Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Senior Technical Program Manager, Mobile
San Mateo, CA
As a Senior Technical Program Manager, you will drive the development of software that powers the mobile experiences defining the future of the PlayStation ecosystem. You will coordinate complex technical initiatives across mobile applications and cross-platform systems, ensuring successful delivery of products that delight millions of users worldwide.
You will be responsible for orchestrating programs across Android native development, React Native implementations, and critical infrastructure systems. Your role involves you in every facet of the launch lifecycle, from initial planning through production deployment.
Responsibilities:
• Drive end-to-end program execution for mobile applications and infrastructure systems, coordinating across engineering teams to deliver scalable and performant solutions.
• Manage program timelines and dependencies across mobile and console teams, ensuring alignment between Android native, React Native, and backend infrastructure initiatives.
• Lead Agile/Scrum ceremonies and facilitate sprint planning, working closely with engineering teams to translate product requirements into actionable deliverables and realistic timelines.
• Coordinate with international stakeholders (USA, Japan, UK) including UI designers, product managers, and engineering leads to ensure cohesive program execution across time zones.
• Own program schedules, risk mitigation strategies, and executive reporting while actively managing dependencies between mobile client development and platform services.
• Partner with engineering teams to define system architecture decisions, technical requirements, and integration points between mobile applications and PlayStation ecosystem services.
• Drive adoption of development best practices, tooling standardization (JIRA, Confluence), and process improvements across distributed teams.
• Identify and resolve roadblocks proactively, using performance metrics and data to inform program decisions and priority adjustments.
Required Qualifications:
• Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
• 5+ years of experience as a Technical Program Manager driving consumer-facing mobile or software products from conception to launch.
• Proven track record managing programs involving Android native development, cross-platform frameworks, and/or infrastructure systems.
• Deep understanding of mobile development lifecycles, including experience with both native (Android/iOS) and cross-platform (React Native) technologies.
• Expertise in Agile/Scrum methodologies with hands-on experience using JIRA, Confluence, and similar project management tools.
• Strong technical acumen to engage credibly with engineering teams on architecture decisions, technical trade-offs, and implementation approaches.
• Excellent written and verbal communication skills with ability to influence stakeholders from individual contributors through senior leadership.
• Experience coordinating programs across geographically distributed teams with proven ability to navigate cultural and timezone differences.
• Demonstrated ability to balance strategic thinking with attention to detail while managing ambiguity in fast-paced environments.
Desired Qualifications:
• Experience with mobile application performance optimization and metrics analysis.
• Understanding of mobile application architecture patterns (MVC, MVVM, MVP).
• Familiarity with gaming, digital entertainment, or consumer electronics industries.
• Knowledge of privacy compliance requirements for mobile applications.
• Master's degree or MBA in a related field.
• Experience with GraphQL APIs and modern mobile development frameworks.
Working Environment:
• Agile team environment with startup culture within a large organization.
• Location flexible with hybrid work options.
• Travel required (domestic and international), estimated 15-25%.
• Individual contributor role without direct supervisory responsibilities.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$163,600
—
$245,400 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
seniorUnited States, San Mateo, CA; Coordinate with international stakeholders (USA, Japan, UK) including UI designers, product managers, and engineering leads to ensure cohesive program execution across time zones; Experience coordinating programs across geographically distributed teams with proven ability to navigate cultural and timezone differences
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Manager, Product Applied Science to build and lead a team at the core of Garner's product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them.
This is a hands-on management role. You are responsible for the overall technical direction of your squad, building alongside your team of Applied Scientists to solve some of the hardest problems at the company.
This is not a dashboards or descriptive-analytics team. Your team owns production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is leading a research pod at a top hedge fund.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Lead a team of 4-6 — hire, coach, and develop them, hold the bar on both rigor and speed, and help raise that bar across Applied Science
Own the Population Health team and their outputs as a core responsibility
Own your team's roadmap and delivery: what gets built, in what order, and whether it ships
Set technical direction, and get in the weeds to do it — stay close enough to the code and the data to call the approach yourself, whether that's machine learning, optimization, a heuristic, or a simple rule, and set the standard for how your team makes that call
Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
Put your own hands on the problems where your judgment matters most — the highest-stakes, least-defined work — and deliver the algorithmic step-changes that move metrics like total-cost-of-care savings, steerage, and member engagement
Turn ambiguous business goals into a clear problem set alongside Research, Product, Engineering, and business stakeholders, and represent your team's work to senior leadership
Set the quality bar: review your team's work with rigor, and define the metrics that decide whether a solution is working
Build a deep understanding of the healthcare economy and Garner's place in it
To make the role concrete, here are three problems on our near-term roadmap:
Provider tiering optimization.
Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions.
AI primary care doctor.
Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely.
Member engagement model.
Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.
The ideal candidate has:
6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred
Deep technical credibility, with the range and judgment to lead scientists who are experts in their own right, and the willingness to stay hands-on
Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem
Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
A bias toward action, quickly translating ideas into working prototypes to test approaches
Strong communication skills, including at the executive level, with a track record of driving alignment across teams and functions
A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Technologies we use:
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment.
This is a unique opportunity to build and lead the team behind Garner's algorithmic systems — shaping how members find better care, and how applied science gets done at Garner, while staying close to the work yourself.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target base comp range for this position is $300,000-$390,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Staff Applied Scientist to join our Applied Science team. Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them.
This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund.
This is a player-coach role. You will be a hands-on-keys Applied Scientist, while also leading a small team that helps you deliver on your roadmap. Your time will be split between your own technical work and working with your team to shape how they approach their problems. This role is a good fit for someone who wants to develop their management toolkit while continuing to work closely on their own technical work, and it can lead either towards management or a deeper senior IC track.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own the most ambiguous, high-stakes problems facing the company end-to-end, and set how the team frames and approaches them
Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks
Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, and set the standard for how the team selects and applies these approaches
Deliver algorithmic breakthroughs that move the company's most important metrics, pioneering approaches that become how applied science is done at Garner
Lead a small team — set their technical direction, unblock them when they're stuck, and share accountability for their growth and the quality of what they ship
Review Applied Science work at the highest level across the company, ensuring the methods used across teams are sound and correctly applied
Build a deep understanding of the healthcare economy and Garner's place in it
To make the role concrete, here are three problems on our near-term roadmap:
Provider tiering optimization.
Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions.
AI primary care doctor.
Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely.
Member engagement model.
Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.
The ideal candidate has:
6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred
A bias toward action, quickly translating ideas into working prototypes to test approaches
Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
Recognized technical authority, with the judgment to ensure the techniques used across an organization are sound
Strong interest in mentoring or technically leading other Scientists — formal management experience is welcome, but not required
Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem
Strong communication skills, including at the executive level, with a track record of driving alignment across an organization
A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What you’ll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment.
This is a unique opportunity to work on high-impact problems in healthcare — shaping how members find better care through algorithmic systems that directly influence healthcare outcomes, and helping the scientists around you do the same.
Compensation Transparency:
The target base comp range for this position is $300,000-$390,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Remote
Workplace: remote
We're looking for a Senior Backend Engineer to join our backend team at Zerion.
This team builds and evolves the backend systems at the core of our products and customer-facing solutions.
In this role, you'll design and operate distributed systems, work with Web3 infrastructure, and collaborate closely with product, support, and the clients building on our API to deliver reliable, scalable solutions.
We value strong ownership, thoughtful system design, and a high bar for code quality.
If you enjoy building solid systems, moving fast without cutting corners, and using AI as a core part of how you work, you'll feel right at home with us.
What You’ll Do
Design, build, and maintain
scalable distributed backend systems
powering platform and product capabilities.
Own
backend services end-to-end
: from architecture and implementation to monitoring and long-term reliability.
Work closely with
product and engineering peers
to actively shape product decisions — not just execute specs.
Scope
solutions with the clients
building on our API: turn a vague request into a concrete proposal, and the proposal into a plan the team can build.
Build and evolve
Web3 platform backend components
, including protocol integrations, support for newly emerging blockchain networks, and reliable interactions with smart contracts.
Ensure
high standards of code quality
, performance, security, and observability.
Operate comfortably in a
fast-paced startup environment
, balancing speed and correctness.
Use AI as a core part
of your engineering workflow — designing, reviewing, debugging and shipping with it. This is how the team works day to day, not an experiment we're running.
Contribute to
technical discussions
, reviews, and mentorship within the engineering team.
What We’re Looking For
5+ years
of experience designing and building
distributed backend systems
.
Strong knowledge of
algorithms, data structures, and software design patterns
.
Comfortable working in a
fast-paced startup environment
.
Strong desire to
actively contribute to product evolution
, not just implementation.
Comfortable
working directly with customers
— hearing a vague problem and coming back with a concrete proposal.
Hands-on,
daily use of AI in your engineering work
. You should be able to talk concretely about where it has changed how you build, and where you've learned not to trust it.
High standards for
code quality, system reliability, and user experience
— you care about getting it right, not just getting it done.
Strong
ownership mindset
— you take responsibility for outcomes, not just tasks.
Clear and proactive
communication
in a distributed team.
Pragmatic decision-making: knowing when to
move fast vs. go deep
.
Ability to
learn quickly and adapt
.
Technical Skill Set
Excellent knowledge of
Golang is a plus, not a blocker.
Experience with
containerized systems
: Docker & Kubernetes.
Experience with
databases
:
SQL: Postgres
NoSQL: MongoDB, Cassandra
Experience with
monitoring and observability tools
: Sentry, Prometheus, Grafana.
Hands-on experience with
AWS (Amazon Web Services)
.
Experience with
Python 3
.
Comfort experimenting with and integrating
AI-assisted workflows
into daily engineering work.
Bonus Points
Hands-on Web3 experience:
Blockchain systems, dApps, Smart contracts.
Prior experience in a
startup environment
that emphasizes
trust and autonomy
.
Located in
time zones close to Europe
for smoother collaboration.
Collaborative mindset
and respect for different perspectives.
Curiosity and willingness to
challenge existing solutions
when better ones exist.
Interview Process
Screening Call
– 30 minutes
Hiring Manager Interview
– 45 minutes
Technical Interview
– 90 minutes (includes a real-world challenge where you'll work with AI tools directly)
System Design Interview
– 90 minutes
Team Interview
– 60 minutes
Founders Call
– up to 60 minutes
Reference Check
Why You Should Join
Company Overview
Zerion API
Trusted by 50+ top crypto and fintech brands
Powering 2k+ active clients monthly
Over 10B total requests processed
A lean, senior AI-native team shipping at outsized scale
Zerion Wallet
1.7M+ active funded wallets
27.6M+ transactions
2.5B+ transaction volume
416K+ unique holders of Zerion DNA NFT
Culture: Our culture shines through in our strong team engagement and impressive retention, showing just how much we value creating a workplace where people truly want to stay and thrive.
People: Collaborate with some of the most driven and intelligent individuals in the crypto space.
Salary & Benefits: Receive a competitive salary, medical insurance, coworking membership, and additional benefits.
Unlimited Days Off and Flexible Work Schedule: Recharge and explore life outside the office with our flexible time-off policy and work schedule.
Remote Work Essentials: We provide all the necessary software and equipment to ensure you're fully equipped to work from home comfortably and efficiently.
Stock Options: Contribute to Zerion's success and watch your stock options become valuable.
Travel: Connect with your teammates around the world at industry events and our annual team offsite.
Distributed Team: Zerion is a fully remote team with members worldwide. Embrace asynchronous collaboration, find your own work rhythm, and enjoy a healthy work-life balance.
To ALL recruitment agencies and individual recruiters: Zerion only accepts resumes from its partners, with whom Zerion has contractual relations. Zerion is not responsible for any fees or charges associated with unsolicited resumes.
We read every application in full before moving forward - as part of that, please include the word WATERMELON somewhere in your answer to the application question below
Location: New York, NY; San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
- Lead the design and delivery of production-grade AI agents: We believe the best managers lead from being hands-on and close to the work. Our managers operate as ICs for their first 3-6 months at Sierra, and then evolve to manage and grow a team of engineers, all while building highly performant, reliable, and intuitive AI agents that are central, mission-critical, and directly drive Sierra’s growth. These aren’t prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. You’ll ensure technical excellence, operational reliability, and high customer impact.
- Own the Agent Development Life Cycle (ADLC): You’ll both build directly, and guide your team through the full lifecycle—from initial pilot through deployment and continuous iteration—coaching engineers to set and maintain the standard for ADLC best practices. You’ll ensure projects are delivered on time, meet customer needs, and scale effectively in production environments.
- Partner with large enterprises and cutting-edge startups: You’ll collaborate with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and guide your team in building AI agents that transform how they operate at scale. You’ll also work with innovative startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.
- Shape the future of the platform: Your team’s direct work with customers will guide the evolution of Sierra’s core platform. You’ll surface unmet needs, prioritize initiatives, and collaborate with research, product, and platform teams to shape the future of AI agent development and Sierra’s product.
WHAT YOU'LL BRING
- Experience building and scaling, as well as leading engineering teams that build and scale, end-to-end production systems
- Strong technical problem-solving skills and the ability to guide teams through ambiguous, fast-changing environments
- A leadership style that comes from being hands-on, and blends high standards with empathy, fostering both speed and quality
- Proven ability to work closely with customers and translate business needs into technical deliverables
- Excellent communication skills across technical and non-technical audiences
- Degree in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- AI-related experience (experience developing AI agents a plus).
- Experience building or deploying AI/LLM systems in production
- Background as a founder, engineering lead, or startup builder with high ownership and urgency
- Familiarity with tools for today’s AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
- Prior experience with React, TypeScript, and/or Go
- Experience interfacing with customers or leading technical projects with external stakeholders
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: San Jose, California, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
Our Card and Payment engineering team builds reliable, intuitive experiences at the intersection of cards, payments, crypto, and global financial infrastructure. We partner closely with product, design, backend, risk, compliance, and business teams to make card and payment products accessible to users around the world.
As a Senior Mobile Engineer on the Card and Payment team, your primary responsibility will be to own and improve the global card issuance process. You will work mainly with product and engineering partners in the US, while meeting regularly with teams in Asia to understand requirements and align delivery. We are looking for someone who is highly self-driven, takes real ownership, collaborates well, and is eager to learn the card issuing and payment businesses in depth.
What You’ll Be Doing
Own the end-to-end global card issuance process—from eligibility and application through card creation, activation, provisioning, and lifecycle servicing—and improve the experience as OKX expands into new markets.
Learn the card issuing and payment domains deeply, and translate business, user, payment, and regulatory requirements into sound architecture, clear trade-offs, and executable delivery plans.
Own features from discovery through production, with a strong focus on security, reliability, observability, maintainability, documentation, and test coverage.
Drive ambiguous, cross-functional initiatives to completion with a high degree of ownership, self-direction, and sound judgment.
Collaborate primarily with product and engineering teams in the US, while joining regular discussions with Asia teams to discover, clarify, and align requirements.
Build with Swift, Kotlin, or Rust depending on the problem, and actively learn and adopt new languages, platforms, and tools rather than being limited to a single technology stack.
Use AI coding tools throughout the development lifecycle—from exploration and implementation to testing, review, and documentation—while maintaining strong engineering judgment and accountability.
Build and maintain reusable AI workflows, engineering harnesses, and technical knowledge bases that improve the entire team’s speed and quality.
Review code, share context openly, mentor teammates, and make decisions that improve both engineering quality and overall team outcomes.
Contribute to hiring, onboarding, and the continuous improvement of team practices.
What We Look For In You
B.S. or M.S. in Computer Science, or equivalent practical experience.
Proven experience shipping and operating production-quality mobile applications, with deep expertise in iOS or Android.
Strong proficiency in at least one of Swift, Kotlin, or Rust, with a demonstrated willingness to learn and contribute in unfamiliar languages and technology stacks.
Exceptional ownership and self-direction, with the judgment to make pragmatic decisions and drive ambiguous work to completion.
Demonstrated, regular use of AI coding tools with measurable impact on delivery speed, code quality, or engineering effectiveness.
A team-first mindset: you communicate openly, share knowledge, support peers, and align technical decisions around the best outcome for the team and product.
Genuine curiosity about card issuing and payment businesses, plus the ability to communicate technical decisions clearly with partners across the US and Asia. Professional proficiency in English and Mandarin Chinese is required.
Nice to Haves
Hands-on experience with global card issuance flows, card processing, payments, fintech, crypto, or other high-trust financial products.
Experience launching products across multiple countries or regulatory environments.
Knowledge of mobile security, payment authentication, risk controls, or transaction lifecycle design.
Experience improving mobile architecture, shared components, developer tooling, or engineering productivity at team scale.
Experience mentoring engineers or leading cross-functional technical initiatives.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is $178,888 to $268,333.
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
About our Machine Learning Business Banking team:
Our mission in Business Banking is to simplify banking for small businesses; making business banking fairer, simpler and more transparent. Monzo Business Banking is fast-growing, is the UK’s most recommended business account for overall service quality. We recently hit 1 million customers and are used by 1 in 6 UK SMEs. We want to help businesses spend less time on financial admin and more time focused on running and growing their business. We’re building intelligent, data-driven and AI/ML-enabled product experiences that help small businesses feel more in control, make better decisions, and get more value from Monzo. ML is at the core of how we build and scale our products, enabling Monzo to make better decisions, faster, and helping us serve businesses more effectively.
As a Lead Machine Learning Scientist in Business Banking, you’ll help build and ship models that power the next generation of Business Banking experiences. You’ll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of how we build for businesses. Whether it’s helping businesses understand their cash flow, reducing manual admin, surfacing the right insight at the right moment, or helping teams build intelligent product experiences responsibly, our work makes business banking smarter, simpler and more useful for SMEs.
What you'll be working on
As a Lead Machine Learning Scientist, you’ll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences. You’ll:
— Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum.
— Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers.
— Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics.
— Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs.
— Design robust evaluation and monitoring so we can ship responsibly and measure impact in production.
— Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting).
— Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor.
— Set technical standards, mentor others, and support experimentation and iteration.
You should apply if:
— What we’re doing here at Monzo excites you!
— You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company.
— You have experience developing and shipping state-of-the-art ML models to production and delivering business impact.
— You're impact-driven and excited to own the end-to-end journey that starts with a business problem and ends with your solution having a measurable impact in production.
— You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so.
— You speak Python fluently and have extensive, hands-on experience with scikit-learn.
— You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices.
— You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity.
— You want to be involved in building a product that small businesses use to run and manage their financial lives every day.
— You have a product mindset: you care about customer outcomes and you want to make data-informed decisions.
— You’re excited about fast-moving developments in Machine Learning and AI and can communicate those ideas to colleagues who are not familiar with the domain.
— You’re adaptable, curious and enjoy learning new technologies and ideas.
— You’re excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability.
— You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use.
— You’re thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter.
Nice to haves:
— Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications.
— Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software.
— Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences.
— Commercial experience writing critical production code and working with microservices.
— Experience designing experiments, A/B tests or other approaches to measure product and customer impact.
— Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important.
The interview process:
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
— 30 minute recruiter call
— 45 minute call with hiring manager
— Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview
Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.
What’s in it for you:
— We can help you relocate to the UK
— We can sponsor visas
— This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
— We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
— Learning budget of £1,000 a year for training courses and conferences
— And much more, see our full list of benefits here
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO:
- Lead full-cycle recruitment processes, from sourcing and screening to closing and onboarding, ensuring a seamless and positive candidate experience.
- Identify and engage with passive candidates through various channels, including online platforms, networking events, and industry connections, to build a strong, diverse talent pipeline.
- Drive initiatives to ensure diverse hiring practices and build a team reflective of our values and culture.
- Utilize metrics and analytics to track recruiting performance, identify areas for improvement, and optimize processes to achieve hiring targets, reporting regularly to hiring partners.
- Develop and execute our campus recruiting strategy, building relationships with universities and student communities, and representing Sierra on campus through recruiting events, career fairs, and other programs that build awareness and attract exceptional early-career talent.
- Help build and run Sierra’s internship and early-career programs, from campus recruiting and events to creating a high-quality intern experience that engages, develops, and converts exceptional early talent.
WHAT YOU'LL BRING:
- 5+ years of full-cycle or university recruiting experience, preferably in a fast-paced, high-growth tech environment.
- Proven ability to develop and execute recruiting strategies that align with business objectives.
- Proficiency in using recruiting metrics and data to inform decisions and improve processes.
- Strong collaboration skills with a willingness to work cross-functionally to achieve Sierra’s goals.
- Relationships with career centers, student orgs, faculty, and ambassadors.
- Experience in planning and executing campus engagement strategies, across universities through targeted events and partnerships.
EVEN BETTER...
- Ability to navigate ambiguity in order to adapt to the ever-changing needs of a growing organization.
- Ability and willingness to travel during peak recruiting cycles and work flexible hours as needed
- An interest in building from the ground up: launching intern programs, designing early talent hiring process
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's infrastructure fleet spans a growing set of clouds, neoclouds, and on-prem sites. Every part of it is expanding rapidly. Capacity Engineering is the team that connects every stage of that growth, from capacity planning to supply management to capacity delivery to utilization. We partner on supply deals, wire telemetry from day zero, own the canonical capacity data layer, and build the planning and enforcement tools every research and product team relies on.
As an Infrastructure Capacity Planner on the Demand Planning team, you'll own the medium-range demand forecast for every resource class we consume: accelerators, CPU, storage, network, and managed services. Your forecast will support sourcing and purchasing, prioritization, efficiency targets, and workload optimization.
Key responsibilities
Build and own the medium-range multi-resource demand forecast: accelerators by chip/interconnect class, CPU by shape, storage by tier and access pattern, egress by path, managed services by SKU — driven by model roadmap, RL/inference growth, eval volume, and retention policy rather than trend lines.
Run the plan-vs-reality loop. Diff planned allocations against observed fleet occupancy weekly, surface unrecorded trades and stale allocations, and drive variance toward zero with our planning-tools and data teams.
Qualify each incoming capacity tranche against the forecast before signature: right shape, region, quarter, and supporting-resource envelope (storage, egress, CPU).
Partner with Finance and cost-efficiency teams to turn the forecast into core drivers covering the large majority (≥80%) of non-accelerator spend, and to aim savings work where waste will appear next.
What you bring
Have done capacity, demand, or supply planning for large-scale technical infrastructure (cloud, HPC, hyperscale, or a large internal platform) and can articulate the difference between a forecast, a plan, and an allocation.
Build the model yourself rather than specifying it for someone else: SQL against a warehouse, Python/pandas or a proper forecasting/optimization stack.
Understand data-center resource classes well to know why storage and egress don't forecast like GPUs, and why a contract's headline chip count is rarely the binding constraint.
Prefer simple, inspectable models to clever opaque ones, and instrument your own forecast error.
Preferred qualifications
Direct experience with cloud or neocloud providers on reserved-capacity onboarding, private offers, or capacity commitments.
Demand planning or forecasting experience for accelerator fleets, including translating research or product roadmaps into resource requirements.
Data center or colocation delivery experience: power and space planning, network turn-up, site acceptance criteria, and vendor management.
Experience with accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs, and the ability to define healthy rigorously.
Experience building lifecycle or state-machine services, or systems of record for infrastructure assets.
Experience onboarding a new hardware generation into an existing scheduler and observability stack.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Berlin Office; Bosnia; Romania; Norway; Estonia; Latvia; Netherlands; Hungary; Portugal; Poland; Serbia; Germany; Austria; Finland; Albania; Lithuania; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; Georgia; United Kingdom; Croatia; Spain; Greece
Workplace: Remote
The AI orchestration of your wildest imagination.
n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.
Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:
- Cultivated a community of more than 650,000 active developers and builders
- Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects
- Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation
That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register.
We’re in a defining moment of an incredible journey. Come and build with us.
🎯 Your main goal will be to shape and evolve the core platform architecture that powers n8n — creating scalable, configurable foundations across execution, infrastructure, and frontend platform so 80+ product engineers and our open-source community can build confidently across cloud and self-hosted deployments.
Working across our platform teams, you’ll bring architectural coherence to the systems they jointly own and help us make the right long-term technical decisions as n8n scales:
ARCHITECTURAL DIRECTION ACROSS CORE PLATFORM
- Drive architecture across the two Core Platform teams, ensuring execution, infrastructure, data, and frontend platform systems evolve as a coherent whole rather than independent components.
- Design highly adaptable backend foundations that support different workloads, deployment models, shared product team needs, and future scale without creating unnecessary complexity.
- Partner with the FE platform workstream on core canvas architecture, real-time communication, performance, plugin contracts, and other platform primitives used by product teams.
EXECUTION, DISTRIBUTED SYSTEMS & DATA FOUNDATIONS
- Evolve core subsystems including durable workflow execution and state, orchestration, queue and task distribution, worker management, scheduling, and horizontal scaling.
- Design for correctness and resilience across distributed environments, including failure modes, idempotency, state transitions, tenant isolation, and reliability guarantees.
- Shape our data and persistence architecture, including database scaling, sharding, migration strategies, deployment abstractions, and long-term operational maintainability.
PLATFORM ARCHITECTURE & ENGINEERING ENABLEMENT
- Lead consequential technical decisions through clear proposals and RFCs, making trade-offs explicit and aligning engineers and stakeholders around durable solutions.
- Define stable platform interfaces and abstractions that reduce coupling, support safe migrations, and make the platform easier for feature teams to build on.
- Mentor engineers across all engineering teams through design reviews, pairing, and technical guidance, raising the bar for architecture, system design, and maintainability.
REQUIREMENTS
MUST-HAVES
- 🏗️ Staff-level architectural ownership: You have a track record of leading architecture across multiple systems or teams, including migrations, re-architectures, or foundational platform initiatives with long-term organizational impact.
- 🧠 Systems thinking: You reason deeply about invariants, correctness, failure modes, boundaries, and trade-offs, and you’re comfortable making decisions where there is no obviously perfect solution.
- ⚙️ Configurable systems at scale: You’ve designed highly configurable, adaptable systems that serve multiple use cases or operating modes without becoming brittle or excessively complex.
- 🌐 Distributed systems depth: You’ve designed and operated distributed systems involving concepts such as asynchronous processing, idempotency, state machines, queues, consistency, and resilience.
- 🗄️ Data architecture at scale: You’ve worked on data-intensive systems where persistence, performance, isolation, migrations, and operational reliability were meaningful architectural concerns.
- 🛠️ TypeScript & Node.js depth: You have strong TypeScript experience and have built substantial backend systems with Node.js beyond conventional CRUD applications.
- 🤝 Cross-team technical leadership: You influence through technical judgment, clear communication, RFCs, design reviews, and mentorship, helping multiple teams converge on better solutions without relying on formal authority.
- 🧱 Platform enablement mindset: You care about creating clear contracts, abstractions, and developer experiences that allow other engineers to move faster and more safely.
- 🧹 Long-horizon engineering: You’re energized by modularization, migrations, refactoring, and evolving existing systems while keeping the product and engineering organization moving.
NICE-TO-HAVES
- 🧰 Workflow, orchestration or devtools experience: You’ve worked on workflow engines, orchestration platforms, developer tools, or infrastructure-heavy SaaS products.
- 🖥️ Frontend platform architecture: You’ve worked with architecture-heavy frontend systems such as canvas applications, plugin systems, real-time applications, web workers, or complex rendering environments.
- 🧾 Durable execution patterns: You’ve designed or operated systems using event sourcing, sagas, durable execution, or related state-management patterns.
- 👥 Multi-tenant architecture: You’ve designed systems where tenant isolation, resource management, data boundaries, or noisy-neighbour concerns were important.
- 🌍 Open-source experience: You’ve contributed to or maintained open-source software and understand the additional pressure around public contracts and backward compatibility.
- 📈 Large-scale SaaS exposure: You’ve operated systems at meaningful scale or worked in environments where reliability and architectural decisions had broad customer impact.
- 🧩 Monolith → modular migrations: You’ve decomposed monolithic systems or led incremental architectural migrations without preventing product teams from continuing to ship.
- ☁️ Multi-deployment awareness: You’ve designed products that need to work consistently across both managed cloud and self-hosted environments.
- 🔭 Observability mindset: You think about instrumentation, debugging, incident response, rollout safety, and operability as part of system design rather than an afterthought.
- 🧪 Strong CS grounding: You bring deep knowledge of distributed systems concepts, consistency models, consensus, formal methods, or similarly rigorous approaches to system correctness.
Why join us?
At n8n, you’ll work on the foundations that almost every product experience depends on. You’ll have influence across two Core Platform teams, helping shape how our execution engine, infrastructure, data architecture, and frontend platform evolve together as both our product and engineering organization scale.
This is a Staff role with real architectural leverage: you’ll tackle problems that span team boundaries, evolve systems that already operate at meaningful scale, and create platform capabilities that make 80+ engineers more effective. You’ll do that in a remote-first environment that values autonomy, thoughtful experimentation, and engineers who influence through strong technical judgment rather than hierarchy.
Sound like the kind of platform challenge you want to own?
Apply now — and help us build the future of automation.
n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.
We can sponsor visas to Germany; for any other country, you need to have existing right to work.
Our company language is English.
You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).
Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future.
BENEFITS
- Competitive compensation 💸 – We offer fair and attractive pay.
- Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.
- Work/life balance 🏖️ – We work hard but ensure you have time to recharge:
- Europe: 30 days of vacation, plus public holidays wherever you are.
- US: 20 vacation days, 8 sick days, plus public holidays wherever you are.
- Health & wellness 🩺 –
- Europe: We provide benefits according to local country norms.*
- US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.
- Future planning 💰 –
- Europe: We provide pension contributions according to local country norms.*
- US: 401(k) retirement plan with a 4% employer match.
- Financial security 🛡️ –
- Europe: We provide benefits according to local country norms.*
- US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.
- Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.
- A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!
- Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.
- Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.
- Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.
*Country and/or State specific details provided in your employment agreement.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
T
ogether, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development.
What You'll Do
Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins
Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets)
Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture
Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets
Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate
Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams
Ensure engineering processes (e.g. FDLC) are implemented and consistently followed
Delegate effectively and build autonomy and a positive, high-trust culture within the team
Address performance issues and conflict promptly and fairly
Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We're Looking For
Experience managing and growing a software engineering team (ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle
Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment
Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance
Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs
Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates
Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed
Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team
Bonus Skills
Experience building or operating metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$186,701
—
$233,376 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Remote - US
Company Description:
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands.
Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.
What You'll Do:
You will work on our storage platform which supports the B2 Object Storage and Computer Backup products, responsible for reliably storing the customer data. You will help improve durability, increase throughput, and drive architectural changes to support the long term requirements of our service.
Responsibilities:
Lead technical design discussions and produce clear design documents
Drive the implementation on large features
Shape coding methodologies and best practices
The Right Fit:
7+ years of OOP (Java, Rust, C++, C#, etc) in an enterprise environment, with a heavy focus on backend development
Experience building large scale software systems running on thousands of servers
Professional experience incorporating AI-assisted development tools (e.g., Gemini, Cursor, Claude Code)
Comfortable with all aspects of the software development lifecycle, including design, implementation, testing, and rollout
Exhibits curiosity and seeks to understand before offering solutions
Communicates proactively in a remote environment by keeping the team informed, surfacing blockers early, and moving work forward
Applies analytical thinking to ambiguous problems
Bonus points for:
Proficiency in Java or Rust
Experience with developing host-managed SMR solutions
Experience with discovering and implementing performance improvements, including CPU and IO
Familiarity with hard drive performance and optimization
Experience building and interpreting models, dashboards, or reports
Understanding of Linux internals and file systems
Required for all Backblaze Employees:
Good attitude and willingness to do whatever it takes to get the job done
Strong desire to work for a small, fast-paced company
Desire to learn and adapt to rapidly changing technologies and work environment
Rigorous adherence to best practices
Relentless attention to detail
Excellent interpersonal skills and good oral/written communication
Excellent troubleshooting and problem solving skills
Backblaze Perks:
Healthcare for family, including dental and vision
Competitive compensation and 401K
RSU grants for full-time employees
ESPP program
Flexible vacation policy
Maternity & paternity leave
MacBook Pro to use for work plus a generous stipend to personalize your workstation
Childcare bonus (human children only)
Fertility treatment and support
Learning & development program
Commuter benefits
Culture that supports a healthy work-life balance
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is:
Non-Bay: $175,000 - $200,000
Bay Area: $200,000 - $225,000
At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing.
We are proud to be an Equal Opportunity Employer.
To understand more about the data we collect and process as part of your application, please view our
Backblaze Employee Privacy Notice.
Location: Remote - US
About Backblaze
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands.
Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.
What You'll Do:
You will work on our storage platform which supports the B2 Object Storage and Computer Backup products, responsible for reliably storing the customer data. You will develop host-managed SMR support for the storage platform, optimizing for throughput and costs.
Responsibilities:
Lead technical design discussions and produce clear design documents
Drive the implementation on large features
Shape coding methodologies and best practices
The Right Fit:
10+ years of OOP (Java, Rust, C++, C#, etc) in an enterprise environment, with a heavy focus on backend development
Experience building host-managed SMR support for storage systems
Experience benchmarking IO performance and resolving bottlenecks
Experience building large scale software systems running on thousands of servers
Professional experience incorporating AI-assisted development tools (e.g., Gemini, Cursor, Claude Code)
Comfortable with all aspects of the software development lifecycle, including design, implementation, testing, and rollout
Exhibits curiosity and seeks to understand before offering solutions
Communicates proactively in a remote environment by keeping the team informed, surfacing blockers early, and moving work forward
Applies analytical thinking to ambiguous problems
Bonus points for:
Experience with discovering and implementing performance improvements, including CPU and IO
Familiarity with hard drive performance and optimization
Experience building and interpreting models, dashboards, or reports
Understanding of Linux internals and file systems
Backblaze Perks:
Healthcare for family, including dental and vision
Competitive compensation and 401K
RSU grants for full-time employees
ESPP program
Flexible vacation policy
Maternity & paternity leave
MacBook Pro to use for work plus a generous stipend to personalize your workstation
Childcare bonus (human children only)
Fertility treatment and support
Learning & development program
Commuter benefits
Culture that supports a healthy work-life balance
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is:
Non-Bay: $205,000 - $230,000
Bay Area: $245,000 - $265,000
At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing.
We are proud to be an Equal Opportunity Employer.
To understand more about the data we collect and process as part of your application, please view our
Backblaze Employee Privacy Notice.
Location: San Francisco, CA; US - Remote; New York, NY; Atlanta, GA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
- GTM technical expert: Own the end-to-end technical pre-sales process by scoping customer use cases, articulating business value, designing and demoing Sierra’s incredible platform, leading technical and architecture reviews, and serving as the trusted technical expert throughout the sales cycle.
- Cross-functional work: You will work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development philosophy.
- Lead & support our customers: As a GTM and technical leader in the earliest conversations with our future customers, you will both understand and anticipate their needs to continue our industry-leading AI solution.
WHAT YOU'LL BRING
- Language fluency - professional fluency in both Spanish and English
- 5-7+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales.
- Past experience in demo building, and presenting, and working with customers or clients in the GTM function.
- Experience in relationship-building with potential customers, including executives and technical leaders.
- Experience in leading the sales process with Enterprise customers.
- Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience
- Ability to leverage AI tools efficiently as a regular part of your technical sales motion — discovery prep, solution design, demo and prototype building, technical proposals. With that, you know where these tools can help and where human judgment still is required. Importantly, you own the accuracy of anything you put in front of a customer, whether or not AI helped you build it. This ownership looks like us not saying "[AI tool of choice] built this", but "I built this with [AI tool of choice]."
- Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- Experience translating code, technical logic and user requirements to product and engineering requirements.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: San Francisco, CA; US - Remote; New York, NY; Atlanta, GA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
- GTM technical expert: Own the end-to-end technical pre-sales process by scoping customer use cases, articulating business value, designing and demoing Sierra’s incredible platform, leading technical and architecture reviews, and serving as the trusted technical expert throughout the sales cycle.
- Cross-functional work: You will work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development philosophy.
- Lead & support our customers: As a GTM and technical leader in the earliest conversations with our future customers, you will both understand and anticipate their needs to continue our industry-leading AI solution.
WHAT YOU'LL BRING
- Language fluency - professional fluency in both Brazilian Portuguese and English
- 5-7+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales.
- Past experience in demo building, and presenting, and working with customers or clients in the GTM function.
- Experience in relationship-building with potential customers, including executives and technical leaders.
- Experience in leading the sales process with Enterprise customers.
- Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience
- Ability to leverage AI tools efficiently as a regular part of your technical sales motion — discovery prep, solution design, demo and prototype building, technical proposals. With that, you know where these tools can help and where human judgment still is required. Importantly, you own the accuracy of anything you put in front of a customer, whether or not AI helped you build it. This ownership looks like us not saying "[AI tool of choice] built this", but "I built this with [AI tool of choice]."
- Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- Experience translating code, technical logic and user requirements to product and engineering requirements.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Japan (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
Make a difference.
The Solutions Engineering team are the customer facing product experts. The team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure that they are happy and successful. We share our technical and product expertise with customers through demos, hands on enablement, presentations, technical evaluations and ongoing interaction. We partner closely with our Sales team to help qualify and close opportunities. The Solutions Engineering team is one of the primary routes of communication from our customers to the Product Management and Engineering teams.
A Solutions Engineer is able to really listen to a prospect or customer, understand their requirements, ask the right questions to extract as much information as required and translate all that into a solution with Grafana Labs technology. They are the bridge between the highly technical engineering folks here at Grafana Labs, our customers and our Sales team.
What You’ll Be Doing:
Partner with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers
Own the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility
Deliver product and technical presentations to potential and existing customers
Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape
Drive product conversations based on need and problems with customers
Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material
What Makes You a Great Fit:
Located in Tokyo, Japan
5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space
Be open to various and complex assignments, this will require strong judgment, collaboration, and leadership
You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers.
You will need to be able to skillfully articulate our value proposition and the technical advantages of our products
You love solving technical challenges and thrive on bringing creative solutions to our customers
You should have a technical mindset and a desire to grow technically
Experience with sales methodologies like MEDD(P)ICC is a plus.
Compensation & Rewards:
The OTE range we have for Japan is 14m - 18.5m JPY. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
New York City, New York
New York City, New York
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.
