Location: San Francisco
NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads https://pplx.ai/newgrads).
ABOUT THE ROLE
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index.
This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school.
WHAT YOU WILL DO
- Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them.
- Ship to production continuously. New engineers typically have code in front of users in their first week.
- Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong.
- Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives.
- Raise the quality bar on reliability, latency, and craft for the surfaces you own.
- Work directly with designers, PMs, and research engineers, without unnecessary process in between.
WHAT WE LOOK FOR
- 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale.
- Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend.
- Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software.
- Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec.
- Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building.
NICE TO HAVE
- Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one.
- Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use.
- Product taste. You can tell a good interface from a bad one and explain how to improve it.
- A public track record we can read, such as GitHub, a technical blog, or a demo we can try.
Location: San Francisco
NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads https://pplx.ai/newgrads).
ABOUT THE ROLE
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index.
This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school.
WHAT YOU WILL DO
- Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them.
- Ship to production continuously. New engineers typically have code in front of users in their first week.
- Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong.
- Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives.
- Raise the quality bar on reliability, latency, and craft for the surfaces you own.
- Work directly with designers, PMs, and research engineers, without unnecessary process in between.
WHAT WE LOOK FOR
- 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale.
- Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend.
- Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software.
- Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec.
- Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building.
NICE TO HAVE
- Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one.
- Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use.
- Product taste. You can tell a good interface from a bad one and explain how to improve it.
- A public track record we can read, such as GitHub, a technical blog, or a demo we can try.
Location: Remote-Texas; Remote-Florida; Remote-North Carolina; Remote-Arizona; Remote-South Carolina
Workplace: Remote
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
YOUR MISSION
Do you see opportunities where AI, automation, and intelligent agents can transform how work gets done? Are you passionate about helping healthcare organizations improve member experiences, reduce administrative burden, optimize costs, and accelerate operational outcomes?
At UiPath, we are redefining enterprise automation through Agentic Automation—bringing together AI agents, robots, people, and enterprise systems to orchestrate end-to-end business processes. As a Healthcare Sales Engineer focused on our Payer domain, you will serve as a trusted advisor to health plans and payer organizations, helping them identify, design, and scale transformative solutions that improve operational efficiency, compliance, and member outcomes.
You will partner with executives, business stakeholders, and technical teams to uncover opportunities where AI and automation can drive measurable business value while positioning UiPath as the strategic platform for enterprise transformation.
WHAT YOU'LL DO AT UIPATH
- Serve as a strategic advisor to healthcare organizations with an emphasis on payer organizations, helping them identify opportunities to improve business outcomes with Agentic Automation and AI-powered process transformation.
- Evangelize the value of combining AI agents, automation, process intelligence, and human expertise to optimize complex healthcare operations.
- Partner with account teams to develop account strategies, identify growth opportunities, and align UiPath solutions to customer priorities and business objectives.
- Conduct discovery workshops with business and technical stakeholders to understand current-state operations, process challenges, and transformation opportunities.
- Leverage process intelligence methodologies to identify inefficiencies, quantify value potential, and build automation roadmaps.
- Design and deliver compelling demonstrations, executive presentations, and proof-of-value engagements that showcase UiPath’s platform capabilities.
- Architect solutions that combine AI, automation, orchestration, document understanding, and agentic workflows.
- Collaborate with Product + Engineering, Customer Success, and Industry Solution teams to ensure customer feedback influences product innovation and solution development.
- Develop industry-specific solution narratives and use cases tailored to healthcare priorities.
- Support technical evaluations and guide customers through architecture, security, governance, scalability, and deployment discussions.
- Act as a thought leader within the healthcare payer market and represent UiPath at customer meetings, industry events, and executive briefings.
- Share best practices, lessons learned, and industry insights across the UiPath go-to-market organization.
WHAT YOU'LL BRING TO THE TEAM
- Deep expertise in Healthcare Payr operations, including areas such as:
- Claims management
- Prior authorization
- Utilization management
- Care management
- Provider data management
- Enrollment and eligibility
- Risk adjustment
- Revenue integrity
- Appeals and grievances
- Customer/member service operations
- Experience helping healthcare organizations improve operational performance through technology-driven transformation initiatives.
- Ability to connect business challenges with technical solutions and articulate measurable business value.
- Strong understanding of AI, automation, enterprise applications, and modern technology architectures.
- Experience leading consultative discovery conversations with executive, business, and technical stakeholders.
- Demonstrated ability to simplify and communicate complex technical concepts to both technical and non-technical audiences.
- Knowledge of continuous improvement methodologies, operational excellence frameworks, and process transformation practices.
- Experience working with large enterprise organizations in complex, highly regulated environments.
- Background in sales engineering, consulting, solution architecture, digital transformation, intelligent automation, or related fields.
- Intellectual curiosity, adaptability, and a passion for continuous learning.
- Strong collaboration and relationship-building skills.
- Requires up to 25% travel
- Candidates must be authorized to work in the United States for this role
#LI-KS6
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
Grafana Labs is looking for an
Strategic Account Executive, Growth
who will be responsible for prospecting and growing existing business across the
West region
. You will identify, nurture and close opportunities with existing customers. You will manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking about our products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Customer Success team.
What You’ll Be Doing:
Identify new opportunities to expand Grafana usage within a set of current customers
Meet and exceed individual quarterly and annual sales goals
Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, negotiations and account management)
Cultivate sales through outbound prospecting and inbound leads
Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise
Become an expert in managing your sales pipeline in Salesforce
Manage quote creation, order processing, and day-to-day customer requests
What Makes You a Great Fit:
5+ Years of Experience in Infrastructure Technology Sales
Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer)
Energetic, upbeat, entrepreneurial, tenacious team player
Adaptable and with demonstrable experience in high velocity technology companies
Experience using Salesforce
You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually
Bonus Points For:
Familiarity with open source technology is a significant advantage
Experience using Command of the Message and MEDD(P)ICC is ideal
Compensation & Rewards:
In the United States, the OTE (On-Target Earnings) compensation range for this role is $32
0,000 - $340,000.
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: USA (Remote); Canada (Remote)
Workplace: Remote
Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value.
Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact.
We’re looking for a Senior Security Engineer to help protect the Sui ecosystem. You’ll uncover vulnerabilities, build monitoring tools, and assess economic risk across DeFi protocols. Working closely with external protocol teams and Mysten’s own DeFi products, including DeepBook, you’ll help address risks before they become incidents and strengthen security across the ecosystem
Responsibilities
- Build and run continuous monitoring of the Sui DeFi ecosystem for security and economic risk: oracle issues, misconfigurations/bad economic parameters, solvency and bad-debt exposure under price shocks, liquidation capacity against on-chain liquidity depth, accounting-versus-positions reconciliation, invariants.
- Extend security team tooling, both precise static analysis tooling and proprietary agent skills.
- Measure and drive compliance with the DeFi security recommendations across supported protocols: run the recurring compliance cycle, fill the protocol report card, validate security claims (audits, custody, upgrade governance, oracle dependencies) against on-chain reality, track remediation commitments, and escalate when a protocol regresses or fails to disclose an incident. Partner with the ecosystem and finance owners of the process.
- Hunt for critical vulnerabilities in the highest-TVL Sui protocols and get them fixed before they are exploited: full-package audits, variant analysis across forks, pre-execution review of multisig upgrade payloads, and forensics after incidents anywhere in the ecosystem.
- Be the security team's point of contact for external DeFi teams and for Mysten's own DeFi products such as DeepBook: due diligence, incident coordination, and post-mortems that feed back into the recommendations and the monitors.
- Write it down: findings, reports, and runbooks that a protocol engineer can act on and a non-technical stakeholder can understand, with every claim traceable to bytecode, chain state, or data.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 3+ years of hands-on experience in security engineering, smart contract security, or DeFi risk engineering, with a track record of building tools that ran in production and of finding real vulnerabilities (audit findings, bug bounty reports, published research, or incident work).
- Strong understanding of DeFi mechanics and their failure modes: lending markets (LTV, liquidation thresholds and bonuses, close factors, bad debt), AMMs and concentrated liquidity, perpetuals, liquid staking, oracles (staleness, confidence, TWAP, multi-source aggregation), flash loans, and MEV.
- Proficiency in TypeScript and Python, and comfort with Rust. Ability to write SQL over large datasets and to work with blockchain indexers and data warehouses.
- Experience reading smart contract code at source or the bytecode or disassembly level, or evident ability to learn it quickly. Move experience is a plus, not a requirement; Solidity or Rust smart contract experience transfers.
- Rigor: you verify claims against bytecode and chain state, build known-clean checks into your tools, and say what you did not verify.
- Strong written and verbal communication, including the ability to influence external teams you have no formal authority over
- Interest in the web3 space is required.
Preferred Qualifications
- Sui and Move experience: the object and capability model, package upgrades and version gates, programmable transaction blocks, the Sui GraphQL and gRPC APIs.
- Knowledge of the recent DeFi exploit history on Sui and other chains: named incidents, oracle compromises, and the defect classes behind them.
- Experience building analysis or monitoring tools with LLM agents (Claude Code skills or comparable), and a clear sense of where models help and where deterministic tooling must do the work.
- Static or dynamic program analysis experience: taint analysis, call graphs, symbolic execution, fuzzing, formal verification.
- Quantitative or economic modeling experience: stress testing, liquidity modeling, risk parameters for lending markets.
- Publications, conference talks, CVEs, or bug bounty rankings.
Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information.
Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers.
To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.
Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!
Location: Remote; Seattle, WA; London; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
Open to hiring remote across North America and London — we also have offices in NYC, San Francisco, Seattle, and London.
We're building a tool that makes content creation easy and accessible for all types of creatives. Our users love it. Runway has an actively engaged and growing community of passionate artists and creators worldwide. And we're scaling the systems behind our support team so we can keep delivering delightful experiences as that community grows.
We're looking for a Support Systems Engineer who ships production code, not tickets and specs: someone who takes a fix from proposal to merged PR themselves. This role reports directly to the Head of Customer Experience.
WHAT YOU’LL DO
- Own the AI support agent, our ticketing system and other Support tools end to end: authentication (JWT), response logic, routing, escalation paths and tone, tested in staging before it sees live traffic
- Ship daily product changes that remove ticket volume. Recent example: extending automatic refund eligibility to one-click credit purchases, accidental upgrades and month-based proration on annual terms
- Build and maintain internal CX tooling as real software, not one-offs: scripts, jobs, dashboards, admin surfaces
- Run QA and evals with real test suites and pass/fail rubrics, plus monitoring and alerts for outages, bugs and volume spikes
- Own releases: staged rollouts, a regression suite before every ship, clear rollback criteria, a writeup when something reaches production
- Build the CX reporting the org runs on: volume, deflection, CSAT, reply and resolution time, escalation accuracy, agent spend. You own the correctness and availability of the queries.
- Build and stage the guardrails on refunds, account changes and anything touching money or PII, including the audit trail
- Keep the knowledge base accurate and structured for the agent to parse, and manage the handoff into the ticketing system
- Keep the CX roadmap and the coverage model current, sequenced against priorities set by the Head of CX, so gaps show up before they bite
- Run the day-to-day with our AI platform vendor: weekly working session, joint roadmap, issues filed with reproductions
- Carry signal across teams: Product and Engineering on bugs and rollouts, Customer Education on self-serve, community on Discord and the forums, GTM and Analytics on routing and reporting
WHAT YOU’LL NEED
- 5+ years in Customer Experience, Support Engineering or Support Operations, with real time spent writing code
- You ship production code in codebases you didn't write: read TypeScript, trace logic through someone else's service, put up a PR that survives review. Our stack is TypeScript and Node.js on AWS
- Hands-on experience building and tuning AI or LLM-powered support workflows: prompt and context engineering, routing, escalation design, evals
- SQL experience. You own the reporting, so you shouldn't be waiting on Analytics for it
- Code-level experience with a billing or payments API: invoices, prorations, refunds. A large share of consumer tickets live here
- Git, PR review, CI, staging and feature flags as your default way of working
- Real QA and eval experience: you can define rubrics, build test suites and calibrate against what good looks like
- Judgment about where a fix belongs, in code, in the agent or in the knowledge base
- A track record carrying signal between support, product and other functions and turning it into action
- Comfort managing your own work in a fast-moving environment, high ownership and high autonomy
- Genuine interest in AI, creative tools or both
WHAT SETS YOU APART
The most successful person in this role treats the agent and the systems around it like a product they own. They watch where it fails, ship the fix and check whether it worked. They build reporting people actually use. And they show up with improvements no one asked for yet.
FOR YOUR APPLICATION
During our interview process, you'll have several chances to get acquainted with the Runway product and use all the features our team has built, and that starts now. As part of your application, instead of a cover letter, we ask that you try out the Runway product, specifically build a custom workflow.
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Remote, Canada; 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 Senior Developer Advocate at GitLab, you'll help technical audiences understand and use our intelligent orchestration platform where teams and their AI agents ship secure software faster. You'll go deep on the product, especially GitLab Duo Agent Platform and our newer capabilities, and continuously discover real-world workflows that teams care about. You'll turn that hands-on knowledge into demos, blog posts, videos, and presentations, and bring what you learn from customers and the developer community back to GitLab.
This role focuses on showing the product in action and building relationships with customers and the community. You'll help cover events and work across U.S. and Canadian time zones.
What you'll do
Deeply understand GitLab's platform, especially our AI agent capabilities, and continuously find productive, real-world use cases worth showing.
Create product content, including videos, blog posts, presentations, and social clips that show key use cases for GitLab in the user interface and terminal.
Produce video content end to end: script, record, and edit product walkthroughs and demos, and collaborate with GitLab's video team on longer or higher-production pieces.
Deliver product demos and participate in analyst briefings.
Engage with customers through webinars, customer meetings, and other conversations.
Participate in the developer community by engaging on the GitLab forum and Discord, following the conversations happening on social platforms, in newsletters, and at events, and making sure GitLab has a voice in the ones that matter.
Answer technical questions that come through the sales team, and partner with support, sales, and product on developer-facing educational content.
Use hands-on product experience to share feedback with product teams and test new features.
Contribute to technical research and analysis of the developer tools landscape.
Travel requirement up to 20% for events and customer meetings.
What you'll bring
Hands-on technical experience. You understand how software gets built, with a focus on everything that happens after code is written, and can talk about it credibly with engineers.
Understanding of artificial intelligence and its use in software development, from coding all the way to production. You have built and operated agentic systems and infrastructure.
The ability to explain technical products clearly. You can demo a product, record a walkthrough, or speak at a conference without it feeling forced.
Fluency in developer social platforms. You know what's interesting to the people we're trying to reach and can participate in the conversation with credibility.
Curiosity and self-direction. You're already finding the next thing worth talking about, following the right people, and noticing opportunities.
Experience engaging with customers, developers, or technical communities.
Ability to work independently and collaborate across sales, engineering, product, and other teams.
About the team
The Developer Advocacy team creates content that shows GitLab in use, engages with customers and the developer community, and brings hands-on product feedback to GitLab teams. The team also contributes technical research and analysis, while partnering with other groups to share its findings.
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
$115,200
—
$194,400 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: Utah | Hybrid
Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check.
AI at BambooHR
At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We’re actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we’re looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI’s potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR’s impact on setting people free to do great work. Join us in reimagining the future of HR!
Essential Job Duties
We're looking for a Staff Product Manager to make BambooHR the easiest HR platform to build on. You'll own the public developer surface end to end: the APIs, the SDKs, the developer portal, the documentation bar, and the connectors that put BambooHR inside the AI tools and marketplaces our customers already work in.
You'll serve three customers on one roadmap: partners, our customers' own developers, and AI agents. The partnerships organization owns the relationships and the commercial terms. This role decides what exists for them to sell, and partner-sourced revenue is now a company-level commitment.
This is a senior individual contributor role with no direct reports. You'll set the patterns the product managers building partner integrations work within, and you'll be the product voice in API and protocol decisions alongside senior engineers and architects.
You will:
Own the integration-category roadmap the partnerships organization sells against, making the build, co-build, or aggregate call for each one. Every committed category maps to something that exists, is dated, or was declined on the record.
Co-own category-level revenue assumptions with the VP of Partnerships. When partnerships commits to a number, you're accountable for the product plan underneath it.
Own the public API and SDK roadmap: what gets exposed, in what order, and to what standard, so partners can build without custom engineering support.
Run the developer portal as a product: self-service registration, authentication, app management, packaged integration patterns, and documentation good enough that nobody has to file a ticket.
Own BambooHR's presence in AI assistant ecosystems and marketplaces, including connector strategy built on open protocols such as MCP, the vendor submission and review relationships, and how AI agents act against the platform safely.
Carry launch readiness through third-party marketplace and app-review processes, treating external approval timelines as shipping commitments.
Set the API-first bar with internal product teams and own the review path new public capabilities go through, so they ship with public-grade contracts.
Work with security and identity teams on the authorization model for third parties and agents. What a partner or an AI assistant may see and do is a product decision you help make.
Guide the product managers building partner integrations, set the co-build patterns they work within, and arbitrate when partner demand and platform standards conflict.
Measure the ecosystem like a product: developer adoption, time to first integration, coverage of the categories partners ask for most, and the revenue they influence.
What You Need to Get the Job Done
You feel aligned with the BambooHR values
8+ years in product management on developer platforms, public APIs, or partner ecosystems, including a role where partner-sourced revenue was a company-level commitment.
Experience making and defending build-versus-partner-versus-aggregate economics calls.
You can hold a roadmap accountable to a revenue plan you share with a commercial organization that owns the relationships and the sellers.
Technical depth in API design and authentication patterns. You can read a spec, challenge an endpoint design, and make principled calls on versioning, scoping, and deprecation.
Comfort building on open protocols that change quarterly, where you're expected to become the company's expert on them.
You treat developers as customers. Documentation, onboarding, and support experience are product surfaces you own.
Proven ability to set standards and drive alignment across many teams without direct authority.
Enough credibility with senior engineers and architects to drive API and protocol decisions on your own.
Clear, direct communication with both technical and commercial audiences, up to and including executive review.
You identify the next constraint and move toward it without waiting for direction.
AI is already woven through how you work, not sprinkled on top of it. You use it to prototype more than you could before and to pressure-test your own thinking.
What Will Make Us REALLY Love You
Experience with AI agent protocols and assistant ecosystems such as MCP, or shipping connectors into third-party marketplaces.
Partner or marketplace ecosystem product management in a SaaS environment where partnerships carried a material share of revenue.
Familiarity with fine-grained authorization models for third-party and machine access.
Experience mentoring product managers as a senior individual contributor.
What You'll Love About Us
A
Great Company Culture
that has been recognized by multiple organizations like
Inc
, and
Salt Lake Tribune
Comprehensive health, life, and disability insurance
Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life
401k plans with up to 6% company match
$2000 Paid-Paid Vacation bonus
EAP through Headspace
Check out all our
benefits that benefit you
About Us
At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective.
We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office.
What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you.
BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process. If you would like to request accommodations, please let your recruiter know.
BambooHR is An Equal Opportunity Employer--M/F/D/V
Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired.
For information on California Privacy Policy,
click here
.
Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our
General Privacy Notice
and
California Privacy Notice
for more details.
See our
AI Guidelines for Candidates
for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.
Location: New York, NY (HQ); Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
We’re seeking someone to lead the future of fraud machine learning at Ramp. In this role, you will help build core machine learning models, design data architectures, and set strategic roadmaps to help Ramp mitigate fraud-related threats while minimizing the friction experience by legitimate users. You will partner closely with product and engineering counterparts across model design, implementation, execution, and analysis.
WHAT YOU’LL DO
- Employ statistical and machine learning techniques on large datasets to discover patterns of fraud, platform abuse, and identity theft
- Prototype and productionize machine learning models and rules-based systems to protect Ramp and its users from fraud
- Partner closely with Fraud Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make
- Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
WHAT YOU NEED
- Bachelor’s degree or above in Math, Economics, Physics, Computer Science, or other quantitative fields
- A minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
- Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and backend engineering
- Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems
- Strong knowledge of SQL (Snowflake, Postgres, etc.)
- Fluency with agentic (AI) tools for software development and data analysis
- Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
NICE-TO-HAVES
- PhD in Math, Economics, Physics, Computer Science, or other quantitative fields
- Context on Fraud and/or Identity Threat detection systems
- Experience at a high-growth startup
- Experience with the modern data stack ( Snowflake / Hex / dbt / RisingWave / etc )
- Strong perspective on data science + ML engineering development cycle, especially in a post-AI setting
- Experience developing LLM-backed systems or tools
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Workplace: fully
Role Overview
The Senior Product Designer is a hands on IC who’ll set the craft bar for our new flagship mobile money app, Ethena Pay. Ethena Pay is live on iOS with Android on the way. The app still needs more features and moments of delight that make the best apps a joy to use. Your core job is closing that gap. You'll hold Ethena Pay to the standard of the best-designed consumer products, in money and beyond.
You'll own a share of the product end to end, the design system and the brand outright. About 80% of your time goes to product design and the system. The other 20% goes to complementing marketing design, so the quality people see in the app also shows up where we meet them, in launch content, X and on the store pages. You'll report to the Head of Product and work as a peer to our existing Product Designer.
Role Responsibilities
Review the whole app and design system on iOS and Android. Turn what you find into a ranked plan for what to keep, fix or rebuild.
Set and ship a new design standard with engineering: a component library, a motion and interaction language (timing, springs, haptics, transitions) and rules for layout, type and states. Build it into the system so every screen gets it by default.
Design every state, not just the happy path: loading, pending, failed, limit reached, offline and "we don't know yet". Own the display rules for money so balances, rounding and pending vs settled amounts are always clear.
Create the voice of the app. Terminology, error copy that says what happened and what to do next.
Own the brand: write guidelines GTM can use without a designer, build partner co-branding and card artwork, and turn the app's best moments into X content, launch videos and store pages.
Bring Android up to the same bar. Put both apps on the same components, tokens, motion and states, and decide where Material applies and where the brand wins.
Raise the team's craft through critique and pairing, run lightweight research yourself, and help build the design practice as the team grows.
Required Skills and Experience
A track record and portfolio of world-class mobile app design: Not “I can do it”, but “I have done it and know how to do it better”! Several years designing shipped native apps whose design is a reason people use them.
Motion and interaction design at a high level: transitions, springs, gestures, haptics and micro-interactions, shown as prototypes or recordings and specified precisely enough for engineers to build to the frame.
Senior product design experience on a live neobank, payments, card or crypto money app where design is a competitive advantage (e.g. Revolut, Monzo, Wise, Nubank, Cash App, Plasma One), or other consumer mobile apps that stand out for their design (e.g. AirBnB).
A portfolio that shows states, not just hero screens, plus an honest account of what shipped compared with what was designed.
Evidence that you've raised a team's craft, not only your own: designers you critiqued or engineers you paired with got visibly better. Great if you've reviewed and rebuilt an existing app and its design system
Real brand and marketing work you made yourself, such as an identity or a significant extension of one, card artwork, or launch and social content built from the product. Motion work for marketing content will set you apart.
Agent-native design: you use AI tools (Figma MCP, Claude Code or equivalent) to speed up your work while holding the craft bar, and you know where they fail.
Location: Oakland, California, United States
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You'll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You'll Do
Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We're Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
#LIHYBRID
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$174,915
—
$209,906 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You'll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You'll Do
Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We're Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
#LIHYBRID
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$163,920
—
$196,712 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Ontario, Canada
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.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You'll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You'll Do
Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We're Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
#LIHYBRID
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$139,869
—
$167,849.50 CAD
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
Workplace: Remote
About Prefect
Prefect builds automation for an unpredictable world. The last decade of automation was about protecting workflows from unpredictability; in the agentic era, unpredictability is the point. Our mission is to give people confidence in automated work, whether that work is a mission-critical data pipeline or a fleet of AI agents.
In August 2026, Prefect and Dagster, competitors for eight years, joined forces to build the next generation of automation infrastructure. Today, our ecosystem includes Dagster, the data platform; Prefect, the agent platform; and FastMCP, the leading open-source developer framework for the MCP ecosystem. Together, our open-source and commercial products are trusted by Fortune 500 companies, data innovators, and high-growth technology companies around the world.
We think of our culture as the operating system of the company. We’ve carefully created a supportive, high-performance environment that empowers our team to do the best work of their careers, have meaningful impact, and continue growing personally and professionally. We’re a remote-first team that values high standards, ownership, and thoughtful collaboration.
ROLE SUMMARY:
Prefect acquired Dagster this summer. Our sales engineers now sell three things. Prefect Cloud. Dagster+. And the next generation of AI tooling we're building across both: governed access to tools and data for agents, and durable workflows where agents and humans do the work together.
We're also selling something that isn't on a pricing page. FastMCP, our open-source MCP framework, sits inside a lot of production agent stacks, so teams come to us for how the whole thing should fit: the data layer, the orchestration layer, the context layer, and how agents and humans operate across all three. Much of what a sales engineer does here is demonstrate the art of the possible.
You're a Senior Sales Engineer on the Prefect subject-matter-expert pod, reporting to Wayne Grigsby, Sales Engineering Lead. The pod sits alongside our Dagster pod, and both roll up to Director of Sales Engineering, who runs the function end to end, pre-sale and post-sale.
This is a pre-sales seat. You pair with account executives on new business from the first technical call to signature: discovery, tailored demos, proofs of concepts, security and architecture reviews, and the slow procurement stretch at the end. You'll work across the whole platform. Your job is to figure out how the pieces fit for a given customer, then prove it.
Location & Time Zone: This is a remote, U.S.-based role. We're prioritizing candidates in the Eastern and Central time zones to ensure strong coverage for customers across the U.S. East Coast and Europe. Candidates in other locations who can consistently support these working hours are also encouraged to apply.
WHAT YOU'LL DO:
- Own the technical side of enterprise deals. From discovery through close: advising prospects, presenting and demonstrating the value of our platforms from a technical perspective.
- Distill the use case. Most prospects don't arrive with a clean requirement. They arrive with a data platform, a pile of tools, a team of engineers and users expecting answers, and a budget. You figure out how our products fit together to solve for their use case, then help them validate the approach.
- Sell across the platform. A single conversation can span Prefect, Dagster, FastMCP, hybrid architecture, and AI governance, often with a team that knows where it wants to end up but not how to get there.
- Turn field signal into product direction. Sales engineers are the closest thing to a market pulse this company has. You'll carry what you hear into our GTM-engineering partnership channels, with evidence, and push when it matters.
- Build the things we sell with. Demo environments, architecture diagrams, competitive battlecards, contributions to our internal repos, personal projects, and the occasional blog post.
- Contribute and advocate for your ideas. Champion the culture, and keep projects from quietly failing. When something is going sideways, you say so early and you help fix it.
YOUR QUALIFICATIONS:
Five things. If you have these, apply, even if the nice-to-haves are thin.
1. 3+ years of engineering experience, building real solutions. Data engineering, DevOps, software engineering, data science: the discipline matters less than the fact that you've built something programmatically and shipped it. Python is our house language.
2. 2+ years in a customer facing role. Deep discovery skills and the habit of uncovering the real problem before proposing anything is key. You ask the second and third question, and you notice what the customer isn't saying.
3. Curiosity first, then creativity. You take things apart to see how they work, and you don't stop at the docs. Then you put the pieces together in ways nobody handed you: a new use case, a demo that didn't exist yesterday, a workaround the customer didn't know was possible.
4. You explain hard things clearly to engineers. What's required is that a senior platform engineer finishes a call with you and trusts you.
Nice to have:
- 2+ years of prior sales engineering experience.
- 2+ years of Enterprise infrastructure depth. In at least one major cloud (Azure, AWS, or GCP), and comfort with Kubernetes, networking, IAM, service mesh, and a production database like Postgres.
- Orchestration tooling as a user, builder, or seller: Prefect, Dagster, Airflow, Temporal, Step Functions, etc.
- Fascinated by AI and tinkering with MCP, agents, or LLM applications.
WHAT YOU'LL GET IN RETURN:
OTE Ranges :
- San Francisco Bay Area & NYC Metro: $252,000–$301,000 (OTE)
- Washington D.C., Boston, LA Metro, Seattle: $241,000–$280,000 (OTE)
- Denver, Chicago, Atlanta, & all other U.S. metros: $233,000–$279,000 (OTE)
Actual base salary within each range depends on the candidate's location, experience, and qualifications. Equity and benefits are not included in the range above. Your recruiter can share more about the salary range for your preferred location during the hiring process.
Perks and Benefits:
- Remote-first team with flexible-first culture
- Equity Stock Options
- 401(k) with 5% company match (vests immediately!)
- Unlimited PTO
- Medical, Dental and Vision insurance
- Generous Parental Leave
- Life Insurance and Disability benefits
- $800/month remote work stipend
And that's just the start — for more info check out our benefits and perks on our careers page.
BELONGINGNESS AT PREFECT:
Belongingness at Prefect is our commitment to ensuring mutual power, access, and opportunity among all groups and individuals who make up our community. We operationalize belongingness through actions large and small on a daily basis, but always with the goal that all groups and individuals can contribute as their most authentic self to the evolution of our product, our team, and our community.
Belongingness is also our commitment to bridge with individuals or groups not yet established in our community, acknowledge differences in a way that affirms distinct identities, and allows for a new, more expansive group identity to form.
EQUAL OPPORTUNITY AT PREFECT:
Prefect is an equal opportunity employer and encourages applications from people of all backgrounds. All applicants will be considered for employment without attention to race, religion, color, sex (including pregnancy, sexual orientation and gender identity/expression), national origin, disability or any other status protected under applicable federal, state, or local laws.
Delaney is a real live person (👋🏻) and is looking forward to learning more about you through your application.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Hindi speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Hindi speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Hindi, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Hindi and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Hebrew speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Hebrew speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Hebrew, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Hebrew and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Polish speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Polish speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Polish, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Polish and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
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УдалённоseniorLocation & Time Zone: This is a remote, U.S.-based role; We're prioritizing candidates in the Eastern and Central time zones to ensure strong coverage for customers across the U.S; Candidates in other locations who can consistently support these working hours are also encouraged to apply
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