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
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: Hybrid - London, Berlin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a Senior Technical Account Manager (TAM) to own the post-sales technical relationship for a portfolio of our largest enterprise customers, taking it over from the Solutions Architect (SA) at deal close. Your focus is continuity: customers renew the annual TAM engagement because their technical outcomes improve each year. This role requires travel to customer offices 4 to 8 times a year.
What you'll do
Own the post-sales technical relationship and the annual TAM renewal for a portfolio of enterprise accounts, running a weekly check-in, monthly review, quarterly business review (QBR), and annual roadmap workshop for each
Lead incident follow-through when an escalation or a pattern of incidents emerges: run the post-mortem, find the architectural root cause, own the remediation roadmap, and respond to priority 1 and 2 escalations within 4 business hours
Deliver proactive architectural reviews, technical risk mapping, cost and usage optimization, and pre-launch readiness assessments
Scope hands-on engineering work for Forward Deployed Engineers (FDEs) and audits for Professional Services, and track their outcomes into the customer's technical roadmap, without shipping production code yourself
Relay customer technical needs to Product, Engineering, and Support, and hold those teams to the commitments you have made to your customers
What you need
5+ years in customer-facing technical roles at a platform, infrastructure, or developer tools company, such as technical account management, solutions architecture, developer success engineering, or support engineering
Owned customer relationships at the $1M+ annual contract value (ACV) tier, including QBRs, roadmap workshops, and renewals
Architected, debugged, and optimized production systems on Next.js and Vercel, including App Router, incremental static regeneration (ISR) and caching, Fluid Compute, and the AI SDK
Led technical outcomes across Engineering, Product, and Support without formal authority, and written the incident summaries, post-mortems, and executive readouts that came out of them
Bonus if you
Carried a TAM portfolio at a hyperscaler, infrastructure platform, or developer tools company, such as AWS, Cloudflare, Datadog, or GitHub
Built AI agents with the Vercel AI SDK or Model Context Protocol (MCP) servers
Led cloud financial operations (FinOps) or cost-optimization engagements, or ran an annual roadmap workshop or Well-Architected Review for an enterprise customer
Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Mississauga
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
About the team:
This team provides solutions that streamline internal processes, improve implementations and deliver scalable, autonomous services across our employee facing corporate platforms. We work closely with senior leadership, solution architects, and product teams to bring LLM-driven agents and intelligent workflows into production across a dynamic healthcare SaaS environment.
Job Summary:
This role exists to bring AI-powered automation into real-world use across our corporate platform. This role exists to bring AI-powered automation into real-world use across our corporate platform. It focuses on building intelligent workflows with leading enterprise AI platforms (primarily Microsoft Azure, alongside model providers such as Anthropic Claude and OpenAI) to streamline operations and enhance delivery. The position connects IT and operations with AI innovation to deliver measurable impact in a rapidly evolving environment.
Key Responsibilities:
•Build and support AI agents and intelligent workflows using Microsoft Azure tools such as Azure OpenAI, AI Foundry, and Copilot Studio.
•Design and implement AI-powered orchestration and automation for use cases such as configuration streamlining, onboarding automation, and data migration.
•Collaborate with cross-functional teams (integration, implementation, product, support) to deliver high-quality, scalable AI-driven solutions.
•Develop APIs, scripts, and tools to connect LLM-based agents — using open integration standards such as the Model Context Protocol (MCP) — with existing enterprise systems.
•Support testing, evaluation, deployment, monitoring, and continuous improvement of AI workflows in production, including output-quality evaluation, guardrails, and responsible-AI safeguards.
•Stay current with the AI platform roadmaps of major providers (Microsoft, Anthropic, OpenAI, Google) and emerging industry trends.
•Contribute to the evolution of our internal AI delivery model and promote AI best practices across teams.
Your Key Strengths:
•Bachelor’s degree in computer science, Engineering, Information Systems, or equivalent practical experience.
•Experience building AI-powered workflows using Azure AI Foundry, Copilot Studio and/or Now Assist.
•3–5 years of experience in software or cloud engineering
•Exposure to AI agent orchestration or multi-agent systems
•Hands-on experience with Microsoft Azure services (Azure AI, Azure Functions, Logic Apps, Cognitive Services)
•Familiarity with retrieval-augmented generation (RAG) or vector database integration.
•Experience working with multiple LLMs (OpenAI GPT, Azure OpenAI, Gemini), prompt engineering, and AI-driven automation.
•Proficient in Python, C#, or JavaScript/Type Script
•3-5 years' experience working in SaaS or enterprise environments.
•Familiar with CI/CD pipelines, Git, and cloud deployment practices.
•Understanding of healthcare data formats (HL7, FHIR) is a strong plus.
•Strong problem-solving skills and eagerness to learn in a fast-moving environment.
Tech-D/P3
#LI-MG1
#LI-Remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CA base salary range for this position is $115,000 - $130,000
Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CA locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
Location: Dubai, United Arab Emirates
Workplace: onsite
About You
As Head of Investor Capital and Relations, Middle East, you will operate independently in region with a global reporting line and executive sponsorship, and with the mandate to build the firm's Middle East franchise from first principles: the coverage map, the institutional relationships, the office and, ultimately, the regional team.
This is a builder's role. You will own senior coverage of the region's sovereign wealth funds, government related entities and family offices, lead the office establishment and hub determination between DIFC and ADGM, and coordinate closely with counsel and the firm's government relations workstreams as you build a durable Gulf franchise.
About the Opportunity
Xsolla is seeking a Head of Investor Capital and Relations to be the firm's senior presence in the Gulf and own its most strategically important capital relationships: the region's sovereign wealth funds, government related entities and principal family offices. The GCC is executing one of the most ambitious government backed investment programs in the history of the games industry, and this seat exists to convert that alignment into anchor limited partner relationships, co-investment partnerships and strategic financings for the firm's investment vehicles and transaction pipeline.
The corporate title for this seat is Executive Director, with a defined path to Managing Director tied to franchise milestones. The seat will have one direct report initially, a Regional Relationship Manager, to be hired following office establishment.
The Head of Investor Capital and Relations, Middle East will be based in Dubai (DIFC) or Abu Dhabi (ADGM), with the hub determination in progress and open to the successful candidate's input, and will report to the Senior Vice President of Global Strategic Initiatives and Partnerships. The role requires travel of 50 percent or more across the GCC and wider MENA, with periodic travel to Los Angeles and New York. This is a full time position; the regional package will be structured with local counsel.
Expressions of Interest
Xsolla welcomes confidential conversations with qualified candidates and trusted introductions. Please direct expressions of interest, together with a resume and a short note on relevant experience, to the Xsolla Talent Acquisition team via the application button linked below.
About Us
Xsolla is a global commerce and financial technology company for the video game industry. Headquartered in Los Angeles with offices and operations worldwide, Xsolla provides the tools, infrastructure and capital solutions that help developers and publishers fund, launch, distribute and monetize their games across every market and platform. The company serves thousands of game businesses globally, from independent studios to the largest publishers, and is expanding a dedicated capital markets and investment platform serving the interactive entertainment ecosystem.
The Capital Markets Group
The Capital Markets Group (CMG) sits within Xsolla's Global Strategic Initiatives function and operates as the firm's institutional capital platform. The group originates, structures and executes financing and investment solutions across games and interactive entertainment, and is building a franchise modeled on the leading independent capital markets and special situations advisory platforms.
The group operates multiple investment vehicles spanning debt financing and credit markets, alongside special situations and principal investment strategies serving the interactive entertainment ecosystem. These activities are supported by a proprietary market intelligence system, a global events and convening program, and a governed institutional relationship platform covering LPs, sovereign investors, family offices, banks and intermediaries across the Americas, MENA, APAC and Europe.
CMG operates from hubs in Los Angeles, New York, the Middle East and Singapore. The group is in its foundation stage: hires at every level join a live deal environment with executive sponsorship, meaningful ownership and the mandate to build a durable franchise rather than inherit one.
For more information, visit xsolla.com.
RESPONSIBILITIES
Key Responsibilities
Sovereign and Institutional Coverage
Own sovereign coverage. Own senior coverage of the region's sovereign wealth funds and government related entities, including their gaming, technology and entertainment investment vehicles, with documented access paths and personal ownership of the firm's most senior regional relationships.
Build family office coverage. Build and maintain coverage of the GCC's principal single and multi family offices, regional institutional investors and banks, with complete, current records in the firm's relationship platform.
Map the counterparties. Map the decision making architecture of each priority institution, including investment committee cadence, mandate criteria, co-investment appetite and approval chains, and maintain that intelligence as a living asset.
Capital Formation and Transactions
Lead regional fundraising. Lead regional pre-marketing and fundraising processes for the firm's investment vehicles within applicable private placement and promotion regimes, coordinating with counsel on the marketing approach for each jurisdiction.
Originate co-investment dialogues. Originate and manage sovereign co-investment dialogues alongside fund principals, and support strategic and government aligned financing conversations through to execution.
Own diligence processes. Manage institutional diligence processes end to end, including DDQ coordination, data room support, operational due diligence visits and reference management.
Franchise and Regional Platform
Advise on the hub decision. Advise the hub determination between DIFC and ADGM, and lead the establishment of the regional office with Legal and Finance, including regulatory positioning of the firm's regional activities.
Build the region's presence. Build the firm's presence across the region's priority investment forums and convening platforms, and run a regional events calendar that converts presence into qualified pipeline.
Coordinate with government relations. Coordinate deliberately with the firm's government relations and sovereign engagement workstreams so that capital coverage and institutional diplomacy reinforce one another.
Build the regional team. Recruit and develop the regional Relationship Manager and subsequent hires; establish coverage and CRM standards for the region.
Risk and Controls
Ensure regulatory compliance. Ensure all regional marketing and promotion activity complies with applicable regimes, including DIFC and ADGM promotion rules and the private placement frameworks of each GCC jurisdiction, in coordination with counsel.
Maintain counterparty awareness. Maintain rigorous counterparty awareness, including KYC, AML and sanctions screening coordination with the firm's compliance processes, and escalate reputational risk considerations early.
REQUIREMENTS
Candidate Profile
Experience
10 or more years covering MENA institutional capital from an investment bank, sovereign investor, placement agent, asset manager or family office platform, including at least 5 years in a senior client facing capacity.
Demonstrable senior relationships inside GCC sovereign institutions and principal family offices, with a referenceable record of capital raised, commitments secured or strategic partnerships executed in the region.
Existing relationships across the region's sovereign gaming, esports and digital entertainment programs and their investment arms are a strong advantage, as is a cumulative placement or capital formation record in the region of USD 500 million or more.
Domain Expertise
Working knowledge of the regional regulatory landscape relevant to fund marketing and promotion, including the DIFC and ADGM frameworks and private placement practice across the GCC.
Experience marketing alternative strategies such as credit, special situations or private equity to sovereign and family office investors, including familiarity with Shariah aware structuring considerations, is preferred.
Experience establishing or operating a regulated or exempt presence in the DIFC or ADGM is preferred.
Skills and Competencies
Deep cultural fluency and protocol judgment in sovereign, government and family office settings, and the discretion those relationships demand.
Proven ability to operate independently in region on a global platform, with disciplined reporting, pipeline management and follow through.
Exceptional written and verbal communication skills in English; Arabic language fluency is preferred.
A high degree of ethics and integrity, with a clean regulatory and disciplinary history.
Education and Credentials
A bachelor's degree is required.
A CFA or CAIA charter, or equivalent, is preferred.
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical plan, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Head of Investor Capital & Relations role, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Working with vulnerable populations
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the UAE Personal Data Protection Law:
Applicants are encouraged to inquire about their rights under the UAE Personal Data Protection Law. If you have questions regarding our hiring practices, please contact careers@xsolla.com
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with thisXsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Compensation is competitive and negotiable based on experience, and includes performance-based incentives, equity participation, and comprehensive health, retirement, and wellbeing benefits.
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 Senior 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. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range 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 evaluate what’s actually relevant to Fivetran AI’s roadmap
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale
Write and maintain tests, and do hands-on QA to catch issues before customers do
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next
Develop software designs and contribute to the technical roadmap for the Fivetran AI platform
Contribute to hiring by participating in the interview process
Skills We’re Looking For
5+ 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 in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding
Comfortable reading AI/ML research and turning promising findings into working prototypes
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
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
Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements
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
$174,915
—
$209,906.50 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 Senior 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. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range 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 evaluate what’s actually relevant to Fivetran AI’s roadmap
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale
Write and maintain tests, and do hands-on QA to catch issues before customers do
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next
Develop software designs and contribute to the technical roadmap for the Fivetran AI platform
Contribute to hiring by participating in the interview process
Skills We’re Looking For
5+ 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 in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding
Comfortable reading AI/ML research and turning promising findings into working prototypes
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
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
Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements
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
$163,920.50
—
$196,712.50 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: 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 Senior 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. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range 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 evaluate what’s actually relevant to Fivetran AI’s roadmap
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale
Write and maintain tests, and do hands-on QA to catch issues before customers do
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next
Develop software designs and contribute to the technical roadmap for the Fivetran AI platform
Contribute to hiring by participating in the interview process
Skills We’re Looking For
5+ 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 in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding
Comfortable reading AI/ML research and turning promising findings into working prototypes
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
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
Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements
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
$163,920.50
—
$196,712.50 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: 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 Senior 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. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range 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 evaluate what’s actually relevant to Fivetran AI’s roadmap
Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features
Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI
Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse
Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale
Write and maintain tests, and do hands-on QA to catch issues before customers do
Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human
Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next
Develop software designs and contribute to the technical roadmap for the Fivetran AI platform
Contribute to hiring by participating in the interview process
Skills We’re Looking For
5+ 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 in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding
Comfortable reading AI/ML research and turning promising findings into working prototypes
Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
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
Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements
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
$174,915
—
$209,906.50 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: Singapore
Workplace: remote
About the Company
CertiK leads blockchain security by securing smart contracts and blockchains with cutting-edge Formal Verification technology. Founded by Computer Science professors of Yale University and Columbia University, CertiK has audited and secured over $500B in assets, including many of the world’s top blockchain projects.
About This Role
Singapore is where the institutional future of digital assets is being built.
As Business Development Manager for Singapore, you drive the commercial relationship with the institutions that need it — exchanges and DPT licensees, banks and financial institutions moving into tokenisation, protocols and Web3 native teams, and the funds and infrastructure providers around them. You will run the full cycle: build the pipeline, get in front of decision-makers, understand their security and compliance problem, and close.
You will work alongside a capital markets and policy team and a technical organisation whose auditors, forensics, and on-chain surveillance work sets the benchmark for the industry.
About You
You are a builder of relationships and a closer of deals, and you are comfortable doing both in a market where the buyer is sophisticated and the sale is technical. You can hold a conversation with a CTO about smart contract risk and, an hour later, hold one with a Chief Compliance Officer about transaction monitoring and licensing obligations — and be taken seriously in both. You are self-directed about pipeline: you find the opportunity rather than waiting for it to be routed to you.
Critically, you understand that in this market a regulatory shift is a commercial event, and you know how to move first when one lands.
Responsibilities
Pipeline generation
and prospecting.
Build and own the Singapore pipeline through outbound, inbound qualification, referrals, ecosystem relationships, and event presence — identifying and prioritising the accounts that matter across exchanges, financial institutions, VASPs, protocols, and infrastructure providers.
Full-cycle deal execution.
Run opportunities end to end: discovery, scoping with technical teams, proposal and commercial structuring, negotiation, and close.
Solution positioning.
Develop the depth to position CertiK’s portfolio credibly — audits and formal verification, penetration testing, on-chain surveillance and AML/compliance tooling, and incident response — and to map them to a specific client’s risk, regulatory, and commercial pressures.
Account management
and expansion.
Own relationships post-sale, drive renewals and expansion, and act as the client’s primary commercial point of contact.
Partnerships
and ecosystem.
Develop channel and referral relationships with law firms, consultancies, custodians, infrastructure providers, and industry associations that extend CertiK’s reach into the market.
Market intelligence
and feedback.
Track the competitive and pricing landscape, capture what you learn in the field, and feed it back into pricing, product, and go-to-market decisions.
Cross-functional coordination.
Work with policy, product, engineering, and marketing to build the proposals, materials, and campaigns that win business — and with the regional leadership team on territory strategy and forecasting.
Reporting
and CRM discipline.
Maintain accurate pipeline data, forecasts, and activity records; report against clear quarterly targets.
Ad hoc requests
Requirements
Bachelor’s degree in business, finance, economics, computer science, or a related field.
Minimum of 4 years of B2B business development, enterprise sales, or account management experience, with a demonstrable record of meeting or exceeding revenue targets. Prior experience at a Web3 security, blockchain analytics, RegTech, or cybersecurity vendor is a plus.
Solid working knowledge of smart contract security, on-chain analytics, AML/CFT, or virtual asset compliance concepts. Understanding of the digital asset and blockchain landscape, and of the security and compliance problems institutions in this market face.
Established network in the Singapore or wider Southeast Asian digital asset, fintech, or financial services ecosystem.
Excellent written and verbal English, and the ability to present with confidence to senior and technical audiences. Proficiency in another Asian language is a plus.
Strong commercial instincts.
Highly organized, self-directed, and able to run multiple opportunities and deadlines with limited supervision. Comfortable operating in a fast-paced environment.
Existing right to work in Singapore, or eligibility to obtain one.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
ABOUT THE ROLE
We’re looking for an IT Security Engineer to own and strengthen the security of our corporate technology environment. This is a hands-on role spanning identity and access management, endpoint security, SaaS security, Zero Trust, security automation, and incident response.
You’ll work closely with Security, IT, Engineering, and business teams to build secure, scalable systems and automate the controls that protect our people, devices, applications, and data.
WHAT YOU’LL DO
IDENTITY & ACCESS MANAGEMENT
- Own and strengthen identity and access controls across our corporate environment, with a focus on Microsoft Entra ID.
- Implement and maintain SSO/SAML, SCIM provisioning, MFA, Conditional Access, and RBAC.
- Build and improve automated joiner, mover, and leaver (JML) workflows.
- Regularly review permissions, privileged access, and authentication policies to reduce unnecessary access and security risk.
- Help establish identity as the foundation of our Zero Trust security model.
ENDPOINT SECURITY
- Manage and improve endpoint security through Microsoft Intune/MDM, device compliance policies, and endpoint protection tooling.
- Deploy and maintain EDR capabilities across the corporate fleet.
- Establish and enforce security baselines for employee devices.
- Investigate endpoint security events and remediate compromised or non-compliant devices.
SAAS & CORPORATE APPLICATION SECURITY
- Assess and improve the security posture of corporate SaaS applications.
- Partner with application owners to implement appropriate authentication, authorization, provisioning, and data-access controls.
- Identify shadow IT, excessive permissions, insecure configurations, and other SaaS-related risks.
- Help establish scalable security standards for onboarding and managing new corporate applications.
ZERO TRUST & CORPORATE ACCESS
- Design and implement Zero Trust principles across identity, endpoints, applications, and corporate access.
- Strengthen controls around privileged access, remote access, and access to sensitive systems.
- Apply practical security controls that balance strong protection with employee productivity.
SECURITY AUTOMATION
- Automate repetitive security and IT workflows using scripts, APIs, and integrations.
- Build tooling to automate access reviews, provisioning, compliance checks, alert enrichment, remediation, and other security processes.
- Use scripting languages such as Python or JavaScript to improve security operations and reduce manual work.
- Look for opportunities to turn manual security processes into scalable, reliable systems.
DETECTION & INCIDENT RESPONSE
- Monitor and investigate security alerts across identity, endpoint, and corporate systems.
- Perform initial investigation and triage of suspicious activity and potential security incidents.
- Support incident containment, remediation, and post-incident improvements.
- Build lightweight detections and alerts for meaningful risks within the corporate environment.
WHAT WE’RE LOOKING FOR
- Strong hands-on experience with identity and access management, ideally within Microsoft Entra ID.
- Experience implementing or managing SSO/SAML, SCIM, MFA, Conditional Access, RBAC, and JML workflows.
- Experience with MDM and endpoint security, ideally Microsoft Intune and modern EDR tooling.
- Understanding of SaaS and corporate application security.
- Experience implementing or operating within a Zero Trust security model.
- Ability to automate workflows using scripts and APIs, with experience in a language such as Python or JavaScript.
- Working knowledge of security detection, investigation, and incident response.
- Strong security judgment — you can distinguish theoretical risk from meaningful business risk and prioritize accordingly.
- Comfortable operating independently in a fast-moving startup environment where priorities can change quickly.
- Builder mindset: you look for ways to automate, simplify, and improve systems rather than relying on manual processes.
NICE TO HAVE
- Experience with reverse engineering, CTFs, security competitions, or similar hands-on security challenges.
- Strong understanding of networking fundamentals, including VPNs, network segmentation, authentication protocols, and common lateral-movement techniques.
- Experience securing rapidly scaling or highly technical organizations.
- Experience working closely with engineering or product security teams.
- Familiarity with cloud security concepts and modern security monitoring tools.
WHAT WE OFFER:
- Competitive base salary in USD
- Equity: participation in the company’s stock option program, giving you the opportunity to share in the company’s long-term growth.
- On-site role in our Almaty office (we will relocate you from anywhere).
Location: Costa Mesa, United States
ABOUT THE JOB
We are looking for a
FPGA Verification Engineer
to join our rapidly growing team in
Costa Mesa, CA
. You will own verification of FPGA/SoC designs on AMD (Xilinx) platforms for flight-critical avionics, with a focus on UVM-based methodology and coverage-driven verification. This will require expertise in SystemVerilog, object-oriented programming, and UVM. If you are someone who has supported rapid avionics development, then this role is for you.
WHAT YOU’LL DO
Architect and implement UVM verification environments (drivers, monitors, predictors, scoreboards) for AMD (Xilinx) FPGA/SoC designs
Develop verification plans with traceability to system and hardware requirements
Author SystemVerilog Assertions (SVA) for protocol compliance and design intent checks
Build functional coverage models and drive code coverage analysis to closure
Develop constrained-random and transaction-level test sequences to maximize coverage and uncover corner-case bugs
Establish and maintain regression suites, tracking coverage metrics and verification progress
Debug failures using waveform tools and simulation logs at the HDL and system level
Collaborate with design engineers on RTL reviews, bug resolution, and micro-architecture refinement
Support hardware validation and board bring-up on target platforms
Ensure verification meets DO-254 and relevant safety standards
Author verification closure reports and coverage analysis summaries
REQUIRED QUALIFICATIONS
Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field
2+ years of experience in FPGA/ASIC verification
Proficient in SystemVerilog, UVM methodology and SVA, with experience contributing to and extending UVM testbenches
Object-oriented programming principles
Industry simulators (Questa, VCS, Xcelium, or Vivado)
Git-based collaborative workflows including code review
Linux development environments
Strong communication and teamwork skills
Eligible to obtain and hold a U.S. Secret security clearance
PREFERRED QUALIFICATIONS
5+ years of experience in FPGA/ASIC verification
Master’s degree in Electrical Engineering, Computer Engineering, or related field
DO-254, avionics verification standards for UAS, and safety-critical verification processes
SVUnit or equivalent unit-testing frameworks
Formal verification or CDC verification tools
Digital interfaces: Ethernet, PCIe, JESD204C, MIL-STD-1553, SPI
Verification automation scripting (Python, Tcl, Makefile)
SoC and ARM-based embedded platforms
Verification automation, CI/CD integration, and Nix-based build environments
Location: Montreal, Canada
TASK SUMMARY:
Architecture Concept & Requirements
• Gather functional, performance, environmental and security requirements from mission stakeholders & CONOPs.
• Map requirements to payload equipment performance with I/F with on-board processor
• Coordinate with cybersecurity team for payload‑specific assessments
• Perform requirement management and maintain bidirectional traceability throughout the program life cycle.
Payload Architecture & Design
• Implement the high‑level digital payload architecture (optical ISLs, Phased array antennas, Feeder links & front‑end), master reference oscillator & clock synchronizations.
• Produce Interface Control Documents (ICDs) with other subsystems and ground segment.
• Implement high‑speed data‑bus I/F (SpaceWire, SpaceFibre, Ethernet, CAN).
Simulation & Analysis
• Perform performance simulations (Gain, Spurious, Linearity, SNR, dynamic range, spectral efficiency, G/T, EIRP…etc.) and Monte‑Carlo analyses for tolerance budgeting.
• Define and maintain Payload DC power budget with traffic & utilization models
• Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission objectives
Hardware & Firmware
• Provide system‑level specifications to hardware designers, review schematics, layouts, thermal interfaces, and mechanical constraints.
• Support SW development for MODCODs and on‑board processing pipelines; ensure BIST, timing, latency and deterministic behavior.
Cross‑Functional Coordination, Stakeholder & Program Interaction
• Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners.
• Support payload design authority in System design reviews, Power/Structure/Thermal interfaces and Mission Operations assessments.
• Liaise with Electrical, Power, Structures, Thermal, Software, Ground‑Segment and Mission‑Operations teams to resolve integration issues early.
• Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Develop Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns.
• Lead test‑automation framework set‑up, test‑case definition, results analysis and test‑report certification.
Technical Leadership & Mentorship
• Mentor, guide junior engineers and interns.
• Act as technical liaison with customers, partners and external vendors
• Act as Continuous Improvement stakeholder
• Contribute to our client's knowledge‑base, process enhancements, and standards development.
Configuration, Documentation & Standards Management
• Ensure all artefacts, analysis, software, deliverables and documentation are version controlled in PLM environment.
• Lead and Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
• Support Technology Road‑Mapping & Innovation.
On Orbit & Operations Support
• Provide technical support to Mission Operations for routine payload health monitoring, contingency handling and performance trending.
• Lead root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned.
• Analyze on‑orbit telemetry, update filter parameters, and generate performance reports.
• Support SOOH development and associated operator training.
Required Qualifications:
• B.Sc. in Electrical Engineering, Aerospace or Physics with 8 + years of digital regenerative payload system design experience on LEO/MEO missions.
• Comprehensive knowledge of digital communications, SDR, DSP, DVB RCS/SX protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G NTN.
• Strong technical-writing ability (requirements, ICDs, test procedures, risk reports) and presentation skills; comfortable interfacing with customers, suppliers and senior leadership.
• Strong understanding of aerospace system engineering fundamentals.
• Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.
• Experience with Confluence and JIRA.
• Demonstrated capability to efficiently work with little supervision.
• Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.
• Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).
Location: Montreal, Canada
Tasks summary:
Architecture Concept & Requirements
• Establish functional, performance, environmental and security requirements with mission stakeholders & CONOPs.
• Translate requirements into clear payload performance parameters and maintain bidirectional traceability throughout the project lifecycle.
• Establish with cybersecurity team payload‑specific requirements & embed resilience and security by design.
Payload Architecture Definition
• Define the overall digital regenerative payload architecture (optical/RF ISLs, antenna arrays, digitizers/ onboard processing, Feeder links, master reference oscillator & clock synchronizations).
• Define Interface Control Documents (ICDs) with spacecraft bus, ground segment and payload specific subsystems.
• Define high‑speed data‑bus I/F (Serdes, SpaceWire, SpaceFibre, Ethernet, CAN, fiber).
Trade‑Study & Technology Road‑Mapping
• Lead trade‑offs for technologies, ASIC/FPGAs/SoCs, high‑speed data‑bus, and on‑board processing algorithms, PVT.
• Identify emerging technologies and incorporate them into our client’s long‑term roadmap.
System Modeling & Performance Simulation
• Build end‑to‑end models of the signal chain (optical/RF, analog/digital) using MATLAB/Simulink, SystemView or Python‑based toolkits.
• Run Monte‑Carlo and tolerance analyses to verify gain, SNR, dynamic range, spectral efficiency, G/T, EIRP and other key metrics.
• Optimize payload design and performance with operation with traffic models/CONOPs.
Simulation & Analysis
• Oversee performance simulations & analysis (Gain, Spurious, Linearity, SNR, dynamic range, spectral efficiency, pointing, G/T, EIRP…etc.) and tolerance budgeting.
• Optimize Payload DC power budget with traffic & utilization models.
Hardware & Firmware
• Own system‑level specifications to hardware designers, review schematics, layouts, thermal & mechanical interfaces.
• Oversee MODCODs selection and on‑board processing pipelines; define BIST, timing, latency and deterministic behavior.
Cross‑Functional Coordination, Stakeholder & Program Interaction
• Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners.
• Act as the primary technical liaison with Electrical, Power, Structures, Thermal, Software, Ground Segment and Mission Operations teams to resolve integration issues early.
• Support payload design authority in System design reviews and Mission Operations hand‑over.
• Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Author Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns.
• Define test‑automation framework set‑up, test‑case definition, results analysis and test‑report certification.
Technical Leadership & Mentorship
• Mentor, guide junior engineers and interns.
• Act as technical liaison with customers, partners and external vendors
• Act as Continuous Improvement stakeholder
• Contribute to our client’s knowledge‑base, process enhancements, and standards development.
Configuration, Documentation & Standards Management
• Ensure all artefacts, analysis, software, deliverables and documentation are version controlled in PLM environment.
• Chair design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
• Support Technology Road‑Mapping & Innovation.
On Orbit & Operations Support
• Technical support to Mission Operations for routine payload health monitoring, contingency handling and performance trending.
• Lead root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned.
• Analyze on‑orbit telemetry, update filter parameters, and generate performance reports.
• Define SOOH and associated operator training.
Required Qualifications:
• B.Sc. in Electrical Engineering, Aerospace or Physics (M.Sc. preferred) with 12 + years of digital regenerative payload system design experience on LEO/MEO missions.
• Comprehensive knowledge of digital regenerative communications, SDR, DSP, DVB RCS/SX protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G, NTN.
• Strong technical writing ability (requirements, ICDs, test procedures, risk reports) and presentation skills; comfortable interfacing with customers, suppliers and senior leadership.
• Strong understanding of aerospace system engineering fundamentals.
• Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.
• Experience with Confluence and JIRA.
• Demonstrated capability to efficiently work with little supervision.
• Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.
• Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).
Location: Remote - United Kingdom
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
About the job
The Twilio Presales Engineer is both highly technical and a skilled executive relationship builder. They are comfortable showing an engaging communications experience to a CEO or sketching out a flow on a whiteboard with technical decision makers.
This position is needed to deliver the technical win and product fit to our customers across the EMEA region. A Twilio Presales Engineer is an experienced pre-sales engineer who builds customer trust in Twilio’s Customer Engagement Platform, resulting in customer success at our largest, most strategic accounts. The Presales Engineer leads the technical pre-sales relationship, proposes technical architectures, demonstrates the product, anticipates concerns, and provides creative solutions to our customers' most complex communications and customer engagement challenges and needs.
Responsibilities
In this role as Presales Engineer, you’ll:
Work alongside Twilio New business Account Executives, other Twilio Solutions Engineers, Professional Services and Twilio Partners as needed through the pre-sales process, to strategise and plan for deal success.
Build a successful business partnership with Twilio Account Executives focussing on great business discovery within prospects and communicating the business value of Twilio solutions.
Take part alongside Account Executives in qualification, discovery, demonstrations, Proof-of-Concept, RFP response, design documentation, technical presentations and enablement sessions during the sales cycle.
Develop subject matter expertise on the customer needs and requirements, and Twilio’s best in class communications technology.
Lead technical discovery sessions with our customers to uncover their needs and challenges to articulate Twilio’s ability to enable their success and solve their challenges.
Build and present powerful and complex presentations and product demos to help showcase the capabilities of Twilio Communications Products.
Form an understanding of a customers business and help solve problems they’ve identified as well as uncover areas of opportunity.
Build trusted advisor relationships at the highest levels of our customers and present creative new solutions and architectures that enable and inspire innovation
Contribute to the wider Twilio Solutions Engineer community by sharing knowledge, building demo assets and reusable presentations.
Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Twilio is looking for a Presales Engineer with a strong desire to work in a technical pre-sales role. You will need:
Required:
At least 3 years in a technical pre-sales role in CPaaS, SaaS or Telecom space
Solid understanding and experience of the sales cycle and the role of a pre-sales engineer
Solid understanding of voice protocols (VoIP), SIP implementations or messaging APIs
Creativity: you’ll need to be a problem solver, able to collaborate with others to drive success.
An engaging storyteller: you can gain audience confidence and communicate complex topics to multiple levels of technical and non-technical audience.
Ability to ask the right questions to build a deep understanding of a customers needs and guide them to a technical solution using Twilio Communications products
Knowledge of public cloud platforms (Amazon Web Services, Google Cloud, Microsoft Azure) and cloud application architectures
Experience writing code in one or more of the following areas, multiple areas of experience would be advantageous:
Backend (Java, C#, Node.js, Python or PHP)
Web (JS, React)
Experience with designing and consuming REST APIs
Desired:
Hands on experience with with backend development (Java, C#, Node.js, Python, PHP, etc)
Familiarity with Mobile development, especially for iOS and Android.
Previous experience in Telecommunications, SIP, WebRTC, or Contact Centre in a technical role
Experience with automation, cloud-native development and skills with a major cloud platform.
Experience with sales methodologies
Location
This role will be remotely based in the UK or Ireland
We prioritise connection and opportunities to build relationships with our customers and each other. For this role, approximately 35% travel is anticipated to help you connect in-person in a meaningful way.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Remote - Ireland
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Staff Software Engineer.
About the job
This position is needed to add to our Voice Connectivity Trust team to enable Twilio to better support our customers using Voice in their solutions. As a Software Engineer on this team you will participate in all phases of the software development life cycle which includes requirements gathering with Product Managers, technical design, estimations, sprint planning, coding, testing, deployments and on-call support. This engineer will own, operate and maintain their teams’ services in a distributed production environment, employing agile methodologies to continuously deliver value to customers.
Responsibilities
In this role, you’ll:
Be an owner:
Design and implement real-time services with high throughput and low latency requirements, verify, deploy and operationalize them
Wear the customer's shoes:
Work closely with stakeholders to understand customer needs and, devise and deliver, simple, robust and scalable solutions
Write it down:
Be comfortable expressing thoughts and ideas as detailed prose and use it as an effective means to collaborate with leads, architects and cross functional teams
Be bold:
Embrace the challenge of scaling a complex distributed platform with points of presence globally, each one concerned with high availability, high reliability, high throughput, low latency, and media fidelity
Draw the owl:
Figure out novel ways of solving customer problems for the Voice channel
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
Minimum 8 years of hands-on experience in a large scale, distributed applications environment on JVM based technologies
Bachelor's degree in Computer Science or a related engineering field
Strong Computer Science fundamentals not limited to data structures, algorithms, operating systems, and distributed systems
Experience building RESTful services, API design and event-driven architectures (Kafka, SQS)
Hands-on experience designing and driving the optimization of CI/CD pipelines
Experience with on-call rotations, incident response, monitoring/alerting tools (Prometheus, Datadog, Grafana)
Hands-on experience with cloud infrastructures such as AWS, GCP, OpenStack or Azure
Excellent written communication skills - essential for effective AI prompting and for creating clear technical documentation (with or without AI assistance)
Proven ability to critically evaluate AI-generated code for correctness, security, performance, and maintainability
Hands-on Java experience with strong fundamentals, able to architect, review, and debug code whether it's yours, a teammate's, or an AI agent's
Demonstrated proficiency working with AI coding assistants (Claude, GitHub Copilot, Cursor, or similar) - you should be able to describe your workflows and show examples
Experience scaling data tiers employing a variety of SQL/NoSQL database and caching technologies
Hands on experience scaling production backend systems, with the proven ability to design and develop horizontally-scalable, resilient and performing-under-load systems
Strong team collaborator who is both highly motivated and a motivating influence on peers
Demonstrated technical leadership by driving architectural decisions, leading cross-functional technical initiatives, and actively mentoring team members
Desired:
Can demonstrate how you effectively use AI to deliver value efficiently
Knowledge and experience working with SIP protocol
Knowledge and experience working with Stir/Shaken protocol
Location
This role will be remote, and based in Ireland.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As Director, Support Engineering for our Bengaluru Center of Support, you'll build and manage GitLab's India-based regional support hub as a strategic peer to our Americas and Europe, Middle East, and Africa hubs. Reporting to the Vice President of Support Engineering, you'll own the hub's organizational design, headcount growth, management infrastructure, and operating standards while building a healthy team that delivers enterprise-grade technical support across Asia-Pacific and Europe, Middle East, and Africa time zones. This remote-friendly role is based in Bengaluru, India.
What you’ll do
Design and build the Bengaluru hub's organizational structure, including specialist and management roles, customer and product segmentation, and shift coverage models.
Establish the management infrastructure, operating rhythms, escalation frameworks, and quality standards needed to support sustainable headcount growth.
Manage hiring and retention in partnership with Talent Acquisition, including role profiles, interview panels, offer selections, career paths, internal mobility, recognition, and team culture.
Develop managers and support engineers, set clear performance expectations, provide transparent feedback, and create pathways into global Support Engineering management roles.
Own performance against service-level targets, customer satisfaction, ticket quality, resolution metrics, and transparent reporting against global key performance indicators.
Implement local escalation workflows, Request for Help integration, and shift handoff protocols across the Asia-Pacific, Europe, Middle East, and Africa, and Americas support hubs.
Guide
the hub's use of GitLab's artificial intelligence toolchain and partner with Support Operations and Strategy on tooling, analytics, and process automation.
Work with regional Support Engineering managers, Product, Engineering, and the Vice President of Support Engineering on global strategy, customer insights, operating plans, headcount models, and the Support Engineering roadmap.
What you’ll bring
Experience managing technical support engineering or a closely related customer-facing technical function, including through a manager-of-managers structure.
A record of building or significantly scaling a support organization, including organizational design, hiring infrastructure, onboarding, and team culture.
Experience establishing a global delivery hub or Center of Support and coordinating service delivery across regions and time zones.
Deep knowledge of supporting enterprise software as a service, including managing service-level obligations, tiered support models, escalation frameworks, and operational metrics.
Experience working in a distributed environment that combines asynchronous and synchronous collaboration, with clear written and verbal communication.
Familiarity with AI-assisted support tooling and experience introducing new tools or automation at scale.
Demonstrated ability to retain and develop technical team members in a dynamic hiring market.
Knowledge of DevSecOps platforms, continuous integration and continuous delivery tooling, Kubernetes, or cloud-native infrastructure, along with experience using support platforms such as Zendesk, Salesforce, Decagon, or equivalent tools. Experience with GitLab as a user, administrator, or customer is helpful.
About the team
The GitLab Support Engineering team is distributed across the Americas, Europe, Middle East, and Africa, and Asia-Pacific. Support engineers and managers work on tickets and help GitLab's customers. We also examine code and logs to find root causes. We solve complex problems collectively, participate in pairing sessions and one-on-ones, and stay in communication across time zones through deliberate asynchronous work habits. Support is where customers meet GitLab, and we take that seriously.
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. The Fortune 100 claim is based on GitLab data and refers to the top 20% of companies ranked in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited aren't affiliated with and don't endorse GitLab products or services.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
OUR MISSION
At Humanoid we strive to create the world's leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.
ABOUT THE ROLE
As a Research Engineer on the World Models team, you will build action-conditioned generative models that predict how the world evolves around our robots — future video, proprioception, contacts, and outcomes — from past observations and actions. World models serve four purposes in our stack: a pretrained, physics-aware prior for our VLA policies; an engine for rare data collection, cross-platform transfer, and sim-to-real transfer; a testbed for policy evaluation and testing before hardware; and a future-prediction rollout engine that surfaces what our policies intend to do, for safety and planning. This is a hands-on individual contributor role: you will design architectures, run large training jobs, and validate your models against real fleet data from industrial deployments.
WHAT YOU'LL DO
- Design and train multimodal world models — video, state, action, and language — using diffusion-based and transformer architectures.
- Build action-conditioned video prediction and dynamics models that stay physically consistent over long horizons, including contact-rich manipulation, and serve as pretrained priors for VLA policies.
- Develop learned-simulator evaluation: score candidate policies offline, predict real-world success rates before deployment, and roll out policy futures to expose intended behaviour for safety review and planning.
- Generate synthetic rollouts and counterfactual experience — including rare events, cross-platform transfer, and sim-to-real transfer — to augment policy training, and measure their effect on downstream task performance.
- Establish fidelity metrics and calibration protocols that quantify where the world model can be trusted and where it diverges from reality.
- Build data pipelines that turn fleet telemetry, teleoperation logs, and internet-scale video into training corpora for world models.
- Run scaling and ablation studies on architecture, data mixture, and context length; communicate findings crisply.
- Collaborate with pretraining, RL, and manipulation teams to integrate world models into policy training and evaluation loops.
WHAT WE'RE LOOKING FOR
- A track record of training large generative models — video, world, or multimodal — with shipped models or published artifacts to show for it.
- Deep hands-on experience with modern generative architectures: diffusion models, autoregressive transformers, latent-variable models, or video prediction.
- Experience with large-scale distributed training: streaming datasets, checkpointing and state management, debugging numerics and training instabilities.
- Strong Python + PyTorch/JAX; you can profile kernels, optimize data loaders, and write maintainable research code.
- Empirical rigor: you design careful evaluations, run honest baselines, and document experiments clearly.
- Excitement about grounding generative models in physical reality rather than pixels alone.
NICE TO HAVE
- Experience with world models for robotics or autonomous driving (e.g., action-conditioned video models, learned simulators, model-based RL).
- Familiarity with robotics simulators (Isaac Sim, MuJoCo) and sim-to-real considerations.
- Experience using world models for policy evaluation or synthetic data generation at scale.
- Publications at top-tier deep learning conferences (NeurIPS, ICML, ICLR, CoRL, CVPR) or equivalent open-source contributions.
- Experience optimizing generative models for fast inference.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Oakland, California, United States, AMER
Hybrid - London, Berlin
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Bangalore, India; Reporting to the Vice President of Support Engineering, you'll own the hub's organizational design, headcount growth, management infrastructure, and operating standards while building a healthy team that delivers enterprise-grade technical support across Asia-Pacific and Europe, Middle East, and Africa time zones; Experience establishing a global delivery hub or Center of Support and coordinating service delivery across regions and time zones; We solve complex problems collectively, participate in pairing sessions and one-on-ones, and stay in communication across time zones through deliberate asynchronous work habits
ОфисUK, London
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