Location: New York, New York; San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes.
This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value.
You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams.
The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Partner with customers on forward deployed engagements from discovery through launch, translating business goals and workflow requirements into scalable clear solution design and Notion solutions that drive durable adoption.
- Design scalable Notion architectures that translate customer workflows, permission and governance needs, integrations and AI use cases into optimal workspaces that are easy to adopt, manage and scale.
- Design and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities and adjacent AI tools, partnering with Forward Deployed Engineering when advanced technical depth is needed for migrations, API constraints, security architecture or frontier implementation.
- Help customers navigate change by designing adoption plans, enablement materials and launch approaches that drive sustained usage and measurable business value.
- Identify repeatable patterns across customer engagements and convert them into packaged solutions, templates, reference architectures, run books, enablement assets and product feedback.
- Serve as a trusted advisor to customers, simplifying complex technical requirements, making practical tradeoff recommendations and helping stakeholders align around a clear implementation path.
- Partner cross-functionally with GTM, Product, Engineering, PMM, Services leadership and the partner ecosystem to scale what works beyond individual customer engagements.
- Create clear implementation plans, handoff materials and success measures that align customers and internal teams on the path to value.
SKILLS YOU'LL NEED TO BRING:
- 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role.
- Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria.
- Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions.
- Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows.
- Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows and implementation tradeoffs. You do not need to write production code but you should be able to reason through technical constraints and troubleshoot effectively.
- Strong experience delivering implementations that drive adoption, change management and long-term customer value.
- Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness.
- Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences.
- Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward.
- Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments.
NICE TO HAVES:
- Experience designing or deploying Agents, automations or AI-powered workflows with Customers.
- Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows.
- Experience developing discovery methodologies, reusable delivery assets, internal tooling, packaged services or reference architectures from the ground up.
- Experience partnering with Product and Engineering teams to turn field learnings into roadmap signal, reusable architecture patterns or scalable product improvements.
- Previous experience in a fast-paced, high-growth technology environment.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $165,000 - $205,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
ГибридNew York, New York; San Francisco, California
Location: Mississauga
Workplace: hybrid
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.
PointClickCare is searching for a Principal Software Data Engineer who will contribute to all phases of the software development life cycle, and will play a crucial role in designing, developing, and maintaining large scale Data Platform and data pipelines based on microservices architecture, while also encouraging and optimizing the daily execution of technical excellence across an empowered team.
This is a hands-on leadership role, requiring the ability to enhance and implement batch and real-time data solutions already in progress, mentor other team members, and deliver both business and technical objectives through ambiguity and uncertainty.
This is an opportunity to shape the future of our data ecosystem. You’ll work with a passionate team and modern technologies to drive innovation that impacts the entire organization. The ideal candidate thrives as an individual contributor, while making a significant technical impact and elevating the team’s capabilities.
To succeed as a Principal Software Data Engineer at PointClickCare, you need to be collaborative, adventurous and passionate. Collaborative means that you’re enthusiastic about jumping in to help achieve the team’s top priorities, no self-promoting politicians allowed. Adventurous means that you’re not afraid to dive into uncharted technical territory and get your own hands dirty, while supporting and driving delivery of complex features through a dedicated Scrum team. Passionate means that you’re eager to learn and share knowledge that drives the team forward, and excited to be part of a movement that is positively impacting the lives of seniors and their caregivers all over North America.
What your day-to-day will look like:
-Lead and guide the design and implementation of scalable distributed systems based on Java microservices
-Engineer and optimize data pipelines using solutions like Apache Hudi, Apache Trino, Azure ADLS
-Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset
-Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies
-Drive adoption of best practices in data governance, observability, and performance tuning for data workloads
-Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment
-Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response
-Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work
What qualifications we’re looking for:
-Principal Software Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on data pipelines (batch and streaming)
-Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor
-Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines
-Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads
-Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)
-Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools
-Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments
-Proven experience with Lakehouse architectures and related technologies, including Apache Hudi, Azure ADLS Gen2, HDFS, and other big data technologies (Trino, Databricks, Spark)
-Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and organization.
#LI-AJ1
#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 CAD base salary range for this position is $142,700-178,400+ bonus + equity + benefits. 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 CAD 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: Oakland, California, United States
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
We're hiring a Product Manager to lead the dbt v2 roadmap — the future of dbt Labs' intellectual property and a critical driver of product-led growth. You will own net-new functionality in Fusion that identifies and monetizes local deployments of dbt, shipping net new features, many of which also land in dbt Core, as well as proprietary ELv2 plugins that integrate seamlessly with the dbt platform.
This role is co-located with our dbt v2 engineering team in the US to accelerate execution, strengthen prioritization, and ensure tight alignment across product, engineering, and platform teams. You'll bridge open source product strategy with technical delivery and business impact, translating strategic investments into shipped features that drive the Fusion PLG motion.
In this role, you will
Own and deliver the dbt v2 roadmap, shipping net new functionality to dbt v2 like SQL comprehension, compute, governance, and SAO
Define requirements for Fusion features that integrate seamlessly with the dbt platform and unlock enterprise value
Keep the Fusion engineering team aligned, unblocked, and executing on a predictable cadence
Contribute hands-on to the dbt Core / Fusion codebases, including code reviews, documentation, and small feature implementations
Collaborate with OSS strategy leads, platform PM peers, and cross-functional stakeholders to deliver a unified roadmap
What success looks like
Shipping net-new features on a predictable quarterly cadence
Measurable contribution to Fusion PLG growth metrics, including identification and monetization of local dbt deployments
Hands-on contributions to dbt Core and Fusion code bases, including merged PRs and meaningful improvements to the open source codebase
Strong execution and alignment across the Fusion engineering team
You're a good fit if you have
2-4 years of product management experience in technical domains such as developer tooling, data platforms, or open source software
Strong grasp of system architectures, particularly for local deployments and how they scale to enterprise use cases
Understanding of how open source investments drive PLG growth and product strategy
Ability to bridge technical delivery with business impact, translating features into revenue and growth metrics
Experience working with engineering teams to define, prioritize, and ship complex technical features
Strong communication skills with empathy for open source contributors and enterprise users alike
Nice to have
Hands-on experience with dbt or similar transformation frameworks
Background in plugin architectures, extensibility systems, or platform ecosystems
Understanding of PLG motions and freemium-to-paid conversion strategies
Experience with SQL engines, query optimization, or compute systems
Prior experience as an engineer whose worked with modern development frameworks (examples: React, Typescript, Python, etc.)
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
$215,424
—
$269,280 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: United States
Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365.
To learn more, visit
www.mattermost.com
We are seeking a
Staff Full Stack Engineer
to set the technical direction for and scale Mattermost’s core web platform for teams operating in defense and critical infrastructure sectors. You’ll drive architecture and technical strategy across our Go backend and React/TypeScript web frontend — partnering across teams to ship features that hold up under strict security, compliance, and reliability requirements
.
Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you.
What You Will Do
Define and drive the technical architecture and roadmap for Mattermost’s core web platform across multiple engineering teams, spanning Go, React, TypeScript, PostgreSQL, and Redis
Set org-wide standards and best practices for AI-agentic engineering workflows — going beyond personal fluency with tools like Claude Code and Cursor to shape how the broader engineering org adopts them, while retaining accountability for correctness, security, and design decisions
Lead the internal tooling and testing infrastructure strategy that speeds up delivery for the broader engineering org, not just your immediate team
Own the testing strategy and quality bar across frontend and backend systems, and hold other engineers accountable to it through design reviews and mentorship
Drive architectural decisions for REST and WebSocket API design, grounded in deep networking fundamentals
Partner directly with security, compliance, and product leadership on strategic technical bets tied to our government and enterprise customer requirements
Mentor senior engineers and act as a technical multiplier across the org
Contribute to and help shape technical direction for Mattermost’s open-source codebase
What We Are Looking For
Required:
Senior full-stack development experience in Go and React (or a comparable stack), with a track record of owning complex systems end-to-end
Proven experience designing and owning distributed systems or high-availability service architecture at scale
Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals
Relational database experience including PostgreSQL, schema design, and query optimization
Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself
Demonstrated ability to influence technical direction across multiple teams without relying on formal authority
Experience mentoring senior engineers and raising the technical bar for a broader team
Comfortable operating in regulated or high-compliance environments (e.g., enterprise security, government, or critical infrastructure requirements)
Nice to Have:
Prior experience operating as a staff, principal, or technical lead engineer at another company
Experience maintaining (not just contributing to) an open-source project
Program-level familiarity with compliance frameworks relevant to defense or government customers (e.g., FedRAMP, ITAR)
Experience helping scale engineering practices or standards across a growing organization
Background in defense, intelligence, or critical infrastructure products
Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents
How Success Is Measured
First 90 Days: Build cross-team credibility by shipping a meaningful full-stack feature on the core platform, while assessing the technical landscape and identifying the highest-leverage architectural or process improvements to pursue.
Why Mattermost
Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide
Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership
AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty
End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build
Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration
Compensation
Mattermost takes a market-based approach to pay. Actual compensation may vary based on location, skills, experience, qualifications, and market conditions.
Target Salary Range: $172,724 – $227,135
U.S. Eligibility & Compliance
This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information visit
Security Clearances — United States Department of State
Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the
Bureau of Industry and Security
and the
Directorate of Defense Trade Controls
.
Mattermost is an EEO Employer, we are a remote-first, open-source company.
We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time.
Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics.
If you require accommodations during the interview process, please let us know—we’re happy to assist.
Location: Toronto, Ontario, Canada
Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365.
To learn more, visit
www.mattermost.com
We are seeking a
Staff Full Stack Engineer
to set the technical direction for and scale Mattermost’s core web platform for teams operating in defense and critical infrastructure sectors. You’ll drive architecture and technical strategy across our Go backend and React/TypeScript web frontend — partnering across teams to ship features that hold up under strict security, compliance, and reliability requirements
.
Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you.
What You Will Do
Define and drive the technical architecture and roadmap for Mattermost’s core web platform across multiple engineering teams, spanning Go, React, TypeScript, PostgreSQL, and Redis
Set org-wide standards and best practices for AI-agentic engineering workflows — going beyond personal fluency with tools like Claude Code and Cursor to shape how the broader engineering org adopts them, while retaining accountability for correctness, security, and design decisions
Lead the internal tooling and testing infrastructure strategy that speeds up delivery for the broader engineering org, not just your immediate team
Own the testing strategy and quality bar across frontend and backend systems, and hold other engineers accountable to it through design reviews and mentorship
Drive architectural decisions for REST and WebSocket API design, grounded in deep networking fundamentals
Partner directly with security, compliance, and product leadership on strategic technical bets tied to our government and enterprise customer requirements
Mentor senior engineers and act as a technical multiplier across the org
Contribute to and help shape technical direction for Mattermost’s open-source codebase
What We Are Looking For
Required:
Senior full-stack development experience in Go and React (or a comparable stack), with a track record of owning complex systems end-to-end
Proven experience designing and owning distributed systems or high-availability service architecture at scale
Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals
Relational database experience including PostgreSQL, schema design, and query optimization
Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself
Demonstrated ability to influence technical direction across multiple teams without relying on formal authority
Experience mentoring senior engineers and raising the technical bar for a broader team
Comfortable operating in regulated or high-compliance environments (e.g., enterprise security, government, or critical infrastructure requirements)
Nice to Have:
Prior experience operating as a staff, principal, or technical lead engineer at another company
Experience maintaining (not just contributing to) an open-source project
Program-level familiarity with compliance frameworks relevant to defense or government customers (e.g., FedRAMP, ITAR)
Experience helping scale engineering practices or standards across a growing organization
Background in defense, intelligence, or critical infrastructure products
Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents
How Success Is Measured
First 90 Days: Build cross-team credibility by shipping a meaningful full-stack feature on the core platform, while assessing the technical landscape and identifying the highest-leverage architectural or process improvements to pursue.
Why Mattermost
Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide
Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership
AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty
End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build
Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration
Compensation
Mattermost takes a market-based approach to pay. Actual compensation may vary based on location, skills, experience, qualifications, and market conditions.
Target Salary Range: $195,001 – $238,965
Canada Eligibility & Compliance
Candidates must be legally authorized to work in Canada without current or future sponsorship.
This role may require obtaining and maintaining a government security clearance or equivalent designation (such as Reliability Status or Secret clearance under Canada's Controlled Goods Program), depending on customer engagement. Candidates must meet eligibility requirements to be considered.
Given Mattermost's work with U.S. defense and government customers, some positions may also require compliance with U.S. export control laws, including EAR and ITAR, which can apply to non-U.S. based employees working on covered technical data. For more information, visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls.
Mattermost is an EEO Employer, we are a remote-first, open-source company.
We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time.
Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics.
If you require accommodations during the interview process, please let us know—we’re happy to assist.
Location: Dublin, Ireland; Leeds, England, United Kingdom; London, England, United Kingdom
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
About the Team
Overview
Every time a fan places a bet, earns a reward, or checks out on Fanatics — Fanatics Core made that possible. We build the shared foundations — identity, payments, loyalty, wallet, data, and platform — that power sports betting, ecommerce, collectibles, and beyond. We supercharge the business by providing products and capabilities so that teams can focus on what matters most: building delightful experiences for the fans.
As a Staff Software Engineer, you'll join the Promotions Platform team within FBG. Your duties will encompass the design, implementation, testing, and maintenance of software that enables customers to engage with FBG's promotional systems. Additionally, you will contribute to backend features that allow customers to earn rewards, which can be used throughout the entire Fanatics ecosystem. We are currently focused on developing the next generation of promotional tools.
Responsibilities
Lead a team or teams that develops, tests, documents, and deploys high quality software into production, leading the delivery of solutions that are extensible and scalable
Clarify requirements and assists with coding/story estimates
Participate in the on-call rotation when needed to troubleshoot software issues
Quickly identify when to troubleshoot or escalate when tasks or projects hit roadblocks, find a path forward in difficult situations
Mitigate immediate risk, identify and resolve root causes
Remove bottlenecks and make technical and design approach trade-off decisions short term vs long-term
Contribute to team planning and design discussions, building more expertise around design approaches, driving best practices and improving the speed of delivery
Lead code reviews to provide constructive direction
Proactively simplifies code and resolves team architecture deficiencies
Impact software architecture, dependencies, performance, and business value
Improve testability, operational excellence metrics, and team documentation
Advise technology leaders, our product team, and other internal stakeholders to make technology decisions that grow and improve our products
Mentor and coach other engineers and actively work to reduce onboarding burden of future team members
Influence your team's adherence to the principles, guidelines, and best practices of our engineering strategy
Develop a solid understanding of our industry, product, feature set and roadmap
Remain current on the latest technologies and trends in software development
Must be open to occasional travel to Fanatics Betting & Gaming offices and other locations for conferences, events, meetings, and team-building activities
Required Qualifications
7+ years of experience building highly scalable and fault tolerant systems
Proven technical leadership at staff level: you’ve led the design and delivery of complex systems across multiple teams, set technical direction, and mentored engineers, whether as a tech lead or through other formal or informal leadership.
You understand a broad range of design approaches
You are able to triage and debug system-wide production issues
Demonstrated experience mentoring other engineers
Able to effectively communicate complex technical subjects to a variety of audiences (engineers, technical leaders, marketing and operations teams, non-technical functional leaders)
Familiar with Agile software product delivery and SCRUM methodology
Excellent analytical and problem solving skills
You have an agile mindset; able to embrace new initiatives in a fast-paced environment
Thrives in an entrepreneurial, hyper-growth environment where priorities evolve regularly and decisions are made quickly
Team-first mentality, with a willingness to do what it takes to get the job done and a desire to strive for better
Able to effectively work cross-functionally within an enterprise environment
Preferred Qualifications
Experience working in a start-up environment
1+ years of experience leading a development team
Experience with Java/Spring Boot
Experience with React
Experience with Apache Kafka
Experience with AWS
Experience with PostgreSQL
If you possess some of these qualifications but not all of them, we still encourage you to apply!
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: Los Angeles, USA; Mercer Island, USA
Technical Product Managers combine deep technical knowledge and experience with product leadership capabilities which are needed to enable Riot Games to deliver key products and experiences to make it better to be a player. You will develop and execute strategies on Riot's products and technologies while leading diverse teams to deliver creative solutions to our most difficult technical and experiential challenges.
As a
Senior Technical Product Manager
for Organized Play on Publishing Platform, you will combine your deep technical experience with strong product leadership to solve complex problems for your customers. You will manage high-complexity, cross-functional products that power real-time data streaming, tournament ecosystem orchestration, and live broadcast tooling across esports global events to deliver exceptional experiences to millions of players worldwide. You will be accountable for the product lifecycle from start to finish, translating deep customer empathy and technical insight into a clear vision, strategy, and roadmap. You will report to the Director of Technical Product Management on the team.
Responsibilities:
Be accountable for Global Live Operations - safeguarding the 99.9% reliability SLA for core infrastructure during mission-critical windows including Worlds, VCT Champs China, and EWC.
Direct real-time features including LiveStats, Summoner's Rift Broadcast Banners, and Esports Observer Replica systems.
Drive the product definition and rollout of our Esports Data Platform, including integration with external partner teams like GRID for the sake of data commercialization.
Lead highly technical, multi-team dependencies including the TFT Unreal engine integration, tournament bracket platform services, authentication scaling for third-party tournaments, Esports Game management tooling to improve transition time in between games broadcast and automation of tournaments for our games
Develop a deep understanding of customer, partner, and esports ecosystem needs, using research and data to translate pain points and emerging trends into clear product requirements and long-term product strategy.
Own the product vision, strategy, roadmap, and success metrics for esports and community products, including OKRs, build-vs.-buy assessments, milestones, and prioritization of ambiguous technical opportunities.
Lead cross-functional product execution from conception through delivery and iteration, partnering closely with Engineering and Technical Leads on architecture, scalability, implementation trade-offs, and key stakeholder relationships.
Required Qualifications:
5+ years of relevant experience in fields such as Technical Product Management, Software/Game Development, or Engineering.
7+ years of dedicated product management experience.
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
Strong technical background and problem-solving skills in esports technologies and broadcast operations, and strong depth experience with data management in platform solutions.
Excellent teamwork, communication, and stakeholder management skills, with the ability to lead through influence.
Experience leading teams through the full product development lifecycle (planning, execution, delivery, and post-release support).
Desired Qualifications:
Experience working in med-large size organizations where collaboration across organizational boundaries is critical to success
Experience working on live service games or other software operating at a global scale.
Passion for esports, community play events, and Riot’s games
Familiarity with the game platform lifecycle, including art toolchains, game engines, and live operations workflows.
Experience taking a nebulous technology concept and turning it into a shipped product with clear KPIs.
A passion for games and a deep understanding of the player experience.
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About the Product team
The Product team listens to our customers’ needs and translates those insights into a clear product vision. The team works closely with design, engineering, and analytics to build scalable financial products that empower people to manage their money with confidence. We rely on empathy, curiosity, and business sense to prioritize features and improve experiences. Our role is to lead with clarity, support cross-functional execution, and champion the user in every decision.
About the role
The Purchasing Experience product team owns the ‘face of Affirm’, the core checkout experience for millions of Affirm users.
As a Senior Product Manager on the Terms and Payments team, you will be responsible for designing both the term and payment selection experiences which drive user clarity and confidence at checkout.
An ideal candidate is one who has worked extensively on consumer experiences at key moments in the product flow.
This is a highly cross-functional role that sits at the intersection of Product, Design, Engineering, Research, and Analytics.
What you’ll do
• Own the core checkout experience where consumers select and review their terms and payments — with a focus on driving conversion, clarity, and confidence at the moment of commitment.
• Design and run experiments that improve how consumers understand and choose their terms
• Define and ship new UX patterns that change the way checkout looks and feels — using research insights, quantitative signals, and close collaboration with design and analytics to move from discovery to launch.
• Partner with Legal and Compliance to understand regulatory requirements and how they affect the user experience.
• Work alongside international product partners to expand the terms experience into new markets, adapting for local expectations while keeping the design system coherent.
• Develop a deep understanding of user behavior and share those insights broadly — helping the team and stakeholders stay grounded in how consumers actually experience checkout.
• Drive an ambitious roadmap — identify the highest-leverage opportunities, align cross-functional partners, and own execution from concept through launch and iteration.
What we look for
• 5+ years of Product Management experience
• A strong sense of taste for user experience — you have opinions about what makes an interaction feel clear, considered, and delightful.
• Analytical rigor — you're comfortable digging into data, interpreting experiment results, and turning qualitative and quantitative inputs into insights and product opportunities.
• World-class execution with high agency — you ship reliably, identify what matters without waiting to be told, and hold yourself to a high bar on quality and follow-through.
• The ability to work closely with cross-functional teams across product, design, engineering, analytics, and research — building trust and driving alignment without relying on authority.
• Strong communication skills — you can deliver results, drive narratives, and explain tradeoffs in a way that brings stakeholders along and creates clarity.
• Coachability — you seek out feedback, absorb it without defensiveness, and visibly grow from it.
• Bonus points if you've worked on checkout, e-commerce, or fintech products in the past.
Pay Grade - N
Equity Grade - 6
Employees new to Affirm typically come in at the start of the pay range
. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
CAN base pay range per year: $153,000 - $213,000
This posting is for an existing vacancy.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: New York, NY
Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow.
That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve.
Flex is expanding to offer a consumer bill management platform: a hub where users manage both recurring and one-off bills, align payments with their cash flow, and build credit along the way. As we move from a pilot to broader GTM, we're looking for someone who can operate as both the builder of our data foundation and the analyst who turns that data into decisions.
This role will work closely with both business leadership and the core data team to focus on modeling data, digging into consumer behavior, pricing and credit dynamics, and setting the standards the rest of the team builds on.
What you'll do
Build and maintain the core data models (dbt/Snowflake) that power reporting, experimentation, and ML/credit risk use cases
Analyze consumer bill payment behavior timing, splitting, delinquency, credit-building outcomes to identify what's working in the pilot and what needs to change
Partner closely with Product and Engineering to instrument new features (e.g. bill splitting, smart scheduling, credit-building) so we can measure adoption and impact from day one
Design and analyze experiments that test pricing, credit terms, and product flows, establishing causal links between changes and outcomes
Create dashboards and self-serve tools that let Product, Risk, and GTM teams track Control Center's pilot-to-scale metrics without needing to come back to Analytics for every question
Champion data quality, consistent terminology, and documentation as data footprint grows from pilot to full launch
Set technical direction for how Control Center's data models and pipelines scale as new billers, partners, and product surfaces come online; mentor other analysts/engineers and raise the technical bar across the team
Key qualifications
7+ years of experience spanning analytics engineering and data science/analyst work
Strong SQL and hands-on experience with dbt and Snowflake (or equivalent modern data stack)
Experience with BI tools (Sigma, Tableau, Mode, Looker, etc.) and building dashboards that non-technical stakeholders use
Track record designing and analyzing experiments (A/B tests or quasi-experimental methods) to drive product decisions
Being confident partnering with technical and non technical stakeholders
Strong ownership mindset
Comfort with credit, risk, or fintech data, as well as curiosity about how consumers manage their finances, is a plus
Compensation
Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location.
Tier 1 (NYC/Bay Area)
$184,000
—
$225,000 USD
Life at Flex
Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace.
Offices
Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.
Benefits
View our benefits and more at
getflex.com/careers
.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About the Product team
The Product team listens to our customers’ needs and translates those insights into a clear product vision. The team works closely with design, engineering, and analytics to build scalable financial products that empower people to manage their money with confidence. We rely on empathy, curiosity, and business sense to prioritize features and improve experiences. Our role is to lead with clarity, support cross-functional execution, and champion the user in every decision.
About the role
The Purchasing Experience product team owns the ‘face of Affirm’, the core checkout experience for millions of Affirm users.
As a Senior Product Manager on the Terms and Payments team, you will be responsible for designing both the term and payment selection experiences which drive user clarity and confidence at checkout.
An ideal candidate is one who has worked extensively on consumer experiences at key moments in the product flow.
This is a highly cross-functional role that sits at the intersection of Product, Design, Engineering, Research, and Analytics.
What you’ll do
• Own the core checkout experience where consumers select and review their terms and payments — with a focus on driving conversion, clarity, and confidence at the moment of commitment.
• Design and run experiments that improve how consumers understand and choose their terms
• Define and ship new UX patterns that change the way checkout looks and feels — using research insights, quantitative signals, and close collaboration with design and analytics to move from discovery to launch.
• Partner with Legal and Compliance to understand regulatory requirements and how they affect the user experience.
• Work alongside international product partners to expand the terms experience into new markets, adapting for local expectations while keeping the design system coherent.
• Develop a deep understanding of user behavior and share those insights broadly — helping the team and stakeholders stay grounded in how consumers actually experience checkout.
• Drive an ambitious roadmap — identify the highest-leverage opportunities, align cross-functional partners, and own execution from concept through launch and iteration.
What we look for
• 5+ years of Product Management experience
• A strong sense of taste for user experience — you have opinions about what makes an interaction feel clear, considered, and delightful.
• Analytical rigor — you're comfortable digging into data, interpreting experiment results, and turning qualitative and quantitative inputs into insights and product opportunities.
• World-class execution with high agency — you ship reliably, identify what matters without waiting to be told, and hold yourself to a high bar on quality and follow-through.
• The ability to work closely with cross-functional teams across product, design, engineering, analytics, and research — building trust and driving alignment without relying on authority.
• Strong communication skills — you can deliver results, drive narratives, and explain tradeoffs in a way that brings stakeholders along and creates clarity.
• Coachability — you seek out feedback, absorb it without defensiveness, and visibly grow from it.
• Bonus points if you've worked on checkout, e-commerce, or fintech products in the past.
Pay Grade - N
Equity Grade - 9
Employees new to Affirm typically come in at the start of the pay range.
Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $255,000
USA base pay range (all other U.S. states) per year: $173,000 - $233,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Limassol, Cyprus
Workplace: remote
Our team is developing a payment gateway for accepting funds from users on behalf of merchants, as well as sending funds from merchants to users. The system involves storing user payment data and is subject to PCI DSS compliance. It contains multiple integrations with payment systems, providers, and other gateways and processors, including 3DS.
We're looking for a
Payments Data Analyst
to join our Product team and transform payment and product data into actionable insights that improve merchant success, platform performance, and business decisions.
As a Payments Data Analyst, you will be a strategic partner to the Product, Merchant Solutions, Processor Integrations, and ML teams, helping drive data-informed decisions across our payment platform.
You will analyze payment performance, identify trends and optimization opportunities, evaluate the impact of product initiatives, and provide recommendations that improve approval rates, payment efficiency, and merchant experience.
Job Responsibilities:
Monitor, analyze, and optimize payment performance across merchants, processors, payment methods, and markets.
Analyze approval rates, decline patterns, payment routing performance, retry and cascading effectiveness, 3DS performance, and transaction success.
Perform deep-dive analyses to identify trends, anomalies, and optimization opportunities across processors, card schemes, BINs, countries, merchants, and payment methods.
Measure the impact of new product features, processor integrations, routing changes, payment optimization initiatives, and A/B experiments.
Build and maintain dashboards and reports that provide actionable insights for Product, Merchant Solutions, Executive, and other business teams.
Define, monitor, and improve key product and payment KPIs.
Investigate merchant and processor performance to identify root causes and recommend improvements.
Collaborate with Product Managers to support product discovery, feature prioritization, and success measurement.
Work closely with Solution Engineers, Integration Analysts, and the ML Specialist to improve payment performance and operational efficiency.
Support continuous monitoring of payment performance by identifying anomalies, emerging trends, and opportunities for optimization.
Present analytical findings and recommendations in a clear, business-oriented manner to technical and non-technical stakeholders.
You’ll thrive here if you have
4+ years of experience as a Data Analyst, Product Analyst, Payments Analyst, or in a similar analytical role.
Advanced SQL skills, including complex queries and window functions.
Experience with BI tools such as Metabase, Tableau, Power BI, Looker, or similar.
Experience with Python (Pandas, Jupyter Notebook) for data analysis.
Strong analytical thinking and problem-solving skills.
Experience working with large datasets.
Ability to translate complex data into clear business recommendations.
Nice to Have
Experience in FinTech, Payments, SaaS, or E-commerce.
Understanding of payment processing, payment orchestration, or PSP integrations.
Knowledge of payment routing, retries, cascading, and 3DS authentication.
Familiarity with payment KPIs such as approval rate, conversion rate, authorization rate, and decline analysis.
Understanding of fraud-related metrics, chargebacks, RDR, and risk signals.
Experience working with product analytics, experimentation, and feature adoption metrics.
Basic understanding of Machine Learning concepts.
Conditions
We know that great talent deserves great conditions, so here’s what you can expect when joining us:
Full remote work.
Competitive compensation with a service contract.
Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most.
Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage.
Career growth in a fast-scaling project with opportunities to influence technical decisions.
A culture of recognition: our peer reward program celebrates contributions from across the team.
This opportunity is also available for those who already live in Limassol, Cyprus.
EU-based employment contract and a 3-year Cyprus work visa.
Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
50% coverage of school and kindergarten fees for your children.
Fully covered sports benefits, and also access to in-house electric scooters and bike rentals.
A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
Benefits are provided in accordance with the company’s policies and eligibility criteria.
Recruitment process
HR interview (40 min);
Technical interview (1 hour);
Final interview (1 hour);
Recommendations check;
Job Offer.
Location: Russia
Workplace: hybrid
ABOUT YOU
We are looking for a Site Reliability Engineer who is pragmatic, product-minded, and equally comfortable writing code and running production systems to join our Infrastructure department's SRE team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to own the application-level infrastructure and reliability of a high-traffic commerce domain end to end - from deploy pipelines and Kubernetes manifests to SLOs, capacity planning, and production readiness.
Strong Kubernetes, observability, and software engineering skills are essential, along with experience in operating production services in a cloud environment (GCP/GKE or comparable) and partnering closely with product development teams. The ability to hold a dual perspective - understanding both how developers ship features and what infrastructure needs to stay reliable - and to bring the reliability lens into design decisions early will be key to your success in this role.
If you're passionate about making complex distributed systems boringly reliable and love building the commerce and monetization backbone that lets game developers around the world get paid, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Own the application-level infrastructure: Helm charts, Terraform configurations, Kubernetes deployments, runtime configuration, and service-level networking and integrations
Own the domain's observability: design and implement SLOs/SLIs, monitors, alerts, and dashboards for critical services on Datadog and OpenTelemetry-based tooling
Help to set up and evolve CI/CD pipelines for domain services (GitLab CI, GitHub Actions), including deploy and rollback automation
Perform capacity planning and performance tuning ahead of expected load - product launches, sales events, and regional rollouts - including load testing and performance regression investigation
Run Production Readiness Reviews for new services and major changes; define and enforce what "production-ready" means for the domain
Support domain incident response: assist with deep investigation of complex incidents, contribute to post-mortems, drive follow-up reliability improvements, and maintain runbooks
Build domain-specific automation that reduces operational toil: runbook automation, deploy helpers, recurring operational scripts
Maintain and drive a forward-looking reliability roadmap for the domain together with product engineering leads
Participate in product team planning, refinements, and architecture reviews, bringing the reliability perspective before design decisions become expensive to change
Co-author company-wide SLO/SLI, capacity, and operational standards together with the broader SRE team; contribute improvements directly to shared SRE-operated subsystems
Participate in the SRE duty rotation, supporting developers across the company
Qualifications & Skills
3+ years of proven SRE, DevOps, or platform engineering experience: on-call or incident response duty, SLO/monitoring ownership, deploy pipeline and infrastructure work for production services
Software development background: you have built and shipped backend services, not only operated them - comfortable reading application code during an investigation and writing production-quality automation in at least one language (e.g., Go, PHP)
Hands-on Kubernetes experience: Helm, manifests, deploy strategies, debugging application-level performance and networking issues (GKE or another managed Kubernetes)
Solid observability practice: building monitors, dashboards, and SLOs/SLIs on a modern platform (Datadog preferred; Prometheus/Grafana experience also relevant), familiarity with OpenTelemetry
Infrastructure as Code exposure (Terraform/Terragrunt) for collaboration with platform teams
GCP experience (IAM, networking, managed services)
Experience building and maintaining CI/CD pipelines (GitLab CI and/or GitHub Actions)
Programming/scripting proficiency sufficient to build automation and tooling (e.g., Python, Go, or Bash)
Practical experience with incident response, post-mortems, and driving reliability improvements from incidents
Strong collaboration and communication skills — this role works embedded with product development teams daily
Experience in payments, fintech, e-commerce, or gaming — high-traffic transactional systems
Nice to Have:
Kubernetes certifications
Google Cloud Platform certifications
HashiCorp certifications
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, dental, and vision plans, 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.
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 this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: North America, EU, UK
AI Systems Researcher / Research Engineer
London (Preferred) - Hybrid, or Remote in North America, EU, UK
About Brave
Brave is on a mission to protect the human right to privacy online. We’ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a
truly
independent index, private AI assistant, latest privacy and security features, and a private ad network (opt-in!) that directly rewards you for your attention. Already over 120 million people regularly use Brave for a faster, more private web. Millions more switch every month.
The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what’s true and what’s not. Brave is fighting back. Join us!
Summary
Join us at Brave as we redefine the future of online experiences with a range of cutting-edge, top-performing products. We’re seeking an experienced AI Systems and Performance Researcher/Engineer to shape and improve our performance evaluations and optimizations across desktop and mobile. If you’re passionate about innovation, privacy, and delivering impactful AI solutions, this is your opportunity to make a difference. We need you to help with a wide range of key products, ranging from our browser ML models, novel applications, on-device AI agents, performance evaluations, and collaborating closely with privacy and security researchers to protect the users from AI risks.
About you
An ideal candidate will have a mix of skills that include the following:
Demonstrates a high level of initiative and consistently delivers high-quality solutions
Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
Is excited by the potential of realizing high-value commercial outcomes and change the way that the advertising business operates
Want to be part of a high-growth startup company with global ambitions
Experience with software development practices (Python, C++, JavaScript and/or Rust)
Has a proven track record implementing data driven products and a broad understanding of the state of the art in systems and networks
Comfortable working in an open-source setting
Able to create and deploy mobile/desktop applications and systems
Has a passion for helping protect users’ privacy and security
A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience
Specific Skills
Background and/or previous work in AI systems research and performance evaluation.
Expertise in optimizing and evaluating ML models and/or privacy & security technologies for on-device performance.
Experience with modern Machine Learning (ML) frameworks (e.g., Pytorch, TensorFlow, MLX, ONNX Runtime, Core ML, TensorRT, etc.).
Skills That Will Set You Apart from the Competition
ML Systems (pipelines, performance evaluation, etc.)
Open source projects on mobile/desktop systems optimization
Experience with confidential computing and security/privacy protocols
Ph.D. in computer science from a top-tier school
A strong publication record in premier systems, performance, or ML
Work experience in industry is desirable
Working at Brave - What we offer
Ability to work at an exciting and well-funded international startup headquartered in San Francisco
Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
Competitive compensation and plenty of room for personal growth
Great international exposure and team atmosphere
We are looking to hire in London but would
consider
an exceptional candidate in the rest of Europe.
NO AGENCIES or RECRUITERS PLEASE - Unfortunately, we cannot work with third parties on these searches.
Location: Worldwide
We are looking for
QA Engineers - Fullstack(Mobile) Junior+
to join one of our teams —
Payments.
What makes you a great fit:
1–2 years of experience in QA
A proactive, persistent, get-it-done attitude — you enjoy chasing a problem across teams until it’s actually solved, not just reported
Experience working with programming languages Java/Python
Experience in mobile application testing (iOS/Android)
Understanding of client–server and microservice architectures
Knowledge of testing theory and test design techniques
Experience in defect localization and working with logs
Experience developing and maintaining test documentation, analyzing specifications, and the ability to decompose a feature into test cases
B1 or higher English level
for effective communication with an international team
Your bonus skills:
Hands-on experience in writing automated tests
Experience with AI tools for testing
Our ways of working:
Innovative Spirit:
A commitment to creativity and groundbreaking solutions
Honest Feedback:
valuing open, transparent communication
Supportive Team:
a strong, collaborative community
Celebrating Achievements:
recognizing our wins together
High-Tech Environment:
a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances
Team time zone:
The team works within the GMT+1 to GMT+5 time zone
Our benefits:
Relocation support
to one of our hubs — Georgia — with assistance for the employee and their family
Flexible work
from one of our offices or remote
Healthcare Coverage
Education Budget:
Language lessons, professional training and certifications
Wellness Budget:
Mental health and fitness activity reimbursement
Vacation policy:
Annual leave and paid sick leave as per applicable policies
juniorTeam time zone:; The team works within the GMT+1 to GMT+5 time zone; Relocation support
Location: Limassol, Cyprus; Tbilisi, Georgia
Workplace: hybrid
TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.
We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.
We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.
About the team
We develop and implement machine learning and AI solutions across a range of products: AI assistants, customer support chatbots, intelligent data processing, generative AI features, recommender systems, spam detection, search and other ML-powered modules.
Our goal is to build reliable ML and AI systems that solve real product problems — from experimentation and prototyping to production integration and continuous improvement.
Responsibilities
Designing and implementing ML and AI modules for various products, from experimentation and prototyping to production integration
Building solutions based on LLMs and other ML/NLP approaches for data processing, generation, search, assistants, bots, agents and automation
Choosing and evaluating appropriate approaches — including external AI providers, open-source or self-hosted models, as well as traditional ML/NLP methods
Contributing to the architecture of ML solutions, shaping technical approaches and engineering standards
Preparing and processing data, training models, running A/B tests, and analyzing results
Monitoring and improving model performance, interpreting model behavior and key metrics
Evaluating AI-system quality, analyzing failure cases and improving models, prompts, data and system architecture
Collaborating with product managers, engineers, and analysts to clarify requirements, integrate solutions, and evaluate their impact
Working with MLOps infrastructure: CI/CD, monitoring, logging, containerization
What makes you the perfect fit
3+ years of experience in ML engineering and building production-ready ML systems
Strong practical expertise in NLP, LLMs, AI assistants and related AI/ML areas
Experience with both modern LLM-based systems and traditional ML/NLP approaches such as classification, ranking, retrieval, semantic similarity and information extraction
Strong track record of delivering end-to-end ML solutions — from idea and data to production and support
Proficient Python skills and experience with production-grade development
Experience evaluating ML/AI solutions and understanding their quality, reliability, latency and cost trade-offs
Solid knowledge of A/B testing and result interpretation
Experience in architectural decision-making and a drive to improve engineering practices
Familiarity with tools like Docker, Kubernetes, CI/CD systems, monitoring (e.g. Prometheus, Grafana), and logging
Will be a plus
Product-oriented mindset and understanding of business metrics
Experience building real-time and high-load ML systems
Experience with open-source or self-hosted models
Familiarity with modern MLOps tools (e.g. MLflow, Airflow, Kubeflow)
Experience evaluating the UX of AI-driven interactions
What we offer you
Flexible working hours and a hybrid work format
Well-equipped offices for focused and collaborative work
A global, distributed team of 500+ professionals
Learning, mentorship, and long-term career growth
Relocation support and private health insurance
Performance-based bonuses
TradingView Premium access
Regular team events and company-wide meetups
Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!
TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.
Location: Warsaw, Poland
What is Box?
Box (NYSE: BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It's the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together — and at Box you will be on the front lines of this massive shift.
Why Box needs you:
As a Senior Software Engineer on the Desktop Applications team at Box, you'll be at the heart of building and evolving the products that millions of users rely on every day - Box Drive, Box Tools, and Box for Office on both Windows and macOS. You'll work across the full depth of the desktop stack, from virtual file systems and OS integrations to sync, networking, and UI, helping shape how enterprise content comes to life on the desktop. You'll collaborate closely with Product Managers and designers to deliver features that are fast, reliable, and secure - and you'll bring a growth mindset and a passion for leveraging AI tools to accelerate your impact.
What you'll do:
Design, develop, and ship high-quality features for Box's desktop applications (Box Drive, Box Tools, Box for Office) on Windows and macOS, ensuring they are performant, user-friendly, and secure
Work across the full desktop stack — including virtual file systems, data persistence, OS integrations, network and sync layers, and UI — to solve complex technical challenges at scale
Collaborate daily with Product Managers, QA engineers, and designers to translate requirements into robust, well-tested software
Lead and participate in design discussions, architecture reviews, and code reviews to uphold engineering quality and share knowledge across the team
Diagnose and resolve complex performance, reliability, and compatibility issues affecting millions of end users
Attend and engage in weekly stand-ups, team meetings, and manager 1:1s
Work collaboratively with other engineers, team members, and across teams
Play a role in developing and fostering Box culture in the Warsaw office and represent Box Poland internally and externally
Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise
Who you are:
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
5+ years of professional desktop software development experience
Proficient in Python, C++, C# and/or Swift, with a strong command of software design and architecture principles.
Demonstrated experience building and shipping desktop applications on Windows and/or macOS
Comfortable working across the full desktop stack: virtual file systems, OS integrations, networking, sync, and UI
Experienced with unit testing and functional testing practices in an agile team environment
Passionate about building software that is user-friendly, performant, and secure
Strong problem-solving skills with the ability to diagnose and resolve complex technical issues
Able to assess, communicate, and complete project milestones with your manager and team members in a time-sensitive manner
Must speak English proficiently
Experience with Windows systems-level programming (Win32 APIs, multi-threading, IPC, COM)
Cross-platform development experience across both macOS and Windows
Prior experience using AI coding tools (e.g. Cursor, Claude) as part of your daily workflow
Percentage of Time Spent:
15% design and architecture
60% coding, code reviews, and testing
15% bug fixes
5% documentation
5% meetings
Methodology:
Agile management — Scrum
Issue tracking — Jira
Knowledge repository — Box / Confluence / GitHub Enterprise
Code reviews — GitHub Enterprise
Version control — GIT
CI/CD — Jenkins
Communication — Slack / Zoom
BENEFITS
Check out the
overview of Life at Box
which include general perks and benefits.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.
If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice
.
For more details on how Box Poland protects your information, please see our
Supplemental Personnel and Candidate Privacy Notice
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
#LI-GW1
Location: Hong Kong, Singapore
Programmes offered:
Final-year internship, penultimate-year internship, some permanent opportunities
Location:
Hong Kong, Singapore
Programme duration:
3–6 months, or full-time graduate, starting in 2027
Who qualifies:
Penultimate or final-year students completing a bachelor’s or master’s degree
Qube Research & Technologies (QRT)
is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies.
Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems.
Our internships are designed to give students meaningful experience of that work.
You’ll
join a team, contribute to real
projects
and learn from engineers,
researchers
and traders working on live problems. The environment is technical,
collaborative
and demanding, with plenty of scope to ask questions, test
ideas
and take ownership.
Strong performance
during the internship may lead to consideration for a full-time graduate role.
Your future role at QRT
Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit.
QRT’s FPGA team builds ultra-low-latency hardware for our trading systems. By implementing custom logic directly on FPGA devices, the team can process market data and execute orders with tight control over latency, throughput and system behaviour.
The work sits at the boundary between hardware and software. We use SystemVerilog, C++ and Python to design, verify and integrate FPGA systems into our wider trading infrastructure. The problems are technically demanding: small design decisions can have measurable consequences, and performance needs to come with reliability.
As an intern or graduate in the FPGA team, you will:
Build production FPGA systems
– Contribute to the design, development and optimisation of FPGA-based platforms used in live trading.
Work across hardware and software
– Use SystemVerilog, C++ and Python to build, test and refine high-performance, low-latency systems.
Develop and verify new functionality
– Implement FPGA features that improve how our systems process market data and execute orders, and build the tests needed to verify them.
Integrate systems
– Work with hardware and software engineers to connect FPGA components with QRT’s broader trading infrastructure.
Analyse performance
– Debug and profile designs, investigating latency, resource utilisation and other constraints to understand where improvements can be made.
Work with modern FPGA technology
– Gain hands-on experience with FPGA hardware, development tools and verification workflows used in low-latency trading.
Explore new approaches
– Contribute to research and development aimed at improving the performance and capabilities of our FPGA systems.
Your present skillset
Interest in technology:
You enjoy understanding how systems work and have explored that interest through software or hardware projects, whether academic, personal or hobby-based. Formal Computer Science training is not essential.
HDL experience:
Experience or coursework using an HDL such as SystemVerilog, Verilog or VHDL.
Programming:
Experience with C++ and/or Python.
Technical foundations:
An understanding of digital logic design, computer architecture and high-speed interfaces.
FPGA tools:
Familiarity with FPGA development toolchains such as Xilinx Vivado or Intel Quartus is useful, but not essential.
Problem solving:
You can reason through technical problems methodically, troubleshoot designs and think about trade-offs between performance, resource utilisation and power efficiency.
Mindset:
Curious, proactive and comfortable asking questions. You look for opportunities to understand systems more deeply and improve how they perform.
Approach:
Self-motivated, thoughtful and comfortable taking ownership of a problem.
Interviewing
Application
– Submit your application online. We review applications on a rolling basis, so applying early is recommended.
Technical Assessment
– Selected candi
dat
es will
complete a technical interview with the relevant team
.
Interviews
– Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you reason through engineering problems and how you work with others.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
India - Remote
ГибридMississauga
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United States; We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications; We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics
Toronto, Ontario, Canada; We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications; We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics
Dublin, Ireland; Leeds, England, United Kingdom; London, England, United Kingdom
seniorLos Angeles, USA; Mercer Island, USA
УдалённоseniorRemote Canada
seniorNew York, NY; For candidates outside of these areas, you may be eligible for our relocation assistance program
УдалённоseniorRemote US
УдалённоLimassol, Cyprus
ГибридRussia
North America, EU, UK
ГибридseniorLimassol, Cyprus; Tbilisi, Georgia; Relocation support and private health insurance
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