Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE TEAM
The Billing team sits at the intersection of product, finance, and infrastructure. They're responsible for ensuring every observable event—errors, logs, traces, tokens—gets accurately measured, priced, and billed. Their work directly impacts company revenue and customer trust, requiring distributed systems expertise, attention to financial accuracy, and deep understanding of product usage patterns. The team works cross-functionally with product, engineering, BizOps, marketing, and sales to build systems that enable new products and pricing models.
As an Engineering Manager, you’ll lead a team of engineers owning critical workflows such as checkout and invoicing, while also developing new features to help customers manage their spend growth. In this role, you’ll partner across the organization to ensure our customers redeem everything Sentry has to offer and budget for future expansion.
IN THIS ROLE YOU WILL
- Strategic Planning & Roadmap: Define and drive the team's roadmap. Align team goals with organizational objectives and contribute to the overall platform strategy.
- Technical Guidance & Operational Excellence: Provide technical leadership and guidance on complex distributed systems and design. Ensure the team is proactively identifying areas for improvement.
- Cross-functional Collaboration: Partner closely with business and technical teams to translate business goals into actionable objectives and scalable solutions.
- Team Leadership & Development: Lead, mentor, and grow a team of talented engineers, including Staff-level engineers. Build a culture of technical excellence, collaboration, continuous learning, and innovation within the team.
- Communication & Reporting: Effectively communicate team progress, challenges, and strategic direction to senior leadership, stakeholders, and the wider organization. Represent the team's work internally and externally, including through blog posts and presentations.
YOU’LL LOVE THIS JOB IF YOU
- Are a product and platform-minded leader who enjoys distributed systems and software architecture problems. You regard Product and Design as your peers, seeking collaboration when determining product outcomes and technical priorities for the team. You’re comfortable managing delivery and shaping direction.
- Have high agency and like to own your outcomes, including defining where Billing needs to be in 6 - 12 months, and translating that into team bets and priorities.
- Enjoy leveraging your technical background to inform and validate the team’s decisions.
- Thrive in cross-functional environments, collaborating with individuals across many disciplines to deliver the best solutions.
- Love to foster career growth, finding opportunities for team members to stretch and excel.
QUALIFICATIONS
- Experience working on a customer-facing product, ideally within developer tools or high-traffic product surfaces.
- Experience owning a product area end-to-end, from shipping new features through long-term maintenance and iteration.
- Excellent communication skills and an ability to articulate technical concepts and tradeoffs clearly and succinctly.
- Experience with scoping work, performing resource allocation, and establishing engineering milestones and delivery dates.
- 5+ years professional engineering experience, preferably with Python, JavaScript/TypeScript or similar.
- 2+ years of engineering management experience.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $240,000 to $450,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: San Francisco, CA
Workplace: Hybrid
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
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.
WHAT YOU’LL DO:
- Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through
- Build relationships with prospects and customers, understanding their needs and how our products can help
- Prospect strategically into SMB, mid-market, and small-enterprise accounts
How to be successful in this role:
- 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
- 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts
- 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:
- Annual salary range: $220,000 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: 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
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.
WHAT YOU’LL DO:
- Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through
- Build relationships with prospects and customers, understanding their needs and how our products can help
- Prospect strategically into SMB, mid-market, and small-enterprise accounts
How to be successful in this role:
- 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
- 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts
- 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:
- Annual salary range: $220,000 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: Washington DC
Workplace: Remote
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 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.
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 TEAM
The LangChain Deployed Engineering - Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments.
This is a hands-on, highly technical team that partners closely with government engineers, technical program managers, and system integrators across the full lifecycle — from pre-award technical shaping and evaluations to post-deployment advisory work in secure environments. The focus is on achieving the technical win, architecting secure and compliant agent systems, and enabling agencies to operate AI agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, security, and go-to-market. You will shape how LangChain is adopted across classified and unclassified environments, ensuring alignment with federal compliance requirements while feeding mission-driven insights back into the platform.
ABOUT THE ROLE
As a Deployed Engineer, you’ll work on some of the hardest problems in applied AI — not demos or experimental research, but production systems supporting real-world missions.
You’ll help defense, civilian, and intelligence customers design, deploy, and operate AI agents in secure, regulated, and high-stakes environments. The feedback loop is fast, the mission impact is tangible, and your work directly influences how AI agents are deployed across the federal landscape.
You will operate in environments that demand security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with federal engineering teams and system integrators
- Own the technical win in federal pre-sales engagements by designing secure POCs, supporting RFI/RFP technical responses, and guiding technical evaluations
- Design architectures that meet federal security and compliance requirements (FedRAMP, DoD IL2–IL6, NIST, etc.)
- Help agencies deploy and operate agent-based applications such as mission support copilots, intelligence analysis agents, research automation systems, and multi-step operational workflows
- Advise customers post-award on architecture, scalability, observability, evaluation, and long-term roadmap decisions
- Deliver technical demos, workshops, and enablement sessions tailored to government developer and operator audiences
- Partner with security teams to navigate ATO processes and accreditation pathways
- Surface field feedback from federal use cases and contribute reusable patterns, secure deployment guides, and example code that scale across agencies
- Occasionally contribute code upstream when it meaningfully improves federal customer outcomes
WHAT YOU’LL BRING
- Must have zctive or prior U.S. security clearance (Secret, TS/SCI)
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, product engineering), ideally supporting federal or regulated customers
- Experience working with DoD, Civilian Agencies, Intelligence Community, or federal system integrators
- Strong Python and JavaScript fundamentals, with deep systems thinking
- Experience designing agent-based or LLM-powered systems beyond simple API calls, including multi-step workflows, orchestration, guardrails, and failure handling
- Familiarity with secure cloud environments (AWS GovCloud, Azure Government, etc.)
- Comfort operating in regulated environments with security, compliance, and documentation requirements
- Experience supporting technical evaluations, architecture reviews, and competitive down-select processes
- Ability to clearly explain technical tradeoffs to government stakeholders and build trust across engineering and program leadership
- Ownership mindset — you take responsibility for mission outcomes, not just recommendations
- Bias toward action and comfort operating in ambiguity
- Excitement about running AI agents in real-world, production federal environments — not just building demos
NICE TO HAVE
- Experience deploying AI systems in classified or air-gapped environments
- Familiarity with FedRAMP authorization processes or DoD Impact Levels (IL2–IL6)
- Experience with LLM evaluation, observability, red-teaming, or guardrails in high-assurance settings
- Hands-on experience with AWS, Azure, containers, Kubernetes, and secure networking architectures
- Experience working alongside federal system integrators (Booz Allen, SAIC, Leidos, etc.)
- Production experience with LangChain, LangGraph, or similar agent frameworks
COMPENSATION & BENEFITS
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual OTE range: $185,000–$300,000 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: Boston, MA
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 Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
WHAT YOU’LL BRING
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $185,000–$300,000 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: 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 Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
WHAT YOU’LL BRING
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $185,000-$315,000 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: San Francisco, CA
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 Role:
We’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects.
You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI.
What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator.
What You'll Do:
- Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value.
- Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience.
- Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development.
- Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency.
- Use LangChain powered agents to test, learn, and improve prospecting strategies
How to be successful in this role:
- 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career)
- Clear, confident communicator who can engage both technical and business audiences
- Motivated by learning, iteration, and experimentation you treat outreach like a craft
- Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way
- Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate
- Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction
Compensation
- On Target Earnings: $125,000
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: 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 Role:
We’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects.
You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI.
What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator.
What You'll Do:
- Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value.
- Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience.
- Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development.
- Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency.
- Use LangChain powered agents to test, learn, and improve prospecting strategies
How to be successful in this role:
- 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career)
- Clear, confident communicator who can engage both technical and business audiences
- Motivated by learning, iteration, and experimentation you treat outreach like a craft
- Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way
- Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate
- Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction
Compensation
- On target Earnings: $125,000
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: Toronto, Ontario, Canada
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
The Streaming Platform team at Sentry is building the next generation of infrastructure that powers our ingestion pipelines and real-time data processing systems. Our platform ingests, processes, and distributes hundreds of thousands of events per second with low latency and high reliability. We are creating a system that makes it easy for Sentry engineers to deploy and run Streaming Applications at scale by simplifying the complexity of Kafka, scaling consumers automatically, and managing state so product teams can focus on building great experiences for developers.
As part of this team, you will work on challenges at the intersection of distributed systems, real-time data processing, and developer experience. You will help us create a self-service streaming platform that improves stability, accelerates time to production, and reduces operational overhead.
This role is based in Toronto, with three days per week in the office to work closely with engineering teams.
IN THIS ROLE YOU WILL
- Design, build, and operate components of our Streaming Platform, including Kafka, the streaming runtime, high-level APIs, and developer-facing abstractions.
- Implement resilient, high-throughput stream processing systems that handle unbounded datasets with strong correctness guarantees (delivery, checkpointing, watermarking, and more).
- Build scalable automation and control plane for Kafka fleet management and improve efficiency.
- Partner with product engineers to ensure our abstractions enable fast, reliable, and consistent ingestion pipelines.
- Improve observability, monitoring, and failover for mission-critical real-time systems.
YOU’LL LOVE THIS JOB IF YOU
- You enjoy working on distributed systems at scale and care about reliability and performance.
- You like building abstractions that make complex infrastructure easier for others to use.
- You are motivated by designing systems that balance flexibility for developers with best practices for stability.
- You are excited to shape how Sentry handles near real-time ingestion and analytics at scale.
- You value being part of a collaborative team where your contributions make a broad impact across the company.
QUALIFICATIONS
- At least 2-3 years of software engineering experience, with background in distributed systems, data infrastructure, or real-time streaming.
- Proficiency in a programming language such as Python, Rust, Go, or Java (we primarily use Python and Rust, but experience in similar languages is valuable).
- Experience building and operating systems in cloud environments such as Kubernetes, AWS, or GCP.
- Nice to have: experience with streaming technologies such as Kafka, Flink, Spark Streaming, or similar tools.
The base salary range that Sentry reasonably expects to pay for this position is $163,000 to $200,000 CAD. A successful candidate’s actual base salary amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
The Streaming Platform team at Sentry is building the next generation of infrastructure that powers our ingestion pipelines and real-time data processing systems. Our platform ingests, processes, and distributes hundreds of thousands of events per second with low latency and high reliability. We are creating a system that makes it easy for Sentry engineers to deploy and run Streaming Applications at scale by simplifying the complexity of Kafka, scaling consumers automatically, and managing state so product teams can focus on building great experiences for developers.
As part of this team, you will work on challenges at the intersection of distributed systems, real-time data processing, and developer experience. You will help us create a self-service streaming platform that improves stability, accelerates time to production, and reduces operational overhead.
This role is based in San Francisco, with three days per week in the office to work closely with engineering teams.
IN THIS ROLE YOU WILL
- Design, build, and operate components of our Streaming Platform, including Kafka, the streaming runtime, high-level APIs, and developer-facing abstractions.
- Implement resilient, high-throughput stream processing systems that handle unbounded datasets with strong correctness guarantees (delivery, checkpointing, watermarking, and more).
- Build scalable automation and control plane for Kafka fleet management and improve efficiency.
- Partner with product engineers to ensure our abstractions enable fast, reliable, and consistent ingestion pipelines.
- Improve observability, monitoring, and failover for mission-critical real-time systems.
YOU’LL LOVE THIS JOB IF YOU
- You enjoy working on distributed systems at scale and care about reliability and performance.
- You like building abstractions that make complex infrastructure easier for others to use.
- You are motivated by designing systems that balance flexibility for developers with best practices for stability.
- You are excited to shape how Sentry handles near real-time ingestion and analytics at scale.
- You value being part of a collaborative team where your contributions make a broad impact across the company.
QUALIFICATIONS
- At least 2-3 years of software engineering experience, with background in distributed systems, data infrastructure, or real-time streaming.
- Proficiency in a programming language such as Python, Rust, Go, or Java (we primarily use Python and Rust, but experience in similar languages is valuable).
- Experience building and operating systems in cloud environments such as Kubernetes, AWS, or GCP.
- Nice to have: experience with streaming technologies such as Kafka, Flink, Spark Streaming, or similar tools.
The base salary range that Sentry reasonably expects to pay for this position is $155,000 to $190,000 USD. A successful candidate’s actual base salary amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
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 ROLE:
We’re hiring a Sales Development Manager (New York City or San Francisco) to lead and scale our founding SDR team at LangChain.
Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline.
This role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts.
WHAT YOU'LL DO:
- Lead and coach a team of SDRs responsible for generating qualified pipeline
- Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment
- Recruit top SDR talent and grow the team as LangChain continues to scale
- Develop SDR talent through coaching, call reviews, and structured feedback
- Build repeatable outbound and inbound qualification playbooks
- Partner with marketing to convert inbound demand into qualified opportunities
- Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals
- Implement systems and workflows that improve SDR productivity and effectiveness
- Use data to continuously improve performance, analyzing conversion rates across the funnel
HOW TO BE SUCCESSFUL IN THIS ROLE:
- Have 5+ years of experience in sales development
- Have 1–3+ years managing SDRs or leading a sales development team
- Are comfortable working with technical products and developer audiences
- Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.)
- Are highly data-driven and comfortable managing performance through metrics
- Are passionate about coaching and developing early-career sales talent
- Thrive in fast-moving environments where processes are still evolving
- Have strong communication and organizational skills
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)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity
Grafana Labs is looking for a Sales Operations Manager to support our GTM organization by managing advanced models, improving our data structure, and strengthening our operational processes. Reporting to the Sr Director of Field Operations, this role will focus on target setting, quota creation, and reporting for our consumption based product suite.
The ideal candidate is highly analytical, excels at translating complex business realities into structured models, and thrives in a fast-paced, data-heavy environment.
What you'll be doing:
Improve and maintain core models of our account base as it relates to consumption growth across the GTM organization.
Partner with the larger Revenue Operations and Compensation team to manage monthly compensation updates and drive improvements in existing processes.
Conduct deep-dive analyses on our customer product engagement to drive decisions around our product investment, GTM segmentation, and territory planning decisions.
Work within Google BigQuery (SQL) to extract large datasets for reporting. Influence data orchestration between BigQuery, Google Sheets, and compensation tools to streamline calculations and execution of compensation.
Manage exceptions directly with Sales.
Independently execute ad-hoc reporting requests, delivering actionable insights
What Makes You a Great Fit:
4+ years of experience in strategy and operations, consulting, business analytics, or compensation.
Comfort working with large datasets and ambiguous problems, with the ability to distill key takeaways.
Strong problem-solving skills – able to translate business challenges into structured models and insights.
Excellent communication skills with executive audiences - explain “what it is”, “why it matters” and “what should we do” in terms of your data and analysis.
Ability to work independently and drive analysis with minimal guidance.
Expert-level Excel or Google Sheets modeling skills, including advanced formulas, pivot tables, and data visualization.
Proficiency in SQL and data orchestration between BigQuery and GTM tools
Experience with Salesforce reporting, dashboards, validation rules, and flows.
Experience with compensation tools like Xactly, Apttus, or CaptivateIQ
Bonus Points For:
Previous experience in open source
Experience with data visualization tools like Tableau or Looker. Grafana visualization as a plus
Compensation & Rewards:
In the United States, the OTE (On-Target Earnings) compensation range for this role is $
125,000
- $148
,000
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
#LI-Remote
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Remote, Global
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THE ROLE
We are seeking a Platform Software Engineer with deep experience in distributed systems to help design, build, and maintain core platform services. You will work primarily in TypeScript and Go to deliver reliable, scalable, and secure systems that power Supabase at massive scale.
WHAT YOU'LL BE DOING:
- Design and implement distributed services and APIs that power the Supabase Platform.
- Lead projects that improve scalability, reliability, and cost efficiency across existing systems.
- Build data-intensive workflows, background jobs, and event-driven pipelines.
- Own service SLIs/SLOs and collaborate on incident response and post-incident reviews.
- Improve system observability with metrics, logging, tracing, and profiling.
- Contribute to our CI/CD and release processes to ship safely and quickly.
- Partner with product teams to deliver features end-to-end, from design docs to production.
- Write clear design documents, RFCs, and high-quality tests.
WHAT WE'RE LOOKING FOR:
- Experienced in designing and operating distributed systems, with strong foundations in consistency, fault tolerance, partitioning, consensus, and back pressure.
- Proficient in TypeScript and/or Go, ideally with 5+ years building production services in one or both languages (other languages also considered).
- Comfortable with cloud infrastructure (AWS preferred) and container orchestration.
- Familiar with multi-tenant architectures, API design, and data modelling.
- Knowledgeable about networking fundamentals and security best practices.
- Experienced with Infrastructure as Code (Pulumi preferred; Terraform/CDK also fine).
- Comfortable participating in on-call rotations for large-scale production systems.
NICE TO HAVE:
- Experience with Postgres internals, logical replication, or CDC pipelines.
- Experience with service meshes, workload identity, or zero-trust networking.
- Background in performance engineering and capacity planning.
- Open source contributions in systems, databases, or runtime tooling.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Remote: United States; San Francisco HQ; Remote: Canada
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
As the Engineering Manager for Governance & Access, you will lead the team responsible for building the security, governance, and access capabilities that let Render's customers manage teams, permissions, and environments with confidence as they scale.
You'll design these capabilities for a world where agents, not just humans, operate on Render, turning emerging agentic use cases into simple, reusable platform primitives across identity, authorization, credentials, and delegation. The problems span traditional IAM and emerging agent infrastructure, which is what distinguishes this role from a typical security or IAM job. You'll shape the team's structure as much as its roadmap. You'll also join at a formative moment: the team is small, the architectural foundations are still being defined, and the systems you build will become primitives used across millions of users.
What You’ll Do
- Lead and grow the Governance & Access team
- Own the roadmap for governance, identity and access management, roles and permissions, and related compliance and security capabilities
- Define how these capabilities extend to agents operating on Render, not only human users
- Partner with the dedicated product and design partners already on the team to align roadmap with customer and platform needs
- Build a strong hiring and interview process as the team scales, calibrating closely with recruiting and cross-functional partners
- Make key technical and architectural decisions for access, identity, and governance systems
- Coach and develop engineers, through performance management and career growth
- Coordinate with the adjacent Security team and the rest of the Growth and Expansion org as the platform evolves
- Balance security, usability, and speed, making pragmatic decisions about where strong guarantees are required and where the team can iterate
What We’re Looking For
- Strong people leadership - the top priority for this role
- Comfort operating in ambiguity, with the flexibility to adapt and grow as the team's scope evolves
- Experience building and scaling a team from an early stage
- A track record of managing and developing engineers, including hiring and performance management
- Ability to partner closely with product and design without needing to fill those functions yourself
- Background from either a startup or a larger company is fine. What matters is the ability to operate at pace
Nice-to-Haves
- Experience in security, governance, or access management (IAM, RBAC, compliance)
- Exposure to building for AI agents or agentic systems
- Experience managing senior (IC5-level) engineers
- Background in developer platforms or B2B SaaS products
This is an opportunity to help define what secure access looks like when software increasingly acts on behalf of people.
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!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
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- Функциональное и системное сопровождение банковского программного обеспечения. - Сопровождение и развитие инфраструктуры банковского программного обеспечения.
- Поэтапный перевод системы с графа сценариев и скиллов на управляемый LLM-based диалог; - Дебаг голосового пайплайна (поиск причин high latency, галлюцинаций LLM, проблем с передачей аудио, графовых ошибок и т.п.);
-Инфраструктура и высоконагруженный инференс (Platform Engineering): -Проектирование и поддержка GPU-кластера инференса (Nvidia) для десятков тысяч пользователей: скалирование, балансировка и приоритизация запросов, пользовательские лимиты.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Senior Product Designer, Knowledge Graph
This is a remote position. We are looking for candidates in the US and Canada
(East Coast US/Canada preferred, open to other time zones for exceptional candidates)
.
The Opportunity:
As a Senior Product Designer at Grafana Labs, you will join a growing Product Design organization of more than 25 designers, researchers, engineers, and design leaders distributed across six continents. You will work within a 100% remote R&D organization, so strong, proactive remote communication, collaboration, facilitation, and relationship building skills will be essential to your success.
As
Senior Product Designer for Grafana Cloud’s Knowledge Graph
, you'll design experiences for the context layer of Grafana Cloud that powers our entity graph, entity catalog and RCA workbench. Knowledge Graph automatically discovers services, infrastructure, and databases from the telemetry teams already have, maps how they depend on each other, and runs anomaly detection. This gives engineers, SREs, and their agents an up to date picture of their systems. We want anyone to be able to understand a system and resolve an incident faster, without writing queries or maintaining alert rules, not just the one person who happens to know it best.
Over time, you will develop deep expertise in your product area and associated customer and user personas, use cases, and workflows, which will enable you to design tailored, role-driven experiences.
You will also have an opportunity to contribute to the evolution of the Product Design team at Grafana by coaching and mentoring other designers, collaborating on team internal initiatives, and helping evolve new ways of working, learning, and having fun together as the team scales.
What You’ll Be Doing:
Enabling customers to easily understand and explore how their systems connect to each other. Find clear, simple ways to show complex, constantly-changing information without overwhelming the user
Translate research and data to experiences that are easy to digest and break down complexity
Tailor the experience to different target audiences, covering multiple user perspectives
Work cross-functionally with peers and leaders in engineering, product management, technical writing, and GTM functions, as well as other members of the Product Design team
Prioritise for delivering impact while balancing business priorities, customer wishes and technical considerations
Document user needs and pain points, design directions, UX trade-offs, and detailed designs for specific features and enhancements
Execute research and contribute to quantitative and qualitative research initiatives with researchers, cross-functional collaborators, customers, and members of the Grafana user community
What Makes You a Great Fit:
7+ years of relevant design experience working on B2B/enterprise software products, ideally designing tools and services for developers or other highly technical users
A portfolio of effective designs for complex products delivered in a fast-paced environment
Experience running qualitative research in complex fields, building empathy with users and humans, their needs and pain points even when you have very little in common with them
Ability to make design decisions that appropriately balance business goals, product priorities, customer feedback, research insights, and technical considerations
Ability to collaborate with cross-functional teams across multiple locations and time-zones to iteratively ship and evolve products while keeping the end design vision in mind
Attention to detail and willingness to learn about a complex, very technical product space
Experience working in a fully-remote, fast-paced environment where you are expected to share openly, default to transparency, and embrace your autonomy
Bonus Points For:
Experience designing complex, data-dense interfaces with a focus on clarity
Ability to rapidly gain an understanding of a technical domain and associated customer needs and user workflows in order to design effective experiences within that domain
Domain knowledge or experience related to observability, cloud infrastructure, and/or database monitoring
Experience helping design teams, especially at engineering led companies, level up their practice, collaboration with partner functions, and user and organizational impact
When you apply, please:
Provide an example of an experience where decision-making in a complex area is made easy through a well-curated UI. Add a sentence or two about what you believe makes it effective.
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD $
145,000
- CAD $182,000.
Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
ГибридSan Francisco, CA
Зарплата не указана
ОфисNew York, NY
Зарплата не указана
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