Location: New York, NY; 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 TEAM:
The LangSmith Engine team is building a proactive agent engineer that analyzes production traces, identifies important failures, recommends and writes fixes, and helps prevent those issues from coming back. We’re building agents that can understand complex software systems and continuously improve the quality of other AI agents.
ABOUT THE ROLE:
We’re looking for an experienced research engineer to help make the Engine agent more capable and more efficient.
You’ll study real agent failures, build benchmarks that capture what matters, run experiments to improve performance, and turn successful ideas into production. This may include prompting and agent-harness improvements, model selection, fine-tuning and post-training custom models. The focus is on measurable improvements to the overall agent.
This role also requires a understanding of production engineering and system-level tradeoffs. Engine is a production system, so improving an agent is not just about maximizing benchmark performance—it also means understanding the impact on cost, latency, reliability, and scalability. You’ll work in the same team with production engineers to design, test, and ship improvements that work reliably in real-world environments.
Location: SF and NYC
WHAT YOU’LL DO:
- Build and maintain benchmarks and evaluations that measure the quality and efficiency of Engine agents on real-world tasks.
- Design and run experiments to improve agent performance across models, prompting, context, tools, orchestration, and agent strategies.
- Explore and implement post-training and fine-tuning techniques when they can meaningfully improve agent capabilities, quality, or cost.
- Turn successful experiments into production improvements, working closely with engineers and researchers to measure impact and prevent regressions.
- Help define the ML roadmap and technical direction for improving Engine agents, and mentor other engineers through strong technical leadership.
WHAT YOU’LL BRING:
- 4+ years of experience in ML/AI research, or a closely related field.
- Master’s or Ph.D. in a relevant scientific field.
- Hands-on experience working with LLMs and AI agents, including analyzing model behavior and improving real-world performance
- Strong experience designing benchmarks, evaluations, and experiments for AI/ML systems; you know how to tell whether a change actually made an agent better.
- Strong software engineering skills, with a track record of taking ideas from research prototype to measurable production impact.
- You have maximum agency and strong research judgment: you can identify high-impact problems, work through ambiguity, move quickly, and communicate your findings clearly.
NICE TO HAVE:
- Ph.D. in Machine Learning, Computer Science or Physics.
- Hands on experience with LLM-as-a-judge, automated graders, synthetic data generation, or human evaluation.
- Hands on experience with reinforcement learning, preference optimization, SFT, RLHF/RLAIF, or other post-training techniques for LLMs.
- Experience optimizing LLM agents for cost, latency, or task efficiency on productions
- Experience with model serving, inference optimization, distributed systems, or GPU infrastructure.
Compensation
Salary Range: $240,000-$280,000 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: Remote - US
Overview
LaunchDarkly is seeking a creative and experienced Product Manager to lead our end-to-end data products, from SDK data ingest through our data platform to the customer-facing observability, metrics, and experimentation experiences built on top of it. You will own the vision and strategy for this entire pipeline as a coherent product, ensuring the data customers send us is trustworthy, timely, and transformed into experiences that help them ship better software. The ideal candidate has a deep understanding of data infrastructure, observability/analytics, and how customers and their agents consume and work with software delivery data.
Responsibilities
Define and lead the product vision, strategy, and roadmap for LaunchDarkly's end-to-end data products, spanning SDK event ingestion, our data platform, and customer-facing data products, ensuring alignment with company goals and customer requirements.
Own the strategy for AI-powered analysis of our data and the agent experience of our data products: how AI surfaces insights, anomalies, and recommendations from software delivery data, and how our data is modeled, exposed, and made consumable so that AI agents are first-class consumers alongside humans.
Own the product strategy, platform definition, and GTM for our data products.
Treat the data pipeline as a single product: drive coherence across ingestion, processing, storage, and consumption so that every downstream experience (analytics, experimentation, insights, integrations) is built on a reliable, well-modeled foundation.
Collaborate with engineering, design, marketing, and sales teams to deliver high-quality products that meet customer needs.
Monitor industry trends and competitor products to stay ahead of the curve.
Act as the voice of the customer, ensuring their needs and pain points are addressed in all product decisions.
Partner with marketing and cross-functional teams including sales, customer success, and support to define Go-To-Market plans and strategy for data products and features.
Mentor and uplevel other product managers, and raise the bar for data-informed product practice across the organization.
About you
Curious:
More than anything, you love learning and are able to build opinions and expertise quickly across many domains.
Purpose-driven:
The how behind all your projects is driven by a clear definition of why we're solving the problem.
Agent-first:
You’re obsessive about pushing agents to their limits and often eschew UIs in favor of agent-first interactions.
Customer-centric:
You are driven to understand customer challenges and needs, crafting solutions that provide real value.
Product sense:
You love great software and can't stand bad software. You have a strong focus on craft, quality, and the ability to deeply empathize with the end user to deliver delightful experiences.
Systems thinker:
You see how the pieces connect. You're as comfortable reasoning about an ingestion pipeline's throughput as you are about the dashboard a customer sees, and you understand how decisions at one layer ripple through the others.
Collaborative:
You excel at working with diverse teams, seamlessly bridging customer stakeholders, ecosystem partners, and product development teams.
Effective communicator:
You build strong relationships and communicate with clarity and precision. You're an incredible writer who can concisely explain complex ideas in simple ways to a wide variety of audiences.
Adaptable:
You thrive in fast-paced environments and can effectively prioritize in order to manage multiple projects at once.
High agency:
You are motivated to achieve success and have a strong sense of ownership to deliver great outcomes across a broad range of responsibilities. Even if it's not your responsibility, if you see something that needs to be done, you make sure it happens.
Business acumen:
You understand how technical solutions tie to business objectives and can align projects to meet customer and company goals.
Qualifications
8+ years of product experience, especially with data platforms, data infrastructure, analytics, or developer tools.
Alternatively, 8+ years of engineering experience in data-intensive systems with a strong product mindset and a desire to transition into a product management role.
We will consider candidates with fewer years of experience who demonstrate exceptional potential and excitement to get into the space, or who bring significant hands-on experience with AI-powered data analysis.
Proven track record of successfully bringing data products to market and driving strategy across multiple teams or a platform-scale product area.
Strong understanding of modern data architectures: event/streaming pipelines, data warehousing and lakehouse patterns, data modeling, and the trade-offs of processing data at scale.
Experience with both platform products (where the customer is internal teams or developers) and end-user-facing data products (analytics, observability, insights, experimentation), and an understanding of how the two must work together.
Excellent analytical, problem-solving, and decision-making skills.
Strong communication and interpersonal skills, with the ability to collaborate effectively with and influence cross-functional teams and senior leadership.
Pay:
Target pay ranges based on Geographic Zones* for Level 5:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
- $214,800 - $295,350 **
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago -
$193,400 - $265,870**
Zone 3:
All other US locations -
$182,600 - $251,020*
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
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. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
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
.
Simple Life is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle—without the stress or extremes. Our mission is to empower people to feel their best every day. By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support. Simple has had over 17 million downloads and more than 300,000 5-star reviews, having helped millions lose weight successfully and sustainably. Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies — all thanks to a dedicated global team driving real impact. With SIMPLE as a partner in their pocket, users feel cared for and empowered to embrace — and stick to — new healthy habits.
Simple is looking for a Senior Data Engineer to join our Tech team. Push the pace of innovation and build a future of a healthier world with us!
Задачи:
— Design, build, and maintain streaming pipelines.
— Develop custom ingestion pipelines from third-party APIs, webhooks, and SDKs.
— Migrate existing data ingestion pipelines from SaaS tools to our own infrastructure.
— Deliver data to the raw layer of our Snowflake warehouse with schema consistency, idempotency, and resilience to malformed or late data.
— Evolve the existing AWS streaming stack (Kinesis, SQS, Lambda, API Gateway), improving cost efficiency, observability, and resilience.
— Maintain infrastructure as code (Terraform) for ingestion and processing resources.
— Monitor pipelines, troubleshoot, and resolve incidents.
— Contribute to our ongoing work on safe data access for AI agents and tooling.
— Continuously improve ingestion architecture, tooling, and engineering practices.
Требования:
— 5+ years of commercial Python experience in a backend or data engineering role.
— Solid understanding of distributed systems architecture, including load balancing, sharding, and trade-offs between synchronous and asynchronous processing.
— Hands-on experience with cloud services, preferably AWS (Lambda, API Gateway, containers in ECS/EKS).
— Experience building streaming pipelines (Kinesis, SQS, or equivalents).
— Experience with infrastructure as code (Terraform or equivalents).
— Working knowledge of SQL: ability to read and write queries, including joins and window functions.
— Commercial experience with real-world production data: ability to design systems that gracefully handle messy, duplicated, delayed, or malformed input.
— Solid understanding of how data flows through production systems, including the ability to anticipate and prevent downstream issues.
— Operational mindset: comfortable owning production systems and monitoring them.
— Ability to make architectural decisions independently and review the work of teammates.
Желательно:
— Strong SQL and data modeling skills.
— Experience with Snowflake and dbt.
— Experience with workflow orchestrators (Airflow, Dagster, Prefect, or equivalents).
— Experience working with analytics and product teams as a data provider.
— Experience working with sensitive or regulated data.
Условия:
— Open-minded teams, a welcoming and inclusive company culture.
— Competitive salary package based on expertise, skillset, and impact plus stock options.
— In-office, remote and hybrid work opportunities.
— Equipment needed for productivity.
— Premium SIMPLE subscription.
— 21 days annual leave plus bank holidays.
— Flexible hours focusing on results, not desk time.
О компании и ценностях:
— Data-driven decision making.
— Focus on impact and speed.
— Ownership and responsibility.
— Encouragement to push limits and innovate.
— Team accountability and collaboration.
Location: Remote - US
About the Job:
Software powers the world, and LaunchDarkly empowers teams to deliver and control it safely. As a
Senior Backend Engineer
on the
Billing
team, you will own the systems that turn every plan, price, entitlement, and usage limit into revenue — checkout, subscription and entitlement APIs, usage metering, and the integrations to our billing, CRM, and finance systems. When billing is wrong, customers get the wrong product and we invoice the wrong amount. Correctness here is a commitment to our customers, not a nice-to-have.
You and your team will drive the modernization of our billing platform. Technologies include Go, TypeScript, Postgres, AWS, and Terraform. Exact tool match matters far less than deep backend judgment and a track record of safely changing systems that are not allowed to be wrong.
Responsibilities:
Design and build the systems that define our plans, pricing, entitlements, and limits, and expose them through our API.
Decompose billing from our monolith into services that are correct, testable, and independently deployable.
Own correctness end to end — usage metering, reconciliation, and the invoices and usage data customers see.
Operate what you build: SLOs, alerting, on-call, and fixing root causes rather than repeating mitigations.
Qualifications:
6+ years of professional software-engineering experience, with significant work on complex backend applications.
Experience decomposing a monolith
A track record on systems where correctness is non-negotiable, and the habits that come with it: idempotency, reconciliation, reversible migrations, and safe cutovers.
Proficiency in at least one backend language (Go, Rust, Python, etc.) and familiarity with cloud infrastructure (AWS or equivalent), plus strong production ownership including on-call.
Bonus
Billing, payments, or metering systems, or usage-based pricing.
Modeling entitlements, quotas, or multi-tenant limits.
Pay:
Target pay ranges based on Geographic Zones* for Level 4:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
- $191,800 - $263,670**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago -
$172,600 - $237,270**
Zone 3:
All other US locations -
$
163,000 - $224,070
**
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
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. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
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: Remote - US
About the Job:
Software powers the world, and LaunchDarkly empowers teams to deliver and control it safely. As a
Senior Backend Engineer
on the
Identity & Access Management
team, you will own the systems every customer touches before they touch anything else:
SAML
and OAuth2 single sign-on,
SCIM
user and team provisioning, login and session management, multi-factor authentication, and the API key and token infrastructure that authenticates every request to our platform. When authentication is wrong, customers cannot get in at all — or the wrong person gets in. Security and availability here are commitments to our customers, not nice-to-haves.
You and your team will make this stack operable and enterprise-ready. Technologies include Go, TypeScript, CockroachDB, Redis, AWS, and Terraform. Exact tool match matters far less than deep backend judgment and a track record of safely changing systems that are not allowed to be wrong.
Responsibilities:
Own LaunchDarkly’s authentication surface end to end — single sign-on,
SCIM
provisioning, login and session flows, multi-factor authentication, and API key and token authentication.
Build the enterprise identity capabilities our largest customers require: additional identity-provider integrations, support for multiple IdPs per account, and
MFA
enforcement by default.
Make the stack operable: SLOs, monitoring for certificate expiry and provisioning failures, actionable alerting, runbooks, and a sustainable on-call.
Partner with Product Security on threat modeling, audit logging, and compliance requirements including SOC 2 and FedRAMP.
Set the technical direction for identity at LaunchDarkly, and raise the bar for the engineers around you through design review and mentorship.
Qualifications:
6+ years of professional software-engineering experience, with significant work on complex backend applications.
Experience building or operating production authentication and identity systems.
A track record on systems where correctness and availability are non-negotiable, and the habits that come with it: backward-compatible change, staged rollouts, and safe cutovers.
Proficiency in at least one backend language (Go, Rust, Python, etc.) and familiarity with cloud infrastructure (AWS or equivalent), plus strong production ownership including on-call.
Bonus
Protocol depth in
SAML
,
OIDC
/OAuth2, or
SCIM
, and integration experience with Okta, Microsoft Entra ID, Google Workspace, OneLogin, or Ping.
MFA
/WebAuthn,
RBAC
and authorization policy engines, or audit logging at multi-tenant scale.
Engineering under compliance regimes such as SOC 2 or FedRAMP.
Pay:
Target pay ranges based on Geographic Zones* for Level 4:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
- $191,800 - $263,670**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago -
$172,600 - $237,270**
Zone 3:
All other US locations -
$163,000 - $224,070**
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
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. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
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: Maputo
About GiveDirectly
What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need?
Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid.
Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question:
is this doing more good than giving the money directly to people living in poverty?
We’re growing fast, and this is a rare and important moment to join.
We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress.
How we work
Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated:
Recipients first.
Recipients’ preferences come before those of donors or ourselves.
Team next.
We optimize for organizational success, not individual success.
Be proactively candid.
We say what we believe and share information openly.
Create positive energy.
We aim to be a source of energy for colleagues, not a drain.
Think rigorously; act quickly.
We reason from first principles, then act rather than debate.
Know yourself and grow.
We own our imperfections and seek feedback to grow.
Accept reality. Propose solutions.
We focus on what can change and bring solutions, not just problems.
Be productively ambitious.
We take risks for step-change impact, not incremental progress.
If they describe how you like to work and they energize you, this could be a great fit.
Want to learn more? Read and listen:
We are one of
Time100’s
Most Influential Companies of 2026, and our work has been covered by
The Economist
,
NPR
,
TED
, and
The Washington Post
. We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows.
Read our CEO's essay
on what that will take.
GiveDirectly Mozambique is growing – delivering large lump sum transfers at scale, developing tech-enabled delivery models, and building the operational infrastructure needed to support a significantly larger program. We're looking for an Operations Lead to strengthen the support systems and staff to operate with excellence at scale. This role will lead procurement, logistics, HR, and administrative functions end-to-end, working closely with the Country Director and collaborating with Programs, Finance, Internal Audit and Safeguarding teams.
The ideal candidate combines strong operational expertise – particularly in procurement, logistics, and HR – with the leadership skills to build and mentor a growing team. You thrive in a fast-paced, non-hierarchical environment, are comfortable making decisions with limited precedent, and bring a bias toward action and practical problem-solving.
Reports to:
Country Director
Level:
Senior Manager
Travel requirement:
Regular travel within Mozambique to field offices and program sites. Must be able to travel 1-2 times per year internationally for team retreats.
What you'll do
Build and lead the Mozambique operations team
Lead the GD Moz Operations team, including procurement, logistics, administration, and HR functions.
Provide line management to the Office & Procurement Manager and Human Resources Manager, while supporting them to build high-performing, appropriately specialised teams.
Create clear roles, responsibilities, and standard operating procedures that enable the team to operate independently and at a high standard.
Build the team's capacity over time, driving best practice and coaching managers to develop operations management excellence.
Contribute to cost-effective systems for scale
Help design and build systems and processes capable of supporting a larger program, identifying future needs (e.g. strategic partnerships, team capacity, technology solutions).
Drive measurable improvements in back-office processes, running regular analyses on speed, cost, resilience and controls.
Identify and implement opportunities to use AI and other digital solutions to improve the scalability of operations.
Leadership to procurement, logistics and administration
Oversee Procurement & Administration function through the Office & Procurement Manager, identifying bottlenecks and improving systems.
Develop and support implementation of a procurement strategy to ensure an efficient, responsive, high-quality, and resilient supply of goods and services.
Lead logistics and fleet management, ensuring efficient and reliable transport and distribution across Mozambique's operations.
Oversee budgeting and procurement planning to ensure needs are forecast and operations run smoothly.
Use data to conduct analyses to identify opportunities to improve procurement and logistics efficiency and value for money.
Support compliance and risk management
Proactively identify and mitigate operational risks, maintaining a risk register and putting mitigations in place.
Ensure operations meet GiveDirectly's global policy standards and local regulatory requirements, adapting for the Mozambique context.
Work with GiveDirectly's Corporate Audit function to support internal audits and build systems for a strong control environment across assets, inventory, fleet, procurement and office security.
Closely collaborate with Finance teams for timely, efficient payment processes, facilitate external audits, and ensure compliance.
Oversee HR
Oversee HR function through the HR Manager, identifying bottlenecks and improving systems.
Support the Country Director in implementing and iterating on GiveDirectly Mozambique's people strategy to scale the team while building talent density.
Support the HR team to deliver initiatives that strengthen team culture and reinforce GiveDirectly's values as the organisation scales.
Drive best practice across recruitment, learning and development, performance management, and HR operations.
What you'll bring
Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity.
Significant experience (6+ years) in operations management, with strong expertise in procurement and logistics.
A track record of strengthening operational functions – taking systems from ad hoc toward structured, compliant, and scalable.
Strong financial and budget management skills, with experience managing operational budgets and driving cost-effectiveness.
Experience managing and developing teams, including recruiting and mentoring staff.
Experience overseeing or working closely with HR functions (recruitment, performance management, learning and development, culture building).
Comfort in a fast-paced and changing environment that involves a degree of ambiguity and requires figuring things out with limited precedent.
Highly analytical with a strong attention to detail and a bias toward data-driven decision-making.
Familiarity with INGO standards, donor compliance frameworks, internal controls, and audit processes.
Strong cross-cultural communication skills and experience working effectively in matrixed organisations.
Experience and aptitude leveraging new technologies and AI to advance operational effectiveness. Comfort with an agile and iterative approach.
Knowledge of Mozambique's regulatory environment for NGO operations, procurement, and employment law is an advantage.
Language Requirement: English fluency required; Portuguese fluency is a plus.
Working at GiveDirectly
GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.
Flagging for US applicants:
We invite you to "
Know Your Rights
" as an applicant.
Commitment to Safeguarding
As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the
Misconduct Disclosure Scheme
, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.
These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.
**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**
Reasonable Accommodations
We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.
Want to put your best foot forward on your GiveDirectly application?
Take a look at our
Candidate Application Prep Guide
!
Referrals
Know the right person for this role? Please consider
referring them
. We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!
Location: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
As an Enterprise Account Manager, you will oversee a book of 60–70 Enterprise customers (500+ employees) and own the long-term relationship, overall account health, and commercial outcomes for your portfolio. You will be responsible for maintaining and growing revenue, driving adoption across Ramp’s product suite, and ensuring customers achieve meaningful business outcomes.
You will build strong relationships at all levels of your customers’ organizations — including operators, directors, VPs, and C-suite leaders — and be skilled at managing evolving needs and product configurations. Internally, you’ll work closely with cross-functional teams to support customer initiatives, coordinate efforts, and contribute insights that help shape Ramp’s product and operational processes.
WHAT YOU’LL DO
- Own a portfolio of ~60-70 Enterprise customers, with a clear responsibility to develop strategies for expansion, driving revenue for Ramp
- Lead customer conversations across all seniority levels, including operators, finance leadership, and C-suite executives, to ensure alignment and drive strong business outcomes
- Manage renewals end-to-end, from identifying the need to solution design, positioning, and negotiation
- Create and execute scalable account plans, highlighting areas of risk, opportunity, and long-term strategy
- Run regular touchpoints — status calls, optimization reviews, roadmap conversations, and QBRs — to keep customers engaged and successful
- Collaborate cross-functionally with Product, Sales, Support, CSMs, and Solutions teams to deliver a cohesive and high-quality customer experience
- Travel occasionally for customer on-sites, events, and internal summits
WHAT YOU NEED
- Minimum 6 years of quota-carrying SaaS sales experience in a closing role with strong prospecting, qualifying, negotiating, and closing skills
- Experience managing Enterprise or large Mid-Market accounts (500+ employees), ideally in a scaled book model
- Strong familiarity with Fintech, Payments, Finance/Accounting, or B2B SaaS
- Comfortable explaining product workflows, integrations, and technical requirements to both financial and technical stakeholders
- Ability to articulate financial value — ROI, cost savings, operational efficiency, and modernization impacts
- Strong communication and relationship-building skills, including comfort working with senior leadership and the C-suite
- Track record of meeting or exceeding revenue or growth targets in a fast-paced, evolving environment
- High level of ownership, adaptability, and comfort working through ambiguity
- Willingness to travel as needed
NICE TO HAVES
- Experience in financial services sales or selling to finance teams (e.g., Office of the CFO, controllers, accounting, or expense management)
- Experience at a high-growth startup
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: San Francisco; Toronto; New York; Montreal; Seattle
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
Baseten's engineers want to work in an AI-first way. What's missing isn't enthusiasm — it's the platform underneath it. Today everyone assembles their own agent config, context files, and MCP servers, so the good patterns stay trapped in individual setups instead of becoming defaults everyone inherits.
You'll build that platform: the agent configurations tuned to our monorepo, the context and tooling layer that makes agents competent in our codebase, the evals that tell us which approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week one.
You are not here to mandate how engineers use AI — you're here to make the good path the easy path. Success looks like teams adopting what you build because it beats what they'd cobble together themselves, not because a policy requires it. Platform engineer, not AI evangelist. Ship infrastructure, measure it, kill what doesn't work, let adoption be the referee.
The playbook for AI-first SDLC doesn't exist at any company yet. You'll write ours.
EXAMPLE INITIATIVES
Agent substrate — Repo-level context infrastructure that makes agents competent in our codebase (CLAUDE.md/AGENTS.md http://CLAUDE.md/AGENTS.md conventions, architecture and domain context, and the tooling to keep it accurate as code moves). Internal MCP servers giving agents scoped access to CI, observability, incident tooling, deployment state, and docs. Shared skills, subagents, and hooks that encode Baseten workflows. Sandboxed environments where agents can build and test safely.
The golden path — Project templates and onboarding that ship with AI tooling configured and working. Self-serve infrastructure so teams build their own agents without you as the bottleneck. Gateway, auth, cost controls, and audit logging for internal model access.
The feedback loop — Eval harnesses that answer "is this config better than that one" against real Baseten tasks, not vibes. Instrumentation of AI tool usage and its downstream effects on cycle time, review latency, and change failure rate. Honest reporting, including on what you built that didn't pan out.
Agents in the SDLC — Automation where agents earn their keep: PR review triage, test gap-filling, incident context assembly, migrations and refactors, codebase Q&A. Integrating agents into CI/CD with guardrails that make it trustworthy.
RESPONSIBILITIES
- Own the internal AI developer platform end to end — architecture, build, rollout, operation, measurement.
- Evaluate and integrate third-party AI coding tools (Claude Code, Cursor, Codex, and whatever ships next quarter), and build the context layer that makes them work against our monorepo.
- Build frameworks that let other engineers create their own agents without deep LLM expertise.
- Establish the evaluation practice for AI-assisted development at Baseten, and use it to drive investment decisions.
- Drive adoption through developer experience — good defaults, clear docs, low friction — not mandate.
- Embed with teams to find where AI genuinely unblocks them, then generalize those wins into platform capabilities.
- Own the safety layer: permissions, secrets handling, audit trails, cost management.
REQUIREMENTS
- Have 4+ years of relevant industry experience building and enabling AI native SDLC
- Strong proficiency in Python and/or Go, building tools other engineers depend on daily.
- Hands-on experience with LLMs and agent frameworks — tool calling, MCP, context management, orchestration, failure handling. You've shipped something agentic that real people used, not just prototyped.
- Deep personal fluency with AI coding tools and well-formed opinions about where they break down.
- Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide.
- Developer tooling, CI/CD, and Kubernetes/Docker fundamentals.
- Comfort with ambiguity — this space invalidates its own best practices every few months.
- Excellent written communication. Much of your leverage is docs, templates, and examples that scale beyond conversations you're in.
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: United States
Workplace: Remote
We’re looking for a Staff Software Engineer to help shape AI governance for developer tooling at Coder. This role sits on our AI Governance team, which builds and maintains two enterprise-grade components of Coder's AI governance stack.
AI Gateway is a centralized LLM gateway that sits between coding agents and providers such as OpenAI or Anthropic, providing organizations with audit trails, token tracking, cost control, and centralized authentication. Agent Firewall wraps those agents with default-deny network policies, controlling which domains and methods they can reach inside workspaces.
This team works across the full stack - from Go backend and React frontend to integrating with LLM provider APIs. Day to day, you'll be shipping features, hardening security boundaries, collaborating with enterprise customers on real-world policy needs, and contributing to Coder's open-source ecosystem.
What you'll do here
- Design and build product features that push the standard for remote development in self-hosted environments
- Create and improve upon popular open source projects that integrate with VS Code, JetBrains, and other developer tools
- Champion best practices to both internal team members and external contributors
- Collaborate with Product and Design teams at Coder, as well as with partners like JetBrains, to execute key product integrations
- Document the design, implementation, and operations of systems for knowledge sharing within the team
- Work alongside Customer Success teams to support Coder’s enterprise user base
- Work with cutting-edge AI technologies to create seamless, painless developer experiences
- Rapidly iterate from prototype to implementation in a highly adaptive, reactive team environment
What we're looking for
- 8+ years of full-stack experience writing code in a professional setting, with 1+ year(s) writing Go (ideally in current or most recent position)
- Proficiency in building distributed systems in Go
- Excellent verbal and written communication skills
- Exceptional debugging and troubleshooting skills, and the tenacity to drive a solution to a conclusion
- You are self-motivated with a creative and analytical mindset
Our tech stack
- Frontend: Typescript, React, Vite
- Backend: Go, Postgres, GCP, Kubernetes, gRPC
- Observability: Prometheus, Grafana
- CI/CD: GitHub Actions
- General: GitHub, Slack, Discord, Notion
Bonus tacos if you have
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Experience with TypeScript and React
- You have a background in developer tooling, platform engineering, or IaC
- You have a curiosity about the latest tech trends and what is going on in the world of developer tools
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: Berlin Office; Bosnia; Romania; Norway; Estonia; Latvia; Netherlands; Hungary; Portugal; Poland; Serbia; Germany; Austria; Finland; Albania; Lithuania; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; Georgia; United Kingdom; Croatia; Spain; Greece
Workplace: Remote
The AI orchestration of your wildest imagination.
n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.
Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:
- Cultivated a community of more than 650,000 active developers and builders
- Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects
- Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation
That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register.
We’re in a defining moment of an incredible journey. Come and build with us.
🎯 Your main goal will be to shape and evolve the core platform architecture that powers n8n — creating scalable, configurable foundations across execution, infrastructure, and frontend platform so 80+ product engineers and our open-source community can build confidently across cloud and self-hosted deployments.
Working across our platform teams, you’ll bring architectural coherence to the systems they jointly own and help us make the right long-term technical decisions as n8n scales:
ARCHITECTURAL DIRECTION ACROSS CORE PLATFORM
- Drive architecture across the two Core Platform teams, ensuring execution, infrastructure, data, and frontend platform systems evolve as a coherent whole rather than independent components.
- Design highly adaptable backend foundations that support different workloads, deployment models, shared product team needs, and future scale without creating unnecessary complexity.
- Partner with the FE platform workstream on core canvas architecture, real-time communication, performance, plugin contracts, and other platform primitives used by product teams.
EXECUTION, DISTRIBUTED SYSTEMS & DATA FOUNDATIONS
- Evolve core subsystems including durable workflow execution and state, orchestration, queue and task distribution, worker management, scheduling, and horizontal scaling.
- Design for correctness and resilience across distributed environments, including failure modes, idempotency, state transitions, tenant isolation, and reliability guarantees.
- Shape our data and persistence architecture, including database scaling, sharding, migration strategies, deployment abstractions, and long-term operational maintainability.
PLATFORM ARCHITECTURE & ENGINEERING ENABLEMENT
- Lead consequential technical decisions through clear proposals and RFCs, making trade-offs explicit and aligning engineers and stakeholders around durable solutions.
- Define stable platform interfaces and abstractions that reduce coupling, support safe migrations, and make the platform easier for feature teams to build on.
- Mentor engineers across all engineering teams through design reviews, pairing, and technical guidance, raising the bar for architecture, system design, and maintainability.
REQUIREMENTS
MUST-HAVES
- 🏗️ Staff-level architectural ownership: You have a track record of leading architecture across multiple systems or teams, including migrations, re-architectures, or foundational platform initiatives with long-term organizational impact.
- 🧠 Systems thinking: You reason deeply about invariants, correctness, failure modes, boundaries, and trade-offs, and you’re comfortable making decisions where there is no obviously perfect solution.
- ⚙️ Configurable systems at scale: You’ve designed highly configurable, adaptable systems that serve multiple use cases or operating modes without becoming brittle or excessively complex.
- 🌐 Distributed systems depth: You’ve designed and operated distributed systems involving concepts such as asynchronous processing, idempotency, state machines, queues, consistency, and resilience.
- 🗄️ Data architecture at scale: You’ve worked on data-intensive systems where persistence, performance, isolation, migrations, and operational reliability were meaningful architectural concerns.
- 🛠️ TypeScript & Node.js depth: You have strong TypeScript experience and have built substantial backend systems with Node.js beyond conventional CRUD applications.
- 🤝 Cross-team technical leadership: You influence through technical judgment, clear communication, RFCs, design reviews, and mentorship, helping multiple teams converge on better solutions without relying on formal authority.
- 🧱 Platform enablement mindset: You care about creating clear contracts, abstractions, and developer experiences that allow other engineers to move faster and more safely.
- 🧹 Long-horizon engineering: You’re energized by modularization, migrations, refactoring, and evolving existing systems while keeping the product and engineering organization moving.
NICE-TO-HAVES
- 🧰 Workflow, orchestration or devtools experience: You’ve worked on workflow engines, orchestration platforms, developer tools, or infrastructure-heavy SaaS products.
- 🖥️ Frontend platform architecture: You’ve worked with architecture-heavy frontend systems such as canvas applications, plugin systems, real-time applications, web workers, or complex rendering environments.
- 🧾 Durable execution patterns: You’ve designed or operated systems using event sourcing, sagas, durable execution, or related state-management patterns.
- 👥 Multi-tenant architecture: You’ve designed systems where tenant isolation, resource management, data boundaries, or noisy-neighbour concerns were important.
- 🌍 Open-source experience: You’ve contributed to or maintained open-source software and understand the additional pressure around public contracts and backward compatibility.
- 📈 Large-scale SaaS exposure: You’ve operated systems at meaningful scale or worked in environments where reliability and architectural decisions had broad customer impact.
- 🧩 Monolith → modular migrations: You’ve decomposed monolithic systems or led incremental architectural migrations without preventing product teams from continuing to ship.
- ☁️ Multi-deployment awareness: You’ve designed products that need to work consistently across both managed cloud and self-hosted environments.
- 🔭 Observability mindset: You think about instrumentation, debugging, incident response, rollout safety, and operability as part of system design rather than an afterthought.
- 🧪 Strong CS grounding: You bring deep knowledge of distributed systems concepts, consistency models, consensus, formal methods, or similarly rigorous approaches to system correctness.
Why join us?
At n8n, you’ll work on the foundations that almost every product experience depends on. You’ll have influence across two Core Platform teams, helping shape how our execution engine, infrastructure, data architecture, and frontend platform evolve together as both our product and engineering organization scale.
This is a Staff role with real architectural leverage: you’ll tackle problems that span team boundaries, evolve systems that already operate at meaningful scale, and create platform capabilities that make 80+ engineers more effective. You’ll do that in a remote-first environment that values autonomy, thoughtful experimentation, and engineers who influence through strong technical judgment rather than hierarchy.
Sound like the kind of platform challenge you want to own?
Apply now — and help us build the future of automation.
n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.
We can sponsor visas to Germany; for any other country, you need to have existing right to work.
Our company language is English.
You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).
Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future.
BENEFITS
- Competitive compensation 💸 – We offer fair and attractive pay.
- Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.
- Work/life balance 🏖️ – We work hard but ensure you have time to recharge:
- Europe: 30 days of vacation, plus public holidays wherever you are.
- US: 20 vacation days, 8 sick days, plus public holidays wherever you are.
- Health & wellness 🩺 –
- Europe: We provide benefits according to local country norms.*
- US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.
- Future planning 💰 –
- Europe: We provide pension contributions according to local country norms.*
- US: 401(k) retirement plan with a 4% employer match.
- Financial security 🛡️ –
- Europe: We provide benefits according to local country norms.*
- US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.
- Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.
- A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!
- Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.
- Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.
- Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.
*Country and/or State specific details provided in your employment agreement.
Location: San Francisco; Toronto; New York; Montreal; Seattle
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
Baseten is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organization. As an early member of the Observability Team, you will be pivotal in building and shaping the observability experience for our internal and external customers. By joining this team, you’ll have a direct impact on the reliability and operational excellence of Baseten's product systems.
As Baseten scales its infrastructure across different cloud providers and diverse hardware, the volume and complexity of operational data is growing by orders of magnitude. This team is responsible for building high-throughput ingest pipelines, cost-efficient storage, and agentic diagnostic tools to ensure that we can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become more complex.
RESPONSIBILITIES
- Design and build scalable telemetry ingest and storage pipelines for metrics, logs, and traces across Baseten’s multi-cloud infrastructure
- Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth
- Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services
- Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise
- Partner with Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization
REQUIREMENTS
- Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others
- Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale
- Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems
- Have strong proficiency in at least one of Python, Rust, or Go
- Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities
- Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting
- Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges
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: Remote - US West
About the Job:
As a Strategic Account Executive, you will own the relationship with the most strategic customers in your territory. You will play a significant role in the expansion of growth within these accounts. You should be business oriented, customer focused, and a self-starter who works well with little supervision.
Responsibilities:
Ownership of Strategic Accounts: You will be the primary point of contact and relationship owner for several strategic accounts at LaunchDarkly (~8 total)
Territory and Account Planning: Develop comprehensive territory and account plans,
proactively drive
outbound pipeline generation independently, and collaborate effectively with Business Development Representatives.
Ensure Successful Adoption: Ensure the seamless adoption of LaunchDarkly within these large enterprises through robust account management. Coordinate closely with pre-and-post sales engineering, customer success, and support teams to guarantee client satisfaction.
Elevate LaunchDarkly's Visibility: Increase LaunchDarkly's visibility and communicate our value proposition effectively to Vice Presidents and C-Suite executives.
Collaboration with Solutions Engineers: Work closely with your solutions engineer counterpart to deliver both business and technical value to prospects and customers.
Cross-functional Collaboration: Collaborate with internal teams, including product support, developer relations, marketing, and revenue operations, to align our offerings with customer business needs effectively.
About You:
Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities.
Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly.
Intellectual Curiosity and Ambition: You have a hunger for knowledge and strive for ambitious goals.
Excellent Communication: Your written and spoken communication skills are outstanding.
Highly Organized & Autonomous: You are capable of efficiently managing your workload and thrive in an environment that encourages autonomy.
Adaptability: You excel in a fast-paced and dynamic organizational setting.
Qualifications:
8-10+ years of Strategic Sales Experience (closing), preferably within the B2B technology sector.
Experience navigating complex deals over $1M.
You have a demonstrable track record of consistently meeting or exceeding quota expectations of 1M+.
You possess the expertise to navigate consultative sales cycles with Executive-level stakeholders at Fortune 500 companies.
You have experience implementing and succeeding with a Land & Expand SaaS Sales strategy, effectively expanding business within large accounts (1M ARR+).
Recent experience working for an emerging technology software company is a significant plus.
Familiarity with and experience using the MEDDPIC sales methodology is advantageous.
Travel: expected range of 25% to 50% as needed
Pay:
Target pay ranges based on Geographic Zones* for Level 4:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
- $336,800 - $371,000**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago -
$303,100 - $334,000**
Zone 3:
All other US locations -
$286,300 - $315,000**
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
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. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
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: Remote - US
About the Job:
Feature management and experimentation have converged into a single market, and the buying dynamic at the top has shifted. Engineering teams are no longer the sole evaluator — data scientists and data-focused PMs now carry equal weight on the largest deals. The bar for statistical depth, warehouse ergonomics, and experiment-first workflows is rising quickly.
In traditional experimentation we have built the foundation: a trusted runtime control plane, a growing experimentation engine, and early warehouse-native capabilities. We are winning lower-maturity buyers at healthy rates. We are not yet consistently winning the most sophisticated data organizations. Closing that gap is the job.
In AI experimentation, we have an early lead: the AI-native tooling category has invested in evaluation and conceded production experimentation, and we already have the primitives (statistical significance, multi-armed bandits, experiment-aware guardrails) that no AI-native competitor ships. Extending that lead is the other half of the job.
This leader will own whether LaunchDarkly becomes the definitive experimentation platform in an AI-accelerated world.
Responsibilities:
Own the Experimentation pillar.
Direct leadership of the Product team. Partner with Engineering and Design counterparts in a triad model. Accountable for the pillar's strategy, roadmap delivery, and commercial outcomes. Make the investment case across the in-product experimentation experience, the warehouse-native analysis layer, and the infrastructure that scales them.
Make experimentation the measurement layer of the AI SDLC.
Partner with our AI product, observability, and core feature management leaders to productize the capabilities we already have as AI-native primitives. Build a closed loop from offline evaluation through production experiments, to automatic promotion and rollback, to a self-improving feedback loop for agents.
Win the high-maturity buyer.
Earn the technical confidence of senior data scientists and data-focused PMs. Decide what statistical depth, warehouse coverage, and experiment-first workflow capabilities are non-negotiable, and get them shipped on a timeline that wins pivotal reference deals.
Make warehouse-native a weapon.
Expand coverage across major data warehouses and query layers. Deliver parity on analysis-only mode, variance reduction, ratio and percentile metrics, exposure validation, and arbitrary-window analysis.
Operate a high-performing function.
Run a disciplined roadmap, ship predictably against quarterly commitments, drive AI-assisted engineering productivity inside the org, and hire where gaps exist.
Be the external face of the category.
Credibly represent the product with Data scientists, PMs, experimenters, analysts, and partners. Translate the strategy to the field and equip sales to win head-to-head.
How you'll be measured:
Win rate on experimentation-involved deals, especially head-to-head competitive evaluations — step change in the first year, sustained improvement thereafter.
Reference-grade customers at the top of the maturity curve, including named strategic logos.
Monthly active customers and active-account ARR growth against plan.
Experimentation attach rate on new and expansion enterprise deals.
Engineering throughput — roadmap delivery velocity and AI-assisted development adoption inside the function.
Qualifications:
Senior product leader (GM, VP, or equivalent) with a track record of owning a product line that competes on statistical rigor and data infrastructure.
Deep, operator-level fluency in experimentation methodology: causal inference, variance reduction, ratio metrics, sequential testing, exposure design, multi-armed bandits, and composite/multi-objective metrics — and the realities of running these at scale against production data warehouses and against non-deterministic systems where output variance, not just user variance, drives sample-size and significance decisions.
Has earned credibility with data science leaders and experimentation specialists at sophisticated organizations — and can recruit them.
Has led a function that includes engineering, design, and data science. Comfortable setting a multi-quarter roadmap, championing investment allocation, and reporting results to an executive team and board.
Clear, direct communicator. Decides fast with incomplete information. Prefers shipping and learning to requirements documents.
Opinionated about where experimentation is going in an AI-native world — and specifically, how agents and autonomous systems will use experimentation infrastructure differently than human teams do.
Preferred Qualifications:
You have built or scaled experimentation at an organization where it was core infrastructure, not a secondary analytics capability.
You have personally won competitive evaluations where a sophisticated data-science organization was the deciding voice.
You have shipped warehouse-native data products and understand the operational realities of running experiments directly against customer data infrastructure.
You see experimentation as how software teams prove that any change — whether built by a person or an AI agent — actually worked. That evidence layer is core infrastructure, not a reporting afterthought.
Pay:
Target pay ranges based on Geographic Zones* for Level M5:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
-
$
301,000 - $414,000
**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $
271,000 - $373,000
**
Zone 3:
All other US locations - $
256,000 - $352,000
**
All Zones inclusive of 20% Bonus
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
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. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
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: 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:
Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.
We are seeking a Strategic Finance professional to join Replit's growing team in Foster City, CA. In this critical role, you'll work in a lean team supporting high-impact strategic and operational initiatives across the business to drive data-driven decision making. You’ll partner directly with executive leadership and the Board to align financial strategies with our ambitious growth objectives. This role reports to the Head of Finance.
ROLES & RESPONSIBILITIES:
You'll contribute to critical projects across three main core areas:
Internal Strategic & Operational Initiatives
- Cross-Functional Partnership: Partner with Sales, Marketing, Support, Product, and Engineering teams to build financial models and analyses that drive organizational decision-making
- New product launches: Build and present financial models, business cases, and investment analyses for new product launches
- GTM Finance: Partner with go-to-market leadership to drive growth through sales capacity planning, funnel and pipeline analytics, pricing strategy and resource allocation
- Pricing & Packaging: Analyze pricing and packaging strategies using quantitative and qualitative frameworks to recommend optimal approaches
- Unit Economics: Recommend strategies that balance growth investments with operational efficiency to achieve long-term margin targets
- International Growth: Analyze global expansion opportunities including localization, regional pricing strategies, go-to-market approaches, and commercial partnerships
- Enterprise Sales: Partner with sales leadership to scale enterprise sales operations and strategy
Corporate Strategy & Planning
- Long-Range Planning: Collaborate with FP&A team on forecasting, financial planning, long-range planning, growth headcount planning, and overall financial strategy
- Board Reporting: Assist in preparing quarterly board materials and presentations
- Market Insights: Conduct competitive analysis and industry research to inform strategic planning
Corporate Development & Investor Relations
- Corporate Development: Support corporate development initiatives including M&A, joint ventures, and strategic partnerships from initial sourcing through execution and integration
- Investor Relations & Fundraising: Support investor relations activities including fundraising, investor communications, and preparation of materials for investors
REQUIRED SKILLS AND EXPERIENCE:
- 3-6 years in investment banking, private equity, consulting, business operations, and/or strategic finance
- Experience with SQL, Python, or other data analysis tools
- An entrepreneurial mindset with the ability to operate in ambiguous, fast-moving environments
- Self-directed with a strong work ethic and ability to manage multiple projects under tight deadlines
- Expert-level financial modeling skills and proficiency with business intelligence tools
- Strong presence and communication skills
- Exceptional business judgment with the ability to synthesize complex data into actionable strategic insights
Join Replit and help shape the financial future of a platform that's revolutionizing how people learn, build, and deploy software with AI.
BONUS POINTS:
- Experience in strategic finance or related field at a scaling technology company
- Current Replit user
- Background in AI or enterprise technology companies
- Understanding of compute and infrastructure costs in tech environments
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: Remote - US
About the Job:
LaunchDarkly is seeking a Senior Director, Revenue Accounting and OTC Operations to lead our global revenue accounting organization. In this role, you will proactively partner with GTM, Legal, Deal Desk and Product to define the strategy and operating model for how we quote and contract, and design policies and systems that support scalable and predictable growth, reduce friction for customers and internal teams, and protect revenue quality.
You will be responsible for order management, billings, collections, revenue and commissions accounting, ensuring accurate metrics and financial reporting, and strong internal controls and compliance with U.S. GAAP in recognizing revenue.
This role is ideal for a strategic, hands-on revenue accounting leader with a customer-centric mindset, who is comfortable driving change across multiple functions at scale, and combines deep technical revenue accounting expertise with operational leadership, exceptional communication skills, and the ability to influence across an evolving organization.
Responsibilities:
Lead the global revenue accounting and OTC operation functions and help shape the controllership roadmap in support of company growth and operational maturity
Own the accounting for all revenue streams and commissions, including the monthly, quarterly, and annual close process to ensure timely and accurate financial results and metrics reporting
Serve as the company's subject matter expert on revenue recognition, providing technical guidance to executive leadership and GTM business partners
Collaborate closely with the Data team on metrics reporting (including ARR, NNARR, ACV), and FP&A on forecasting assumptions and other matters affecting revenue accounting
Partner closely with GTM, Deal Management, Legal and Product to define contract structures and approval matrix to support a scalable deal process with a balance of strong governance and a practical and business-oriented approach
Strengthen the company’s internal control environment, including SOX readiness and execution, process documentation, control design, and remediation efforts where needed
Be responsible for managing the annual external audit for revenue related areas and partnering with auditors to ensure efficient execution and high-quality deliverables
Lead the design and execution of scalable OTC workflows and system processes that improve accuracy, reduce manual effort, and support a high-growth SaaS environment
Partner with Technology teams and business stakeholders on ERP and system enhancements, integrations, and reporting improvements
Build management reporting and KPIs for the revenue accounting organization to improve visibility into efficiency, quality, and operational capacity
Mentor, develop, and retain a high-performing accounting team, creating clear accountability, strong development paths, and a culture of operational excellence
Serve as a trusted partner to leadership by balancing strong governance with practical, business-oriented problem solving
Qualifications:
12+ years of progressive accounting experience, including a mix of Big 4 public accounting and industry leadership experience in multi-entity, public-company SOX environment
Hands-on systems orientation, with experience improving ERP workflows, reporting, and automation across accounting processes. Experience in NetSuite (or similar ERP), CPQ and SFDC
Strong knowledge of U.S. GAAP, ASC 606, revenue cycle operations, internal controls, close processes, and financial reporting requirements
Demonstrated success leading teams through scale, process improvement, and organizational change
Experience building and improving OTC cycle operations in a fast-paced SaaS or technology company
Demonstrated track record of driving process transformation through automation, data, and AI enabled solutions
Proven ability to partner cross-functionally and influence outcomes across Finance, Product, Legal, Sales, and executive leadership without direct authority
Strong executive presence, sound judgment, and the ability to communicate clearly with senior leaders and auditors
Ability to move between strategic leadership and detailed execution with a high degree of ownership
Pay:
Target pay ranges based on Geographic Zones* for Level M5:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
- $214,800 - $295,350**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago -
$193,400 - $265,870**
Zone 3:
All other US locations -
$182,600 - 251,020**
All Zone Inclusive of 20% Bonus Target
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
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. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
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
.
adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is a programmatic in-app advertising platform connecting advertisers and publishers through Android and iOS SDKs. The User Experience team owns native Kotlin and Swift code running inside publisher apps, participating in 120 million daily auctions and capturing behavioral signals powering 50 billion predictions per day. The team also manages analytics dashboards, investigation tools, and data frameworks for real-time revenue performance, infrastructure cost visibility, and data quality assessments.
Your Mission & Who We Are Looking For:
— 5+ years of data analysis experience with senior leadership, mentoring junior/mid-level analysts, and bridging business ideas to technical solutions.
— Design and automate reliable, scalable data pipelines and workflows using dbt and Airflow for real-time performance reporting, data quality control, and regulatory compliance.
— Mastery of SQL (Window Functions, CTEs, deeply nested JSON/Map types) to optimize Trino/Athena queries over 5TB+ daily data volumes for speed and cost-efficiency.
— Deep Python expertise for complex, memory-efficient data manipulation and statistical modeling to handle massive daily data volumes.
— Apply Python-driven statistical methods (Power Analysis, P-values, Bayesian frameworks) for rigorous evaluation of SDK-side experiments and feature rollouts.
— Combine data visualization and technical storytelling to translate complex analyses and operational findings into actionable recommendations for stakeholders.
Relocation support to Hamburg, Germany is provided for candidates worldwide ready to join the team.
Location: United States (Remote); San Francisco Bay Area, CA; Seattle, WA
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.
ABOUT THE ROLE
We are looking for our first Data Engineer to build Teleport's internal data platform. You will design and own the pipelines and warehouse that turn raw data from across the company, including product usage, production costs, budgets, and sales, into data that any team can use to answer their own questions.
You will work closely with teams across the company, including product, engineering, finance, and revenue, to understand their data needs and deliver reliable, well-modeled data they can depend on.
WHAT YOU'LL DO
- Design and operate a low-maintenance cloud data warehouse and transformation workflow.
- Evaluate managed connectors, source exports, and native cloud services before building custom ingestion software.
- Model data from CRM, contracts, finance, billing, product usage, and cloud infrastructure into coherent business entities and metrics.
- Establish canonical customer identity and mappings between accounts, tenants, billing entities, and other source-specific identifiers.
- Partner with Finance, Revenue, Product, and Engineering to define concepts such as ARR, adoption, infrastructure cost, and gross margin.
- Build data quality checks, reconciliation, documentation, lineage, and observable failure behavior into the system.
- Protect customer and employee information through appropriate access control, minimization, redaction, and retention practices.
- Manage warehouse performance and cost, and keep the platform understandable and operable by a small team.
- Use Python or Go for integrations that cannot be handled safely and economically by managed or warehouse-native capabilities.
WHAT WE'RE LOOKING FOR
- Willingness to work collaboratively with Teleport's engineers on Data Engineering Challenge https://github.com/gravitational/careers/blob/main/challenges/data-engineer/challenge-1.md to design and build an analytics warehouse for a fictional business.
- Builder mentality; experience building a data engineering function from scratch at a growing startup is highly desirable.
- Strong SQL and dimensional or analytical data-modeling expertise.
- Experience translating ambiguous stakeholder questions into documented, testable business definitions.
- Production experience with dbt or an equivalent SQL transformation workflow.
- Experience with a cloud data warehouse such as Redshift, Snowflake, or BigQuery.
- Experience with managed ELT, APIs, object storage, incremental loading, and source schema evolution.
- Strong data-quality and reconciliation practices, including explaining how published numbers relate to their sources.
- Experience handling sensitive data, access control, and retention responsibly.
- Practical experience with Python or Go, CI/CD, infrastructure as code, and cloud operations.
- Sound judgment about build vs. buy decisions, operational simplicity, and managing scope in a startup environment.
- Intellectual curiosity and a willingness to master new technologies.
- Comfortable changing the area of focus and working directly with stakeholders across the company.
- No-ego mindset of collaboration, transparency, and seeking feedback from others.
HOW WE HIRE
Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do.
For this role, we use a take-home challenge that mirrors real work at Teleport — on your time, your way. You'll have support from the team throughout.
1. Zoom meeting with a Teleport recruiter. You’ll learn about the company, our products, compensation philosophy, interview process, and key requirements.
2. Zoom meeting with the Hiring Manager. The Hiring Manager will walk you through the data engineering challenge and answer your questions.
3. Challenge collaboration. The day after your meeting with the Hiring Manager, you join a Slack channel and complete a Data Engineering Challenge https://github.com/gravitational/careers/blob/main/challenges/data-engineer/challenge-1.md using GitHub. The challenge usually takes about 2 weeks and ends with a Zoom meeting with the Hiring Manager and a member of the interview team to review your solution.
4. If your challenge solution meets our bar, you'll receive an offer to join Teleport.
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: United States; Canada (BC & ON only)
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
We’re looking for a Sr. Manager, Corporate Sales to lead and scale Webflow’s strategic , full-cycle sales motion within our West Coast Corporate segment. In this role, you will drive strategy and execution for a team of Account Executives responsible for prospecting, pipeline generation, and closing new business, while ensuring a seamless, efficient, and high-performing sales process.
You will recruit, develop, and coach top-performing AEs, fostering a culture of continuous improvement, accountability, and excellence. You will work closely with key cross-functional partners across Marketing, RevOps, Enablement, and Customer Success to build and refine programs that accelerate revenue growth, optimize funnel efficiency, and deliver exceptional customer experiences.
The ideal candidate is both a strategic thinker and a hands-on leader who thrives in fast-paced environments, is passionate about developing talent, and is eager to build a best-in-class Corporate segment that drives meaningful impact for Webflow’s customers and business.
ABOUT THE ROLE:
- Location: Remote-first (United States; BC & ON, Canada)
- Full-time
- Permanent
- Exempt
- Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location.
- United States (all figures cited below in USD and pertain to workers in the United States)
- Zone A: $297,000 - $350,000
- Zone B: $276,000 - $325,000
- Zone C: $255,000 - $300,000
- Canada (figures cited below are in CAD and pertain to workers in ON & BC, Canada)
- 319,000 - 375,000
For sales roles, the ranges provided are the role’s On Target Earnings (“OTE”) ranges, meaning that the ranges include both the sales commissions target and annual base salary for the role. This salary range may be inclusive of several career levels at Webflow and will be narrowed during the interview process based on a number of factors, including the candidate’s market location, job related experience, knowledge, qualifications, and skills. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends
Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for an existing vacancy
- Reporting to the Director, Corporate Sales
As a Sr. Manager, Corporate Sales you’ll …
- Lead a team of Corporate Account Executives and oversee recruiting, interviewing, coaching, and mentoring to ensure the team exceeds goals and targets.
- Provide hands-on support by joining client meetings, leading key conversations, and coordinating internal resources to remove obstacles.
- Host regular team meetings to review the sales pipeline, forecast performance, discuss strategy, and deliver sales and product training.
- Offer consistent coaching for early-career Account Executives, focusing on prospecting, pipeline generation, sales calls, deal navigation, and closing strategies.
- Foster a collaborative, energetic team culture that encourages high performance, learning, and shared success.
- Maintain a feedback loop between Sales and Engineering, Marketing, Post-Sales, and Support teams to drive continuous improvement.
- Partner with Solutions Engineering, Customer Success, and Partnerships teams to align on sales strategies and operational processes.
- Collaborate with Customer Success to ensure a seamless handoff and exceptional customer experience between pre-sales and post-sales stages.
- Identify product and technology gaps through customer interactions and communicate insights to Webflow’s Product and Leadership teams.
- Regularly report on team performance, key metrics, customer insights, challenges, and sales forecasts.
- Travel up to 25% - primarily for onboarding, industry events, and internal offsites
ABOUT YOU:
Requirements:
- 5+ years of experience in B2B SaaS sales, with at least 2 years in a frontline sales leadership or management role
- Background in managing mid-market sales motions with measurable impact on new logo acquisition & ARR growth
- Proven track record of leading Account Executive teams to consistently exceed pipeline and revenue targets
- Demonstrated success in hiring, onboarding, and developing high-performing sales talent
- Experience working with cross-functional teams such as Marketing, Customer Success, Product, and Engineering
You’ll thrive as a Sr. Manager, Corporate Sales if you:
- Have strong coaching and mentoring skills, with a passion for developing early-career sales professionals
- Communicate clearly and confidently in both internal and external settings
- Understand the full sales cycle, from prospecting and discovery through negotiation and closing
- Are proficient in CRM systems (such as Salesforce), forecasting tools, and sales analytics
- Know how to analyze team performance metrics and turn insights into actionable strategies
- Can navigate complex deals and align multiple stakeholders to drive outcomes
- Lead with empathy and collaboration, building trust and empowering your team to succeed
- Bring strong business acumen and a strategic, data-driven mindset to decision-making
- Take ownership and demonstrate accountability while maintaining a bias for action
- Foster a positive, inclusive team culture centered on learning, growth, and shared success
- Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
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. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
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