Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
The Head of Strategic Partnerships & Ecosystem will manage and grow Render's most critical technology partner relationships. This role involves building and executing a comprehensive partnerships strategy — spanning AI ecosystem integrations, hyperscalers and early bets on emerging platforms — that drives meaningful distribution and growth for Render. These partnerships touch nearly every part of Render — Product, Engineering, DevRel, and Business Development — and often involve senior stakeholders at some of the largest and fastest-moving companies in AI, so doing this well means coordinating closely across those internal teams and keeping Render's leadership regularly informed.
The ideal candidate brings real technical depth in AI and developer tooling, paired with a proven background in partner management, strong relationship-building instincts, and the executive presence to engage with partner leadership at the highest levels. You should have a deep understanding of how to build and scale product-centric partnerships — from ecosystem integrations to platform-level bets — in a fast-moving, technical market.
WHAT YOU'LL DO
- Map Render's technology partnership landscape across AI labs, hyperscalers, and emerging developer products, and build the strategy for where Render has the strongest right to win.
- Own outcomes for the partnerships portfolio — set clear milestones, timelines, and success metrics (e.g., ecosystem integration, developer adoption, joint launches, revenue impact) and hold yourself accountable to them.
- Drive day-to-day partnership strategy and execution, taking deals from evaluation through negotiation, launch, and renewal, including commercial terms.
- Partner closely with Product, DevRel, and Product Marketing to secure roadmap and staffing commitments, drive integration execution, and run co-marketing — and work with Finance and Legal to structure and manage commercial agreements.
- Scope and lead our thinking on building out a Render Marketplace — including the value proposition to customers and key partners, product and engineering requirements, and commercial and financial terms.
- Own ongoing relationship management for key partners — acting as their primary point of contact, running business reviews and planning sessions, driving expansion and renewal over time, and serving as their internal advocate at Render.
- Bring operating rigor to the program: track and report on partnership performance, maintain clear documentation, and keep leadership updated on progress and upcoming launches.
- Build out a team of partner managers as we scale.
WHAT WE'RE LOOKING FOR
- 6–10+ years of experience in strategic or technical partnerships, business development, or product-facing roles at technology companies — ideally where partnerships were critical during a period of hypergrowth.
- A highly technical background is strongly preferred — former PM, forward-deployed engineer, or engineering experience, particularly within AI — so you can go deep with partner engineering and product teams on integration architecture, connectors, and protocols.
- Demonstrated success managing and growing complex, high-impact partnerships across AI, cloud, or developer platform ecosystems.
- Strong cross-functional operating skills, with experience working alongside Product, Engineering, DevRel, Legal, and Finance to execute complex initiatives.
- Exceptional analytical skills, with the ability to use data to drive strategic decisions.
- Outstanding communication, negotiation, and relationship-building skills, with the ability to engage at the executive level.
- Strong bias for action — comfortable operating both independently and as part of cross-functional teams, in a fast-moving environment with evolving priorities.
NICE-TO-HAVES
- Hands-on experience with MCP, plugins, connectors, or app/marketplace ecosystems specifically.
- Deep familiarity with the developer tools and infrastructure landscape, and a point of view on how emerging AI-native companies find distribution.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
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Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As a member of the Capacity Strategy & Operations team, you will sit at the intersection of supply intelligence, demand forecasting, and cross-functional execution, turning a complex, fast-moving hardware market into a predictable, reliable foundation for our customers and internal engineering teams.
This is not a purely analytical role. You will own the end-to-end capacity planning process: from translating customer commitments and growth forecasts into concrete supply requirements, to coordinating fulfillment across vendors, finance, and the infrastructure team, to building the systems that make all of this repeatable and scalable. When supply is constrained and tradeoffs are unavoidable, you are the person in the room who can model the options, make a clear recommendation, and drive alignment fast.
You are a strong fit if you have operated at the intersection of strategy and execution before — someone who is equally comfortable building a capacity model in a spreadsheet and running a cross-functional war room when a customer deployment is at risk.
EXAMPLE INITIATIVES
- Demand-Supply Alignment Framework: Build and own the process that translates customer pipeline, signed commitments, and growth projections into a forward-looking GPU demand signal — so the team is never caught flat-footed when a customer scales faster than expected.
- Constrained Allocation Playbook: Define the decision framework for how Baseten allocates scarce GPU supply across competing customers and regions, including escalation paths and tradeoff criteria for leadership.
- Capacity War Room Ownership: Lead cross-functional response when a high-stakes capacity situation arises — coordinating across Sales, SRE, Finance, and Vendor relationships to resolve it with minimal customer disruption.
- Strategic Briefings for Leadership: Produce clear, concise capacity health reports and scenario analyses for senior leadership, enabling confident decisions on customer commitments, vendor negotiations, and CapEx allocation.
RESPONSIBILITIES
- Own the capacity planning process end to end: intake, triage, prioritization, fulfillment tracking, and post-mortem learnings
- Translate customer commitments, sales pipeline, and infrastructure growth targets into concrete GPU demand forecasts across regions, GPU types, and timelines
- Partner with Finance to model capacity scenarios, evaluate new supply opportunities, and support CapEx decision-making
- Work closely with the Capacity Acquisition team to align supply procurement with forward demand, flagging gaps and risks early
- Coordinate cross-functionally across Sales, SRE, and Infrastructure teams to resolve capacity conflicts and ensure customer commitments are honored
- Build and maintain the operational cadence that keeps capacity planning structured, visible, and free of ad-hoc Slack chaos
- Develop reporting and dashboards that give leadership a real-time view of capacity health, utilization trends, and risk exposure
- Identify recurring operational gaps in the capacity lifecycle and drive process improvements that reduce toil and improve reliability
REQUIREMENTS
- 5+ years of experience in strategy, operations, consulting, finance, or a similarly analytical and execution-oriented role
- Demonstrated ability to own complex, cross-functional processes with multiple stakeholders and competing priorities
- Strong quantitative and modeling skills — comfortable building demand forecasts, scenario analyses, and capacity models from scratch
- Excellent communication skills, with a track record of distilling ambiguous situations into clear recommendations for senior leadership
- High ownership mindset: you identify what is broken, build the fix, and follow through until it is working
- Operates well under pressure and in ambiguous, fast-moving environments where the playbook does not yet exist
NICE TO HAVE
- Familiarity with GPU infrastructure, cloud platforms, or AI/ML ecosystem
- Experience in a high-growth startup or Series B+ environment where operational processes were being built from scratch
- Exposure to vendor or partner management, particularly in hardware, cloud, or infrastructure contexts
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence.
About the Role
We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites.
Location: In person 5 days/week in San Francisco, CA or New York, NY
What You'll Do
- Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm)
- Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites
- Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates
- Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards
- Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection
- Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems
- Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests
Example projects you might own
- A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants
- A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release
- A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake
What You'll Bring
- 3+ years of experience as a software engineer or infrastructure engineer
- Strong hands-on experience with Python and testing frameworks such as pytest
- Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability
- Solid understanding of API testing, mocking/stubbing, and data setup/teardown
- Comfort defining quality standards, writing test plans, and driving cross-team execution
Nice to Have
- Experience with load and performance testing tools such as k6
- Familiarity with observability tooling such as Datadog or OpenTelemetry
- Experience testing services running on Kubernetes and containerized environments
- Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management
- SQL fluency for validating data (Postgres, ClickHouse, BigQuery)
- Familiarity with Go, Node, or React for targeted white-box tests and improving system testability
Compensation
- Annual salary range: $165,000- $250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: United States (Remote)
Workplace: Remote
About Teleport
Don't wait for the future of infrastructure. Be part of it.
Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence.
Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world.
As the Solutions Engineering Manager, you will lead a team of mid-market Solutions Engineers who serve as the technical heart of our go-to-market motion. You will be the connective tissue between field sales execution, customer technical success, and global SE leadership; building a high-performing team that wins deals, earns customer trust, and provides a strategic interface back to Product, Engineering, and Marketing.
The Teleport Solutions Engineering team critically shapes our strategy, ensuring technical success throughout all stages of the customer journey.
You will lead and develop a technically proficient team of solutions engineers to deliver an exceptional customer experience.
We seek pragmatic, highly technical leaders excited about tackling tough technical challenges. You should be ready to travel to customer sites, eager to engage directly with problems, and capable of building and leading a high performing team.
What you'll be doing:
- Extend and develop a team of Solutions Engineers.
- Train, coach, mentor, and guide your team toward successful performance, career progression, and personal growth.
- Coach SEs on both technical depth and sales excellence, including discovery skills, business value articulation, POC strategy, and executive communication.
- Collaborate with engineering teams from some of the world's most sophisticated technology companies.
- Assist companies in enhancing their security, compliance, and development experience.
- Visit our customers on-site to demonstrate new features and construct solutions.
- Conduct structured 1:1s, set individual performance goals, and own career development plans for each SE on your team.
- Partner closely with regional sales leaders and Account Executives to balance SE utilization, prioritize opportunities, and drive technical win rates across the Americas and eastern Asia Pacific.
- Engage directly with customers at the executive and technical architect level to build long-term relationships and ensure technical success post-sale.
What you'll bring:
- Demonstrated experience managing a team of Solutions Engineers or technical customer-facing professionals, with a track record of developing talent and improving team performance.
- Strong command of the pre-sales motion: discovery, technical qualification, POC design, and connecting technical capabilities to business outcomes.
- Proven experience managing customer outcomes through various stages of the customer journey, from sales process to onboarding, adoption, and growth.
- Strong understanding of Linux networking and network security principles.
- Practical hands-on knowledge of modern cloud-native technologies including Kubernetes, Docker, and Terraform.
- Hands-on experience with at least one major public cloud provider: AWS, GCP, or Azure.
- Working knowledge of identity and access management concepts: SSO, OIDC, SAML, RBAC, mTLS, zero trust architecture, and PAM.
- Proven track record navigating complex infrastructure deployments at security-conscious enterprise organizations.
- Strong troubleshooting and debugging skills for server-side software and distributed systems.
- Fluency in English required; additional language proficiency (Korean, Japanese, Spanish, Portuguese) is a meaningful advantage.
Why Teleport
You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for.
Remote-first and globally distributed, we're genuinely passionate about what we're building.
The Benefits
At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career.
- Extensive health coverage
- Annual expense budget
- Rest and recovery policies that maximize your ability to recharge
- Investment in your future with retirement savings plans
- Professional development opportunities
Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law.
Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/
Location: Remote
Who we are
Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase.
With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once.
Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love.
If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us.
Hours & location
🌎 While we hire
almost anywhere
in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week.
Preferred locations:
USA
Why this job is exciting
Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The
Code Understanding
team owns the surfaces where that intelligence meets the developer:
Deep Search
, our agentic, multi-step answer engine across an enterprise's entire lineup of codebases,
Query Assist
, turning natural language queries into Sourcegraph query syntax,
Smart Hovers
, concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day.
Most of what makes those surfaces tick is
agent engineering
: a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the
staff ML and agent engineer on Code Understanding
, you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models.
This is a
staff-level role
: we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before.
Concretely, you'll own work like:
Agentic systems.
You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale.
Pragmatic use of evaluations.
Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence.
Models: selection, upgrading, and training.
You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call.
Retrieval and context engineering.
You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable.
Cost and latency.
Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably.
You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work.
📅 Within one month, you will…
Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval.
Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them.
Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next.
Join the team's on-call support rotation.
📅 Within three months, you will…
Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement.
Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them.
Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts.
📅 Within six months, you will…
Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions.
Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before.
Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them.
About you
You are a
staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems
. This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it.
You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship.
You have personally owned a production model lifecycle.
You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version.
You build agents, fluently and opinionatedly.
You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required.
You have strong evaluation judgment.
You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading.
You treat cost and latency as product constraints.
You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model.
You operate autonomously on ambiguous problems.
Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end.
You contribute beyond your domain.
As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives.
You up-level the people around you.
You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job.
You're customer and product-driven.
You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray.
You're pragmatic, not a perfectionist.
You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity.
On the engineering fundamentals:
You're a strong software engineer who can ship production services.
You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there.
You're fluent with agentic coding tools, and you understand and own every line it submits.
You're comfortable in an async-first, multi-service, fast-paced remote environment.
Nice-to-haves:
You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently.
You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production.
Experience with retrieval, ranking, embeddings, or search relevance.
Experience working directly with enterprise customers and translating their needs into a product.
Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency.
Level
📊 This job is an IC4. You can read more about
our job leveling philosophy
in our Handbook.
Compensation
💸
We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an
open and transparent
company, our
compensation philosophy
and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive.
Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone.
💰
The starting salary for the IC4 pay band in each zone is:
Zone 2: $176,000 USD
Zone 3: $132,000 USD
Zone 4: $88,000 USD
📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous
perks & benefits
.
Interview process
Below is the interview process you can expect for this role (you can read more about
the types of interviews
in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!
We expect the interview process to take 5.5 hours in total.
👋 Introduction Stage
- we have initial conversations to get to know you better…
[30m]
Recruiter Screen
[30m]
Hiring Manager Screen
🧑💻 Team Interview Stage
- we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…
[60m]
Resume Deep Dive
[60m]
System Design
[60m]
Harden a Code Research Agent Interview
[60m]
Cross-functional team collaboration
/
Values
🎉 Final Interview Stage
- we move you to our final round, where you gain a better understanding of our business and values holistically…
[30]
Leadership
We check references and conduct your background check
Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.
Learn more about us
You can learn more about what it is like to work at Sourcegraph by reading
our handbook
.
We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our
culture
,
competitive compensation
and
benefits
here.
Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds.
Sourcegraph participates in
E-Verify
for U.S. Employees.
Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker is launching a Professional Services organization to accelerate customer success, reduce time-to-value, and drive enterprise adoption for agentic workloads. As a Principal Solution Architect, you'll play a critical role in building and scaling this function. You will join a team of seasoned experts with deep experience backed by Docker's unmatched reach across Fortune 500 companies.
This is a high-visibility role working directly with senior leadership across revenue, product, marketing, and partner organizations. You'll shape service strategy, drive cross-functional alignment, and deliver offerings that accelerate both services revenue and platform expansion.
You'll serve as a trusted advisor to our largest and most strategic partners and enterprise customers, providing thought leadership on integrating Docker agentic solutions within enterprise environments.
RESPONSIBILITIES
Build and Scale the Professional Services Practice
- Develop and codify repeatable reference architecture patterns across Docker's core use cases including self-hosted and air-gapped deployments, MCP (model context protocol)/AI agent environments, IDP integrations, and secure supply chain workflows so that engagements scale consistently across customers and partners.
- Translate reference architectures into customer-facing technical collateral, SOW templates, and success patterns that reduce scoping time and improve delivery consistency.
- Collaborate with product, marketing, and revenue teams to integrate services into GTM motions and align delivery to Docker's AI platform roadmap.
- Identify offerings that drive product expansion, renewals, and long-term customer value.
- Support Partnerships & Alliances in selecting, onboarding, and enabling technical integration partners, system integrators (SIs), and service delivery partners.
Drive Strategic Customer Outcomes
- Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains.
- Lead technical discovery and architecture engagements that span enterprise integration layers
- Architect and deliver self-hosted Docker deployments within air-gapped, regulated, and complex enterprise environments including local image registry setup, offline toolchain configuration, and compliance-driven infrastructure design.
- Design and Guide customers through implementation of agentic AI toolchains, including MCP server/client architecture, tool orchestration, observability integration and secure deployment patterns aligned to Docker's AI platform.
- Position Docker as a strategic and thought leadership partner, influencing long-term technology adoption and investment decisions.
- Directly deliver or assign and oversee appropriate delivery partners to execute service engagements and ensure technical objectives are met.
Enable Cross-Functional Success
- Drive alignment and decision-making across multiple stakeholders and teams without direct reporting lines.
- Translate field insights including enterprise integration patterns, IDP/SSO friction points, observability gaps, and AI deployment challenges into actionable product and services strategy, roadmap, and partner capabilities.
QUALIFICATIONS
REQUIRED
- 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm.
- Demonstrated experience architecting and deploying self-hosted and air-gapped deployment architectures: local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints common in regulated industries.
- Enterprise integration experience across Identity Providers (Okta, Azure AD, LDAP/Active Directory) and federated identity protocols (OIDC, SAML, SSO), including RBAC design within complex, multi-tenant enterprise environments.
- Working knowledge of Model Context Protocol (MCP) and its application to agentic AI toolchains including MCP server/client architecture, tool and resource orchestration, and secure containerized deployment patterns.
- Hands-on experience with AI/ML workflows, LLM deployment, and agentic AI architectures in enterprise environments with awareness of Docker's AI platform roadmap including AI agent containerization, model provenance, and AI supply chain security.
- Deep understanding of container and software supply chain security: Docker Hardened Images (DHI), Secure Supply Chain (SSC), SBOM generation, image signing and attestation, vulnerability management, and runtime governance.
- Excellent facilitation and stakeholder management skills; able to lead executive-level architecture conversations and influence senior stakeholders without formal authority.
- Direct experience delivering high-quality services engagements that achieve customer value while meeting revenue and ARR growth targets within a revenue organization.
- Recognition by enterprise customers as a strategic technical advisor.
BONUS
- Experience architecting AI platforms in large enterprise environments LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chain patterns.
- Background enabling system integrators, consultancies, or partner ecosystems.
- Consulting experience with Fortune 500 clients in highly regulated sectors such as financial services, healthcare, or government.
- Led AI security architecture engagements that addressed model provenance, artifact signing, and supply chain integrity for containerized AI workloads including secure MCP server deployment, tool and resource access controls, secrets management within agentic pipelines, and runtime isolation patterns for LLM-based applications.
WHAT TO EXPECT
FIRST 30 DAYS
- Onboard to Docker's mission, values, and operating model.
- Deeply familiarize yourself with our product portfolio, AI platform roadmap, and strategic customers.
- Build strong partnerships with Product, Engineering, and Sales functions.
- Plug into the team's rhythm of business (standups, reviews, shadow customer engagements).
FIRST 90 DAYS
- Scope, define SOWs, delivery, and oversight of customer service engagements.
- Participate in the creation of reference architectures for key use cases..
- Participate in initiatives to build out and improve the services department's offerings.
ONE-YEAR OUTLOOK
- Successful delivery and oversight of customer service engagements.
- Contribute materially to the build-out of Docker's service offerings across AI, security, and enterprise integration practices.
- Institutionalize continuous improvement by providing field feedback including enterprise integration patterns, deployment blockers, and observability gaps to the product team.
Docker does not offer visa sponsorship for this role.
Compensation & Equity
Canada: CA$238,000– CA$340,000 + equity
United States: $171,500 – $245,00 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Brazil; Peru; Sweden; Colombia; Argentina; Romania; Malta; Slovenia; Lithuania; Czech Republic; Estonia; Hungary; Mexico; Chile; Poland; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The Pro Verifications team decides whether a business signing up on the Pro side is who it says it is, and whether we're allowed to onboard it. That means figuring out who actually owns the business, running it against sanctions and watchlists, and doing all of it fast enough that a real customer doesn't lose patience and leave. Every Pro customer hits these systems, so slow or wrong is very visible — and the team is early, which means whoever joins gets to decide how a lot of it works instead of inheriting it.
How We Work
- We deploy constantly, almost always behind a flag, in pieces small enough to pull back fast.
- Security and compliance show up at design time, not as a gate at the end.
- Every story is tied to a metric it's meant to move — if work isn't on the board, it doesn't get staffed.
- At this level, you're expected to shape these standards, not just work inside them.
THE OPPORTUNITY
As a Staff Engineer on Pro Verifications, you'll own the technical direction for how verification is built here — the architecture, the patterns other engineers work inside, and the calls about what we own versus what we lean on a vendor for. You'll be hands-on across the stack, drive out entire classes of recurring failure rather than patching them one at a time, and design the fail-closed and audit behavior that keeps regulators satisfied.
This is a high-impact, hands-on technical leadership role for engineers who've built where being wrong has real consequences, and who want to shape a system that stays fast, safe, and defensible as it grows.
- Set the shape of the verification services and their contracts across the KYC/KYB flow.
- Decide how we abstract KYC and KYB vendors so a bad provider day doesn't turn into an outage.
- Design fail-closed behavior and audit trails that hold up under regulatory scrutiny.
- Identify the classes of failure that keep recurring and remove them for good.
- Write and drive architecture decisions (ADRs), and hold the line on security and compliance at design time, not as a late gate.
- Mentor and raise the bar for senior engineers through design reviews, code, and direct feedback.
- Be measured on whether verification gets faster, more of it decides itself, fewer decisions are wrong, and the systems stay up — and on whether the team got stronger for you being on it.
WHAT YOU BRING
- Around eight years building and running production systems, with a track record of owning a domain's technical direction, not just delivering inside one.
- Deep, fluent expertise in Rust, with the versatility to work across TypeScript and React where verification meets the customer.
- You've set architecture other people build on, and it held up — you can point to specific classes of failure you designed out, not just incidents you fixed.
- You've made teams faster through patterns, tooling, or mentoring — engineers around you got better and shipped more because of calls you made.
- You've built where being wrong had real consequences: compliance, payments, security, or anywhere a bad call costs more than a rough user experience.
- Strong on distributed systems, service contracts, and secure design — you've integrated third-party APIs that couldn't be trusted, with real timeouts, retries, idempotency, circuit breakers, and backup paths that actually get tested.
- Comfortable with, or able to quickly ramp on, gRPC, Temporal, Docker, Kubernetes, Terraform, MySQL/MariaDB, Redis, and GitLab CI.
NICE TO HAVES
- Direct experience with KYC, KYB, or fraud work, including integrating providers like Trulioo, Persona, or ComplyAdvantage.
- Comfort building with AI in the loop.
- Time spent in crypto, fintech, or another space regulators pay close attention to.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
О проекте
Приглашаем DevOps / SRE инженеров в команду сопровождения бизнес-приложений. Предстоит заниматься сопровождением крупной корпоративной системы на базе ELMA365 и связанных с ней сервисов и интеграций.
Команда DevOps отвечает за инфраструктурную часть: Kubernetes, CI/CD, развёртывание приложений и сопровождение релизов. Поддержка непосредственно коробочного решения ELMA365 осуществляется на стороне вендора. Это расширение существующей команды. Рассматриваем специалистов уровня Middle / Middle+ / Senior. В приоритете опытные и самостоятельные инженеры.
Задачи:
— сопровождение Kubernetes-кластеров;
— развёртывание приложений и сервисов на стендах;
— раскатка и обновление релизов;
— настройка и сопровождение CI/CD-процессов;
— разработка и поддержка Jenkins pipelines;
— работа с Helm;
— выполнение change-задач;
— сопровождение существующей инфраструктуры;
— диагностика проблем в работе приложений и сервисов;
— анализ логов и состояния сервисов;
— участие во второй линии поддержки;
— взаимодействие с разработчиками, системными администраторами, архитекторами, инфраструктурными командами и другими смежными подразделениями;
— автоматизация рутинных операций;
— подготовка и актуализация технической документации.
Технологический стек:
Основной стек:
Kubernetes 1.33 Cloud;
Helm;
Jenkins / CI/CD;
Linux;
Docker.
Также используются:
Ansible;
Nexus / Docker Registry;
Bitbucket;
Zabbix;
Grafana / Prometheus;
ELK;
Jira / Service Desk.
Требования
— коммерческий опыт работы DevOps / SRE;
— уверенное практическое знание Kubernetes;
— опыт самостоятельного развёртывания и настройки Kubernetes-кластеров;
— опыт deployment приложений в Kubernetes;
— уверенное владение Helm;
— опыт работы с CI/CD;
— практический опыт работы с Jenkins;
— знание Linux на уровне администратора;
— понимание принципов работы микросервисных и клиент-серверных приложений;
— способность самостоятельно разбираться в проблемах и доводить задачи до результата;
— хорошие навыки коммуникации и взаимодействия со смежными командами.
Будет преимуществом:
— умение самостоятельно писать Dockerfile;
— опыт автоматизации с помощью Ansible;
— опыт работы с Nexus / Docker Registry;
— Bitbucket;
— Prometheus / Grafana;
— Zabbix;
— ELK;
— опыт работы с enterprise-приложениями;
— использование генеративных AI-инструментов в работе;
— опыт создания AI-агентов.
Команда и формат работы:
Вы будете работать в команде DevOps из 14 специалистов.
За отдельными системами закреплены свои DevOps-инженеры. В работе также участвуют отдельные команды инфраструктуры, системного администрирования, информационной безопасности и архитектуры.
Работа организована по задачам: дейлики, спринты, change-задачи и сопровождение систем.
Дежурств и on-call в рамках позиции нет — за реагирование на алерты и инциденты отвечает отдельное подразделение.
Условия:
— полностью удалённая работа из любой точки РФ;
— общие очные встречи команды ориентировочно 1 раз в квартал;
— официальное оформление;
— ДМС с первого дня;
— льготные ипотечные условия кредитования;
— корпоративная пенсионная программа;
— скидки на продукты компаний-партнёров;
— обучение за счёт компании: онлайн-курсы, корпоративная библиотека, корпоративный университет, тренинги и митапы;
— возможность профессионального развития и получения новой квалификации.
Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE:
We're hiring a Product Partnerships Manager to own Replit's most important strategic partnerships end-to-end: from identifying the opportunity to shipping the outcome and measuring the impact.
This is a product-focused role where you will work with our consumer technology partners, such as Stripe, Shopify, Google, and the broader connector ecosystem. You'll work at the intersection of product strategy, ecosystem thinking, and deal execution. You'll need to be a serious Replit power user. You'll speak credibly with engineers. You'll negotiate with senior partner stakeholders. And you'll be the person accountable for turning ambiguous ecosystem opportunities into shipped product and business outcomes.
WHAT YOU'LL DO
- Develop a clear point of view on Replit's partner landscape and build a prioritized pipeline of high-leverage opportunities across consumer tooling, AI tooling, cloud and infrastructure, and payments technology partners.
- Lead partner conversations from early exploration through joint product thesis, business case, commercial terms, launch plan, and post-launch iteration.
- Partner with Product, Engineering, Partner Engineering, Legal, Finance, Marketing, and Sales to turn agreements into shipped outcomes.
- Work directly with Partner Engineers to scope integrations, demos, prototypes, reference apps, and partner enablement assets.
- Define success metrics before every launch activation: retained usage, apps created, deployments, revenue, partner-sourced users, and use them to decide when to scale, iterate, or sunset a partnership.
- Build lightweight operating systems: partner scorecards, launch checklists, partner roadmap tracking, and repeatable frameworks for evaluating new opportunities.
- Represent the partner internally with strong product judgment; inform roadmap changes only when they create clear leverage for Replit users.
WHO YOU ARE
You're probably one of these:
- A product partnerships or BD person from a developer platform, AI platform, API company, cloud platform, or builder tool.
- A former PM or founder who can sell and negotiate externally while staying close to the product.
- A technical ecosystem operator who has shipped integrations, partner programs, or AI-native workflows.
In all cases, you're a builder. You can open Replit and put together a credible demo. You're not expected to write production integration code but you need enough technical depth to scope the work, ask the right questions, and earn trust with engineers.
REQUIRED SKILLS & EXPERIENCE
- Experience sourcing, structuring, negotiating, and launching strategic partnerships.
- Strong product judgment: you can explain why a partnership should or shouldn't influence the roadmap.
- Technical fluency with APIs, auth, cloud and deployment, databases, LLMs, agents, and developer workflows.
- Hands-on familiarity with Replit or comparable AI-native developer tools; ability to build credible demos and prototypes.
- Ability to run an ambiguous, multi-party process from discovery through signed agreement, launch, and measurement.
- Credibility with both senior external partners and internal engineers.
- Strong written and verbal communication.
BONUS QUALIFICATIONS
- Background in AI, developer tools, cloud infrastructure, API companies, or creative/productivity software.
- Experience with MCP-style integrations, agent workflows, or AI model/tooling ecosystems.
- Founder, PM, DevRel, solutions engineering, or technical BD background
This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
Location: Hiring in San Francisco, New York City, Austin and Chicago
We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.
This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.
How to be successful in this role:
- 4+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
- Strong track record of sourcing, qualifying, and closing outbound deals
- Execution mindset: you excel in fast-paced environments and move with urgency
- Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.
- Self-starter and resourceful; you find ways to solve problems and move things forward
Compensation & Benefits:
- Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, life insurance, lunch & dinner for employees in our SF and NYC offices, and more
- Annual salary: $280,000 OTE
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: NYC (SoHo)
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
As a Premium Support Engineer at Replit, you’ll be the front line for our highest-value customers — delivering fast, expert, and reliable technical support when it matters most. You’ll handle complex product issues, guide customers through critical incidents, and ensure every interaction meets the highest standard of quality and speed.
Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You’ll play a critical role in shaping how Premium Support adapts to new products, new customer expectations, and AI-assisted workflows, operating effectively in ambiguity and driving clarity for your team.
You’ll combine deep technical troubleshooting with calm, confident communication to keep builders moving — whether it’s an enterprise team deploying at scale or a top-tier developer relying on Replit to power their business.
IN THIS ROLE YOU WILL:
- Provide swift, high-priority support to Premium customers, responding within strict SLAs.
- Diagnose, reproduce, and resolve complex technical issues across the Replit platform.
- Escalate and track high-impact issues with Product and Engineering, ensuring timely fixes and transparent communication.
- Lead customer-facing communications during outages or incidents.
- Identify recurring issues and collaborate internally to reduce time-to-resolution.
- Contribute to internal tooling, automation, and documentation that improves team efficiency.
- Partner with Engineering, Product, Sales and other internal teams to ensure Premium customers receive a consistent, high-quality experience.
- Help onboard and mentor other support engineers, raising the team’s overall bar for responsiveness and quality.
REQUIRED SKILLS AND EXPERIENCE:
- 3+ years in technical support, developer support, or systems engineering.
- Experience providing rapid-response support to high-value or enterprise customers.
- Strong debugging skills with JavaScript, Python, or similar languages.
- Excellent written and verbal communication under time pressure — able to convey technical concepts clearly and calmly.
- Familiarity with support tools like Zendesk, Linear, Slack, and internal debugging utilities.
- Proven ability to manage multiple high-priority issues simultaneously while maintaining accuracy and composure.
- A proactive, ownership-driven mindset and genuine empathy for customers building on Replit.
NICE TO HAVE:
- Has used Replit in the last 3 to 6 months.
- Experience working with IDEs, terminals, or other common developer tools.
- Experience with AI tools (Claude, ChatGPT, etc.)
WHAT WE VALUE:
- Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
- Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
- Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
- Continuous learning: Passion for staying current with industry best practices and new technologies
- Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems
This is a full-time role that can be held from our NYC office. The schedule follows a Saturday through Wednesday work week, with an in-office requirement on Mondays and Wednesdays.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
As a Premium Support Engineer at Replit, you’ll be the front line for our highest-value customers — delivering fast, expert, and reliable technical support when it matters most. You’ll handle complex product issues, guide customers through critical incidents, and ensure every interaction meets the highest standard of quality and speed.
Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You’ll play a critical role in shaping how Premium Support adapts to new products, new customer expectations, and AI-assisted workflows, operating effectively in ambiguity and driving clarity for your team.
You’ll combine deep technical troubleshooting with calm, confident communication to keep builders moving — whether it’s an enterprise team deploying at scale or a top-tier developer relying on Replit to power their business.
IN THIS ROLE YOU WILL:
- Provide swift, high-priority support to Premium customers, responding within strict SLAs.
- Diagnose, reproduce, and resolve complex technical issues across the Replit platform.
- Escalate and track high-impact issues with Product and Engineering, ensuring timely fixes and transparent communication.
- Lead customer-facing communications during outages or incidents.
- Identify recurring issues and collaborate internally to reduce time-to-resolution.
- Contribute to internal tooling, automation, and documentation that improves team efficiency.
- Partner with Engineering, Product, Sales and other internal teams to ensure Premium customers receive a consistent, high-quality experience.
- Help onboard and mentor other support engineers, raising the team’s overall bar for responsiveness and quality.
REQUIRED SKILLS AND EXPERIENCE:
- 3+ years in technical support, developer support, or systems engineering.
- Experience providing rapid-response support to high-value or enterprise customers.
- Strong debugging skills with JavaScript, Python, or similar languages.
- Excellent written and verbal communication under time pressure — able to convey technical concepts clearly and calmly.
- Familiarity with support tools like Zendesk, Linear, Slack, and internal debugging utilities.
- Proven ability to manage multiple high-priority issues simultaneously while maintaining accuracy and composure.
- A proactive, ownership-driven mindset and genuine empathy for customers building on Replit.
NICE TO HAVE:
- Has used Replit in the last 3 to 6 months.
- Experience working with IDEs, terminals, or other common developer tools.
- Experience with AI tools (Claude, ChatGPT, etc.)
WHAT WE VALUE:
- Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
- Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
- Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
- Continuous learning: Passion for staying current with industry best practices and new technologies
- Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems
This is a full-time role that can be held from our Foster City, CA office. The schedule follows a Saturday through Wednesday work week, with an in-office requirement on Mondays and Wednesdays.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
On-site position in San Francisco, CA, USA.
Fixed-term contract for 12 months.
О проекте i-Line — мобильное приложение, которое решает проблему долгого ожидания в очередях на автомойках. Наш сервис предлагает модель «живой очереди», где:
Автовладельцы могут:
- выбрать автомойку на карте;
- увидеть текущую очередь;
- забронировать место;
- оплатить онлайн;
- отслеживать статус своей очереди.
Для автомоек:
- система управления очередью;
- CRM-функционал — возможность записывать автомобили в очередь вручную;
- аналитика;
- расчёт зарплаты мойщиков.
Статус проекта Проект уже собран и развёрнут на сервере. Сейчас находимся на стадии багфиксинга и подготовки к запуску . После исправления основных ошибок:
- подключаем эквайринг;
- проводим финальное тестирование;
- отправляем мобильные приложения в App Store и Google Play.
- Фронтенд и backend уже существуют, билд собран, поэтому задача не в разработке MVP с нуля, а в том, чтобы разобраться в существующем backend, исправить ошибки и довести проект до стабильного production-состояния.
Задачи:
— Аудит существующего Django backend; поиск и исправление багов; особое внимание блокам «CRM» и «Мойщики» ;
— проверка и исправление алгоритма расчёта очереди;
— интеграция и финальная настройка backend ↔️ Flutter там, где это потребуется;
— подключение платежной системы Freedom Pay ;
— тестирование;
— подготовка к production и деплой;
— дальнейшая техническая поддержка проекта в течение 12 месяцев.
Срок основной доработки MVP — 3 месяца.
Требования:
— Middle Python/Django разработчик;
— 3,5 + года коммерческого опыта ;
— уверенное знание Django и Django REST Framework;
— PostgreSQL;
— умение разбираться в существующем коде, а не только писать новый;
— способность самостоятельно находить и исправлять причины багов;
— желательно понимание deployment / Linux / Docker;
— готовность уделять проекту 25+ часов в неделю в ближайшие 2 месяца .
Условия:
— удалённо;
— гибкий график;
— оформление по договору оказания услуг;
— фантомный опцион: 2% от денежного оборота проекта до достижения совокупной выплаты $30 000. ориентировочный срок погашения опциона — 2 года с момента запуска проекта .
* Под денежным оборотом для целей расчёта опциона понимается совокупный объём денежных средств, фактически поступивших на расчётный счёт Компании от деятельности проекта i-Line за соответствующий расчётный период, до вычета налогов, расходов, заработной платы, расходов на инфраструктуру и иных затрат Компании. Комиссия эквайринга учитывается в соответствии с фактически поступившей на расчётный счёт суммой.
Команда:
— 1 Flutter-разработчик (в поиске);
— 1 Python-разработчик (в поиске)
— 1 React JS-разработчик;
— 1 UX/UI Designer.
Location: India
About the Job:
LaunchDarkly is seeking an Accounts Payable and Expense Specialist to support accurate, timely, and efficient processing and payment of vendor invoices and employee expenses. This role will help maintain strong financial controls by ensuring transactions are properly reviewed, coded, approved, recorded, and retained in accordance with company policies and applicable requirements.
The Accounts Payable and Expense Specialist will partner closely with employees, department budget owners, Procurement, Finance, and vendors to manage invoice and expense workflows from submission through payment or reimbursement. This role will also contribute to system implementations, process improvements, and AI-enabled automation initiatives that improve efficiency, visibility, and the employee and vendor experience.
Responsibilities:
Process and record vendor invoices accurately and timely, including validation of required documentation, vendor details, payment terms, and supporting approvals
Review invoices and employee expenses for appropriate general ledger, department, project, entity, and expense coding
Manage the routing of invoices through the approval process and follow up on outstanding approvals to support timely payment
Review employee expense reports for completeness, business purpose, policy compliance, receipts, and appropriate coding before reimbursement
Identify exceptions, duplicate submissions, missing documentation, and potential policy violations; resolve issues with employees, approvers, and vendors
Coordinate with Procurement and internal stakeholders to confirm purchase orders, contracts, receiving information, and other required support
Respond promptly and professionally to inquiries from vendors and employees regarding invoice status, payment timing, expense submissions, reimbursements, and policy requirements
Support payment runs and related accounts payable activities, including reconciliation of open items and investigation of aged or unusual balances
Maintain accurate records and documentation to support audit readiness, internal controls, and compliance with company policies
Participate in accounts payable and expense system implementations, testing, data validation, user acceptance testing, and change management activities
Identify opportunities to streamline workflows, strengthen controls, and improve process documentation through standardization and automation
Support the evaluation and deployment of AI automation for invoice capture, coding, exception handling, expense review, reporting, and other finance operations use cases
Prepare recurring reports and metrics related to invoice processing, approval aging, expense compliance, payment status, and process performance
Collaborate with cross-functional teams and contribute to other accounting operations and finance projects as needed
Qualifications:
Bachelor’s degree or higher in Accounting, Finance, Business, or a related field preferred
3+ years of experience in accounts payable, employee expense administration, accounting operations, or a similar finance role
Experience processing vendor invoices and employee expense reports in a multi-entity or fast-paced environment
Working knowledge of accounts payable controls, invoice approval workflows, expense policies, and basic accounting principles
Experience with an ERP system and expense management or accounts payable automation tools; NetSuite and PTP tools (such as Zip or Ramp) experience is a plus
Strong attention to detail and a high degree of accuracy in transaction processing and review
Demonstrated ability to manage competing priorities, meet deadlines, and follow through on open items
Strong analytical and problem-solving skills, including the ability to research discrepancies and resolve exceptions
Excellent written and verbal communication skills, with a customer-service mindset when working with vendors and employees
Proficiency with Excel or Google Sheets; experience preparing reconciliations and operational reports is a plus
Comfortable working with evolving systems and processes, including participation in implementation, testing, and continuous improvement initiatives
Interest in applying automation and AI thoughtfully to improve finance processes while maintaining appropriate review and control standards
Ability to handle confidential financial and employee information with discretion
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from
@LaunchDarkly
.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: Oakland, California, United States
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About The Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies. We're looking for a
Senior Staff Software Engineer
to join our Systems Engineering team and lead the engineering behind our internal AI-powered application ecosystem.
This is a high-leverage, high-visibility role with three interlocking mandates. First, you will own the development and governance of a code library and set of agent rules that will serve as the architectural foundation for multiple internal AI-enabled webapps at Fivetran. Second, you will work with stakeholders to develop, productionalize, and enhance custom apps built on this foundation. Third, you will act as a trusted advisor to engineering leadership, shaping policy and governance for how non-engineers should use AI to safely develop, productionalize, and deploy apps.
This position sits at the crossroads of software engineering, platform architecture, and AI-assisted development. You will partner closely with business stakeholders and engineering platform teams across the company, translating a fast-moving, experimental "everyone builds" culture into production software held to a high standard of security, reliability, and maintainability.
This is a full-time position based out of our Oakland, CA office.
Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, TypeScript/React
Kubernetes, GCP Cloud SQL (PostgreSQL)
BigQuery data sources, Claude API, Agent SDK
GTM systems - Salesforce, Outreach, Gong, and Zendesk
What You’ll Do
Independently design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud
Develop, maintain, and test code
Conduct design and code reviews
Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability
Understand and fix challenges related to performance and scalability.
Participate periodically in on-call rotation
Participate in the hiring process
Mentor Junior developers
Make Fivetran the most reliable and secure component of our customers’ data infrastructure
Skills We’re Looking For
10+ years of experience in the software industry with a passion for solving complex software engineering problems - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices
Experience working with distributed systems and cloud security concepts
Demonstrated ability to write well-structured and performant code
Ability to independently lead software and infrastructure design to satisfy project requirements
Can identify design flaws in existing systems and come up with improvements
Experience in code reviews, design, troubleshooting and testing
Experience programming in an object oriented / systems language such as Java, C++, C# etc
Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s
Experience interacting with continuous integration tools like BuildKite
Knowledge of observability tools like New Relic/Grafana is a plus
Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation
Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based platforms
#LI-HYBRID #LI-VA1
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
$232,338
—
$290,422 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: London Office
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
As a Premium Support Engineer at Replit, you’ll be the front line for our highest-value customers — delivering fast, expert, and reliable technical support when it matters most. You’ll handle complex product issues, guide customers through critical incidents, and ensure every interaction meets the highest standard of quality and speed.
Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You’ll play a critical role in shaping how Premium Support adapts to new products, new customer expectations, and AI-assisted workflows, operating effectively in ambiguity and driving clarity for your team.
You’ll combine deep technical troubleshooting with calm, confident communication to keep builders moving — whether it’s an enterprise team deploying at scale or a top-tier developer relying on Replit to power their business.
IN THIS ROLE YOU WILL:
- Serve as the trusted front-line contact for large enterprise customers, guiding them on AI prompting best practices, resolving bugs, and turning feedback into a better product experience, whilst adhering to strict SLAs.
- Diagnose, reproduce, and resolve complex technical issues across the Replit platform.
- Escalate and track high-impact issues with Product and Engineering, ensuring timely fixes and transparent communication.
- Lead customer-facing communications during outages or incidents.
- Analyse recurring issues and identify process and documentation improvements to reduce time-to-resolution
- Build and update internal tooling, automation, and documentation that improves team efficiency.
- Partner with Engineering, Product, Sales and other internal teams to ensure Premium customers receive a consistent, high-quality experience.
- Help onboard and mentor other support engineers, raising the team’s overall bar for responsiveness and quality.
REQUIRED SKILLS AND EXPERIENCE:
- 4+ years in technical support, developer support, or systems engineering.
- Experience managing and delivering against operational SLAs for enterprise accounts
- Strong hands-on debugging experience with JavaScript, Python, or similar languages, including the ability to read and reason through an unfamiliar codebase.
- Working knowledge of APIs, databases, and Git-based CI/CD workflows.
- Excellent written and verbal communication skills, able to convey technical concepts clearly to both technical and non-technical stakeholders.
- Familiarity with support tools like Zendesk, Linear, Slack, and internal debugging utilities.
- Proven ability to manage multiple high-priority issues simultaneously while maintaining accuracy and composure.
- A proactive, ownership-driven mindset and genuine empathy for customers building on Replit.
NICE TO HAVE:
- Has used Replit in the last 3 to 6 months.
- Experience working with IDEs, terminals, or other common developer tools.
- Experience with AI tools (Claude, ChatGPT, etc.).
- Exposure to cloud infrastructure (AWS, GCP, or similar).
WHAT WE VALUE:
- Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
- Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
- Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
- Continuous learning: Passion for staying current with industry best practices and new technologies
- Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: Remote - Singapore
Workplace: Remote
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
As a Premium Support Engineer at Replit, you’ll be the front line for our highest-value customers — delivering fast, expert, and reliable technical support when it matters most. You’ll handle complex product issues, guide customers through critical incidents, and ensure every interaction meets the highest standard of quality and speed.
Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You’ll play a critical role in shaping how Premium Support adapts to new products, new customer expectations, and AI-assisted workflows, operating effectively in ambiguity and driving clarity for your team.
You’ll combine deep technical troubleshooting with calm, confident communication to keep builders moving — whether it’s an enterprise team deploying at scale or a top-tier developer relying on Replit to power their business.
IN THIS ROLE YOU WILL:
- Provide swift, high-priority support to Premium customers, responding within strict SLAs.
- Diagnose, reproduce, and resolve complex technical issues across the Replit platform.
- Escalate and track high-impact issues with Product and Engineering, ensuring timely fixes and transparent communication.
- Lead customer-facing communications during outages or incidents.
- Identify recurring issues and collaborate internally to reduce time-to-resolution.
- Contribute to internal tooling, automation, and documentation that improves team efficiency.
- Partner with Engineering, Product, Sales and other internal teams to ensure Premium customers receive a consistent, high-quality experience.
- Help onboard and mentor other support engineers, raising the team’s overall bar for responsiveness and quality.
REQUIRED SKILLS AND EXPERIENCE:
- 3+ years in technical support, developer support, or systems engineering.
- Experience providing rapid-response support to high-value or enterprise customers.
- Strong debugging skills with JavaScript, Python, or similar languages.
- Excellent written and verbal communication under time pressure — able to convey technical concepts clearly and calmly.
- Familiarity with support tools like Zendesk, Linear, Slack, and internal debugging utilities.
- Proven ability to manage multiple high-priority issues simultaneously while maintaining accuracy and composure.
- A proactive, ownership-driven mindset and genuine empathy for customers building on Replit.
NICE TO HAVE:
- Has used Replit in the last 3 to 6 months.
- Experience working with IDEs, terminals, or other common developer tools.
- Experience with AI tools (Claude, ChatGPT, etc.)
WHAT WE VALUE:
- Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
- Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
- Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
- Continuous learning: Passion for staying current with industry best practices and new technologies
- Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems
Note: This role will begin as remote, with plans to transition to a hybrid model once we establish a local office presence.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
ГибридSan Francisco
190 000 – 235 000 $
ОфисSan Francisco, CA; New York, NY
Зарплата не указана
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