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
As a Staff Product Manager on Affirm’s Credit & Pricing team, you’ll shape how consumers discover, understand, and use available credit. You’ll own the strategy for credit experiences spanning shopping, repayment, and marketing, turning complex credit capabilities into intuitive products that build trust and drive activation, conversion, and repeat engagement.
What You'll Do
Set the product direction.
Define a cohesive vision for consumer credit experiences, identify the most valuable problems to solve, and translate your strategy into priorities across multiple teams.
Build experiences that make credit understandable.
Help consumers explore potential financing options before checkout, discover where they have purchasing power, and understand when credit becomes available again after repayment.
Create more relevant consumer journeys.
Develop personalized experiences for new and returning consumers, using research and experimentation to determine what information, guidance, and next steps best meet their needs.
Connect platform capabilities to consumer outcomes.
Own merchant prequalification and purchasing power experiences, partnering with core purchasing power and credit decisioning teams to translate underlying capabilities into clear, consistent experiences.
Lead consequential product decisions.
Bring Engineering, Design, Analytics, Credit, Marketing, Commercial, and Legal partners together to resolve tradeoffs across consumer needs, growth, risk, and partner commitments. Influence senior leaders through clear recommendations and sound judgment.
Own measurable results.
Define success, lead discovery and experimentation, and use funnel analysis and consumer feedback to improve activation, purchase conversion, repeat engagement, and comprehension while supporting responsible access to credit.
What We Look For
A record of building impactful consumer products.
7+ years of product management experience, with demonstrated success taking products from discovery through launch and scaling adoption in fintech, e-commerce, marketplaces, or similarly complex environments.
Leadership across teams.
Experience independently setting direction for a substantial product area, influencing senior stakeholders, and aligning multiple teams around priorities and measurable outcomes.
Strong consumer product judgment.
An ability to translate complex systems into intuitive experiences, with a high bar for interaction design, clear communication, and consumer trust.
Strategic and technical depth.
You connect long-term opportunities to practical product and platform decisions, and work effectively with engineers on capabilities that serve multiple experiences.
Analytical and experimental rigor.
You combine customer research, behavioral data, and well-designed experiments to prioritize opportunities, evaluate tradeoffs, and decide what to scale, change, or stop.
Ownership in ambiguity.
You bring structure to open-ended problems, make sound decisions with incomplete information, and communicate the rationale, risks, and support needed to move forward.
Relevant domain curiosity.
Experience with credit, lending, personalization, or AI-powered consumer experiences is a plus. You can learn complex domains quickly and distinguish useful innovation from technology without a clear customer need.
Pay Grade - P
Equity Grade - 13
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: $230,000 - $290,000
USA base pay range (all other U.S. states) per year: $204,000 - $264,000
#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: Remote
Workplace: Remote
Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way.
ROLE SUMMARY
Gravie is seeking a hands-on Staff Platform Engineer to do three things at once: build the golden roads and paved paths our engineering teams build on, define the north star architecture the organization moves toward, and design and deliver our AI-enabled capabilities. This is the hub role for technical direction at Gravie: long-term architectural direction and the standards that carry it converge here and radiate outward across teams.
The ideal candidate combines deep distributed systems and AWS experience with real production generative AI experience, and is equally credible building a paved path teams voluntarily adopt and setting a target-state architecture the whole organization will inherit. They have established standards, reference implementations, and paved roads that engineers actually use, not just architecture documents. They will partner across Engineering, Product, Data, Security, and Infrastructure, and will work most closely with our Platform Engineering team, which is the primary vehicle for making change stick across the organization.
At Gravie, engineers work closely with Product and own outcomes end to end, and we practice agentic development to increase the scope and leverage of that ownership: engineers use AI agents to help develop specs and plans, then to execute substantial multi-step engineering work, while setting guardrails and acceptance criteria and owning the quality of everything that ships. As agents take on more of the execution, the bar on problem framing, architectural judgment, system thinking, and risk identification gets higher, not lower.
This is a deliberately split role: roughly 40% golden roads and paved paths (hands-on, reference implementations, shared libraries, service templates, scaffolding, pipelines - a path isn't paved until a team other than yours has shipped on it), 30% north star architecture (published decisions that get adopted and enforced by tooling, not just written down), and 30% AI solutions (agent systems, retrieval and context design, evaluation, and guardrails). The mix shifts by quarter. Being the hub does not mean being the bottleneck - a good year looks like teams making more decisions on their own because direction and the paved path are clear enough to follow without asking. The role is planned and reviewed on this split, not funded out of leftover capacity; part of the job is saying out loud when the split is breaking toward a support desk.
KEY RESPONSIBILITIES
- Build the paved paths teams build on, including reference implementations, shared libraries, service templates, scaffolding, and pipeline templates, so the recommended way is also the easiest way.
- Treat the paved road as a product with real users: measure adoption and time to first success, and fix the parts people route around.
- Do the first real implementation yourself, on a real workload with a real team, not in a demo repository.
- Build the distributed systems patterns the paths encode: backend services, event-driven workers, job pipelines, APIs, and relational data models.
- Partner with the Platform Engineering team as the primary delivery vehicle - build paved paths with them, plan into their roadmap, and hand off sustaining ownership of what becomes shared infrastructure.
- Own migration and adoption, including moving existing services onto the path and retiring what it replaces.
- Stay in code review across teams and close to production incidents as primary evidence of where the path is failing.
- Define and publish the target-state architecture, with clear owners and decision dates, and keep it current as the business changes.
- Own the AWS foundations product and AI workloads depend on: multi-account structure and identity boundaries, network and data isolation, compute and serverless runtimes, managed data services, and tagging and cost governance.
- Drive standards adoption to completion - from documents into pipelines, with adoption measured across repositories and teams.
- Lead buy, build, and reuse decisions, evaluating models, frameworks, and vendors on accuracy, latency, reliability, privacy, security, and cost evidence.
- Reduce surface area as deliberately as you add it - consolidate overlapping tools and standards and own the sunset path for what gets replaced.
- Design and build production-grade AI agent systems, including multi-agent workflows, orchestration layers, and supporting services.
- Design retrieval, context, and memory systems that ground AI outputs, including how sensitive data is scoped, redacted, and audited.
- Develop AI-powered decision-support systems meeting the accuracy, traceability, and explainability requirements of healthcare and other regulated environments.
- Build product-quality user experiences using React and TypeScript where AI capability has to become understandable and actionable.
- Establish patterns for AI quality assurance - automated evaluations, regression testing, groundedness checks, and compliance guardrails - so those requirements are met by default.
- Establish one standard way to build, run, evaluate, and operate AI systems.
- Act as the connective point across teams: surface duplicated effort, pick up decisions with no owner, and align teams heading toward the same problem.
- Drive cross-team communication - writing, demos, and working sessions - so direction and tradeoffs are understood by teams not in the room.
- Build alignment where incentives differ across teams, and surface disagreement rather than resolving it quietly.
- Contribute to roadmap and capacity planning so paved path, foundational, and AI work is sequenced alongside product commitments.
- Work through the Platform Engineering team to effect change at organization scale rather than standing up competing surfaces.
- Facilitate collaboration between engineering teams, Product, Data, Security, and Infrastructure, including running forums where cross-cutting work gets planned and unblocked.
- Represent technical direction to leadership and carry business context back to engineering.
- Partner with Product to shape the roadmap and translate ambiguous business problems into architecture.
- Raise the engineering bar through design review, mentorship, and a working decision-record practice, and make architectural context available to both engineers and agents.
- Partner with Security, Compliance, and Data on AI governance, access control, and data handling, designed in rather than retrofitted.
QUALIFICATIONS
- Eight or more years of software engineering experience, including time with architecture scope and an organization-wide remit, and ownership of complex systems from design through production.
- Still shipping: writes and reviews code today, can open a meaningful merge request in an unfamiliar codebase within the first weeks.
- Experience building internal platform capability that other teams voluntarily adopted - can name the paved path or golden road built, how many teams moved onto it, and what they routed around.
- Hands-on experience building and operating production AI applications, not only prototypes, including evaluation, monitoring, failure handling, guardrails, latency, and cost control.
- Deep AWS expertise across a multi-account organization: identity and permission boundaries, networking, compute and serverless runtimes, managed data services, managed model services, and cost and tagging governance. Infrastructure as code in Terraform, CDK, or both.
- A track record of establishing architectural foundations where little existed - specific standards introduced, how they were adopted by teams that did not report to the candidate, and which failed and why.
- Hands-on experience with agentic software development - using AI coding agents to create specs and plans, execute meaningful multi-step work, run and fix tests, validate results, and iterate while owning architecture, quality, and what ships.
- Deep expertise in at least one primary area (Python or JVM backend and distributed systems, or React and TypeScript product engineering), plus ability to work across the full system.
- Experience with retrieval, embeddings, context, memory, evaluation, monitoring, or AI agent architectures and workflows.
- Strong judgment in testing, monitoring, failure handling, privacy, security, access control, and data governance, carried into a regulated or audited environment.
- Experience working with or inside a platform or infrastructure team as the delivery vehicle for organization-wide change, including how ownership was divided and how a parallel platform was avoided.
- Experience serving as a central technical point across multiple teams, with evidence of making those teams faster rather than becoming their approval gate.
- Demonstrated ability to create alignment across disagreeing teams, and to contribute to roadmap and capacity planning so foundational work is actually scheduled.
- Clear written communication and effective collaboration across technical and non-technical teams; influence without authority is the primary tool of this role.
PREFERRED QUALIFICATIONS
- Healthcare, health insurance, or benefits administration, including ICHRA, claims, eligibility and enrollment, or interoperability standards such as EDI and FHIR.
- Previous experience in a venture-backed high growth company.
- Internal developer platform or developer experience work, including golden path or paved road programs and adoption measurement.
- Experience with GitLab CI at scale, including shared and templated pipelines.
- Production observability and LLM observability practice, including Datadog.
- Event-driven and streaming architecture, such as Kafka or Flink.
- Practical experience with agent tooling and standards such as Claude Code, the Model Context Protocol, and agent SDKs.
- Experience defining an AI governance or technology radar process alongside a security or compliance partner.
A LITTLE MORE ABOUT US:
- We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space.
- We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized.
- Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average.
- Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve.
BENEFITS
Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave.
JOB APPLICANTS
If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Staff Data Analyst, you'll turn raw data into actionable insights that inform strategic decisions across GitLab's global Support Engineering organization. You'll design dashboards, reports, and data models that help leaders monitor performance, optimize costs, and improve customer outcomes. You'll also promote data innovation by experimenting thoughtfully and working through complex problems.
What you'll do
Own annual operating plan and capacity planning through data modeling and validation that support workforce and budget decisions.
Build and maintain utilization and team-performance scorecards, including automated alerting that surfaces trends in real time.
Analyze Support Economics, including cost-per-ticket modeling, self-service savings, and product quality costs.
Develop performance indexes and heatmaps that identify product areas and customers using the most support resources.
Lead dashboarding for AI adoption and return on investment, measuring the business impact of AI-driven initiatives across Support Engineering.
Partner with go-to-market teams on predictive analytics and churn-prevention models that identify at-risk customers.
Define and refine unified customer-schema requirements to create consistent data across systems and a single source of truth.
Deliver Monthly Business Review telemetry, executive-ready reporting packages, recurring operational reports, and ad hoc analysis.
What you'll bring
Experience as a business intelligence analyst, analytics engineer, or in a similar data role, ideally in a software as a service or technology company.
Experience partnering with Technical Support, Business Operations, Product Engineering, or similar organizations.
Fluency in SQL, including complex multi-table joins, grouping and aggregation, common table expressions, and conditional filters.
Hands-on experience building dashboards and reports in Zendesk Explore, Tableau, Looker, or similar business intelligence tools.
Translate ambiguous business questions into structured analytical frameworks.
Present findings clearly to technical and non-technical stakeholders.
Plan and prioritize work independently in a remote, cross-functional environment across time zones.
You may also bring experience with large language model-based tools, artificial intelligence and machine learning workflows, durable data solutions, analytics frameworks, in-depth data analysis, or presenting to senior leaders and executives.
About the team
Our Support Engineering organization uses data to understand performance, improve customer outcomes, and improve operational practices. You'll partner across Support Engineering, go-to-market teams, Business Operations, and Product Engineering in an all-remote environment.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
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GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
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accommodation
, please let us know during the
recruiting process
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Location: Singapore, Singapore
Workplace: Hybrid
ABOUT PAVE BANK
Pave Bank is the world’s first programmable business bank. Built by the founders behind Monzo and BigPay, we’re redefining global business banking by combining programmable financial infrastructure with world-class client experiences.
ABOUT THE ROLE
We are looking for a Head of Platform Engineering to own the development and operation of Pave Bank's platform infrastructure.
This is a hands-on technical leadership role. You will define the technical direction for platform engineering, remain deeply involved in the design and implementation of critical systems, and help shape the engineering practices and capabilities required as Pave scales.
The role is load-bearing, with direct responsibility for production systems, technical troubleshooting, and participation in the on-call rotation.
WHAT YOU'LL DO
- Own the technical direction and evolution of Pave's platform infrastructure.
- Design, build, and maintain reliable platform systems and services on GCP.
- Remain hands-on with software development, particularly in Go.
- Design and implement authentication systems using OAuth 2.0, including authentication flows and integrations in Go.
- Work with Temporal for workflow orchestration.
- Build and operate production workloads on Kubernetes.
- Design and manage cloud networking infrastructure, including VPC, Cloud IPsec, and KMS.
- Work with Cloud SQL and PostgreSQL, including the design and operation of production database systems.
- Own and improve platform CI/CD and infrastructure-as-code practices.
- Establish and maintain appropriate observability, monitoring, and alerting across platform systems.
- Act as a technical lead for complex platform and infrastructure problems.
- Take ownership of production issues and participate in the on-call rotation.
- Work closely with other engineering teams to build platform capabilities that support their technical requirements.
- Make practical architectural decisions and drive projects from design through implementation and operation.
- Help establish the engineering standards, practices, and technical foundations for the platform as the function grows.
- Mentor and support engineers working on platform and infrastructure as the team develops.
WHAT WE'RE LOOKING FOR
TECHNICAL
- Strong experience in platform, infrastructure, or backend engineering, with significant hands-on experience.
- Strong experience with Go and the ability to build production services.
- Hands-on experience with Temporal.
- Strong understanding of OAuth 2.0, with the ability to implement authentication flows in Go.
- Strong hands-on experience with Kubernetes and production workloads.
- Strong experience with GCP and cloud infrastructure.
- Experience with cloud networking, including:
- VPC
- Cloud IPsec
- KMS
- Strong experience with Cloud SQL and PostgreSQL.
- Experience with infrastructure-as-code and CI/CD.
- Experience building and maintaining observability, monitoring, and alerting for production systems.
- Strong experience operating and troubleshooting production systems.
LEADERSHIP & OWNERSHIP
- Experience as a technical lead or engineering leader, with the ability to provide technical direction and make architectural decisions.
- Comfortable remaining hands-on rather than being purely a people manager.
- Strong ownership of production systems and technical outcomes.
- Comfortable participating in on-call and handling production incidents.
- Able to make sound technical and architectural decisions and communicate them clearly.
- Comfortable working in a fast-moving environment where you may need to solve problems directly.
- Able to mentor engineers and help establish strong engineering practices as the function grows.
NICE TO HAVE
- Experience working in fintech, banking, payments, or other financial technology environments.
- Experience working with systems where security, reliability, and availability are critical.
- Experience working in a highly regulated or security-conscious environment.
Location: Novi Sad, South Bačka, Serbia, EMEA
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for an experienced Technical Product Manager to join Systems Engineering and own the roadmap for the capabilities and technology that power Fivetran’s global Customer Support organization.
You’ll sit at the intersection of Support and Engineering, partnering with Support leaders to understand their biggest challenges, define what we should build, and work with technical teams to deliver scalable solutions. You’ll work across case management, customer portals, service delivery, workforce workflows, and automation, with Zendesk at the center of a broader ecosystem of APIs, integrations, and custom services.
You’ll work with a diverse, global group of stakeholders and need to build trust quickly, flex your communication style, and confidently guide teams toward the right solution rather than simply taking requests at face value. This role is ideal for someone who moves quickly, asks great questions, and can bring structure to loosely defined problems. You’ll need strong technical instincts and the confidence to go beyond the initial request, understand the underlying problem, and recommend a simpler or more scalable approach.
Technologies You’ll Use
Zendesk, Salesforce, Jira, Slack workflows, APIs and integrations, Lucidchart, SQL, Looker, Google Workspace, AI and automation technologies, and other systems supporting Fivetran’s customer experience.
What You’ll Do
As a TPM for our Support systems, you'll be responsible for defining what we build, shaping how we deliver it, and driving alignment across stakeholders to ensure successful execution.
Product Management
Partner with Support leadership and cross-functional stakeholders to build and maintain the Customer Support systems roadmap.
Intake, evaluate, and prioritize requests across case management, customer portals, service delivery, workforce workflows, and support automation.
Own requirements gathering, process analysis, and solution scoping for prioritized initiatives.
Translate ambiguous business needs into clear product, process, and systems requirements, asking the right questions to uncover the broader problem behind the request.
Identify opportunities to simplify workflows, improve agent and customer experiences, and increase Support efficiency through automation and better systems.
Technical Leadership
Partner with Systems Engineering to design scalable solutions across Zendesk and its broader integration ecosystem.
Develop deep expertise in Support processes, Zendesk capabilities, APIs, integrations, automation, and data flows to support solution design, systems analysis, testing, and implementation.
Shape technical tradeoffs that balance business value, customer experience, delivery effort, quality, scalability, and maintainability.
Evaluate opportunities to use AI, automation, and evolving support technologies to improve service delivery while thoughtfully incorporating human oversight where needed.
Ensure delivered solutions meet business requirements and quality expectations through active participation in testing and validation.
Stakeholder Management & Delivery
Build trusted partnerships across a diverse, global stakeholder group spanning Support, Product, Engineering, Professional Services, Legal, and other teams.
Adapt your communication and working style across stakeholders while confidently providing recommendations and constructively challenging ideas when needed.
Drive alignment on priorities, requirements, tradeoffs, and implementation approaches.
Partner with technical and business teams throughout design, testing, rollout, enablement, and adoption.
Communicate progress, risks, decisions, and business impact clearly to stakeholders at all levels.
Skills We’re Looking For
7+ years of experience in Technical Product Management, Business Systems, Technical Business Analysis, Product Ownership, Implementation Consulting, or a related technical role.
Experience working with customer support, customer experience, or other complex business workflows in a SaaS or technology environment.
Strong technical foundation with experience working across APIs, integrations, data flows, automation, and interconnected business systems.
Demonstrated ability to take loosely defined stakeholder requests, ask the right questions, and translate them into clear problems, requirements, and scalable solutions.
Strong product judgment with the ability to look beyond a requested solution, understand the underlying need, and recommend simpler or more effective approaches.
Excellent stakeholder management and communication skills, with the ability to build trust and adapt your approach across technical and non-technical audiences.
Ability to operate effectively in a fast-paced environment with a high volume of requests and competing priorities.
Strong execution skills with experience carrying initiatives through requirements, design, testing, rollout, and adoption.
Curiosity about AI, automation, and emerging technologies and how they can improve customer and employee experiences.
Bonus Skills
Hands-on experience administering Zendesk or building applications and integrations using the Zendesk API.
Experience with AI-enabled customer support, agent-assist, or workflow automation technologies.
Experience with workforce management, premium support, or differentiated service models.
Experience supporting Professional Services or other post-sale customer workflows.
Experience integrating or consolidating customer support platforms, portals, or processes.
#LI-DC1
#LI-HYBRID
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: 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.
As we build Affirm's advertising platform and evolve Marketplace into a best in class shopping destination, the ability to route and discover is one of the greatest levers for consumer experiences. Search is one of the highest impact surfaces, and we are building a new team that will own not just the recommendations and search experiences, but also explore opportunities to improve customer experience, monetization, and merchant value. This team will help make Affirm the definitive destination consumers turn to for discovery, understanding, comparing, and shopping through Affirm, and will also lay the foundation for an agentic platform.
What You'll Do
· You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
· You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
· You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
· You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
· You have experience developing consumer experiences using UI frameworks like React
· You have 2+ years of experience working in search or related recommendation engines
· You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
· You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
· Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Base Pay Grade
- P
Equity Grade
- 7
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 monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year:
CAD $181,000 - $241,000
Location - Remote Canada
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
#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: 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.
As we build Affirm's advertising platform and evolve Marketplace into a best in class shopping destination, the ability to route and discover is one of the greatest levers for consumer experiences. Search is one of the highest impact surfaces, and we are building a new team that will own not just the recommendations and search experiences, but also explore opportunities to improve customer experience, monetization, and merchant value. This team will help make Affirm the definitive destination consumers turn to for discovery, understanding, comparing, and shopping through Affirm, and will also lay the foundation for an agentic platform.
What You'll Do
· You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
· You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
· You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
· You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
· You have experience developing consumer experiences using UI frameworks like React
· You have 2+ years of experience working in search or related recommendation engines
· You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
· You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
· Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
· This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Base Pay Grade
- P
Equity Grade
- 13
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 Pacific base pay range (CA, WA, NY, NJ, CT):
$230,000 - $290,000
USA Sapphire base pay range (all other U.S. states):
$204,00 - $264,000
#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: Remote - USA
At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes for patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions.
Our UX Designers thrive on solving hard problems. We deliver products and experiences by combining personal care with modern technology to give people the healthcare they deserve. We work closely to define emerging patterns, interactions, and visual systems from the ground up to solve problems that haven’t been solved yet. It’s an opportunity to not only design better healthcare software, but to design a whole new way to work.
We are seeking a talented and experienced Staff UX Designer to join our team and lead impactful design initiatives across our product suite. As a key member of the design leadership team, you will shape the quality of the user experience, collaborating closely with cross-functional teams to ensure our products are intuitive, user-centered, and aligned with business goals. You will be responsible for solving complex design challenges, elevating design quality by mentoring other designers, and driving a user-first mindset throughout the organization.
If you are a design leader who thrives in a fast-paced, outcome-driven environment and has a passion for creating products that make a meaningful impact, we would love to meet you!
As a Staff UX Designer, you will:
Provide leadership in introducing consumer-level experiences into the enterprise healthcare space, setting a new standard for design quality with a refined sense of taste.
Lead the exploration and solutioning of undefined problem areas, driving innovation to tackle complex user and business challenges.
Own and lead large-scale design projects, utilizing rapid prototyping and fast learning cycles to deliver impactful, scalable solutions.
Bring differentiated expertise to elevate the overall design quality and introduce breakthrough experiences, pushing the team toward new levels of excellence.
Establish yourself as a design leader by demonstrating mastery, strategic thinking, and confidence in making intelligent design decisions.
Champion design excellence and innovation throughout the organization, influencing cross-functional teams and setting the standard for high-impact solutions.
Success in this role looks like:
In the first 90 days, you have partnered with senior engineering to deliver multiple prototype iterations, which are now actively in the hands of end users. You have dramatically elevated the user experience and are setting a new benchmark for design excellence. Your deep collaboration with leadership and data science teams has been essential in weaving ML features into the design and breaking new ground.
By six months, you have seamlessly integrated next-gen design patterns into the workflows of other designers and PMs. You’ve also incorporated these patterns and improvements into the Design System as a member of the Design System Team, while retiring or updating outdated patterns. You are now balancing the fine-tuning of next-gen experiences with launching new, high-impact projects, demonstrating your strategic vision and agility across the organization.
Long term, you continue to lead groundbreaking exploration projects with substantial potential. You are working collaboratively with senior leadership and data science teams to drive strategic design advancements. As a key player in the Design System, you are elevating design quality, consistently pushing the envelope and setting new standards for excellence.
You should get in touch if:
You have 7+ years of in-house design experience, including working autonomously with senior technical teams and integrating complex features like ML to deliver consumer-level, best-in-class experiences.
You have a portfolio that demonstrates industry mastery (healthcare experience is a plus but not required), showcasing advanced expertise in interaction and visual design, with a track record of creating outstanding, next-level user experiences.
You possess strategic thinking skills and have experience leading early-stage exploration projects with high-value potential, showcasing your ability to drive impactful design innovations.
You have a proven track record of managing and reconciling conflicting stakeholder feedback, resulting in cohesive and innovative design solutions.
You are adept at working with design systems, with experience in contributing to and maintaining high-quality, scalable design standards.
You are a natural leader who thrives on sharing your knowledge with others, helping to elevate the design capabilities of your team.
Benefits Overview
:
Financial Well-Being
: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
Physical Well-Being
: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
Mental Well-Being
: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
Professional Development
: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
Additional Perks:
Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
Reimbursement for office setup expenses
Monthly cell phone & internet stipend
Remote-first culture, enabling collaboration with global teams
Paid parental leave for all new parents
And much more!
About Counterpart Health:
In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions.
Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.
With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.
Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.
#LI-REMOTE
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an
E-Verify
company.
Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.
A reasonable estimate of the base salary range for this role is:
$188,500
—
$245,000 USD
Location: Los Angeles, USA
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As a Staff Software Engineer, you’ll drive important technical initiatives and provide other engineers with a clear illustration of extraordinary engineering. We work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value.
As a
Staff Software Engineer (Full-Stack)
on the Central Creative Tools team, you will work closely with artists, discipline leads, and other engineers to gather requirements and implement the long-term vision for the team’s tooling. In this role you will be hands-on in conceptualizing, planning, implementing, and maintaining the tools that power content creation workflows utilizing Digital Asset Management (DAM) to make creatives more efficient. You will report to the Director of Technical Art on the team.
Responsibilities:
Implement the foundational elements of the studio’s Digital Asset Management (DAM) system to support each game team’s creative tools ecosystem
Be hands-on in development, writing excellent code that sets a high standard for other engineers.
Evaluate, integrate, and operate AI-assisted engineering tools that improve code quality, reliability, security, performance, and developer productivity across the software delivery lifecycle
Lead the technical execution of multi-month to year-plus work efforts across the business unit, holding teams to established standards.
Help teams navigate ambiguity and complexity by breaking down problems, identifying risks, and clearly communicating trade-offs.
Implement the technical vision, architecture, and execution for the tools engineering team in accordance with overall goals of team leadership.
Collaborate effectively with production, design, art, and other engineering teams to deliver tools that are purpose-driven, robust, and scalable
Champion tooling best practices across multiple teams including design, tech art, UX, and gameplay engineering
Review and identify new and shared developer tooling technologies, both internal and external, as possible opportunities for the team
Provide documentation and trainings on new tools and workflows to internal customers
Partner with game developers, infrastructure engineers, and QA teams to align release processes with development needs.
Required Qualifications:
6+ years of professional experience in software engineering, including experience delivering live or shipped products at scale
Experience supporting AI/ML platforms, inference services, model-serving systems, data pipelines, or GPU-backed workloads
3+ years working on game development tools
Experience in Unreal Engine and awareness of upcoming tools from Epic
B.S. in computer science or equivalent experience
Proven ability to navigate ambiguity and influence cross-functional stakeholders
Strong communication skills across technical and non-technical audiences
Knowledge within a diverse set of public cloud technologies: AWS RDS, S3, EC2, etc.
Proficiency in GoLang, C++ and C#, and familiarity with Java / Typescript.
Experience working with large game teams and large code bases
Experience collaborating with teammates across multiple disciplines
Desired Qualifications:
Experience working in Digital Asset Management (DAM) systems
Experience of working with desktop applications
Professional experience creating tools in Unreal 5
Experience collaborating with teammates across multiple disciplines
Product sense, pragmatism, and player empathy in making tech decisions
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: Los Angeles, USA
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As a Staff Software Engineer, you’ll drive important technical initiatives and provide other engineers with a clear illustration of extraordinary engineering. We work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value.
As a
Staff Software Engineer (Services)
on the Central Creative Tools team, you will work closely with artists, discipline leads, and other engineers to gather requirements and implement the long-term vision for the team’s tooling. In this role you will be hands-on in conceptualizing, planning, implementing, and maintaining the tools that power content creation workflows utilizing Digital Asset Management (DAM) to make creatives more efficient. You will report to the Director of Technical Art on the team.
Responsibilities:
Implement the foundational elements of the studio’s Digital Asset Management (DAM) system to support each game team’s creative tools ecosystem
Be hands-on in development, writing excellent code that sets a high standard for other engineers.
Evaluate, integrate, and operate AI-assisted engineering tools that improve code quality, reliability, security, performance, and developer productivity across the software delivery lifecycle
Implement new components and feature sets for our data platform solutions in multiple problem spaces including backend services, deployment, and monitoring
Help teams navigate ambiguity and complexity by breaking down problems, identifying risks, and clearly communicating trade-offs.
Champion the technical vision, architecture, and execution for the tools engineering team with production and management
Collaborate effectively with production, design, art, and other engineering teams to deliver tools that are purpose-driven, robust, and scalable
Provide documentation and trainings on new tools and workflows to internal customers
Partner with game developers, infrastructure engineers, and QA teams to align release processes with development needs.
Required Qualifications:
6+ years of professional experience in software engineering, including experience delivering live or shipped products at scale
3+ years working on game development tools
Experience supporting AI/ML platforms, inference services, model-serving systems, data pipelines, or GPU-backed workloads
Experience with distributed system architectures and with maintaining large scale cloud services within a diverse set of public cloud technologies: AWS RDS, S3, EC2, etc.
B.S. in computer science or equivalent experience
Proven ability to navigate ambiguity and influence cross-functional stakeholders
Strong communication skills across technical and non-technical audiences
Proficiency in GoLang, Java, C++ and C#.
Experience working with large game teams
Experience working with large code bases
Experience collaborating with teammates across multiple disciplines
Desired Qualifications:
Experience working in Digital Asset Management (DAM) systems
Experience of working with desktop applications
Experience collaborating with teammates across multiple disciplines
Product sense, pragmatism, and player empathy in making tech decisions
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, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Staff Security Governance Engineer, you will be the individual contributor who owns how GitLab writes, maintains, communicates, and measures its security policies and standards. You will turn emerging regulations, including AI regulation, into clear requirements that engineering, product, and legal teams can act on, and you will use automation to keep governance lightweight and continuous rather than a point-in-time exercise. You will sit on the Security Governance team within Security Assurance and work closely with Security Compliance, Security Risk, and GRC Engineering. You will report to the Director, Customer Trust & Security Governance.
What you'll do
Policies and standards
Own the end-to-end lifecycle of GitLab's security policies, standards, procedures, and guidelines: drafting, stakeholder review, approval, publication, annual review, and retirement.
Define and run the exception management process, including risk-based approvals, expiry tracking, and trend reporting that shows where policies need to change.
Run policy attestation and investigate non-adherence.
Keep policies clear, practical, and aligned with how GitLab's engineering teams work in a DevSecOps environment.
Regulatory and framework alignment
Monitor emerging regulations and standards (e.g., EU AI Act, NIST AI RMF, ISO 42001, sector or regional requirements) and partner with Legal well ahead of compliance deadlines to assess impact and update policy.
Maintain mappings between our policies and frameworks such as SOC 2, ISO 27001, ISO 42001, FedRAMP, and NIST CSF, so requirements are written once and reused.
Measurement and assurance
Define KPIs for policy adherence and report trends to Security leadership.
Run targeted internal assessments of adherence and drive remediation to closure.
Support audit activities by coordinating evidence, testing, and remediation management.
Customer trust
Support customer questionnaires and customer meetings, and help turn recurring customer requests into better policies and self-service content.
Automation and AI
Identify and implement automation and AI-assisted workflows for policy management, evidence collection, control monitoring, and assessment work, in partnership with GRC Engineering.
Technical leadership
Act as a technical and program leader across Security, Product, Legal, and Engineering, influencing without direct authority.
Mentor other team members and help set the direction of the Security Governance roadmap.
What you'll bring
10+ years in security governance, GRC, or IT risk, with hands-on ownership of a policy and standards lifecycle and measurable outcomes, ideally at a global technology company.
Working knowledge of SOC 2, ISO 27001, ISO 42001, FedRAMP, and NIST CSF, including how to put them into practice, not only how to read them
Experience creating and maintaining an enterprise Information Security Management System (ISMS), ideally including hands on involvement in ISO 27001 certification or recertification.
Understanding of cloud, SaaS, and DevSecOps practices, and the ability to write policy that engineers will follow.
A risk-based mindset that balances compliance with real security risk.
Demonstrated use of automation or AI to reduce manual GRC work.
Strong written and verbal communication, including translating technical concepts for engineers, executives, auditors, and customers.
Experience collaborating with Security, Product, Legal, and Engineering.
Certifications such as CISSP, CISM, CISA, or similar are highly desirable.
What success looks like
First 30 days: Assessed the current policy library and exception process, built relationships with key stakeholders, and proposed a prioritized roadmap.
First 90 days: Uplift the existing security policy library to align with NIST CSF, ISO 27001/27017/27018/42001, and PCI-DSS.
First 120 days: A refreshed review cadence is in place, exception reporting is running, and can demonstrate a measurable improvement in policy adherence.
First six months: Develop Policy as Code and collaborate with Security, Product, Legal, and Engineering for implementation into existing workflows.
About the team
The Security Assurance organization helps GitLab build and maintain trust by strengthening how we approach security, compliance, and risk. Security Governance sits within it and owns customer trust, security awareness, policies and standards, and other governance functions. Our counterparts are Security Compliance, Security Risk, and GRC Engineering.
You will join a small team of four direct reports under the Director, where each person has broad scope and visible impact. We work remote-first and asynchronously, and we write things down and share them openly, so you'll draft and revise policies and standards in the open with input from Security, Legal, Product, and Engineering.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$168,000
—
$238,000 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: United States; Vancouver, Canada
Our client, a global leader in Earth-observation satellites, is hiring a Staff Systems Engineer for its Synthetic Aperture Radar (SAR) missions. Fully remote from the US is fine for the first couple of years; relocation to the Vancouver, BC area later is optional, not required.
What you will do
• End-to-end oversight of SAR engineering across the full lifecycle of a SAR space mission
• Own the mission concept of operations and high-level mission specs, including spacecraft budgets that drive the SAR payload
• Lead technical solutions for current and future SAR missions: beam mode design, mission concept design, SAR image quality modelling
• Lead mission-level risk management, integration, verification and validation
• Run design trade-offs across spacecraft systems, coverage and access, SAR payload, SAR processor and end-user applications
• Own the SAR side of commissioning, calibration and early operations
• Advise senior management and new business; mentor the team
What you need
• Graduate degree in Electrical Engineering, Engineering Physics, Math or Physics (or equivalent experience)
• 15+ years with radar, SAR or similar active imaging systems (hardware, processors and/or data products)
• 10+ years in a space systems engineering or similar complex systems environment
• SAR remote sensing experience: system design, operation, applications/exploitation and/or calibration
• Strong communicator across technical, sales, executive and customer audiences
• US citizen or permanent resident (export-control and Controlled Goods requirements)
Nice to have
: MATLAB, Python; satellite SAR payload design and operations; space mission design (coverage and access, orbital dynamics); spacecraft design (thermal, power, pointing); geospatial data.
УдалённоUnited States; Vancouver, Canada; Fully remote from the US is fine for the first couple of years; relocation to the Vancouver, BC area later is optional, not required
Location: Vancouver, Canada; United States
Our client is hiring a Staff-level engineer to lead a highly specialized team building cutting-edge, high-throughput signal processing systems that turn raw satellite radar data into SAR imagery, deployed on the ground and potentially on board spacecraft. Fully remote from the US; optional relocation to Vancouver later.
What you will do
• Lead the definition, specification, technical risk management, integration, verification and validation of SAR processors, new and existing
• Supervise interface control document development; ensure hardware and software components integrate into the larger ground or space segment
• Coordinate trade-offs between theoretical algorithms and their implementation on the actual processor
• Troubleshoot root causes of processing errors and artefacts in image products and find mitigations; optimize processing time toward near-real-time
• Take part in mission design trade-off studies; mentor the team; advise senior management and new business pursuits
What you need
• Degree in Electrical Engineering, Engineering Physics, Math or Physics (or equivalent)
• 12+ years in an engineering environment, including 5+ years on complex signal processing systems (radar, medical imaging, computer vision or similar) and 10+ years in a large product development or systems engineering environment
• Solid grounding in high-speed, high-throughput data analysis and transmission design
• MATLAB, Python or C++
• Clear communicator to technical, sales, executive and customer audiences
• US citizen or permanent resident
Nice to have
: SAR remote sensing (system design, operation, exploitation, calibration); satellite SAR payload design and operations; FPGA or ASIC based system design; geospatial data.
УдалённоVancouver, Canada; United States; Fully remote from the US; optional relocation to Vancouver later
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
We’re looking for a Senior Staff Machine Learning Engineer to lead Reddit’s next-generation user understanding initiative: building a unified, high-fidelity representation of each user that powers personalization across the platform.
This role requires deep expertise in mainstream ML user modeling approaches (e.g., large-scale embeddings, user interest modeling, affinities, behavioral signals) and the ability to reimagine these systems in the GenAI era—leveraging LLMs and foundation models to unlock step-change improvements in fidelity, adaptability, and expressiveness.
You will set the technical direction for this space, leading the design and implementation of Reddit’s core user representation layer—spanning embeddings, interest modeling, and key user attributes. You’ll ensure this foundation is scalable, reliable, and widely adopted across Feeds, Search, Notifications, and Ads, partnering closely with product, infrastructure, and downstream ML teams to drive measurable impact.
This is a high-impact role. The systems you build will shape how hundreds of millions of people experience Reddit every day—what they see, what they discover, and the communities they connect with. Your work will directly advance personalization and relevance at global scale, strengthening Reddit as a platform for meaningful connection and belonging.
What you'll do:
Design User Understanding Strategy: Define a unified user understanding framework and strategy: how users are represented (embeddings, tags, attributes, LLM-based user profile), how they are computed, stored, and exposed. Provide thought leadership in user understanding and user modeling by setting a long-term technical vision and advancing the state-of-the-art in the field.
Build Foundational User Models: Lead design and implementation of advanced user models, e.g. large-scale user representation learning (sequence-based, multi-interest, multi-task) that share representations across surfaces to improve personalization experience across key Reddit products e.g. Feeds, Notification, Search and Ads, balancing latency, cost, and performance.
Reimagine user understanding with LLM/Gen-AI: Evolve user modeling beyond traditional representations by leveraging LLMs to build richer user understanding (e.g., dynamic user profiles, intent inference, semantic reasoning over user behavior). Explore how LLMs can augment or unify embeddings, attributes, and taxonomies to enable more adaptive, interpretable, and context-aware personalization.
Ship Large Scale User Understanding as a System: Partner with platform teams to design and build core components for large-scale learning and serving: storage/retrieval for embeddings, feature pipelines, and APIs. Collaborate with ML/Ranking infra to ensure low-latency serving, high availability, and integration with MLOps systems.
Drive Cross-Team Integration & Impact: Partner with Feeds, Notification, Search and Ads teams to drive experimentation and adoption of new user understanding models with product teams across Reddit, ensuring measurable end-to-end impact on key metrics.
Set Technical Bar & Mentor: Mentor senior to staff engineers, lead design reviews, steward technical decisions across the user understanding domain, and champion and drive engineering processes and best practices
Who you might be:
You have at least 10 years experience building and scaling production-grade ML systems, particularly in user modeling, large-scale representation learning, or recommender systems.
You have a track record of driving ambiguous, high-impact initiatives from concept to production, shaping both technical direction and execution.
You are product- and impact-oriented: you care deeply about how your work moves real metrics (e.g., engagement, retention, revenue), not just model quality.
You bring strong fundamentals in mainstream user understanding ML approaches (e.g., representation learning, behavioral modeling, user clustering), and understand their trade-offs in real-world systems.
You are excited about the GenAI shift and have experience (or strong intuition) applying LLMs or foundation models to evolve existing systems, going beyond incremental improvements.
You think in systems, not just models: you consider data, training, evaluation, serving, and adoption as a cohesive whole, and design with end-to-end impact in mind.
You influence beyond your immediate team: partnering effectively with product, infra, and other ML teams, and driving alignment across multiple stakeholders.
You raise the technical bar: mentoring senior engineers, leading design reviews, and establishing best practices for building reliable, scalable ML systems.
You are comfortable navigating trade-offs across quality, latency, cost, and safety, especially in large-scale, user-facing systems.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-remote, #LI-JS5
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$266,000
—
$372,400 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Barcelona; Cardiff, London or Remote (UK); London
🚀 We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as
personal
and
business
bank accounts, we offer
joint accounts
,
accounts for 16-17 year olds
, a
free kids account
and
credit cards
in the UK, with more exciting things to come beyond. Our UK customers can also
save
,
invest
and
combine their pensions
with us.
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products - we want to solve problems and change lives through Monzo ❤️
📍 London or Barcelona | UK remote | 💰 £124,400 - 165,000 + Incentive Awards tied to your performance +
Benefits
|
Technology
—
Data
We’re looking for a Staff Data Scientist excited to help build the bank of the future. This is a senior individual contributor role for someone who combines deep technical expertise with strong commercial judgement and can apply both to Monzo’s most important and complex challenges.
At Monzo, we’re building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
Enable Monzo to Make Better Decisions, Faster
We have a strong culture of data-driven decision making across the whole company. And we’re great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker, which gives data scientists the headspace to focus on more impactful business questions and analyses.
As a Staff Data Scientist, you’ll lead efforts on strategically important, business-critical problems. You’ll apply judgement in areas of organisational or technical complexity, steward initiatives end-to-end, and focus your hands-on contribution where it can create the greatest impact. You’ll be a trusted technical partner to senior leaders, raise the bar for Data Science across Monzo, and build capability in others through coaching, reusable approaches and clear standards.
Our Data Science team ⭐
We are excited to be expanding and are hiring across our Data Science teams. Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth or Core, we are looking for versatile people who can contribute across squads and collectives. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future!
🔑You’ll play a key role by...
Shape and lead the data strategy for a large domain or collective, connecting customer and commercial goals to a clear portfolio of high-impact Data Science work
Identify, frame and lead strategically important problems where the path is ambiguous, dependencies span teams, and decisions involve meaningful customer, commercial, regulatory or operational trade-offs
Partner with senior leaders across product, engineering, ML, design, research, risk and operations, bringing an independent technical perspective that influences strategy and turns it into measurable outcomes
Establish measurement strategies and metric maps that clarify how customer behaviour, product changes and business outcomes connect, enabling teams to test assumptions and make better decisions faster
Set and evolve best practices for experimentation, causal inference, forecasting, optimisation and decision science, choosing methods that are proportionate to the decision and its risks
Remain hands-on where your expertise is most valuable: exploring complex data, designing analyses and experiments, building models or prototypes, and resolving the hardest technical questions
Steward critical data products and initiatives end-to-end, ensuring they are robust, well-governed, clearly documented and adopted by the people who need them
Balance pace and analytical rigour, making pragmatic trade-offs while protecting the quality, reproducibility and interpretability of your work
Raise Data Science standards across Monzo through technical direction, proposals, reviews, reusable methods and thoughtful challenge
Coach and mentor data scientists and analytics engineers, using live projects and wider discipline initiatives to build sustainable capability beyond your own individual output
🤩 We’d love to hear from you if…
You have an exceptional track record of leading complex, business-critical Data Science work from ambiguous problem framing through to measurable outcomes
You have shaped strategy across a large product or business domain and can influence senior leaders through clear, independent judgement
You bring deep expertise across several Data Science disciplines and can set the technical direction for work involving significant complexity, uncertainty or risk
You repeatedly create clarity across organisational boundaries, resolve difficult dependencies and turn long-term strategy into decisive action
You communicate complex ideas, assumptions and risks with clarity, and hold a consistently high bar for analytical quality, governance and reproducibility
You remain a highly credible hands-on practitioner with SQL and Python, while raising standards and multiplying the impact of experienced colleagues
The interview process:
Our interview process involves:
Recruiter Call
Initial Call
Technical assessment
Final Interviews
Business Fit/Collaboration
Case Study
Technical Interview
Our average process takes around 2–3 weeks, but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process.
We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo.
You can read them here.
For more insight into the hiring experience at Monzo, check out our blog post written by one of our Recruiters -
Data Hiring at Monzo
.
What’s in it for you:
💰 £124,400 - £165,000 + Incentive Awards tied to your performance + Benefits
✈️ We can help you relocate to the UK or Spain
✅ We can sponsor visas
📍 This role can be based in our London or Barcelona offices, but we’re also open to distributed working within the UK (with ad hoc meetings in London).
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
📚 Learning budget of £1,000 a year for books, training courses and conferences
➕ And much more - see our full list of
benefits
.
If you prefer to work part-time, we’ll make this happen whenever we can — whether this is to help you meet other commitments or strike a great work-life balance.
#LI-Remote
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our
blog
, 2026
Diversity and Inclusion Report
and 2025
Gender Pay Gap Report.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊
Location: United States, Remote
Are you on a mission to create games that bond players together into deeply invested communities? Would you like to work on something comedic with lighthearted and whimsical characters? And are you excited to build the systems and tools to help others create a rich, innovative game?
As a Staff Gameplay Engineer – Systems & Performance on teamLFG, you will be a hands on technical expert in foundational gameplay systems and game performance. You will help define and evolve the architecture, frameworks, and shared systems that gameplay engineers and content creators build upon, while driving the technical direction for performance and optimization across the game. Most importantly, you will work with a fun, dedicated, and cross-discipline team devoted to turning a creative dream into a new franchise at PlayStation.
We look for candidates who value joining a mission-focused team with a diverse set of backgrounds, experiences, interests, and viewpoints.
RESPONSIBILITIES
Design, build and maintain production-quality foundational gameplay systems, frameworks, workflows, and tools in C++ on Unreal Engine 5
Provide technical direction for shared gameplay systems, working closely with engineers and content creators to evolve their architecture, identify risks early, and ensure they scale with our simulation and networking model
Own game performance and optimization: proactively profile the game, identify systemic bottlenecks and performance risks, establish priorities, and implement optimizations directly in the codebase
Establish performance practices, metrics, budgets, profiling workflows, and tools that enable engineers and content creators to understand the runtime cost of their work and optimize their own systems
REQUIRED SKILLS
Strong C++ skills and the ability to design, implement, debug, profile, and maintain production quality systems in a large codebase
Demonstrated experience architecting and evolving large-scale gameplay systems, frameworks, or shared gameplay infrastructure, beyond the implementation of individual gameplay features
Deep experience profiling and optimizing real-time games, including identifying, investigating, and resolving CPU, memory, networking, and other systemic performance bottlenecks
Experience developing with Unreal Engine
Strong communication and collaboration skills, with the ability to explain complex technical topics and influence technical decisions across disciplines
NICE-TO-HAVE SKILLS
Experience developing and shipping multiplayer games, particularly games with complex gameplay simulation and networking requirements
Experience developing and optimizing games across PC and console platforms
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click
here
to learn more.
This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below.
$172,000
—
$259,000 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Location: Remote-Friendly (Travel Required) | San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Data Center Security Engineering (DCSE) secures Anthropic's data center footprint; this role covers how the sites are designed and built to be secure. Much of that footprint is designed and built with partners, so a site's security is decided early: in what Anthropic hands the people who build it, and in how rigorously the delivered systems are tested against it.
You'll design and specify the physical security systems for a site: perimeter and vehicle barriers, intrusion detection, video, security lighting, and the site penetrations and utility entry points that bypass them. Design firms and integrators produce the site drawings and install; you specify, review, and verify. You'll write the performance requirement and verification method behind each control, review every site design against them at each stage with redlines a design team can act on, test in the field that what was built performs as specified, and re-verify post-acceptance changes.
This is a foundational role. You'll own Anthropic's physical security reference design package (typical details, reference drawings, schedules, and test procedures) in the form partners build from, and keep it current against each site's threat basis and the sites actually being built. You'll set the technical position for a site and decide what applies where; where a requirement can't be met as written, you'll engineer the compensating control and document the deviation. You'll work with the rest of DCSE, with Anthropic's design, construction, and real estate counterparts, and directly with the vendors who build to the package. We use Claude throughout our engineering workflow and expect you to as well.
The same seat covers the team's security operations control rooms. You'll set their design and operational requirements and accept delivered systems against them, working day to day alongside the team's platform engineers, who own the software and compute that run in them.
This role involves regular travel to data center sites. These are critical services, and this role participates in an on-call rotation for them.
Key responsibilities
Produce a vendor-ready design package
for perimeter barriers and hostile vehicle mitigation, intrusion detection and its zoning, video coverage, security lighting matched to camera performance, and penetration protection: performance specifications, typical details and reference drawings, and device and zone schedules, written so a design firm can build to them and a test can prove them
Define the per-site engineering basis:
which requirements apply to a site based on its risk profile and the threats it faces, with compensating controls and documented deviations
Write the acceptance criteria and test methods:
the verification method behind each requirement and the evidence a site must produce to pass acceptance
Set standoff, structural hardening, and site layout criteria
for new designs, tied to the threat basis they derive from
Run field verification:
commissioning and acceptance testing of perimeter, detection, video, and lighting against performance criteria (detection coverage tests, photometric measurements, video quality checks)
Write the operational and design requirements for security operations control rooms:
console layout, wall versus workstation content, supervisor placement; room network, power, backup, and resilient communications to the team's segmentation and hardening baseline
Own control room acceptance:
factory and site acceptance criteria written before the build, then accept or reject delivered systems (video wall, consoles, cabling, fit-out) against them
Minimum qualifications
Have designed or specified physical security systems (perimeter barriers, intrusion detection, video, security lighting) for campus-scale sites: multiple buildings, a secured perimeter, many detection zones
Read and produce construction documents (site plans, civil and electrical drawings, device schedules, submittals) using standard design and markup tools such as AutoCAD, Revit, or Bluebeam, and find what is missing as readily as what is wrong
Write performance requirements that are testable: each states what must be true, how it will be verified, and what evidence shows it
Have run commissioning and acceptance tests against performance criteria and rejected work that did not meet them
Derive requirements from a threat basis rather than a product catalog: you can say which adversary a control stops and where the next weakest point is
Have owned an engineering domain where you set the approach, chose what applied to each site, worked directly with vendors, and answered for the result
Preferred qualifications
Experience carrying a physical security design from construction documents through construction to acceptance testing
Experience engineering the security scope of colocation or partner-delivered facilities
Working knowledge of published standards for standoff, hostile vehicle mitigation, and intrusion detection zoning
Photometric and video quality measurement experience
Control room, AV, or network design experience: console layouts, video wall systems, resilient communications
Experience using AI-assisted tooling for drafting and review as a core part of your workflow
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is hiring a Staff Hardware Test Engineer (Manufacturing) to lead manufacturing test strategy and deliver scalable test solutions that ensure every WHOOP device meets the highest standards of quality and reliability. You will take ownership of complex manufacturing test challenges from high-level objectives through strategy, execution, and production outcomes. Working across Manufacturing Engineering, Electrical Engineering, Firmware, Mechanical Engineering, Quality, and Reliability, you will drive alignment on test strategy, influence product and manufacturing decisions, and deliver measurable improvements in test coverage, quality, yield, cycle time, and cost. You will also establish best practices, raise engineering standards, and mentor engineers across the team.
RESPONSIBILITIES:
- Lead the architecture, development, validation, and deployment of automated test equipment (ATE), electrical test fixtures, and control systems for engineering validation, NPI, and mass production.
- Develop and establish scalable automated test methodologies and applications using Python to validate electrical, functional, RF, and sensor performance on manufacturing lines.
- Drive cross-functional alignment across Hardware, Firmware, Manufacturing, and Quality engineering teams to make tradeoffs around test coverage, product quality, cycle time, yield, cost, and schedule.
- Lead complex and ambiguous manufacturing test investigations, structuring problems, identifying technical and operational risks, and driving cross-functional teams to root cause and resolution.
- Own manufacturing test readiness and outcomes through factory bring-up and production ramp with manufacturing partners, including fixture qualification, calibration, correlation, troubleshooting, and continuous improvement.
- Analyze manufacturing and test data to identify systemic opportunities and deliver measurable improvements in yield, process capability, test coverage, quality, cycle time, and cost.
- Establish manufacturing test best practices, methodologies, and standards that improve execution quality and scalability across programs.
- Identify technical and execution risks proactively and drive mitigation strategies with engineering teams and manufacturing partners.
- Contribute to product and manufacturing roadmaps by identifying test technology, infrastructure, and capability investments required for future products.
- Mentor engineers and provide technical guidance on test architecture, debugging, automation, and manufacturing test methodologies.
QUALIFICATIONS:
- Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical discipline.
- 10+ years of experience developing hardware test systems, automated test equipment, or manufacturing test solutions for high-volume consumer electronics or similarly complex products.
- Demonstrated experience independently owning manufacturing test strategy and execution from product development through NPI, ramp, and mass production.
- Proven ability to lead complex, ambiguous technical initiatives and drive outcomes across multidisciplinary engineering and operations teams.
- Deep understanding of electronics, instrumentation, measurement systems, and communication protocols such as UART, I²C, SPI, USB, Bluetooth, and NFC.
- Experience designing electronic circuits and PCBAs using tools such as Altium Designer.
- Strong proficiency in Python for developing automated manufacturing test applications; experience with C/C++ or other systems languages is a plus.
- Extensive experience designing, validating, and debugging manufacturing test fixtures, instrumentation, and production hardware.
- Strong understanding of manufacturing test methodologies and data analysis, including test coverage, calibration, correlation, GR&R, process capability, yield analysis, and failure analysis.
- Extensive experience working with CMs and JDMs, including factory bring-up, NPI, production ramp, and sustaining support.
- Demonstrated ability to influence technical decisions, align stakeholders, and communicate effectively across engineering, operations, and leadership.
- Track record of delivering measurable improvements in manufacturing quality, yield, efficiency, test coverage, or cost.
- Experience mentoring engineers and improving engineering practices within a team.
- Ability to travel up to 15%, both domestically and internationally.
- Strong commitment to leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $180,000.00 - $215,000.00 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.
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