Location: Remote, Worldwide
Workplace: remote
About Distru
Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack.
We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor.
Get to know the team, our culture and our full benefits at distru.com/careers!
The Role
AI is at an inflection point for enterprise use, and AI assistants like Claude, Codex, and Grok are seeing record adoption at work. We believe the system of record has never been more valuable for organizing the data AI acts on.
We started with our AI Order Agent, now rolled out across our customer base, which lets buyers submit orders from any source in any format. It's the first piece of a much bigger agentic ecosystem we’re building, and we're moving most of our engineering effort to AI-first work to build it.
You'll work directly with our Director of AI Engineering to own the technical buildout of our AI product suite, including:
Agentic harness: a multi-agent system that safely operates across a business's core tools (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems)
MCP: our MCP that connects Distru to external AI harnesses
Context Layer: our context layer that ingests customer data, builds memories and profiles, and feeds back into our harness to create more personalized AI experiences for our customers
Evals: the eval suites that make our agents reliable in production
And more…
You’ll be working directly on the AI system from the ground up and make strong, opinionated calls on the agentic stack and where it goes next. The AI space moves fast and the specifics will change, so this technical vision is something you'll mold.
You'll report to the VP of Engineering and the Director of AI Engineering, and work closely with the rest of the product team, eng team, and our customers.
What you'll do
Agentic engineering
Architect and build a production multi-agent system that can safely take actions across Distru and our customer’s core systems
Iterate and maintain the MCP that connects Distru to Claude & Codex.
Own reliability, observability, and durable execution end to end. The harness takes real actions on customers' data, so the bar is high.
Write evals to improve our agentic systems from real customer use cases
Build a unified data system that pulls data from multiple sources into a singular data layer that can be exposed to Claude & Codex via an MCP
Build a contextual memory system that ingests our customers' data and improves how our agents work for them
AI research & experimentation
Keep pace with the latest agentic frameworks, harnesses, toolkits, models, and bring in better approaches as they emerge
Rapidly prototype new ideas to present to our team and our customers
Engineering workflow
Build hands-on with Claude Code and similar tools as part of your own workflow
Improve our agentic coding workflow and bring new discoveries to the team
What success looks like at 6 months
You've shipped core improvements to our harness in production that our customers use daily, with clear observability and iteration for improvement
You’ve shipped and iterated on many MCP tools and improvements
Every agent you own has an eval suite and observability, so the team catches regressions before customers do
You own a part of the agentic stack and are the go-to person for it across the company
You’ve built prototypes on how our agentic infrastructure can improve (i.e. a new way to retrieve memories, an agentic onboarding process for our customers)
What we look for
AI fluency
For every AI role, we look for three things:
Tool fluency:
you build with Claude Code or similar every day, you've built your own skills, agents, or workflows, and you can explain why your setup looks the way it does.
Workflow fluency:
you write evals before you trust a prompt, and you know when a model is the wrong tool and plain code is the right one.
Build fluency:
you've put agents in front of real users, with guardrails, observability, and a way to roll back.
You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it.
Must have
5+ years in full-stack development, ideally on B2B SaaS applications
Multi-agent harnesses:
hands-on experience building multi-agent harnesses in production, not just prototypes or personal projects
MCPs:
you've built MCPs that are used in production
Production systems:
a strong grasp of reliability, observability, permissions, and safe workflow execution
Product and engineering:
you've operated as both, and you're comfortable owning scoping and decisions, not just implementation
Modern stack:
proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph, and you pick up new tools and frameworks quickly
Startup agility:
you've worked at an early-stage startup (under 20 engineers) and operated well in ambiguous, unstructured environments
Low ego:
you're team-first and measure success by what shipped and whether it worked, not by internal politics
Clear communication:
you raise concerns and propose solutions before being asked
Strong signal
Background building supply chain, ERP, CRM, B2B marketplace, or accounting software
UX design experience
Agentic systems work beyond the must-haves, such as evaluation frameworks or agent-to-agent protocols
Experience using Claude Code (or similar) to build products on your own
Cannabis industry experience
How we work
We love building with AI.
Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools.
Taste in building.
A lot of this role comes down to knowing what to build, what to cut, and what a great agentic experience feels like for the user.
We stay close to the customer.
You'll talk to customers and our GTM team directly, not through a chain of tickets.
You'll build on what we've learned.
You'll have access to the team's combined AI knowledge and the processes and skills we've built.
For the full picture of our culture and who thrives here, see
distru.com/careers
.
Benefits
Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru.
Here are a few highlights (exact benefits vary by country and employment type):
Fully remote across 4 continents
Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave
18 days PTO + 11 holidays (sick days don't count toward PTO)
Medical, dental, vision + 401(k) for US employees
The best AI tools available and a generous AI stipend for everything else
Yearly in-person team offsites
Interview process
Application questions: three short written questions in Lever on how you build with LLMs
Recruiter screen (30 min): your background, the most complex AI product you've worked on, and your personal AI tool stack
Technical interview (45–60 min): a deep dive into a complex product you've built, a live harness design discussion, and a screen-share walkthrough of your day-to-day setup
Harness take-home (3–4 hours): spec a real feature on our agentic harness across product and UX, system design, and implementation details
Take-home review (60 min): a technical deep dive into your submission with two engineers, including how your design holds up when a constraint changes
References and offer
Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world.
Where you land in the range depends on your experience and skills.
Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is hiring a Forward Deployed Engineer to work alongside Physical AI customers, shape our core infrastructure products, and test ideas for what we should build next.
You will work with enterprises, ISVs, and digital-native companies running training, simulation, synthetic data, evaluation, and model serving workloads. By understanding their systems and helping them reach production, you will uncover requirements that inform our Cloud, Serverless, and Token Factory teams. The goal is to connect needs across Physical AI industries with product decisions, including improvements that benefit enterprise customers more broadly.
You will also investigate opportunities for new Nebius products. You will develop hypotheses about unmet needs, examine demand and existing alternatives, and build prototypes to test with customers. Your findings will help determine which opportunities deserve investment and what an initial product should deliver.
The work is hands-on. You will write code, deploy and benchmark models, build agents, and troubleshoot infrastructure alongside customer engineers.
The position is part of the Physical AI go-to-market team, with close collaboration across customers, NVIDIA, Product, and Engineering.
What you will do
Work with customer engineers to understand their workloads, infrastructure constraints, and production requirements.
Translate Physical AI use cases into requirements that Cloud, Serverless, and Token Factory teams can use, backed by measurements and customer evidence.
Identify enterprise adoption barriers and common needs across industries. Work with Product and Engineering to assess gaps and test improvements with customers.
Build agents that set up, run, and debug Physical AI workloads, connecting them to clusters, schedulers, storage, and model servers.
Deploy and benchmark open-weight models with serving stacks such as vLLM or SGLang, then tune them for customer workloads.
Build prototypes and run technical evaluations to answer specific questions about performance, reliability, and product fit.
Assess demand and existing alternatives for opportunities outside current product teams’ scope, then build where there is a clear market.
Debug across Python, agents, model servers, Kubernetes, GPUs, networking, and storage. Turn successful setups into reusable scripts, deployments, and short guides.
What we are looking for
Three or more years in software engineering, cloud infrastructure, DevOps, ML infrastructure, or similar, including ownership of a production service, cluster, or platform.
Experience working directly with customers or external engineers to scope problems, run evaluations, and explain technical tradeoffs.
Ability to turn an unfamiliar customer problem into concrete infrastructure requirements.
Practical experience building with LLMs or agents, at work or independently, with an understanding of their internals (e.g., transformers, KV caching, or tool calling) and how to evaluate their outputs.
Familiarity with enterprise infrastructure requirements, including identity and access management, network isolation, security, monitoring, and reliability.
Strong Python and Linux skills: you can read unfamiliar code, automate a setup, and debug from logs and metrics.
Practical experience with containers and Kubernetes, including configuration, networking, storage, and scheduling.
A record of getting useful software working with incomplete requirements, measuring results, and following through with the people using it.
Helpful experience
Enterprise customer engineering, solutions architecture, consulting, or taking a new product from an initial customer problem to adoption.
Distributed compute such as Ray, Slurm, Spark, or multi-GPU jobs.
NVIDIA GPU workloads, including memory management, drivers, CUDA, NCCL, and monitoring.
Model serving with vLLM, SGLang, TensorRT-LLM, or TGI.
Robotics, simulation, synthetic data, reinforcement learning, world models, or tools such as Isaac Sim, Isaac Lab, Omniverse, and Cosmos.
Infrastructure automation and enterprise integrations, including Terraform, CI/CD, private connectivity, and identity federation.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$179,500
—
$224,300 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: New York, New York
About Us:
EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of
Inc.’s Best Workplaces
3 years in a row and Built In’s Best Places to work in 2025 and 2026!
As a
Business Analyst
on the Data Science & Insights team you will translate complex data into clear, actionable insights that drive operational change and measurable client outcomes. You will work with leaders across DS&I and Client Strategy to identify KPIs and develop robust, scalable, and trustworthy reporting to both track historical metrics and inform resulting business strategy.
You will support technical development across the Data Science & Insights portfolio, from writing SQL queries to developing reusable Python tools to creating Looker dashboards. You will help drive the evolution of scalable client analytics, from automated reporting and self-service QBRs to high-impact ROI storytelling, while acting as a trusted analytical advisor across Product, Client Services, Sales, and Data Science. The quality of your insights will directly influence product direction, client retention, and how the business evaluates and prioritizes opportunities.
Key Responsibilities:
Report Quality:
Review data artifacts to ensure that data transformations are accurate and reporting correctly communicates the metrics in question.
Scale Reporting Infrastructure:
Build out tooling to scale and automate client reporting, while ensuring data is trustworthy. Support contribution to team's github code repositories with strong Python and SQL skills, with a willingness to learn additional tools like dbt
Data Storytelling:
Create high-impact visualizations and business cases that demonstrate the ROI of AI integration to our B2B clients.
Stakeholder Synthesis:
Translate complex model behaviors (e.g., propensity to close, intervention scoring) into actionable insights for claims adjusters and executive leadership through in depth analytics.
Requirement Architecture:
Collaborate with senior DS&I team members to define "Success Events" for new AI features, ensuring that technical builds align with the Behavioral North Star of the product.
Required Qualifications:
5+ years as a Business Analyst or similar role, preferably within Disability Insurance, FinTech, or a SaaS company leveraging Machine Learning.
Analytical Rigor: Proficiency in Python (Pandas, script development), SQL, and data visualization tools (Tableau, PowerBI, Looker) to perform independent "deep dives" into claim performance data.
Strategic Communication: Proven ability to explain the "Why" behind an AI recommendation to non-technical users.
Domain Expertise: Familiarity with claims management workflows, "duration compression" concepts, and the regulatory landscape of disability insurance is preferred
Work-life, Culture & Perks:
Compensation:
The base salary range is
$165-180K,
with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
Well-Being:
Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
Home & Family:
Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
Office Life:
Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
Growth & Training:
$1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
Sponsorship:
We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.
EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.
ABOUT THE ROLE
As an engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
- AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
- Model & systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
- Evaluation & quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
WHAT YOU’LL ACHIEVE
- Partner with your team to prototype and ship an AI-powered product improvement
- Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
- Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
SKILLS YOU'LL NEED TO BRING
- You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
- Expertise building and prototyping: You’re excited to build and iterate quickly, and you’ve started exploring AI/ML through coursework, projects, internships, or hackathons. You’re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
- Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
- Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
NICE TO HAVES
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $130,000-$150,000.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, California
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.
ABOUT THE ROLE
As an Early Career Software Engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
We’re hiring early career engineers to join us across several teams at Notion. Your recruiter will partner with you to find the team that aligns best with your interests and where you can make the highest impact.
WHAT YOU’LL ACHIEVE
- Plan, build, and ship product features from conception to launch, then iterate based on insights and customer feedback.
- Improve performance, reliability, and quality of key experiences used by millions of users and thousands of organizations.
- Run experiments that drive activation, retention, collaboration, and revenue, partnering with design, data science, and research.
- Build internal tools and platform improvements that help all engineers ship quickly and safely.
- Contribute to team norms, code quality, and a culture of learning and thoughtful tradeoffs.
AREAS YOU MIGHT WORK ON
- Acquisition: Landing pages, signup/auth flows, pricing + plan selection, workspace creation, invitations during onboarding, and experiments that improve conversion and time-to-value.
- Adoption / Activation: In-product education, templates, reminders, onboarding tours, lifecycle nudges, and measurement frameworks that increase depth of use, retention, and habit formation.
- Experimentation & Measurement (cross-cutting): A/B testing infrastructure, analytics event quality, dashboards, and iteration loops that let teams learn quickly and ship confidently.
SKILLS YOU'LL NEED TO BRING
- You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
- Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
- Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
NICE TO HAVES
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $130,000 - $150,000
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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 Director of Product to lead our Financial Incentives team. This role will report to the Head of Product. Your team owns the financial layer that drives world-class engagement amongst Garner members and steers them to top-performing providers by making Garner the most convenient and affordable way to pay for healthcare.
You will lead 3-4 teams responsible for the member-facing incentive experience, our portfolio of payment mechanisms (card, HRA, HSA contributions, direct provider payment, and emerging alternatives), employer-facing plan design and coverage policies, and the core platform that adjudicates claims, moves money, and reports on it. Today, Garner reimburses $100M+/yr and growing in patient bills annually: you will be responsible for making that experience delightful for members, trusted by employers, and resilient at scale.
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 strategy and roadmap for Garner’s Financial Incentives portfolio, spanning the member incentive experience, the suite of payment mechanisms (card, HRA, HSA, direct provider payment), employer-facing plan design and coverage policies, and the underlying claims adjudication, payments, and ledger platform.
Build, mentor, and scale a high-performing product management team (4 PMs and growing) and develop the next generation of PM leaders at Garner.
Act as Garner’s internal and external-facing executive-level subject matter expert on financial incentives, payment mechanics, and the operational systems that move money reliably at scale.
Partner closely with Engineering, Design, Operations, Finance, Legal, Compliance, Clinical, and GTM teams to ship trusted, mission-critical products.
Define the metrics that matter and rally the organization around them.
Make sharp prioritization decisions across a portfolio with high regulatory complexity, high customer expectations, and significant 0-to-1 product surface area still to build.
The ideal candidate has:
8+ years of product management experience, including 3+ years managing and developing product managers.
Demonstrated experience building and shipping financial products at scale — payments, ledgers, card programs, consumer financial experiences, or other money-movement systems.
Deep expertise in at least one of payment infrastructure (rails, settlement, reconciliation, ledger) or consumer financial products (card, rewards, reimbursement, HSA/HRA-like instruments) at scale.
Track record of leading both 0-to-1 product development and the scale-up of production systems, comfortable building net-new platforms and improving systems already moving real money.
Strong technical fluency—can credibly engage engineering on system design, data models, APIs, and reliability tradeoffs.
Exceptional written and verbal communication, with the ability to drive alignment with executives, internal teams, and external partners.
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
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 salary range for this position is $323,000 - $379,000. 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), 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 Senior Product Manager to lead our Payment Foundations team, responsible for building a secure, reliable, and scalable platform for money movement across Garner. This role is the core platform enabling Garner’s financial incentives, which drives best-in-class health and financial outcomes for patients and employers. This role reports to the VP of Product Management.
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 Garner’s payments platform strategy and roadmap, including payment systems, financial ledger, payments data products, and payment operations tools.
Be the internal and external owner for Garner’s payment partner and vendor integrations, including our payment processing and card vendors, bank partners, and HSA provider integrations.
Drive development of APIs, integrations, and platform capabilities that enable teams across Garner to initiate, track, and reconcile money movement safely and reliably.
Establish company-wide standards for compliance, financial reporting, and incident response.
Partner with product, engineering, operations, legal, and finance to enable 0-to-1 payments products and use cases. Example projects include designing a financial ledger to record member account balances and transactions, developing automated integrations with Health Savings Account providers to make deposits on behalf of members, and expanding reimbursement methods for members through Paypal or Venmo.
The ideal candidate has:
5+ years of Product Management experience, including at least one role owning a technical or platform product end-to-end
Strong systems thinking and detail orientation — you instinctively look for edge cases and reason from first principles about how systems can fail
Strong technical background, with experience owning technical products APIs, integrations, and data systems
Superb written and verbal communication, with the ability to translate complex technical concepts for engineering, business, and external stakeholders
Bonus: experience building financial or other highly-regulated products, or large-scale financial systems
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
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 salary range for this position is $222,000 - $245,000. 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), 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: Los Angeles, USA
Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from efficient business platforms to next-generation AI capabilities.
As a
Staff Data and AI Engineer
on the Enterprise Data & AI team, you will operate at the intersection of data engineering, data architecture, and AI solutions for Riot Enterprise. You will be instrumental in designing and building the enterprise data warehouse, developing scalable data integrations (connecting platforms like OneStream, Oracle, Workday, and Databricks), and delivering critical Enterprise agentic analytics and AI services.
The ideal candidate blends hands-on technical expertise with a strategic, platform-oriented mindset. You will be responsible for creating robust technical solutions, including scalable data pipelines, comprehensive data warehouse models, and AI enabled workflow and process automations. This work involves close collaboration with Enterprise leaders, architects, and system owners, and data specialists to translate corporate strategic and operations business requirements into secure, high-value, and maintainable solutions.
The role will report to the Senior Manager, Enterprise Data and AI.
Responsibilities:
Partner with stakeholders across Finance, HR, Legal, IT, and Operations to understand business workflows, clarify requirements, and translate them into technical designs, with an immediate focus on process automation, conversational agents, and data integrations for key corporate systems.
Design, build, and maintain the data and platform components of Riot’s Enterprise AI ecosystem, contributing to reference architectures for RAG/agents (indexing, vector stores, caching) and orchestration frameworks.
Contribute to conceptual and logical data models for enterprise domains and help connect those models to business capabilities, processes, and downstream applications.
Design, build, and maintain data pipelines, transformations, integrations, and warehouse-oriented data products across enterprise platforms and data systems.
Support reporting, analytics, and application capabilities by helping shape reliable data foundations and implementation patterns.
Required Qualifications:
Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, or related field (or equivalent experience delivering enterprise technology solutions).
8+ years of experience in enterprise applications, data engineering, or platform engineering spaces, including delivery of data and automation solutions at scale.
Experience delivering AI (traditional or generative) or advanced agentic automation solutions at scale.
Strong technical knowledge of orchestration platforms (Workato, n8n, Camunda) and AI platforms (e.g., Google Vertex/Agent Platform, Anthropic Claude Platform, OpenAI Platform) and their enterprise applications, including Retrieval-Augmented Generation (RAG), as well as knowledge management, data governance, quality, and architecture in enterprise contexts.
Hands-on experience building or supporting data pipelines and integrations across enterprise applications, APIs, middleware, and data platforms.
Required hands-on experience with Databricks for developing, transforming, and operationalizing data workflows or warehouse-oriented solutions.
Strong familiarity with data transformation and data warehousing methodologies, including dimensional modeling and medallion architecture patterns.
Strong technical knowledge of enterprise platforms (e.g., Workday, ServiceNow, Coupa, Concur, Oracle, IronClad) and respective integration options.
Desired Qualifications:
Experience supporting master data, reporting, analytics, or business intelligence use cases.
Strong hands-on experience with Workato, including implementing agentic workflows and AI-powered operational analytics and automations.
Familiarity with frameworks for agent development (e.g., LangChain, Pydantic AI) and orchestration platforms (e.g., LangGraph, CrewAI, Vertex AI Agent Builder, Microsoft AutoGen, or similar).
Experience building or integrating enterprise knowledge search platforms (e.g., federated search, vector DBs, retrieval-augmented generation) for enterprise use cases.
Experience with cloud data and application technologies such as AWS data services, dbt, or event-driven integration patterns.
Experience leading change in complex organizations and mentoring teammates or helping less technical partners adopt better data and systems practices.
For this role, you'll find success through craft expertise, a collaborative spirit, and choices that focus on your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
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.
Garner’s mission is to transform the healthcare economy, delivering high-quality and affordable care for all.
We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures.
Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale.
About the role:
We are seeking an exceptional Senior Product Manager to lead our Employer Experience team, the team responsible for building our employer-facing benefit experience. This role owns both the external-facing experience and internal systems and tools that support how Garner’s employer clients interact with and experience the Garner benefit. This includes our client and broker-facing Garner Portal, our invoicing and eligibility systems, and a suite of internal applications operated by the Implementations, Integrations and Finance teams. This role reports to the Head of Product.
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 Garner’s external-facing employer experience strategy and roadmap, including development and expansion of the Garner Portal.
Drive development of internal revenue and eligibility data products that enable teams across Garner to perform analytics based on Garner’s membership and revenue.
Partner with product, engineering, operations, legal, and finance to enable 0-to-1 employer-facing products and use cases. Example projects include designing a broker-facing product enabling them to gain insight into the performance of their customers, or building a data warehouse product enabling innovative provider and plan analytics.
The ideal candidate has:
5+ years of Product Management experience, including at least one role owning a technical or financial product end-to-end.
Strong systems thinking and detail orientation. You instinctively look for edge cases and reason from first principles about how systems can fail
Strong technical background, with experience owning financial or data systems at scale.
Superb written and verbal communication, with the ability to translate complex technical concepts for engineering, business, and external stakeholders.
Deep AI fluency, using AI daily to run analyses, build prototypes, and automate workflows. You pride yourself on staying at the bleeding edge of what’s possible.
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
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 salary range for this position is $222,000 - $245,000. 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), 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: São Paulo, Brazil
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
As a Customer Success Manager, you’ll work directly with some of our largest customers to help them get the most value from the Figma platform. You'll design and deliver tailored enablement strategies that drive product adoption, help uncover new use cases, and support long-term success.
In this highly collaborative role, you’ll partner with various internal teams such as Account Executives, Onboarding Managers, Technical Account Managers, and Industry Advocates to deliver a seamless and impactful customer experience.to deliver thoughtful, engaging experiences for our customers. Your ability to build strong relationships, connect the dots between product features and customer goals, and communicate with clarity will make you a trusted advisor and strategic partner.
If you’re passionate about helping customers thrive, enjoy solving complex problems, and love working at the intersection of product and customer success, we’d love to meet you.
What you’ll do at Figma:
Manage the adoption journey for a portfolio of large, strategic customers
Understand customer goals and success metrics, and use product data to inform proactive engagement strategies that lead to measurable value delivery
Document proactive engagement strategies as part of high quality, bespoke enablement plans
Share best practices, use cases, and product expertise to help teams unlock the full value of Figma
Build trusted relationships with stakeholders across roles and departments - from individual contributors to senior leaders
Identify and empower internal champions who can advocate for Figma within their organizations
Collaborate with Account Executives on account reviews, expansion opportunities, and renewal risk migration
Deliver live and scalable training sessions customized to customer maturity and needs
We'd love to hear from you if you have:
4+ years of experience in Technical Account Management, Technical Customer Success, Customer Success, Customer Enablement, Account Management or a relevant customer-facing role in SaaS
Excellent communication skills, with the ability to connect with a wide range of customer personas
Strong product knowledge and a customer-first, consultative approach to solving challenges and driving adoption
A track record of driving impactful outcomes, adapting to evolving customer needs, and collaborating effectively with cross-functional teams
This role will focus on supporting customers using our product in Latin America, written and spoken fluency in Portuguese, Spanish
and English is required
While not required, it’s an added plus if you also have:
Experience using Figma or working with design and collaboration tools
Background in UX/UI, Design Ops, or Frontend Development
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
- Lead large-scale brand campaigns across digital, events, and out-of-home.
- Partner with engineering and product marketing on major product launches.
- Turn complex technical ideas into clear, compelling visual communication.
- Evolve the Baseten visual identity into a brand system that scales.
- Own projects end-to-end, from concept through launch, collaborating directly with marketing, product, engineering, and leadership.
- Shape our employer brand and help define how new hires experience Baseten.
- Raise the bar for craft across every customer touchpoint.
REQUIREMENTS
- You have a portfolio of exceptional work with outstanding visual craft and attention to detail.
- You care deeply about quality and sweat the details.
- You communicate ideas clearly and thrive in collaborative environments.
- You know when to build systems, not just execute on assets.
- You default to ownership and are comfortable leading highly cross-functional projects from concept through launch.
- You're excited by technical products and know how to make complex ideas feel consumable without oversimplifying them.
- You thrive in a fast-moving environment with a high bar for quality.
- You have strong opinions about design and can articulate why something works - and why it doesn't.
NICE TO HAVE
- Motion design and animation experience
- Experience designing for developers or highly technical audiences.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: United States
POWER A WORLD OF TRUST
Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.
Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.
We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!
About Incode
Incode is a Series B unicorn ($2.2B) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast—and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative.
The Impact You’ll Make
As a Senior Technical Account Manager at Incode, you own the end-to-end technical relationship for a portfolio of strategic accounts. You're not an escalation path, you're a proactive technical partner embedded in the customer's world, translating complex integration challenges into delivery plans, keeping production environments healthy, and making sure Incode's products work the way they were designed to.
The Incode TAM role spans more ground than most: you'll operate as a solutions engineer, escalation point, implementation consultant, technical project manager, and trusted advisor depending on the day. The people who thrive here are comfortable with that range. They're resourceful, autonomous, technically deep, and genuinely motivated by customer outcomes.
What You’ll Own & Drive
Technical Relationship
•
Serve as the primary technical point of contact for one or more strategic accounts across financial services, telecom, healthcare, and enterprise verticals
•
Build trusted relationships with customer engineering teams, architects, and platform owners. Be present and credible in technical conversations at every level
•
Maintain deep familiarity with each account's integration architecture, production environment, and technical roadmap
Implementation & Integration
•
Lead and project manage technical onboarding for new use case and new product deployments
•
Provide hands on guidance on Web and Mobile SDK integration, REST/webhook architectures, and backend configuration patterns
•
Review integration designs, identify risks, and recommend architectural adjustments before they become production problems
Production Health & Incident Response
•
Monitor account health, proactively identify degradation risks, and drive resolution before customers feel it
•
Lead technical bridges during incidents: coordinate internal engineering, communicate clearly with customer stakeholders, and drive postincident reviews
•
Own change and release management for your accounts: coordinate upgrade windows, test plans, and rollback procedures
Customer Advocacy & Internal Coordination
•
Translate customer pain into actionable product feedback, synthesize patterns across accounts and bring them to Product and Engineering with clarity and data
•
Pull the right internal resources (Product, Engineering, Support) behind the scenes so customers experience a unified Incode team
•
Collaborate closely with your aligned Account Director on account strategy, health, and expansion opportunities
GenAI & Continuous Improvement
•
Actively build and share AI assisted workflows that reduce repetitive work, accelerate customer onboarding, and improve documentation quality
•
Contribute to the TAM team's shared knowledge base, playbooks, runbooks, and integration guides that make the whole team better
The Qualities That Set You Apart
Proven Multi-Account Manager –
You manage multiple complex accounts simultaneously without dropping threads.
Clear Communicator –
You can explain a technical problem to a CISO and an integration error to a backend engineer in the same conversation.
Autonomous Operator –
You don't wait to be told what to do — you're experienced operating in ambiguous environments with minimal guidance.
Proactive Problem Solver –
You have a track record of identifying and resolving issues before they escalate.
Your Background
Technical Depth – Required
•
3+ years in a technical customer facing role: TAM, Solutions Engineer, Implementation Consultant, Customer Success Engineer, or equivalent
•
Strong working knowledge of REST APIs, webhooks, and async integration patterns | you can review an API design and spot problems
•
Hands on experience with Web and/or Mobile SDK integration (iOS, Android, JavaScript/TypeScript)
•
Proficiency with SQL for log analysis, troubleshooting, and operational reporting
•
Ability to build and interpret data analysis and reporting artifacts, usage trends, account health metrics, SLA tracking, and operational dashboards that inform both customer conversations and internal decisions
•
Comfort with cloud infrastructure fundamentals (AWS preferred), you don't need to be a DevOps engineer, but you need to understand deployment models
•
Scripting ability (Python, Bash, or equivalent), you automate your own repetitive work
•
Proven ability to manage multiple complex accounts simultaneously without dropping
•
Strong written and verbal communication, you can explain a technical problem to a CISO and an integration error to a backend engineer in the same conversation threads
•
Experience operating autonomously in ambiguous environments, you don't wait to be told what to do
•
Track record of proactively identifying and resolving issues before they escalate
Bonus
•
Experience with identity verification, fraud prevention, or biometric authentication
•
Familiarity with compliance frameworks relevant to enterprise customers (SOC2, PCI, GDPR/CCPA)
•
Prior experience at a high growth SaaS or fintech company
Why Incode?
Mission with Meaning
– Shape how billions of people prove identity—safely, simply, and ethically.
Rocket-Ship Growth
– Join at an inflection point where your strategies will compound in value for years.
Elite Team & Backing
– Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category.
Ownership & Autonomy
– Operate like a founder with the resources of a unicorn.
Global Impact
– Every program you launch will reverberate across industries and continents.
Ready to ignite the future of trust?
Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum.
Aspects of our Culture:
High performance
Freedom & responsibility
Context, not control
Highly aligned, loosely coupled
Continuous Feedback
Promotions & Development
Learn more about
Life at Incode
!
Benefits & Perks:
Flexible Working Hours & Workplace
Open Vacation Policy
Equal Opportunities:
Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you.
Applicant Data Privacy:
We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.
Location: Tel Aviv-Yafo, Tel Aviv District, Israel
About Aidoc
Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year.
Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.
Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.
About this role
As a SecOps Engineer, you will help protect Aidoc’s cloud environments, products, corporate systems, and sensitive healthcare data by investigating SIEM alerts, supporting incident response, and improving the quality of security monitoring and operations.
This is a hands-on security operations role for someone who can analyze security signals, understand real risk, communicate clearly, and help the organization detect, investigate, and respond quickly and effectively to security events.
You will work closely with real production environments, where accurate investigation, clear documentation, and practical escalation are critical to protecting sensitive healthcare data, customer trust, and the reliability of Aidoc’s clinical AI platform.
Responsibilities
Own the end-to-end investigation of SIEM alerts across cloud, product, identity, endpoint, and SaaS environments: analyze the relevant evidence, separate false positives from real threats, and prioritize cases based on risk and impact.
Escalate high-risk findings with a clear summary of what happened, what is affected, why it matters, and what actions are required.
Support incident response by collecting evidence, assisting with containment, tracking remediation, and maintaining clear investigation records for internal reviews, compliance needs, and post-incident learning.
Improve SIEM rules, dashboards, alert logic, playbooks, telemetry coverage, and detection quality to reduce noise and strengthen security monitoring.
Work with Security, IT, DevOps, R&D, Product Security, and Compliance teams to resolve issues and improve security operations.
Requirements
2+ years of experience in Security Operations, SOC analysis, detection and response, incident response, cloud security operations, or a similar hands-on security role.
Hands-on experience with SIEM-based investigations, including alert triage, log analysis, event correlation, evidence review, case prioritization, and escalation.
Experience working with security telemetry from cloud platforms, identity providers, endpoints, SaaS systems, network tools, application logs, and production environments.
Familiarity with cloud-native environments, including IAM, storage access, workloads, Kubernetes, containers, APIs, logging, monitoring, and CI/CD pipelines.
Understanding of common attack techniques, including credential compromise, phishing, privilege escalation, suspicious API activity, malware, data exposure, lateral movement, and cloud misconfigurations.
Experience with identity and endpoint investigation, including SSO, MFA, service accounts, privileged access, EDR alerts, and suspicious user or device activity.
Ability to use query or scripting languages such as KQL, SPL, SQL, Python, Bash, or similar.
Familiarity with incident response workflows, case management, evidence collection, remediation tracking, and post-incident review.
Strong analytical judgment, with the ability to separate false positives from real risk and explain findings clearly.
Ability to work independently, document investigations clearly, and escalate issues with the right level of urgency.
Strong communication skills and the ability to work with Security, IT, DevOps, R&D, Product Security, Compliance, and business stakeholders.
Close attention to detail, strong ownership, and comfort working in a fast-moving production environment.
Additional Strengths
Experience in healthcare, healthtech, medical devices, digital health, or regulated software environments.
Familiarity with HIPAA, GDPR, SOC 2, ISO 27001, NIST CSF, or similar security and privacy frameworks.
Familiarity with MITRE ATT&CK, detection logic, attacker behavior, and investigation playbooks.
Experience with threat hunting, detection engineering, malware analysis, forensics, or advanced incident response.
Experience with SOAR platforms, case management systems, threat intelligence feeds, detection-as-code, or SOC automation.
Experience improving SOC metrics such as alert noise, false-positive rate, time to triage, time to escalation, and investigation quality.
Experience working with sensitive data, PHI/PII, customer-facing environments, or audit-ready evidence collection.
Working at Aidoc
Our Perks:
Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives)
We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees.
Amazing and healthy breakfasts and lunches prepared daily by our personal chef!
Stocked up kitchen & meal card
Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes.
Amazing culture - collaborative, transparent & fun!
Attractive compensation package & benefits
Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
Location: Tel Aviv-Yafo, Tel Aviv District, Israel
About Aidoc
Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year.
Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.
Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.
About this role
As a Senior Product Security Engineer, you will help ensure that security is built into the products, platforms, AI systems, and clinical workflows that support healthcare providers and patients at scale. This is a hands-on technical role focused on securing real systems in production, influencing architecture, and partnering closely with engineering, AI, DevOps, product, quality and regulatory.
You will work across cloud-native services, medical imaging workflows, healthcare integrations, AI/ML pipelines, APIs, data flows, and regulated product development processes. Your work will directly support Aidoc's ability to deliver secure, reliable, and trusted clinical AI solutions to healthcare organizations worldwide.
What Makes This Role Unique at Aidoc
Clinical AI with real-world patient impact
- Aidoc operates in an environment where security is not only about protecting systems and data. Security decisions can affect clinical workflows, care-team coordination, customer trust, and patient safety.
Highly sensitive healthcare data
- You will help protect medical imaging data, clinical metadata, PHI/PII, customer environments, and AI-driven workflows that require strong privacy, access control, data protection, and auditability.
Security for AI/ML and medical imaging systems
- The role extends beyond traditional AppSec into AI/ML security, data pipeline protection, inference integrity, model-related risks, and misuse scenarios in clinical workflows.
Complex healthcare integrations
- Aidoc integrates with hospital systems and healthcare workflows that may include PACS, EHR, VNA, RIS/worklists, scheduling systems, and communication platforms. You will help secure the data flows, authentication models, APIs, and deployment patterns behind these integrations.
Engineering-driven security in a regulated environment
- This is not a checkbox compliance role. However, because Aidoc operates in healthcare and clinical AI, security must be practical, evidence-based, and aligned with regulatory, customer, and quality expectations.
Cloud-native scale and production ownership
- You will work with modern cloud infrastructure, Kubernetes, containers, CI/CD pipelines, identity and access management, observability, vulnerability management, and software supply-chain controls.
Responsibilities
Secure product and clinical workflows end-to-end
- Work directly with engineering and product teams to identify, prioritize, and remediate security risks across services, APIs, medical imaging workflows, AI outputs, data flows, and customer-facing product features.
Drive secure-by-design architecture
- Provide practical security guidance on authentication, authorization, tenant/customer isolation, encryption, secrets management, service-to-service communication, audit logging, and secure data handling.
Strengthen cloud-native security
- Improve security across cloud environments, Kubernetes, containers, IAM, network segmentation, workload identity, infrastructure-as-code, logging, monitoring, and cloud security posture management.
Embed security into the development lifecycle
- Integrate, tune, and operationalize security tooling across CI/CD pipelines, including SAST, SCA, IaC scanning, container scanning, secrets detection and build/release integrity controls.
Own vulnerability management as an engineering system
- Prioritize vulnerabilities based on exploitability, product exposure, customer impact, clinical risk, and regulatory relevance. Drive remediation with engineering teams and reduce recurring issues through root-cause improvements.
Secure AI/ML-driven features and data pipelines
- Partner with AI, data, and platform teams to identify risks related to training and inference data, model inputs and outputs, model misuse, data leakage, access to sensitive datasets, pipeline integrity, and production monitoring.
Improve software supply-chain security
- Reduce risk across open-source dependencies, third-party components, third-party algorithms, container images, build systems, artifact repositories, release pipelines, and deployment processes.
Mentor and enable engineers
- Help developers understand security risks, make secure design decisions, and take ownership of security in their code, services, and infrastructure.
Communicate risk clearly
- Translate technical security findings into clear risk, impact, and trade-off language for engineering, product, leadership, quality, regulatory, and customer-facing stakeholders.
Requirements
5+ years of experience in Product Security, Application Security, Cloud Security, or a similar hands-on security engineering role.
Strong hands-on experience securing production systems, not only performing assessments or reviews.
Strong understanding of secure design, threat modeling, and architecture risk analysis.
Deep knowledge of application security, including OWASP Top 10, API security, authentication, authorization, access control, secure session handling, input validation, and modern attack vectors.
Experience securing distributed systems, APIs, web applications, backend services, and cloud-native architectures.
Strong experience with cloud environments, especially AWS and/or Azure, including IAM, network security, encryption, logging, monitoring, and workload security.
Experience with Kubernetes, containers, infrastructure-as-code, CI/CD pipelines, and modern DevOps workflows.
Practical experience with security tooling such as SAST, SCA, IaC scanning, container scanning, secrets detection, SBOM tools, vulnerability scanners, and cloud security tools.
Experience with vulnerability management, risk prioritization, remediation planning, and working with engineering teams to fix issues at scale.
Strong understanding of software supply-chain security, including dependency risk, build/release integrity, artifact security, and third-party component governance.
Experience working with modern development stacks such as Python, Java, JavaScript/TypeScript, React, microservices, APIs, and cloud-native services.
Ability to influence engineers through technical credibility, practical guidance, and strong collaboration.
Strong communication skills and the ability to explain security risks to technical and non-technical stakeholders.
Working at Aidoc
Our Perks:
Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives)
We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees.
Amazing and healthy breakfasts and lunches prepared daily by our personal chef!
Stocked up kitchen & meal card
Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes.
Amazing culture - collaborative, transparent & fun!
Attractive compensation package & benefits
Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
Location: Berlin, Germany
Workplace: remote
ABOUT YOU
We are looking for an Operations Engineer who is technically curious, detail-oriented, a strong communicator, and proactive to join our Global Technical Operations (GTO) team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to monitor and investigate production issues across a global platform, help improve how we detect and respond to incidents, analyze trends and patterns in production data, and contribute to better communication with partners and stakeholders during incidents.
Strong troubleshooting skills, observability platform experience, and scripting ability are essential, along with experience in SRE, DevOps, production operations, or NOC environments supporting high-availability platforms in the gaming industry. The ability to communicate clearly and effectively in English — both written and verbal — when writing incident updates, shift handoffs, and status page communications will be key to your success in this role.
If you’re passionate about keeping critical systems running and continuously improving operational processes and love being the first to spot issues and the one who drives them to resolution for game developers and players worldwide, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Serve as the primary dashboard monitor during your shift — continuously watch the GTO Operational Dashboard in Datadog, detect anomalies by correlating signals across APM, logs, metrics, synthetic tests, and Real User Monitoring, and determine whether alerts warrant an incident ticket or can be resolved through immediate investigation.
Triage and investigate production incidents — create incident tickets in JIRA Service Management, perform initial technical investigation using Datadog (traces, logs, infrastructure and application metrics), determine blast radius and likely root cause domain, and route to the correct team (Product SRE, Infrastructure SRE, or Engineering) using the smart routing model.
Own lower-severity incidents end-to-end from detection through resolution — diagnose, execute runbook procedures, and resolve without escalation where possible. Escalate promptly when an incident is unresolved within defined thresholds or requires a code-level fix.
Support the TSO Lead during major incidents as the technical right hand in the war room — surface real-time data (error rates, impact scope, deployment history, related alerts), maintain the incident ticket with live timeline entries and linked evidence, and execute mitigation actions as directed.
Draft incident communications under TSO Lead direction, including internal Slack updates, stakeholder notifications, and customer-facing status page updates (status.xsolla.com). Support clear, timely communication throughout the incident lifecycle.
During non-incident periods, analyze incident trends, recurring issues, and production bugs — compile data from Datadog, JIRA, and Slack, identify patterns, and contribute findings to regular reports for product and engineering teams.
Compile incident timelines and draft initial PIR documents for Post-Incident Review preparation. Track PIR action items post-session and flag overdue items to the TSO Lead.
Build and maintain operational automation (alert enrichment scripts, incident templates, Slack workflows, dashboard widgets) and contribute to runbook development — documenting new resolution procedures so they can be repeated by any Operations Engineer on any shift.
Conduct structured shift handoffs covering active incidents, at-risk services, upcoming deployments, and follow-up items. Participate in knowledge transfer sessions with SREs to continuously expand independent resolution capability.
Cover for the TSO Lead during vacations, absences, or emergencies — including severity classification, escalation decisions, stakeholder communications, and basic Incident Commander functions.
Publish health reports of critical apps periodically.
Qualifications:
Previous experience working at a gaming company is required — you understand the pace, player expectations, live operations dynamics, and the operational demands of the gaming industry.
4+ years of experience in SRE, DevOps, production operations, NOC, or technical operations in a high-availability environment.
Strong troubleshooting and investigation skills — ability to take an alert or user-reported symptom and methodically trace it through the stack: application logs, APM traces, infrastructure metrics, database queries, and network paths.
Hands-on experience with Datadog (or equivalent observability platform: Grafana, Splunk, New Relic, Elastic) — navigating APM, building log queries, reading infrastructure dashboards, interpreting SLO burn rates, and configuring monitors and alerts.
Proficiency in at least one scripting language: Python, Go, or Bash. You will write automation scripts, build operational tooling, and work with APIs.
Clear written and verbal communication skills in English — ability to write incident tickets, investigation notes, Slack updates, shift handoff reports, status page communications, and PIR drafts that are clear, concise, and useful to both technical and non-technical audiences.
Working knowledge of Kubernetes and cloud infrastructure (GCP preferred, AWS/Azure acceptable) — understanding of pods, deployments, services, ingress, node health, and how to investigate Kubernetes-related production issues.
Understanding of SLOs, error budgets, and burn-rate alerting — knowing what a multi-window burn-rate alert means, how error budgets deplete, and how SLO breaches translate into incident severity.
Experience with incident management tooling: JIRA or JIRA Service Management, PagerDuty or OpsGenie, Slack, and Confluence.
Experience with or strong interest in AI/ML-assisted operations: anomaly detection, alert correlation, predictive monitoring, or automated remediation.
Comfort with 24x7 shift-based operations as part of a follow-the-sun model with handoff overlaps. Weekend on-call (rotating) is required.
Nice to Have:
Familiarity with Datadog Service Catalog, synthetic monitoring, and RUM (Real User Monitoring).
Experience with distributed systems debugging: tracing failures across microservices, understanding cascading failures, and reading distributed traces end-to-end.
Exposure to database operations (MySQL, PostgreSQL, Redis, Kafka) at a level sufficient to investigate connection pool exhaustion, replication lag, slow queries, or queue backlogs during incidents.
Familiarity with CI/CD pipelines and deployment tooling (GitLab CI, ArgoCD, Helm) — enough to correlate recent deployments with production issues and identify rollback targets.
JIRA Service Management administration experience: workflows, automation rules, SLA timers, and queues.
ITIL Foundation certification is a plus but not required — practical experience matters more.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, Gym membership, monthly train ticket and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally.
Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.
Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Berlin, Germany
Workplace: remote
ABOUT YOU
We are looking for a Technical Service Operations Lead (TSO Lead) who is operationally driven, collaborative, analytical, and a strong communicator to join our Global Technical Operations (GTO) team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to help coordinate incident response alongside cross-functional teams, identify trends and patterns in production issues, improve how we communicate with partners during incidents, and drive continuous improvement through post-incident reviews.
Strong incident management experience, ITIL knowledge, and observability/monitoring expertise are essential, along with experience in technical operations, SRE, or NOC environments supporting high-availability platforms in the gaming industry. The ability to communicate clearly and effectively in English — both written and verbal — across technical and executive audiences will be key to your success in this role.
If you’re passionate about driving operational excellence and platform reliability at scale and love ensuring the reliability and uptime of commerce and payment solutions that game developers and players depend on, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Serve as Incident Commander for major incidents — coordinating cross-functional response teams, driving investigation, making escalation decisions, and ensuring incidents are resolved within SLA targets.
Own all incident communications: draft and send clear, timely updates to senior leadership, Customer Success, and partner/customer contacts throughout the incident lifecycle, and manage customer-facing status page updates (status.xsolla.com).
Facilitate blameless Post-Incident Reviews (PIRs) for major incidents — leading root cause identification, assigning corrective actions with clear owners and deadlines, and tracking them to closure.
During non-incident periods, proactively analyze incident trends, recurring issues, and production bugs — identify patterns, create Problem tickets, and report findings and recommendations to product and engineering teams on a regular cadence.
Enforce the incident management framework across the organization, including the severity model, priority matrix, SLA targets, escalation procedures, and deployment readiness gates.
Oversee and mentor the Operations Engineer on your shift — coaching on triage, investigation, runbook execution, and documentation quality while conducting regular knowledge transfer sessions to build depth across the service portfolio.
Produce shift handoff reports and deliver regular operational reporting: incident trends, KPI performance (MTTD, MTTA, MTTR), SLA adherence, proactive detection rate, and repeat incident analysis.
Audit service catalogue completeness on a regular cadence and govern JIRA Service Management workflows for incident, PIR, and problem management.
Cover for the Operations Engineer role during absences, breaks, or surge incidents. Participate in weekend on-call rotation for major incidents.
Qualifications:
Previous experience working at a gaming company is required — you understand the pace, player expectations, live operations dynamics, and the operational demands of the gaming industry.
6+ years of experience in incident management, SRE, NOC leadership, or technical operations in a production environment supporting high-availability, high-transaction systems.
Proven incident management experience — coordinating multi-team response, making real-time escalation decisions, and communicating with executive stakeholders under pressure.
Excellent written and verbal communication skills in English — ability to draft clear, concise executive updates at 3 AM under pressure, facilitate blameless PIRs, present operational metrics to senior leadership, and communicate incident status to customers and partners with clarity and professionalism.
Strong ITIL foundation — understanding of incident, problem, and change management lifecycles with practical experience implementing or operating ITIL-aligned workflows.
Technical depth across the observability stack — ability to read and interpret logs, traces, and metrics in Datadog (or equivalent: Grafana, Splunk, New Relic). Understanding of APM, SLOs, error budgets, burn-rate alerting, and synthetic monitoring.
Hands-on experience with incident tooling: Datadog, PagerDuty or OpsGenie, JIRA or JIRA Service Management, Slack, and Confluence.
Analytical mindset — ability to identify trends, patterns, and recurring issues from incident data and translate them into actionable recommendations for product and engineering teams.
Experience with SLA/SLO-driven operations where MTTD, MTTA, and MTTR are measured, reported, and improved.
Comfort with 24x7 shift-based operations as part of a follow-the-sun model with handoff overlaps. Weekend on-call (rotating) for critical severities is required.
Nice to Have:
Experience with customer/partner-facing incident communications and status page management.
Experience with or strong interest in AI/ML-assisted operations: anomaly detection, alert correlation, predictive alerting, automated remediation, or self-healing automation.
JIRA Service Management administration experience: workflows, SLA timers, automation rules, queues, and permissions.
Familiarity with Datadog Service Catalog, scorecards, and SLOs — especially burn-rate alerts and multi-window SLOs.
Experience building an operations function from scratch — defining processes, writing runbooks, establishing governance cadences.
Background in Kubernetes, cloud infrastructure (GCP preferred), microservices architecture, or distributed systems.
ITIL certification (Foundation or higher) is a plus but not required.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, Gym membership, monthly train ticket and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally.
Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.
Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
We have multiple open roles for communications and storytelling (narrative development) specialists across social media and content production.
Canonical has a robust portfolio of open source products and offers support for a wide range of open source technologies. This role is for someone who cares deeply about narrative quality and wants to elevate our brand positioning. It requires process discipline and creative smarts, leadership skills and performance-driven strategy to ensure our content aligns with our business objectives.
The ideal candidate is passionate about technology, technology marketing and the use of technology in marketing. They would love to gain experience translating strategy into impact, and collaborating with multiple stakeholders. They enjoy learning and improving themselves, the team and the organization. They problem solve, get hands-on, experiment, measure and use automation and AI to make daily life easier. To succeed in this role, the candidate must be driven, organized and attentive to detail.
These roles report to the Director/Head of Communications and work in close partnership with the Product Management function, as well as Alliances, Sales and Marketing teams, to communicate key company news and announcements, and manage perception of Canonical and its range of products.
Location
:
This role will be based remotely in the EMEA region.
What your day will look like
Develop and execute a content marketing strategy that aligns with our business goals, SEO and brand.
Manage our content calendar end to end, ensuring content is efficiently produced with minimum friction and process clarity.
Ensure content quality, consistency and brand alignment in everything we produce.
Collaborate with our web team to optimize content for search and AI engines, building on proven SEO or GEO expertise.
Monitor and report on KPIs for our content program and use analytics tools to identify improvement opportunities.
Align messaging to ensure integrated campaign support across channels, working closely with our marketing, product and brand teams
What we are looking for in you
Excellent communication skills with the ability to influence stakeholders and work across cross-functional teams.
Familiarity with communications and content strategy, including applied knowledge of content marketing and social media.
Proven experience creating authoritative and engaging content, or leading large-scale brand campaigns. Portfolio of written work required.
Strong strategic thinking grounded in consumer insight, audience awareness, and brand understanding.
Passion for messaging quality and written communication.
Technical curiosity, and interest in software technology and its challenges.
A data-driven approach to communications and content, understanding how to measure and present results that are material to the business.
An exceptional academic track record from high school and university.
Business level written and spoken English.
Sincere personal motivation aligned with our mission.
International travel 2-4 times a year for company events up to two weeks long.
2-7 years of experience in a relevant field
Nice-to-have skills
Applied knowledge of AEO/GEO and SEO
Experience in B2B technology marketing, communications or related fields
Experience developing content marketing or communications strategies for enterprise technology products
Experience with project management tools like Jira
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilization. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
🏠Fully remote working environment - we’ve been working remotely since 2004!
📚Personal learning and development budget of 2,000USD per annum
💰Annual compensation review
🏆Recognition rewards
🏝 Annual holiday leave
👶Parental Leave
🧑💼Employee Assistance Programme
🧳Opportunity to travel to new locations to meet colleagues at ‘sprints’
✈️Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer.
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
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УдалённоseniorМожно работать из любой страны
УдалённоRemote - United States
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