Role overview: We are looking for a Game Mathematician to design, validate, and improve mathematical models for casino games. You will work closely with Product Owners, developers, QA, and certification teams to create engaging, compliant, and mathematically robust game experiences.
Responsibilities:
— Design and develop mathematical models for slots, casual and table games;
— Contribute to game mechanics and feature design together with Product Owners and game designers;
— Build simulations and analytical tools to validate RTP, volatility, hit frequency, maximum win, and other key game parameters;
— Review and verify mathematical implementations together with developers and QA;
— Analyze, update, and adapt legacy mathematical models from previously released games when required;
— Support game balancing, playtesting, and post-release analysis using gameplay and statistical data;
— Work with certification laboratories during game certification, investigate mathematical or technical findings, and prepare required fixes or supporting documentation;
— Analyze market trends and existing game mechanics to identify opportunities for innovation.
Requirements:
— Degree in Mathematics, Statistics, Computer Science, or a related field — or equivalent practical experience;
— Strong knowledge of probability theory, combinatorics, statistics, and mathematical modeling;
— 5+ years of proven experience creating mathematics for slot games and/or other casino games;
— Experience collaborating with certification laboratories and resolving certification-related issues;
— Ability to explain which certification labs you have worked with, what requirements or findings arose, and how you addressed them;
— Proficiency in at least one object-oriented programming language, such as C++, C#, or similar;
— Strong Excel skills and experience with simulations, data analysis, and large datasets;
— Experience with Git;
— Strong analytical thinking, attention to detail, and problem-solving skills.
Nice to have:
— Understanding of player psychology, engagement mechanics, and the iGaming market;
— Experience working with legacy game mathematics, including reviewing, debugging, recalculating, and updating existing models.
Work conditions:
— Work where it suits you: from home, the office, or a mix of both.
— 100% paid vacation and sick days, plus extra days off.
— Medical insurance and mental health support.
— BCoins for internal rewards and fun perks.
— Budget for professional development, certifications, and language courses (English and Polish).
— Hackathons, team events, and legendary parties.
— Kids’ camp for BGamers’ families.
— Referral program with real rewards.
Location: Canada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Toronto; Victoria; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models, to be exact) learn in similar ways to humans, by way of feedback. By labelling, ranking, auditing, and correcting model output, you will improve Large Language Models' performance for iterations to come, thus having a lasting impact on Cohere's technology. We are hiring Generalist professionals with broad backgrounds that span multiple consumer-facing or personal domains.
This is a judgment-driven role, not passive data entry. You will review, assess, and provide structured feedback across a broad and evolving range of tasks, evaluating, stress-testing, and improving our models on English-language data spanning multiple modalities (text, image, and structured formats such as JSON, CSV/TSV, and Markdown). This is a great opportunity for professionals with strong analytical skills to contribute to high-impact annotation projects.
Please Note: This is a part-time independent contractor position available within Canada only. We seek candidates who can commit to 16 hours per week at a CAD $30/hour contract rate. This role is BYOD 💻 (Bring Your Own Device, laptop). This position is remote.
As an Data Annotation Specialist, you will:
- Evaluate and rank model outputs: Complete preference and comparison tasks, assessing which responses best conform to project guidelines for accuracy, helpfulness, tone, and safety, and writing clear justifications for your judgments.
- Stress-test and break models: Probe models adversarially to surface failure modes, unsafe behavior, and capability gaps, and document reproducible cases that engineering and research teams can act on.
- Create datasets: Author high-quality prompts, responses, and exemplars to build training and evaluation datasets, following detailed specifications and editing machine-written or human-written outputs to standard.
- Build and apply rubrics and taxonomies: Contribute to the design of grading criteria and rubrics, then apply them consistently to produce structured, high-quality annotations across task types.
- Annotate and correct multimodal data: Label, audit, and rectify inaccuracies across text, image, and structured data, maintaining a high standard of data integrity and accuracy.
- Calibrate and maintain consistency: Participate in calibration exercises and inter-annotator agreement checks to align on standards, and flag ambiguous or uncovered edge cases rather than guessing, since a single misjudgment replicated at scale degrades a model.
- Adapt to experimental work: Take on new and evolving task types as project needs shift, applying sound judgment in areas where guidelines are still being developed.
- Report on model performance: Surface and communicate quality and performance trends in model and agent behavior, giving cross-functional partners clear, well-evidenced feedback on where models succeed, fail, and degrade.
You may be a good fit if you have:
- 1+ years of experience in AI data annotation, LLM evaluation, content moderation, research, or a related analytical role, with exposure to quality assurance, and/or preference ranking.
- Experience applying detailed guidelines to complex and often ambiguous content, with strong contextual and sociocultural judgment, sensitivity to nuance, tone, and register, and the ability to reason well in cases where there is no single correct answer.
- Comfort with ambiguity: a willingness to flag unclear or uncovered edge cases rather than guess, and to work productively on novel, experimental tasks whose definitions are still evolving.
- A sharp, curious eye for inconsistencies, subtle errors, and model failure modes, including the instinct to probe models adversarially and surface where they break. Familiarity with how large language models behave, such as hallucination, sycophancy, and instruction-following gaps, is a plus.
- Excellent command of written English and strong reading comprehension, with the ability to clearly justify your evaluations, including why an output is correct or incorrect, high-quality or low-quality, and to write clear prompts and exemplars that explain your reasoning. Bonus points if you are fluent in another language!
- Strong attention to detail and commitment to accuracy, with the ability to maintain consistency across high-volume and monotonous tasks.
- Comfort working with annotation platforms and structured formats such as JSON, CSV/TSV, Markdown, XML, and YAML.
- Strong execution in a remote environment, including good time management, comfort using new tools, and the ability to work independently in a global, asynchronous team.
Candidate Journey
- Initial Screening: Our Talent Team will review your application.
- First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email.
- Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise.
- Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team.
- Final: Selected candidates will receive an Independent Contractor Agreement.
As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor.
It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week.
Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.
Location: New Zealand; Remote, Worldwide; Remote - Europe; Remote
Workplace: remote
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Are you detail-oriented and curious about tech?
Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.
By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.
Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.
What You’ll Need
- Native or near-native fluency in Maori
- Based in: Worldwide, Remote
- English proficiency
- Comfortable with digital tools
- Detail-oriented and curious
Why Join Us?
🚀 Limitless You – Work when and where you want, with room to grow
🤖 Limitless AI – Contribute to smarter, more inclusive AI
🌎 Be Part of Us – Join a global, supportive community
About our projects:
Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.
Depending on your skills, you might:
📝 Annotate or label text, images, or audio to train AI systems
🔍 Evaluate search results, ads, or chatbot responses for quality and relevance
💬 Create and test prompts to improve large language models (LLMs)
🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy
Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.
How to Apply?
Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.
📬Questions?
If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com.
Location: Remote; New York, NY
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
ABOUT THE ROLE
Open to hiring remote across North America - NYC, San Francisco, or Denver preferred.
You will carry a book of 10-30 accounts - $1B to $5B+ revenue companies. You work in a pod with a dedicated Enterprise Engagement Manager on a shared book: one account plan, shared customer outcomes, and comp designed to maximize earnings and customer value.
This is a role that requires a depth of expertise selling to Fortune 500 companies, knowing how to architect multi-disciplinary commercial deals, comfort regularly selling to C-Suite executives, and strategic GTM deal architecture.
WHAT YOU'LL DO
- Run 10-30 concurrent enterprise cycles a year at $100K - $1M+, from first outbound through production deployment
- Build multi-threaded relationships across creative, marketing, technology, and procurement in $5B+ organizations
- Win new logos in whitespace and source expansion in existing accounts
- Work your pod plan with your Engagement Manager so consumption milestones land quickly
- Forecast with the discipline of someone the CRO plans around: staged exits, named next steps, no happy ears
WHAT YOU'LL NEED
- 5+ years of enterprise software sales with consistent six and seven-figure deals
- A quota history above 100% you can walk through year by year, President's Club achievement, etc.
- Demonstrated account development: you have grown named accounts 2-3x, and renewals were the floor of that growth
- Command of MEDDPICC or equivalent, with the CRM hygiene to prove your pipeline is real
- Working AI fluency - you use generative tools yourself and can demo credibly to a skeptical enterprise buyer
STRONG CANDIDATES MAY ALSO HAVE
- Sold creative or content technology
- Sold consumption or usage-based contracts
- Sourced the majority of your own pipeline
COMPENSATION
OTE $275K - $340K (50/50 base to variable). Offers equity.
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Remote; Denver, CO; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
ABOUT THE ROLE
Open to hiring remote across North America - NYC, San Francisco, or Denver preferred.
Runway is scaling its Enterprise revenue organization with leaders who know how to build and scale high-performance teams. And, who can operate a revenue machine while keeping customer value in mind - leading our industry-based revenue pods responsible for both net-new ACV, NRR, and Renewal.
This role is designed for the leader who wants to accelerate their CRO career trajectory. Someone who knows how to build and scale teams and leadership excellence from $100M to $500M+ organizations, operate in AI-native fluid environments, and have experience selling-to, expanding, and renewing with client operators from across a variety of ICPs (From operators in Marketing, HR, Operations, and Finance, to technologists in AI, IT Infrastructure, and Security).
Runway is searching for leaders who enjoy the build - hiring top-performing AEs and frontline leaders to grow your teams for scale. You’re a leader-of-leaders who lead hybrid revenue pods of AEs + Engagement managers. We expect you to think like a CRO - every pod is effectively a P&L, expansion is as much your number as new logos, and any customer who signs needs to see value through consumption of the Runway platform.
If you have only ever inherited a running enterprise org, this is not the right fit. If you have built one, we'd like to talk.
WHAT YOU'LL DO
- Build and lead an Enterprise segment of 3-4 frontline sales managers; each with 3-5 revenue pods beneath them with operating Enterprise Account Executives and Engagement Managers in each pod. At scale, this role leads 25 - 40 GTM teammates
- Own the segment's new ACV and NRR targets - both numbers, one owner, reviewed weekly with the CRO
- Engage personally with C-level executives on accounts, building business cases and navigating procurement, security review, legal through to production deployment
- Run the operating rhythm: forecasting to +/-5%, deal inspection, pipeline generation discipline, and account planning across a long-cycle book
- Ensure that each of your leaders engages their revenue pods (AE + Engagement manager) to drive license consumption and value output. The more we invest in our customer’s adoption, the more everyone wins.
WHAT YOU'LL NEED
- 12+ years of enterprise software sales with 5+ years leading enterprise sales organizations with experience as a second-line leader
- A validated record of building - you have grown an enterprise segment past 25 sellers and beaten the number while doing it
- Personal history of closing and sponsoring $250k-$1M+ ACV deals with $1B+ revenue companies
- Experience running consumption or usage-based revenue models, where expansion is earned through customer value
- Fluency with modern AI - you use these tools daily, operate your team with them to drive productivity, you can demo Runway credibly to a CMO or CTO, and you have a defensible point of view on where generative media is going
- Deep understanding of MEDDPICC and Command of the Message to reinforce value-orientation and deal progression with your teams
- A record of exceeding quota year-over-year
STRONG CANDIDATES MAY ALSO HAVE
- Experience selling API and AI infrastructure solutions to CTO / CIOs
- Sold creative, media, or content technology to Fortune 500 marketing and studio organizations
- Built vertical pod or team structures with shared new ACV + NRR%/Renewal ownership
- Scaled a GTM org through the $100M to $500M+ revenue stage
COMPENSATION
OTE $400K - 475K (60/40 base to variable). Offers equity.
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
Fivetran is seeking an exceptional Principal Software Engineer to lead our AI adoption initiative across the Engineering organization. This unique leadership role combines deep technical expertise with strategic business acumen and change management capabilities. You will be the driving force behind transforming our 500+ engineers into “Bionic Engineers" while implementing Virtual Engineer capabilities to achieve 10% productivity gains in FY26 and 20% in FY27.
As the single point of contact for AI initiatives in Engineering, you will orchestrate an engineering-wide transformation that makes AI-driven productivity a core engineering competency. This role requires someone who can navigate the rapidly evolving AI landscape, drive adoption across diverse teams, and deliver measurable business impact.
This is a full-time position based out of our Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Java, Postgres, Oracle, SQL Server, MySQL, Kubernetes, Docker, AWS, GCP, CircleCI
Google Gemini, Anthropic Claude, Claude Code, ChatGPT, OpenAI Codex, GitHub Copilot
What You’ll Do
Adoption Management & Leadership (40%)
Drive Cultural Transformation: Lead the evolution from AI-curious to AI-native engineering practices across all teams
Champion Change Management: Convert skeptics into advocates through data-driven demonstrations of value and hands-on enablement
Measure & Accelerate Adoption: Establish KPIs, track progress from the current 50% to 100% adoption, and implement interventions to accelerate uptake
Build Communities of Practice: Create forums for knowledge sharing, celebrate wins, and foster peer-to-peer learning
Technical Leadership (35%)
Tool Evaluation & Selection: Continuously assess emerging AI tools (Copilot, Claude Code, Codex, etc.) and make data-driven recommendations
Architecture & Integration: Design technical frameworks for integrating AI tools into existing development workflows and CI/CD pipelines
Virtual Engineer Implementation: Lead proof-of-concepts for coding agents in standardized tasks (Lite Connectors via CoIL, code refactoring, test generation)
Security & Compliance: Partner with Security and Legal teams to ensure AI tool usage protects IP and meets compliance requirements
Technical Standards: Establish best practices, guidelines, and guardrails for AI-assisted development
Performance Optimization: Analyze and optimize the technical performance and cost-efficiency of AI tool deployments
Innovation Pipeline: Maintain awareness of cutting-edge AI developments and identify opportunities for competitive advantage
Business Leadership (25%)
Strategic Planning: Develop and execute the three-phase AI adoption roadmap (Explore & Learn → Enable, Train & Adopt → Core Competency)
Budget Management: Oversee $1M+ annual tool budget, optimize spend across 500+ team members, and demonstrate ROI
Stakeholder Management: Build relationships with the CEO, Engineering Leadership, Finance, L&D, Legal, and Security teams
Business Case Development: Quantify productivity gains, cost savings, and strategic value of AI initiatives
Vendor Relations: Negotiate enterprise contracts, manage vendor relationships, and influence product roadmaps
Cross-functional Collaboration: Work with Program Managers, Engineering Managers, and other non-IC roles to extend AI benefits
Competitive Intelligence: Monitor industry trends and ensure Fivetran maintains a leadership position in AI-augmented engineering
Enable Success at Scale: Design and implement adoption playbooks that work across diverse teams with varying technical backgrounds
Remove Barriers: Identify and systematically eliminate technical, cultural, and process obstacles to AI adoption
Communicate Impact: Regularly present adoption metrics, success stories, and ROI to engineering leadership and executives
Skills We’re Looking For
Technical Expertise
10+ years of software engineering experience with proven expertise across multiple programming languages and paradigms
Deep hands-on experience with AI-powered development tools (GitHub Copilot, ChatGPT, Claude, etc.)
Strong understanding of LLMs, prompt engineering, and AI model capabilities/limitations
Experience with CI/CD, DevOps practices, and modern software development workflows
Track record of evaluating and implementing new technologies at scale
Leadership Experience
Proven ability to drive technical initiatives across large engineering organizations (500+ people)
Experience leading without authority and influencing senior technical leaders
Track record of successful change management in engineering contexts
Demonstrated ability to convert technical innovations into business value
Experience presenting to C-level executives and board members
Adoption & Enablement Skills
Experience driving tool adoption across diverse technical teams
Strong communication skills with the ability to create compelling narratives for different audiences
Track record of building training programs and enablement materials
Data-driven approach to measuring and improving adoption metrics
Patience and empathy when working with skeptics and late adopters
Bonus Skills
Experience with Fivetran's tech stack (Java, Python, C, SQL, Bazel, React)
Background in developer productivity, platform engineering, or DevEx roles
Experience with virtual agents/coding assistants in production environments
Knowledge of AI/ML fundamentals and enterprise AI governance
Previous experience in high-growth SaaS companies
#LI-HYBRID #LI-EM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$225,813
—
$282,266 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: San Francisco Bay Area, CA
Workplace: onsite
Overview
Get Paid to Help Shape the Future of Technology
We are building a community of participants for upcoming in-person data collection projects in San Francisco Bay Area. These projects help improve the next generation of smart devices and technology and we are looking for everyday people to take part.
No experience is required. No special skills are needed. Simply attend your scheduled session, follow a few simple instructions, and get paid for your time.
What You'll Do
Participants take part in short, moderated sessions involving simple, everyday activities such as walking, sitting, or moving through a space while smart devices record the session. A friendly moderator guides you through every step. A trained moderator will guide you through the entire process.
Project Details
Job Type: Freelance/Independent Contract
Time Commitment:Approximately 1 hour
Location:San Francisco Bay Area (On-site)
Project Type: Short-term, paid, in-person research sessions
Who Can Apply?
We welcome people of all ages and backgrounds from across the San Francisco Bay Area.
To participate, you should:
Adults and minors are eligible (participants under 18 require parent/guardian consent)
Be comfortable following simple instructions in English (non-native English speakers are welcome).
Feel free to register with friends or family, you are welcome to participate together.
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Berlin, Germany
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
As an Inside Sales Representative, you’ll play an important role in helping our existing customers scale while managing requests and closing deals from a large book of accounts. You’ll build a strong foundation of knowledge across our product platform and internal sales processes while partnering with Support, Order Management, and Marketing. You’ll also gain experience qualifying and routing inbound prospects to an aligned Account Executive. Ultimately, this experience will help you serve customers efficiently and support your own career development in Sales. As a founding member of this new team, you're adaptable and eager to contribute to how the strategy of this function evolves over time.
This is a full time role that can be held from our Berlin hub.
What you'll do at Figma:
Communicate with existing customer accounts through email, Zoom, and Ironclad about Figma’s platform and pricing
Close inbound sales requests for subscription expansions, including adding products or licenses, creating new instances, and upgrading to the Enterprise Plan
Manage inbound billing requests (such as processing renewals and changing payment term/method)
Close targeted outbound account renewals
Qualify and handle inbound sales requests
Partner with Marketing to run proactive campaigns that maximize expansion/retention across all products
We’d love to hear from you if you have:
Desire to build career in Sales - ultimately working towards Senior Inside Sales Representative and Account Executive roles at Figma
Strong technical aptitude with ability to learn new products, processes, and policies as we go
Collaboration across multiple teams (such as Sales, Support, Billing, and Marketing)
Inherent curiosity and commitment to ongoing learning, adaptable and comfortable navigating frequent change, and high achiever with a strong inner motivation to over-achieve
Fluent in English and German languages
While it’s not required, it’s an added plus if you also have:
B2B SaaS experience
Customer-facing Sales/Support experience
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Sweden (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity
As a Manager of Solutions Engineering for the NEMEA region at Grafana Labs, you will be responsible for all aspects of building and managing a team of high performing Solution Engineers. You will own the regional build-out with your sales leader counterparts, adopting existing OSS Specific GTM strategies and developing new ones as needed. You’ll work with your Customer Experience counterparts to ensure that your customers are successful after the sale, in their adoption and rollout of Grafana products through professional services, support, training and customer success. You’ll work with marketing to drive community and adoption programs in the region designed to broaden the adoption of both OSS and commercial/cloud versions of our products. You’ll also work closely with Product Management and Engineering to ensure that we are constantly delivering value to our customers by influencing the roadmap, based on your customers and team feedback, as well as leveraging your own experience in the Monitoring and Observability space. All of this will be required for you to hit and then exceed your region's financial targets and ultimately, our company's goals. Your impact will be felt globally when the job is done well.
What you'll be Doing:
Attract, recruit, ramp and mentor a team of great Presales SE’s from diverse backgrounds and experiences.
Get the best out of your team with a servant based leadership approach. Adopting a player/coach mentality will be critical here, ensuring that you balance your field responsibilities with the needs of your team. Mentoring and career development will be critical to your team's success over the long term
Direct the bulk of your day to day work based on guidance and goals from leadership, owning the planning, actions and outcomes of the region.
Partner with the Benelux / NEMEA Sales leadership on customer programs, marketing initiatives and community/company events to drive adoption and expansion within our customer base.
Executive sponsorship of key accounts in the region will be key to your success. Being a thought leader/partner to your customers and the company within EMEA.
Understanding your key customers’ strategies for adoption of Grafana technologies and developing programs and collateral to enable them to be successful.
Ensure that your customers’ requirements are being met with our product through partnership with Product Management and Engineering, helping them prioritize their team's time with a data-driven approach to wins/losses/needs vs wants, etc.
Own and report on the quarter over quarter cadence of your team while they help prospects evaluate our software with demonstrations, technical deep dives, trials and POVs.
Find and drive enablement and sell with/through channel partners in the region. Both at a local, geo and global level with both RSI’s and GSI’s.
What Makes you a Great Fit:
Some experience leading a team, 5-10 years in the high tech industry having held roles such as Developer, Architect, Sales Engineer/Architect, Manager, etc.
Proven success working in a fast-paced, high growth startup environment that is remote-first
Proven track record of mentoring, developing people and managing performance over time. Has successfully mentored individual contributors.
Open Source selling or Cloud first/Product led sales go to market motion a big plus.
Direct experience implementing and/or executing a formal sales methodology, eg COM, Value selling, qualification frameworks like MEDDPICC
Direct experience selling monitoring/data/visualisation products.
Proven ability to own a book of business, direct your own and your team's work and initiatives to exceed your quarterly targets.
English fluency required, and a second European language is preferred
Located in Sweden
In Sweden, the OTE compensation range for this role is SEK 1,480,000 - SEK 1,775,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable), and other benefits listed on our
careers page.
#LI-Remote
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Netherlands (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity
As a Manager of Solutions Engineering for the NEMEA region at Grafana Labs, you will be responsible for all aspects of building and managing a team of high performing Solution Engineers. You will own the regional build-out with your sales leader counterparts, adopting existing OSS Specific GTM strategies and developing new ones as needed. You’ll work with your Customer Experience counterparts to ensure that your customers are successful after the sale, in their adoption and rollout of Grafana products through professional services, support, training and customer success. You’ll work with marketing to drive community and adoption programs in the region designed to broaden the adoption of both OSS and commercial/cloud versions of our products. You’ll also work closely with Product Management and Engineering to ensure that we are constantly delivering value to our customers by influencing the roadmap, based on your customers and team feedback, as well as leveraging your own experience in the Monitoring and Observability space. All of this will be required for you to hit and then exceed your region's financial targets and ultimately, our company's goals. Your impact will be felt globally when the job is done well.
What you'll be Doing:
Attract, recruit, ramp and mentor a team of great Presales SE’s from diverse backgrounds and experiences.
Get the best out of your team with a servant based leadership approach. Adopting a player/coach mentality will be critical here, ensuring that you balance your field responsibilities with the needs of your team. Mentoring and career development will be critical to your team's success over the long term
Direct the bulk of your day to day work based on guidance and goals from leadership, owning the planning, actions and outcomes of the region.
Partner with the Benelux / NEMEA Sales leadership on customer programs, marketing initiatives and community/company events to drive adoption and expansion within our customer base.
Executive sponsorship of key accounts in the region will be key to your success. Being a thought leader/partner to your customers and the company within EMEA.
Understanding your key customers’ strategies for adoption of Grafana technologies and developing programs and collateral to enable them to be successful.
Ensure that your customers’ requirements are being met with our product through partnership with Product Management and Engineering, helping them prioritize their team's time with a data-driven approach to wins/losses/needs vs wants, etc.
Own and report on the quarter over quarter cadence of your team while they help prospects evaluate our software with demonstrations, technical deep dives, trials and POVs.
Find and drive enablement and sell with/through channel partners in the region. Both at a local, geo and global level with both RSI’s and GSI’s.
What Makes you a Great Fit:
Some experience leading a team, 5-10 years in the high tech industry having held roles such as Developer, Architect, Sales Engineer/Architect, Manager, etc.
Proven success working in a fast-paced, high growth startup environment that is remote-first
Proven track record of mentoring, developing people and managing performance over time. Has successfully mentored individual contributors.
Open Source selling or Cloud first/Product led sales go to market motion a big plus.
Direct experience implementing and/or executing a formal sales methodology, eg COM, Value selling, qualification frameworks like MEDDPICC
Direct experience selling monitoring/data/visualisation products.
Proven ability to own a book of business, direct your own and your team's work and initiatives to exceed your quarterly targets.
English fluency required, and a second European language is preferred
Located in the Netherlands
In the Netherlands, the OTE compensation range for this role is EUR 145,000 - EUR 172,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable), and other benefits listed on our
careers page.
#LI-Remote
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Kyiv; Lviv
Workplace: onsite
Ajax Systems is an international technology company and Europe’s largest manufacturer of security systems. Ajax products are trusted by more than 4.5 million end users and 330,000 PRO users across over 180 countries.
The company provides comprehensive solutions for protecting residential and commercial properties of all sizes. Today, the Ajax product portfolio comprises 280 devices covering intrusion protection, video surveillance, fire safety, as well as comfort and automation.
Every year, we continue to achieve multiple-fold growth, both in the size of our team and in the number of users worldwide.
About the role
Clear and comprehensive documentation is not just an add-on to a product. It’s the key to how quickly partners and users can deploy the Ajax system — and how confidently they can take advantage of all its features. This is exactly the kind of documentation you’ll be creating with us.
What awaits you:
Working with devices ranging from motion detectors to advanced fire safety systems.
Writing both dry technical specifications and in-depth articles about AI principles in cameras.
Daily collaboration with R&D, PROD, marketing, product managers, and web developers.
Preparing documents together with the certification team to meet international standards and bring products to new markets.
Becoming a “translator” of complex technical language into clear, user-friendly content.
Responsibilities:
Write technical specifications and align them with R&D.
Create web instructions that make complex features easy to understand for users.
Prepare supplementary materials and recommendations for convenient product use.
Support marketing projects from the technical side and grow your own expertise.
This role is for you if:
You take pleasure in precision: details are not a burden but a tool.
You believe complex things can be explained simply and elegantly.
You feel comfortable in a dynamic environment where change is the norm.
You have experience working with technical texts.
You are proficient in Ukrainian and English (B2–C1).
What we offer:
In return for your dedication and contributions, we offer:
Working in dynamically growing multinational and multicultural Group.
Ability to add value to the business by applying your knowledge and skills.
Ajax security system kit (you will be a part of the beta-testing program and will be able to test new devices and features before official release).
Full-time working schedule.
Medical insurance.
Ajax Systems is a Ukrainian success story — a place of incredible strength and energy.
Location: Mexico
Workplace: remote
About the Role
We're looking for an Automation Specialist to join our Movie and TV Metadata team — a unique, blended role for someone who wants to combine hands-on content work with the chance to build real AI and automation solutions. You'll start by working as a fully contributing project specialist, gaining first-hand knowledge of our workflows, and then progressively apply your technical skills to streamline and automate them.
This is an exciting opportunity for those with a passion for movies, TV shows, and the film industry, who are also keen to apply their automation and AI skillsets to help streamline and improve operations — working closely with Project Managers and program leadership every step of the way.
Project Details
Job Title: Automation Specialist-1
Working Hours: 10:00-18:30 CDT (40 hours/ week)* Tuesday to Saturday or Sunday to Thursday shift
Duration: Contract -indefinite .
Salary/Compensation: 480,000 MXN/ yearly
Location: Mexico (Remote)
Responsibilities
Get hands-on with the Movie & TV Metadata project
Perform quality assurance on movie and TV metadata by accurately following testing instructions and test cases.
Ensure content review and curation adhere to project-specific quality standards, trademarks, style guides, and client-preferred checklists and glossaries.
Complete assigned tasks to a high standard and on time, including repetitive work.
Prioritise tasks and issues quickly and effectively, especially as requirements shift.
Find opportunities to improve how we work
Analyse workflow data and operational performance to identify inefficiencies, bottlenecks, and automation opportunities.
Document opportunities, build a prioritised backlog, and translate your findings into clear, actionable recommendations for Project Managers and leadership.
Track the impact of the solutions you build and iterate based on feedback and performance data.
Design and build automation & AI tools
Design, develop, and deploy automation and AI-assisted tools using approved platforms, under the guidance of your Project Manager.
Use scripting or programming skills (Python, JavaScript, or equivalent) to build robust, maintainable solutions starting with proofs of concept and building toward a steady cadence of delivery.
Create clear documentation and share knowledge with the wider team to support adoption of what you build.
Keep an eye on emerging AI and automation tooling and bring good ideas back to the team.
What We're Looking For
Education
No minimum degree requirement. Relevant technical certifications or demonstrable equivalent experience will be considered.
Required
Passion for and knowledge of the film and TV industry.
Proven analytical capability — you can examine a complex workflow, identify the root cause of a problem, and design a structured solution independently.
Proficiency in at least one scripting or programming language (Python, JavaScript, or equivalent).
Advanced spreadsheet skills, including macros, formulas, and data models.
Strong written and verbal communication in English (native or business-level), with the ability to explain technical ideas to non-technical audiences and navigate ambiguity with sound judgement.
Highly organised and self-directed, able to stay motivated and deliver consistent results — even on repetitive tasks — in a high-volume, fast-paced, evolving environment.
Nice to Have
Practical experience with automation tools, scripting, or AI-assisted workflows in a professional or project setting.
Background in data operations, content review, localisation, or a related field.
Familiarity with automation platforms and AI tooling; experience with prompt engineering.
Proficiency in one or more additional languages at a business level.
No specific degree or minimum years of experience required — we care about what you can demonstrate.
Good to Know
This is a stationary, computer-based role requiring extended periods at a screen.
You'll be working in a high-volume, evolving environment where priorities may shift.
As part of standard project workflows, this role may involve exposure to content that could be considered sensitive (e.g. related to health, adult themes, violence, or other mature topics).
Work Environment Requirements
Comfortable maintaining focus in a stationary role with extended computer use.
Willingness to work in a high-volume, evolving environment where priorities may shift.
This role may involve exposure to content that could be considered sensitive (e.g. content related to health,adult themes, violence, or other mature topics) as part of standard project workflows.
Location: Seattle, WA
Workplace: onsite
Overview
Get Paid to Help Shape the Future of Technology
We are building a community of participants for upcoming in-person data collection projects in Seattle. These projects help improve the next generation of smart devices and technology and we are looking for everyday people to take part.
No experience is required. No special skills are needed. Simply attend your scheduled session, follow a few simple instructions, and get paid for your time.
What You'll Do
Participants take part in short, moderated sessions involving simple, everyday activities such as walking, sitting, or moving through a space while smart devices record the session. A friendly moderator guides you through every step. A trained moderator will guide you through the entire process.
Project Details
Job Type: Freelance/Independent Contract
Time Commitment:Approximately 1 hour
Location: Seattle Metro Area (On-site)
Project Type: Short-term, paid, in-person research sessions
Who Can Apply?
We welcome people of all ages and backgrounds from across the Seattle region.
To participate, you should:
Adults and minors are eligible (participants under 18 require parent/guardian consent)
Be comfortable following simple instructions in English (non-native English speakers are welcome).
Feel free to register with friends or family, you are welcome to participate together.
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: USA - New York
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our New York, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
New York Pay Range
$196,033
—
$245,041.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$183,711
—
$229,638.75 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: USA - Austin (dbt)
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Austin, TX office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
$183,711
—
$229,638.75 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust.
Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh.
This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane.
Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that:
Builds Infrastructure Agents Can Trust
— join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start.
Embraces Open Standards
— help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute.
Scales Without Breaking
— work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled.
We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript.
This is a full-time hybrid position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale
Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Take high-level direction from product and leadership and independently define and execute the concrete plan to get there
Mentor other engineers and raise the technical bar across the Fivetran AI team
Contribute to hiring by participating in and helping shape the interview process
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work
Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand
Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team
Thrives in a startup-like environment with shifting priorities and a high degree of ownership
Bonus Skills
Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
Familiarity with semantic layers — dbt, LookML, Sigma, or similar
Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
Background in site reliability engineering — monitoring, alerting, incident response
Experience in data processing (ETL, ELT) and/or building data connectors
Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
Contributions to open source AI or data projects
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$196,033
—
$245,041.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
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here
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We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
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and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: London
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why This Role?
We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on UK public sector and defence accounts. This is a highly specialised role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organisations.
You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of UK Government and defence organisations. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions.
In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government engagements.
Location: UK
Security Clearance: Active Top Secret clearance preferred; candidates with Active Secret clearance or those who are eligible and willing to obtain clearance will also be considered.
What You'll Do
Customer Program Leadership:
- Own end-to-end technical program delivery for UK public sector and defence customers, from initial deployment through production scaling
- Serve as the primary technical program point of contact for government customers, building trusted relationships with departmental CIOs, IT directors, and technical teams
- Translate complex government requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans
- Navigate government procurement processes, RFP responses, and contractual technical obligations.
Strategic Communication:
- Provide clear, timely, and objective communication across Cohere's engineering organisation, customer stakeholders, and government leadership
- Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds
- Present technical roadmaps and status updates to senior government officials and departmental executives
- Represent Cohere's technical capabilities in sensitive government and defence contexts.
Complex Program Management:
- Create and manage project schedules that account for government timelines, security review processes, and ministerial approval cycles
- Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams
- Navigate risks unique to government deployments: privacy compliance, security authorisations, technical and infrastructure constraints
- Drive alignment between product development priorities and specific government requirements.
Technical Delivery & Execution:
- Ensure on-time delivery of AI solutions that meet government-grade security, privacy, accessibility, and performance standards
- Coordinate technical work across multiple teams: model customisation, security hardening, integration with government systems, bilingual support
- Establish governance checkpoints appropriate for high-stakes government deployments
- Problem-solve complex technical challenges in air-gapped, on-premises, or highly regulated environments.
You May Be a Good Fit If:
Required Experience:
- 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery.
- Excellent executive communication and stakeholder management.
- Experience working with government, defence, or heavily regulated customers (public sector, defence contractors).
- Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements.
- Bachelor’s degree in a relevant field; advanced degree or technical certs a plus.
Technical Background:
- Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped)
- Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator
- Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders.
Government & Defence Acumen:
- Deep understanding of how government organisations procure, evaluate, and deploy technology
- Familiarity with UK government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications
- Understanding of defence and national security considerations in AI deployment
- Experience with Algorithmic Impact Assessments or AI ethics frameworks is a strong asset
- Eligible to obtain UK government security clearance (Top Secret preferred)
Nice to Have:
- Active UK government security clearance (Secret or Top Secret) - preference for active Top Secret clearance
- Background in or strong familiarity with UK defence, intelligence, or critical infrastructure sectors
- Experience with GC Cloud services (Azure, AWS GovCloud) or Protected B/C environments
- Project management certification (PMP, PgMP) or government-specific methodologies.
Security Clearance Requirements
This role requires eligibility for UK government security clearance.
Preference will be given to candidates who currently hold an active UK government Top Secret (TS) clearance, as this will enable immediate engagement with our most sensitive defence and national security customers.
However, we will also consider exceptional candidates who:
- Currently hold UK government Secret clearance and are eligible for TS upgrade
- Do not currently hold clearance, but are eligible and willing to undergo the Top Secret clearance process
- Have a previous government security clearance that has lapsed
Please note that obtaining Top Secret clearance can take 12-18 months. Candidates without active clearance will work on non-classified public sector accounts while the clearance process is underway.
What Makes This Role Unique
This isn't typical program management—it's a highly specialised role at the intersection of frontier AI, national security, and public sector digital transformation. You'll work on some of the UK’s most sensitive and impactful AI deployments, helping government organisations harness cutting-edge technology while maintaining the highest standards of security, ethics, and accountability.
If you're passionate about responsible AI adoption, understand the unique constraints and opportunities within government, and want to have an outsized impact on how the UK leverages AI to serve its citizens, this role is for you.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
УдалённоCanada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Toronto; Victoria; Montreal
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