Location: United Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load.
Working closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems. The environment is high-scale and high-stakes — systems serve millions of users and must meet strict reliability, latency, and correctness standards.
This is a deeply production-oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.
THE OPPORTUNITY
- Design and build the infrastructure layer powering AI agent systems in production
- Develop high-performance Rust services that handle model inference, orchestration, and execution
- Architect scalable systems capable of supporting millions of users and high request throughput
- Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring
- Define guardrails, observability, and failure handling for agent-driven workflows
- Optimize latency, throughput, and cost across inference and orchestration layers
- Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems
- Contribute to foundational infrastructure decisions in a high-scale, high-impact environment
WHAT YOU BRING
- 5+ years of experience building and operating high-scale production systems
- Strong proficiency in Rust and systems-level programming
- Deep understanding of distributed systems, reliability engineering, and performance optimization
- Experience operating services serving millions of users or high-throughput workloads
- Familiarity with ML infrastructure, model serving, or MLOps in production environments
- Experience designing observability, monitoring, and failure recovery systems
- Strong collaboration skills working across infrastructure and applied engineering teams
- High ownership mindset in high-stakes production environment
NICE TO HAVES
- Experience building infrastructure for agent-based or LLM-powered systems
- Background in high-performance networking, async systems, or low-latency architectures
- Experience with container orchestration and cloud-native infrastructure
- Familiarity with evaluation frameworks and model performance monitoring at scale
- Experience working in fast-moving 0→1 or platform-building teams
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: United States; Canada
Workplace: OnSite
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview
As a Member of Technical Staff in Post-Training Data Infrastructure, you will build and own the pipelines that produce the post-training data for our large language models (LLMs), from SFT and RL data to synthetic and human-annotated data. You will work closely with researchers and annotation teams so they can iterate on data as quickly as they iterate on models.
Key Responsibilities
- Build and maintain data pipelines for SFT, preference, and RL post-training data.
- Own dataset quality, versioning, and reproducibility.
- Turn research data recipes into production-grade, reusable components.
- Scale model inference for data generation and model-based grading.
- Design data formats and schemas that keep post-training datasets consistent and efficient to train on.
- Collaborate with researchers and engineers to make sure data pipelines keep pace with the needs of cutting-edge language models.
Qualifications
- Strong software engineering skills.
- Experience designing and building large-scale data pipelines for machine learning, ideally for LLM post-training.
- Track record of running distributed data processing and model inference at scale.
- Good understanding of post-training methods (e.g., SFT, RLHF, DPO) and how data shapes model behaviour.
- Excellent communication skills.
This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We value diverse backgrounds and perspectives at Cohere
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Europe; New York; Toronto
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Key Overview:
As a Member of Technical Staff in Post-Training, you will train our large language models (LLMs) with reinforcement learning and develop methods that help them generalize beyond the distribution they were trained on. You will design the training recipes, environments, and evaluations that tell us whether a model has truly learned a skill or has only fitted its training tasks, and turn what works into the recipes behind our production models. You will work closely with the post-training data infrastructure, evaluation, and pre-training teams.
Key Responsibilities
- Design, run, and analyse large-scale RL post-training experiments (e.g., RLHF, RL from verifiable rewards).
- Research and develop methods that improve out-of-distribution generalization, such as reward design, environment and task diversity, curricula, and regularization.
- Build held-out evaluations that measure generalization to unseen tasks, domains, and formats, and that catch reward hacking and benchmark overfitting.
- Diagnose training dynamics and failure modes, including instability, reward over-optimization, and capability regressions.
- Turn successful research into robust, reproducible training recipes for production models.
Qualifications
- Strong research and software engineering skills, with hands-on experience training LLMs.
- Experience applying reinforcement learning to LLMs (e.g., PPO, GRPO, RLHF, RLVR), ideally at scale.
- Track record of work on generalization, robustness, or distribution shift, through publications or shipped models.
- Rigorous experimental practice: clean ablations, careful controls, and sound conclusions from noisy results.
- Experience with distributed training (e.g., JAX, PyTorch, FSDP, Megatron) is a plus.
- Excellent communication skills.
- Deep understanding of data quality principles and best practices: demonstrates willingness to dive deep into data while possessing strong intuition for assessing the quality of datasets and anticipating how different data characteristics will impact model training outcomes.
Working Location
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Figma is looking for a Director of Product Communications to help shape the product and technology story for one of the most beloved products in tech. This is a chance to build a new approach to product communications. You will connect earned media with editorial, social, community and events; decide where each story belongs; and lead a growing team responsible for telling Figma’s product story. We are looking for someone who has worked inside a product-led company, brings curiosity and creative judgment and can partner with senior leaders while staying close to the product.
This is a full-time role based in our San Francisco hub, with an expectation to work in the office 2–3 days per week.
What you’ll do at Figma:
Shape a clear narrative for Figma that helps broader audiences understand our products and market position
Build integrated storytelling across earned media, editorial, social, community, podcasts, events, and other relevant channels
Partner closely with Product and Engineering to find and explain meaningful product and technical stories
Lead storytelling for key product moments, connecting launches to a lasting product narrative
Find opportunities for Figma to contribute to conversations about design, technology and AI.
Advise executives and senior partners on product storytelling, audiences, channels, and timing
Collaborate with Product Marketing, Brand, Community, executive communications, and international communications colleagues
Manage and develop a growing product comms and storytelling team
We’d love to hear from you if you have:
Experience leading product communications from inside a product-led organization
A track record of managing people and building or developing high-performing teams
A deep understanding of how stories travel across mediums: earned media, social, editorial and more.
Strong judgment and past experience working with senior leaders, Product, and Engineering partners
While not required, it’s an added plus if you also have:
Familiarity with Figma or the design and product development ecosystem; experience adapting stories across cultures and markets; or experience with emerging editorial, creator, and community platforms.
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$235,000
—
$317,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Toronto; Ottawa; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
WHY THIS ROLE?
The Cohere Dashboard is the control center for Cohere users and the starting point for many on their journey with Cohere. Here, they can access our models, manage API keys, manage teams, audit billing and explore our docs. In this role, you'll collaborate with internal partners to craft a delightful, intuitive, and unified experience across everything the Cohere Dashboard offers. Join our team of builders who are shaping the future of large language models!
AS A FULL-STACK SOFTWARE ENGINEER ON THE COHERE DASHBOARD TEAM, YOU WILL:
- Work with a small talented and enthusiastic team of software engineers
- Contribute to delightful experiences for our user-facing products, meticulously crafting code for browsers and servers
- Collaborate and grow with your engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation and talks
- Identify and remove roadblocks to enable your team to increase its engineering velocity
- Build resilient systems that are mission-critical
- Keep up with the cutting edge and adopt new technologies to improve performance and reliability
YOU MAY BE A GOOD FIT IF:
- You have experience shipping products with a large number of stakeholders
- You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python
- You have hands-on experience with complex SQL queries
- You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs
- You’re excited to add new technologies to your toolbox and use them where it makes sense
- You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences
- You’re excited about AI and have the motivation to scale a company
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Remote - Canada
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
About the problem space
AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working."
Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering.
Little more about the team:
You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place.
What you'll do
You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first.
Ship automated workflows end to end
Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't.
Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work."
Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring.
Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing.
Build the shared substrate as you go
Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance.
Build on the Data team's existing infrastructure rather than standing up parallel systems.
Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively.
Make the company fluent
Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns.
Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating.
Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows.
Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked.
Keep it safe and governable
Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment.
Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines.
What you'll bring
Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily.
Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable.
The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work.
A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making.
Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk.
Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are.
Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does.
Nice to have
SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling).
Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases.
Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis.
Change management experience across a distributed, multi-function company.
Interest in external evangelism — writing, speaking, podcasts, peer groups.
Base Salary based on level of experience
$310,000
—
$360,000 CAD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Remote - United States
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
About the problem space
AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working."
Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering.
Little more about the team:
You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place.
What you'll do
You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first.
Ship automated workflows end to end
Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't.
Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work."
Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring.
Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing.
Build the shared substrate as you go
Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance.
Build on the Data team's existing infrastructure rather than standing up parallel systems.
Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively.
Make the company fluent
Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns.
Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating.
Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows.
Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked.
Keep it safe and governable
Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment.
Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines.
What you'll bring
Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily.
Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable.
The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work.
A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making.
Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk.
Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are.
Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does.
Nice to have
SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling).
Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases.
Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis.
Change management experience across a distributed, multi-function company.
Interest in external evangelism — writing, speaking, podcasts, peer groups.
Base Salary based on level of experience
$225,000
—
$265,000 USD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Remote - Canada
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Little more about the team:
Honeycomb is an observability platform that helps engineering teams understand how their software behaves in production. Our Tenant team is behind Honeycomb Private Cloud, a brand new product that allows customers to have their own Honeycomb instance.
What you'll do
Own delivery of Honeycomb Private Cloud
— the infrastructure, tooling, and operational processes that let enterprise customers run Honeycomb inside their own cloud environment.
Grow the product
— we anticipate significant growth in the next year; help us meet sales goals and build relationships to support it.
Work at the customer boundary
— partner with Field Engineering, Support, and Sales on PoCs, security reviews, access negotiations, and contract asks, and help the team know when to take feedback and when to help us show the customer what good looks like.
Lead across the org
— Private Cloud depends on many engineering teams across the org. We maintain a tight drift between SaaS and Private Cloud, and this role will need to be able to understand and prioritize work that touches all parts of our engineering org.
Feedback loops for developers.
We learn a lot about Honeycomb as a product while building Honeycomb. Ensure that we push Private-Cloud-inspired tooling back into our SaaS infrastructure so each side continues to make the other better.
Build the team
— grow and develop a small, tenured, senior, very high-context team; remove the single points of failure that come with that; hire and onboard the next engineers to scale the team as the product offering scales.
What we're looking for
3+ years as an Engineering manager for a highly technical, senior team.
You have a solid track record as an engineer, influencing without authority, and leaving things better than you found them.
You've managed or led a team that carried a real production on-call rotation, and you treat operational health as a core requirement.
Experience shipping and operating software in environments you don't fully control — on-prem, private cloud, BYOC, or managed single-tenant. You know what version skew, partial telemetry, and customer security constraints do to a roadmap.
Enough Kubernetes and AWS fluency to review a design, ask the challenging questions, and be useful in an incident review. You don't need to be the person writing the Terraform.
Comfort being customer-facing with enterprise buyers: security questionnaires, access models, procurement, escalations.
Ruthless prioritization on a small team with an enormous surface area — you can name what you decided
not
to do, and why.
Hiring and onboarding engineers into a domain with a steep ramp.
Comfort with AI tooling, and a point of view on where it helps and where it doesn't.
Comfort being an escalation point for engineering emergencies as part of the Foundation leadership team
Bonus points
Familiarity with observability / OpenTelemetry (Honeycomb's domain).
You're still hands-on and enjoy contributing to and reviewing code (welcome, but it won't be your primary role here).
Background in Go, Terraform, Kafka, and large-scale data infrastructure.
FedRAMP, GovCloud, or regulated-industry compliance experience.
A field-adjacent past — solutions architecture, consulting, or deployment engineering.
Base Salary based on level of experience
$285,000
—
$320,000 CAD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Remote - United States
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Honeycomb is an observability platform that helps engineering teams understand how their software behaves in production. Our Tenant team is behind Honeycomb Private Cloud, a brand new product that allows customers to have their own Honeycomb instance.
What you'll do
Own delivery of Honeycomb Private Cloud
— the infrastructure, tooling, and operational processes that let enterprise customers run Honeycomb inside their own cloud environment.
Grow the product
— we anticipate significant growth in the next year; help us meet sales goals and build relationships to support it.
Work at the customer boundary
— partner with Field Engineering, Support, and Sales on PoCs, security reviews, access negotiations, and contract asks, and help the team know when to take feedback and when to help us show the customer what good looks like.
Lead across the org
— Private Cloud depends on many engineering teams across the org. We maintain a tight drift between SaaS and Private Cloud, and this role will need to be able to understand and prioritize work that touches all parts of our engineering org.
Feedback loops for developers.
We learn a lot about Honeycomb as a product while building Honeycomb. Ensure that we push Private-Cloud-inspired tooling back into our SaaS infrastructure so each side continues to make the other better.
Build the team
— grow and develop a small, tenured, senior, very high-context team; remove the single points of failure that come with that; hire and onboard the next engineers to scale the team as the product offering scales.
What we're looking for
3+ years as an Engineering manager for a highly technical, senior team.
You have a solid track record as an engineer, influencing without authority, and leaving things better than you found them.
You've managed or led a team that carried a real production on-call rotation, and you treat operational health as a core requirement.
Experience shipping and operating software in environments you don't fully control — on-prem, private cloud, BYOC, or managed single-tenant. You know what version skew, partial telemetry, and customer security constraints do to a roadmap.
Enough Kubernetes and AWS fluency to review a design, ask the challenging questions, and be useful in an incident review. You don't need to be the person writing the Terraform.
Comfort being customer-facing with enterprise buyers: security questionnaires, access models, procurement, escalations.
Ruthless prioritization on a small team with an enormous surface area — you can name what you decided
not
to do, and why.
Hiring and onboarding engineers into a domain with a steep ramp.
Comfort with AI tooling, and a point of view on where it helps and where it doesn't.
Comfort being an escalation point for engineering emergencies as part of the Foundation leadership team
Bonus points
Familiarity with observability / OpenTelemetry (Honeycomb's domain).
You're still hands-on and enjoy contributing to and reviewing code (welcome, but it won't be your primary role here).
Background in Go, Terraform, Kafka, and large-scale data infrastructure.
FedRAMP, GovCloud, or regulated-industry compliance experience.
A field-adjacent past — solutions architecture, consulting, or deployment engineering.
Base Salary based on level of experience
$208,260
—
$234,000 USD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
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
You'll be one of the founding data scientist on Replit's Growth team, working with Product and Engineering leadership across acquisition, activation and recommender systems, and helping shape how Replit experiments.
This role is for someone who doesn't wait to be asked. You spot problems and opportunities before anyone else does, bring a strong point of view, and push it until it changes what we build.
YOU WILL:
- Own data science for major growth areas, partnering with PMs and engineers from problem framing and sizing through launch and readout
- Make fast decisions trustworthy: we ship weekly and need a decision within days, but retention takes weeks to show up. You'll design the experiments and metrics that close that gap; for example, variance reduction (CUPED), sequential testing, and short-term proxy metrics validated against long-term retention and revenue
- Help set the experimentation standards teams rely on for Replit's highest-traffic surfaces: how metrics and guardrails are defined, and the checks that catch a broken test before it misleads anyone
- Use quasi-experimental designs (difference-in-differences, synthetic control, regression discontinuity) where randomization isn't feasible, such as pricing changes and regional launches
- Help define the data science behind an emerging personalization and recommendations workstream: problem framing, offline and online evaluation, and measuring incremental lift
- Model the economics of a freemium, usage-based product: credit consumption, conversion, and how pricing and limits change behavior
- Develop user and project segmentation from behavioral and content signals (e.g., embeddings and clustering) so growth analysis reflects what people are actually building
- Partner with Data Engineering on a shared metrics layer and experimentation tooling
REQUIRED SKILLS AND EXPERIENCE
- 6+ years in data science, with significant time on growth or experimentation for high-scale prosumer, PLG, or self-serve products
- Data science experience at a fast-growing startup, where you built metrics, datasets, and experimentation practices without much existing infrastructure
- Deep expertise in experimental design and statistical inference, including reaching reliable decisions when readout windows are short and the outcomes that matter are slow
- Experience establishing experimentation standards or platforms adopted by multiple teams
- Expert SQL and Python
- A track record of analysis that changed what a team shipped, and of influencing senior Product and Engineering leaders
- Heavy, practical use of AI tools to move faster in your own work
PREFERRED QUALIFICATIONS
- Comfortable building your own datasets in dbt;
- Pricing, packaging, or monetization analysis for usage- or credit-based products
- International or mobile growth experience
- MS or PhD in statistics, economics, computer science, or another quantitative field
BONUS POINTS
- Experience with multi-armed bandits or adaptive experimentation
- Familiarity with developer tools, AI products, or creator platforms
This is a full-time role based in our Foster City, CA office with 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: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
As a Support Specialist you are at the forefront of helping those developers create. On a given day, you’ll help our customers navigate billing questions, manage their accounts, and get the most out of Replit. You'll be the voice of our users, bubbling up patterns and feedback to Replit's Product and Engineering teams so we can keep improving. We use tools like Zendesk, Linear, Slack, Stripe, Orb and Replit itself to get the job done.
You will work on a small, global team of support specialists and engineers united by Replit's mission to make the next billion software creators. Together, you'll ensure developers worldwide have the support they need to bring their ideas to life.
IN THIS ROLE YOU WILL…
- Work directly with Replit customers via support tickets to solve account, billing, and product issues, while meeting daily ticket volume and resolution time targets
- Collaborate with the rest of the Support team in telling the story of our users to the rest of Replit
- Directly contribute to and maintain the Support’s Team's Knowledge Base
- Own and manage escalated customer interactions that are complex, sensitive, or high-impact, driving resolution across stakeholders.
- Help shape and refine support processes as the team and product continue to grow
REQUIRED SKILLS AND EXPERIENCE:
- 4+ years of customer support experience
- Experience with support platforms (Zendesk), payment systems (Stripe, Orb), and ticketing workflows
- Excellent communication skills and a proactive approach to asking questions and resolving ambiguity
- Ability to work efficiently in fast-paced, high-volume support environments
- Strong time management and ticket triage skills
- Comfortable working in a metrics-driven environment
- Able to work independently while collaborating effectively with cross-functional teams
NICE TO HAVE:
- Background in B2B SaaS customer success or support
- Has used Replit in the last 3 to 6 months.
- Experience with AI tools (Claude, ChatGPT, etc.)
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: New York; San Francisco
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
ABOUT GTM ENGINEERING:
GTM Engineering is responsible for the data, business logic, workflows, and agents that enable our Marketing and Sales teams to help customers get the most out of Modal.
Like the infrastructure beneath the Magic Kingdom https://en.wikipedia.org/wiki/Disney_utilidor_system, much of our work happens behind the scenes. We build systems that anticipate and deliver what customers need to grow on Modal.
We bring a product management, growth engineering, and data science approach to GTM, from centralizing our data platform https://deepline.com/blog/gtm-ai-nyc-chris-modal to building agents for account research https://parallel.ai/blog/case-study-modal.
We're looking for a GTM Engineer to own our GTM data platform. This role combines analytics engineering with revenue operations: you'll build the org map, people graph, and data systems that help us discover future customers and support our GTM workflows, partnering closely with our Data team on the shared foundation.
WHAT YOU'LL DO:
- Build and maintain an org map and people graph connecting companies, labs, teams, and individuals to identify researchers, engineers, and early-stage startups, including people beyond our existing users and CRM.
- Own identity resolution, enrichment, and CRM schemas so affiliations, roles, and relationships stay accurate, current, and traceable to their sources.
- Build GTM data models in Snowflake and dbt connecting people, companies, workspaces, workloads, usage, and revenue, giving reps and agents a shared foundation for customer context.
- Partner with RevOps and Marketing to define and implement metrics, data models, and business rules for routing, territory assignments, compensation, pipeline reporting, and attribution.
- Partner with Data on usage forecasts and account signals; build reproducible reporting that reconciles actuals, forecasts, human adjustments, and credited attainment.
- Build reverse ETL pipelines for ad audiences, lifecycle campaigns, CRM enrichment, outbound, and event outreach, preserving engagement history and campaign eligibility.
- Own data quality and system health, from graph coverage and stale enrichment to failed syncs and historical reporting accuracy.
- Build the tooling that helps GTM Engineering ship reliably, from development environments, automated tests, and deployments to backups and shared AI agents and skills.
WHAT YOU SHOULD HAVE:
- SQL fluency and Python proficiency.
- You already use AI coding tools and agents to build, debug, and automate your work, and help teammates do the same.
- Experience building data models and production pipelines with tools like Snowflake, dbt, Modal, or Hex.
- Hands-on experience with CRM architecture, integrations, and revenue or marketing operations.
- An understanding of how leads, accounts, opportunities, and revenue move through a business; experience with usage-based businesses is a plus.
- High attention to detail and a habit of testing, documenting, and monitoring the systems you build.
Location: Remote - Canada
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Little more about the team:
AI is changing how software gets built, shipped, and run. It is increasing the need for
sense-making
of production software systems. We believe AI will reshape observability itself. Honeycomb created this category, and we want our next engineering leader to help us lead its reinvention.
The role
You’ll join the executive team as a full partner in setting strategy. Our exec team acts as a first team, working closely together to revise our strategy as the world changes. Right now, it is changing often! You’ll bring a wealth of experience and an imagination of what’s possible, help sharpen our bets, and decide with your peers the most elegant way forward. Then you’ll shape a strong engineering org to deliver on these decisions.
What you’ll do
Shape the strategy
. Form your own view of where the product, technology and market are heading. Bring it to your closest partners: product and the CEO, and to the wider exec team. Some of our bets will need sharpening, and some new ones will need making.
Build alignment at the top
. We believe our strength as a company depends on the strength of our exec team. We want you to make our exec team better, and for your first team to be the exec team. You’ll work closely with product and the CEO, challenging and being challenged in return, until the team is truly committed to a shared direction.
Help the whole org to make sense of fast change
. When the ground moves quickly, people need help understanding what is changing and why. Burnout is high in our industry, and we want to keep our people motivated, excited to come to work, and with their full creativity and energy. You’ll explain engineering’s direction clearly and repeatedly, to engineers, managers, the exec team, and the rest of the company. We’re remote-first, so much of this happens in writing and in presentations.
Lead a high-performing team into what’s next
. We have strong managers, directors, and ICs. You’ll aim that talent at our biggest opportunities and adjust the org’s structure, goals, and ways of working to be continually more effective. You’ll do this without losing what makes the team great.
Lead from technical credibility
. You can’t lead an
AI era
shift without a
deep understanding
of the ergonomics of the
landslide of change
underway.
You might be a fit if
You’ve led engineering through large scale changes in direction, not just growth.
You’ve shipped software with AI tools yourself within the last 12 months.
You have a special talent for collaboration and improving executive teams.
You’re as interested in shaping strategy as in executing it.
You’ve worked at a larger company, and know what breaks as companies scale. But have a risk tolerance of someone from an early stage startup.
You’re comfortable with uncertainty, rapid change, and shaping new bets towards product-market fit.
You’ve led distributed teams and communicate well in writing and in person.
You care about developer tools and have good taste in them. (Having used Honeycomb is a bonus, not a requirement)
You
share
our
values
.
Worth reading:
How we do business at Honeycomb in the AI era
, our
AI norms and values
, and
why engineering is all in on AI
.
If you match some of this but not all of it, please apply anyway. We’d rather talk to a strong candidate who doubts themselves than miss them.
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Remote - United States
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Little more about the team:
AI is changing how software gets built, shipped, and run. It is increasing the need for
sense-making
of production software systems. We believe AI will reshape observability itself. Honeycomb created this category, and we want our next engineering leader to help us lead its reinvention.
The role
You’ll join the executive team as a full partner in setting strategy. Our exec team acts as a first team, working closely together to revise our strategy as the world changes. Right now, it is changing often! You’ll bring a wealth of experience and an imagination of what’s possible, help sharpen our bets, and decide with your peers the most elegant way forward. Then you’ll shape a strong engineering org to deliver on these decisions.
What you’ll do
Shape the strategy
. Form your own view of where the product, technology and market are heading. Bring it to your closest partners: product and the CEO, and to the wider exec team. Some of our bets will need sharpening, and some new ones will need making.
Build alignment at the top
. We believe our strength as a company depends on the strength of our exec team. We want you to make our exec team better, and for your first team to be the exec team. You’ll work closely with product and the CEO, challenging and being challenged in return, until the team is truly committed to a shared direction.
Help the whole org to make sense of fast change
. When the ground moves quickly, people need help understanding what is changing and why. Burnout is high in our industry, and we want to keep our people motivated, excited to come to work, and with their full creativity and energy. You’ll explain engineering’s direction clearly and repeatedly, to engineers, managers, the exec team, and the rest of the company. We’re remote-first, so much of this happens in writing and in presentations.
Lead a high-performing team into what’s next
. We have strong managers, directors, and ICs. You’ll aim that talent at our biggest opportunities and adjust the org’s structure, goals, and ways of working to be continually more effective. You’ll do this without losing what makes the team great.
Lead from technical credibility
. You can’t lead an
AI era
shift without a
deep understanding
of the ergonomics of the
landslide of change
underway.
You might be a fit if
You’ve led engineering through large scale changes in direction, not just growth.
You’ve shipped software with AI tools yourself within the last 12 months.
You have a special talent for collaboration and improving executive teams.
You’re as interested in shaping strategy as in executing it.
You’ve worked at a larger company, and know what breaks as companies scale. But have a risk tolerance of someone from an early stage startup.
You’re comfortable with uncertainty, rapid change, and shaping new bets towards product-market fit.
You’ve led distributed teams and communicate well in writing and in person.
You care about developer tools and have good taste in them. (Having used Honeycomb is a bonus, not a requirement)
You
share
our
values
.
Worth reading:
How we do business at Honeycomb in the AI era
, our
AI norms and values
, and
why engineering is all in on AI
.
If you match some of this but not all of it, please apply anyway. We’d rather talk to a strong candidate who doubts themselves than miss them.
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Brazil; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Slovenia; Lithuania; South Africa; Czech Republic; Hungary; Mexico; Chile; Poland; Slovakia; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work.
The team
Founded in 2011, Kraken is one of the world’s longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The Pro team is responsible for everything to do with the trading backend services such as the matching engine, market data gateways, internal and external APIs, and various other trading services. The team is located globally and responsibilities are split into sub-teams, working with various tech stacks. Our teams code in Rust and C++ and work agile around the globe.
The Opportunity
- Design and implement robust Rust and C++ services and libraries that power trading, payments, and crypto experiences with a focus on reliability, performance, and user impact.
- Write reusable, testable, and highly efficient code that scales across teams and supports revenue-critical systems without compromising safety or security.
- Collaborate on large-scale distributed systems architecture, translating evolving product requirements into resilient, low-latency solutions.
- Work alongside hundreds of experienced Rust and C++ engineers, contributing to a high-performance, product-driven engineering culture.
What You Bring
- 3+ years of software engineering experience
- Experience building financial trading focused products
- Proficient in writing network services or asynchronous code in Rust
- Experience with modern C++, including performance-sensitive, low-latency systems
- Have a security-first mindset during system design to ensure robustness
- Demonstrate the ability to autonomously debug issues across the stack (OS, network, application)
- Apply a solid understanding of distributed systems and technologies, including RPC protocols, Kafka, and Event-Driven Systems, to design scalable solutions
- Collaborate effectively with product teams to gather requirements and constraints for designing appropriate systems
- Take complete end-to-end ownership of systems and libraries
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: New York
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
We're hiring a Sales Manager to build and lead a team of Enterprise Account Executives. Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, and healthcare. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost.
You'll recruit and develop reps, run deals alongside them while the team ramps, and contribute to the playbook for how Baseten wins enterprise. It's a high-influence seat, close to our founders and GTM leadership.
RESPONSIBILITIES
- Recruit, hire, and ramp a team of Enterprise sellers
- Coach reps through long, multi-stakeholder cycles: multithreading across buying committees, navigating security and procurement, and closing seven- and eight-figure deals
- Raise the bar on consultative selling. Your reps should be advising customers on AI strategy, not just running a product evaluation
- Partner on shaping and executing go-to-market strategy for your territory, including which verticals to attack first
- Operate as a player-coach, carrying deals yourself while the team builds
- Stay deep enough on the product to guide reps through technical evaluations, POCs, and architecture reviews alongside our forward-deployed engineers
- Work with Marketing, Product, Engineering, and Legal to turn enterprise requirements into roadmap and GTM input
- Build a culture of accountability, learning, and collaboration
REQUIREMENTS
- 8+ years of closing experience, with 2+ years managing high-performing teams
- Proven success in Enterprise sales, closing complex, multi-stakeholder deals inside large organizations
- Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, public sector)
- A track record of recruiting strong sellers, ideally on a new or early-stage team
- Strong technical acumen, ideally in AI infrastructure, cloud infrastructure, or developer platforms. You're comfortable in the weeds
- Willingness to sell as well as manage while the team is small
- Based in New York and able to be in office at least 3 days per week (Tuesday to Thursday)
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: Toronto, Ontario, Canada
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
Sentry’s Foundational Storage team builds and supports the stateful storage systems that all our products rely on: object storage, relational databases, key-value stores, and caches. We help Sentry engineers store and access data consistently, durably, securely, and efficiently as our products and traffic grow.
We develop storage services like our open-source Objectstore https://github.com/getsentry/objectstore and build libraries and APIs that make existing storage systems easier to use. In our own services, we design storage protocols that keep data consistent across backends, even through concurrent updates and failures. Our abstractions let other engineering teams use storage without worrying about which cluster or instance holds their data.
As a Senior Software Engineer on the team, you’ll work on both the systems and the code that makes them easy to use. You’ll tackle questions of data consistency, availability, performance, and cost-efficiency, and work with product teams to turn their needs into practical solutions. The goal is simple: make the right way to store data the easy and obvious way.
IN THIS ROLE YOU WILL
- Design and operate storage systems used across Sentry, including their configuration and performance tuning.
- Create APIs and abstractions that make storage easy for product teams to use, with best practices for correctness, security, and scale built in.
- Solve storage challenges at scale, including consistency under concurrent access, sharding and rebalancing, and routing reads and writes across storage backends as workloads grow.
- Work with product engineers to choose storage approaches, plan safe migrations, and help teams adopt the tools you build.
- Plan and build with other Platform and Infrastructure teams, including analytical storage and streaming, to deliver a complete, fault-tolerant platform for product teams. Align roadmaps and standards, and design for failures and recovery.
- Improve storage performance and cost efficiency by making better use of backends and resources, while keeping the platform simple for product teams.
- Write code primarily in Rust and Python, with clear user-facing documentation. Develop advanced testing scenarios, such as production-scale chaos tests covering backend and infrastructure outages.
- Own latency and availability SLOs for your services, improve monitoring and incident response, and participate in the team’s on-call rotation.
YOU’LL LOVE THIS JOB IF YOU
- Enjoy digging into the internals of storage systems and understanding how they behave when traffic grows, requests race, or a dependency has a bad day.
- Care about a useful, easy-to-use API as much as what happens behind it.
- Like working with other engineers to understand their needs and make their day-to-day work easier.
- Want to follow your work from design and code through rollout and production for millions of developers.
- Want open-source contributions to be at the center of your day job.
QUALIFICATIONS
- 5+ years of software engineering experience building and operating distributed, stateful systems in production.
- Hands-on experience with object storage, relational databases, and caching systems at production scale. Experience with key-value or wide-column stores is a plus.
- An understanding of distributed systems fundamentals, including consistency, concurrency, and what happens when requests fail or need to be retried.
- Proficiency in a systems language such as Go, C++, Java, or Rust, and comfort working in Python. We primarily use Rust and Python, and welcome engineers who are new to Rust.
- Experience running services on Kubernetes in a cloud environment, including observability, SLOs, and incident response. Familiarity with Terraform is a plus.
- Good written and spoken English, especially in explaining technical choices and writing documentation.
- Nice to have: experience building shared libraries or internal APIs, migrating data between systems, or improving system performance and cost.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $200,000 to $420,000 CAD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
Sentry’s Foundational Storage team builds and supports the stateful storage systems that all our products rely on: object storage, relational databases, key-value stores, and caches. We help Sentry engineers store and access data consistently, durably, securely, and efficiently as our products and traffic grow.
We develop storage services like our open-source Objectstore https://github.com/getsentry/objectstore and build libraries and APIs that make existing storage systems easier to use. In our own services, we design storage protocols that keep data consistent across backends, even through concurrent updates and failures. Our abstractions let other engineering teams use storage without worrying about which cluster or instance holds their data.
As a Senior Software Engineer on the team, you’ll work on both the systems and the code that makes them easy to use. You’ll tackle questions of data consistency, availability, performance, and cost-efficiency, and work with product teams to turn their needs into practical solutions. The goal is simple: make the right way to store data the easy and obvious way.
IN THIS ROLE YOU WILL
- Design and operate storage systems used across Sentry, including their configuration and performance tuning.
- Create APIs and abstractions that make storage easy for product teams to use, with best practices for correctness, security, and scale built in.
- Solve storage challenges at scale, including consistency under concurrent access, sharding and rebalancing, and routing reads and writes across storage backends as workloads grow.
- Work with product engineers to choose storage approaches, plan safe migrations, and help teams adopt the tools you build.
- Plan and build with other Platform and Infrastructure teams, including analytical storage and streaming, to deliver a complete, fault-tolerant platform for product teams. Align roadmaps and standards, and design for failures and recovery.
- Improve storage performance and cost efficiency by making better use of backends and resources, while keeping the platform simple for product teams.
- Write code primarily in Rust and Python, with clear user-facing documentation. Develop advanced testing scenarios, such as production-scale chaos tests covering backend and infrastructure outages.
- Own latency and availability SLOs for your services, improve monitoring and incident response, and participate in the team’s on-call rotation.
YOU’LL LOVE THIS JOB IF YOU
- Enjoy digging into the internals of storage systems and understanding how they behave when traffic grows, requests race, or a dependency has a bad day.
- Care about a useful, easy-to-use API as much as what happens behind it.
- Like working with other engineers to understand their needs and make their day-to-day work easier.
- Want to follow your work from design and code through rollout and production for millions of developers.
- Want open-source contributions to be at the center of your day job.
QUALIFICATIONS
- 5+ years of software engineering experience building and operating distributed, stateful systems in production.
- Hands-on experience with object storage, relational databases, and caching systems at production scale. Experience with key-value or wide-column stores is a plus.
- An understanding of distributed systems fundamentals, including consistency, concurrency, and what happens when requests fail or need to be retried.
- Proficiency in a systems language such as Go, C++, Java, or Rust, and comfort working in Python. We primarily use Rust and Python, and welcome engineers who are new to Rust.
- Experience running services on Kubernetes in a cloud environment, including observability, SLOs, and incident response. Familiarity with Terraform is a plus.
- Good written and spoken English, especially in explaining technical choices and writing documentation.
- Nice to have: experience building shared libraries or internal APIs, migrating data between systems, or improving system performance and cost.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $190,000 to $400,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
ОфисUnited States; Canada
Зарплата не указана
УдалённоEurope; New York; Toronto
Зарплата не указана
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.