schedule
* Opportunity to earn extra income
* Timely payments
* The job is ideal for students, part-timers, or stay-at-home parents
## Responsibilities
* Data collection, evaluation, and annotation
* Pairwise comparisons
* Counting tasks
* Object tagging and labeling across different content types (audio, video, images, or collected data)

## Full Description
About the position

Responsibilities

• Data collection, evaluation, and annotation.

• Pairwise comparisons.

• Counting tasks.

• Object tagging and labeling across different content types (audio, video, images, or collected data).

Requirements

• Advanced proficiency in English at B2, C1, C2, or Native level.

• Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling.

Benefits

• 100% remote work

• Flexible schedule

• Opportunity to earn extra income

• Timely payments

• The job is ideal for students, part-timers, or stay-at-home parents



## Qualifications
* Fluent in English (native or bilingual level)
* Highly detail-oriented with strong analytical skills
* Proficient in financial analysis, financial modeling, data analysis, and other financial reasoning tasks
## Benefits
* This position is fully remote, allowing for flexibility in your work environment
* You have the freedom to choose which projects to engage with
* Enjoy the benefit of setting your own schedule
* Compensation starts at $50-$60 USD per hour, with opportunities for bonuses based on the quality and volume of your work
## Responsibilities
* In this exciting role, you will assess the performance of AI chatbots, evaluate their reasoning capabilities, and address challenges to enhance the efficiency and output quality of each model
* Provide AI chatbots with diverse and complex problems and critically assess their responses
* Evaluate the quality and performance metrics of AI models for accuracy and effectiveness
* PayPal will manage any currency conversions from USD

## Full Description
We are seeking a talented finance professional to join our dynamic team and contribute to training AI models. In this exciting role, you will assess the performance of AI chatbots, evaluate their reasoning capabilities, and address challenges to enhance the efficiency and output quality of each model.

Key Benefits:

• This position is fully remote, allowing for flexibility in your work environment.

• You have the freedom to choose which projects to engage with.

• Enjoy the benefit of setting your own schedule.

• Compensation starts at $50-$60 USD per hour, with opportunities for bonuses based on the quality and volume of your work.

Responsibilities:

• Provide AI chatbots with diverse and complex problems and critically assess their responses.

• Evaluate the quality and performance metrics of AI models for accuracy and effectiveness.

Qualifications:

• Fluent in English (native or bilingual level).

• Highly detail-oriented with strong analytical skills.

• Proficient in financial analysis, financial modeling, data analysis, and other financial reasoning tasks.

• A Masters and/or PhD degree is preferred but not required.

Note: Payment is processed via PayPal, and we will not request any money from you. PayPal will manage any currency conversions from USD. This is an independent contractor position.




## Full Description
Overview

Seeking multiple Physics Subject Matter Experts to help design, run, and optimize data collection and evaluation workflows for GenAI research. You’ll translate high‑level research needs into scalable processes, produce and curate challenging domain problems, and ensure factual, bias‑aware, high‑quality datasets for LLM training.

Project Details

• Project is approved for 3‑months initially, with possibility to extend based on project/client demands.

• Fixed hourly rate: USD $75/hr.

• Immediate project need.

Responsibilities

• Partner with GenAI researchers/engineers to capture data needs and success criteria.

• Expand high‑level requirements into clear, executable workflows for larger teams.

• Execute collection/evaluation workflows rapidly with minimal supervision.

• Innovate on workflows to maximize throughput and quality.

• Collaborate cross‑functionally to maintain quality at scale.

• Conduct in‑depth LLM‑assisted research; gather reliable, up‑to‑date info.

• Craft original, high‑quality content and hard problems for LLM evaluation and training.

• Perform rigorous fact‑checking (precision/recall) to prevent misinformation.

Requirements

• Education: Master’s with distinction or PhD in Physics; top‑tier institution preferred. Significant domain experience considered.

• Detail orientation; precise data presentation; thorough proofreading.

• Communication: articulate complex information; strong collaboration.

• Understanding of AI/LLMs, their capabilities and limits.

• Prompt engineering and familiarity with AI writing tools.

• Ethical AI awareness and data literacy (collection, cleaning, transformation).

• Thrives in fast‑paced, minimally supervised environments.

Seniority Level

• Not Applicable

Employment Type

• Full‑time

Job Function

• Research, Analyst, and Science

Industry

• Higher Education and Education

Birmingham, England, United Kingdom

#J-18808-Ljbffr




## Full Description
London, Victoria | Full-Time | 5 days in office

About Company

LightWork AI is a Service as a Software (SaS) company that automates property management workflows (compliance, maintenance, lettings and tenant support) through Felicity, an AI assistant that can handle up to 80% of admin tasks autonomously.

Designed for the UK’s regulation-driven market, LightWork AI delivers enhanced capacity, reduced admin costs and zero missed communications for property management & lettings agencies, while giving tenants the confidence that their homes are safe, compliant and their needs are always met.

The Role

We’re looking for an ambitious and hands-on VP of Engineering to join our growing team. This role is ideal for a technical leader who enjoys building products, managing talented engineers, and shaping the future of a fast-scaling AI start-up. The ideal candidate is passionate about AI-driven innovation, large-scale system design, and building high-performing teams.

Key Responsibilities

• Lead the technical development of our AI-powered property management solutions.

• Write, review, and optimise code - staying close to the engineering process.

• Manage a team of AI engineers.

• Define and maintain technical architecture and best practices.

• Collaborate with product and design teams to deliver high-impact features quickly.

• Drive innovation in automation, AI integration, and scalability.

• Ensure product reliability, security, and performance at all times.

• Contribute to strategic planning and technology roadmap discussions.

Requirements

• A First-Class or strong academic degree in Computer Science, Engineering or a related field from one of the following universities: Cambridge, Oxford, Imperial, UCL, Stanford, MIT.

• Hands-on AI product delivery (LLM/RAG/multi-agent experience) and actively committing to code.

• 5+ years proven experience in software engineering, ideally within AI, SaaS, or automation platforms.

• Exceptional technical background (e.g., Python, AI/ML integration, Node.js, cloud infrastructure).

• Previous experience in a lead or management role within a start-up or tech-driven company.

• Excellent problem-solving and communication skills.

• Keen to take ownership.

• Passion for building products that solve real-world problems and improving user experiences.

• Hungry to earn equity and create substantial value.

• Resilient, with exceptional work ethic.

• Team-orientated and uncompromising integrity.

Why Join Us

• Be part of a mission-driven AI start-up redefining property management.

• Competitive Compensation / Significant equity offering - share in the success you help create.

• Opportunity to shape the engineering culture and tech vision from the ground up.

• Work with a talented, passionate, and collaborative team.



Staff Product Manager, Platform Safety (R3723)