Location: Amsterdam; London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
The role
Global payments are complex, high-throughput, and ever-evolving. At Checkout.com http://Checkout.com, our software engineers develop the next-generation financial technologies that empower merchants to optimize acceptance rates, combat fraud and unlock seamless customer experiences. As a Staff Software Engineer within our Payments Performance pillar, you will step into a critical role of strategic technical leadership. It is rooted in your profound depth of technical expertise and a wide breadth of organizational influence. You will guide the technical approach for your group, aligning multiple engineering teams on architectural priorities, unblocking complex obstacles, and balancing technical excellence with pragmatism for impact. We are looking for someone with a background building robust, automated experimentation or decision engines at a global scale.
How you’ll make an impact
- Drive the long-term technical direction and strategy for the Experimentation and Optimisation platform, looking beyond immediate requirements to ensure our solutions are built for impact and scale.
- Collaborate cross-functionally with Data Science, Platform and ML Engineering teams to shape what we build, not just how.
- Act as a coach and mentor to our engineering teams, providing the technical leadership needed to solve complex distributed systems challenges in Go.
- Proactively identify opportunities and take initiative to elevate the engineering standards within the pillar, fostering a culture of continuous improvement.
- Participate, translate, run and execute the collection of requirements and architecture/design initiatives into clear, actionable engineering roadmaps.
- Serve as a role model for engineering excellence, championing best practices in code, architecture and operational excellence.
What we’re looking for
- Technical leadership: setting direction, breaking down complex problems, influencing across teams.
- Extensive, hands-on experience in building, operating and scaling complex, cloud-based distributed systems (we use mainly AWS).
- Excellent programming skills in Go (Golang), with a deep understanding of concurrent, memory-efficient, and low-latency backend architectures.
- A strong engineering background with a proven track record of implementing, owning, and scaling experimentation systems, feature-flagging infrastructures, or similar data-intensive backend systems.
- A proven ability to raise the bar for engineering standards through effective coaching, mentorship, and a relentless drive for platform improvement.
- Strong presentation, communication, and collaboration skills, with the ability to articulate complex technical or statistical concepts to multidisciplinary teams and influence positive outcomes across the organization.
- A detail-oriented and data-driven approach to building infrastructure solutions where accuracy, thoroughness, and low latency are absolutely critical.
- You take initiative and are deeply accountable to your internal customers and engineering colleagues.
- Bonus: experience with implementing solutions for adaptive experimentation ML (contextual bandits, Bayesian optimization or RL-based allocation)
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: New York, New York, United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Role:
Senior Product Manager, AI (Enterprise AI)
Location:
New York City, NY
Experience Level:
8+ years
Compensation:
$200,000 - $230,000 base salary + equity
Work Model:
Hybrid
Why Join Enterprise AI?
Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it.
As a Senior Product Manager, AI, you’ll work with global financial services clients to set the direction for and build AI solutions inside their most critical back-office functions. You’ll partner with managing directors and business owners, go deep on areas like fund accounting, books and records, and core accounting, and work alongside Turing’s engineering team to turn that understanding into AI products that deliver measurable business value.
This is a product role for someone who drives direction, not someone who only manages a backlog.
As a Senior Product Manager, AI, You Will
Find the Problem Worth Solving
We are looking for an experienced Senior Product Manager to lead the strategy, roadmap, and execution for platforms supporting Back Office Operations, especially around Fund controller accounting and Global Business Finance. The ideal candidate brings strong product management experience combined with deep knowledge of financial operations, operational controls, and controller functions.
This role will partner closely with business stakeholders, engineering, and operations teams to modernize back-office platforms and improve operational efficiency. While familiarity with AI is a plus, the primary focus is on delivering business value through well-designed operational systems rather than building AI solutions.
Work directly with senior leadership, managing directors, and business owners to understand how each part of the business operates, uncover where AI can create the most value, and turn that into a clear product vision, roadmap, and set of priorities.
Go Deep on the Business
Learn each domain you take on (fund accounting, books and records, core accounting, and beyond) in depth, and translate its workflows, controls, and pain points into AI product requirements that meet audit and governance standards.
Ship AI That Works
Lead AI products from discovery through delivery. Define and run evals to measure model and agent quality, design human-in-the-loop workflows that keep operators in control, and coordinate with engineering on the backlog, user stories, milestones, dependencies, and risks.
Our Senior Product Managers Typically Have
Product leadership in financial services:
8+ years as a Product Manager or Product Owner, with significant time in financial services and strong BFSI domain literacy.
Shipped AI products:
A track record of taking LLM-based or agentic products to production.
Hands-on evals and human-in-the-loop design:
Experience defining evals for AI systems and designing workflows where people and AI work together.
AI fluency:
Hands-on depth with AI tools and platforms such as ChatGPT, Copilot, Gemini, and Claude, well beyond basic familiarity.
Executive stakeholder management:
The ability to earn trust with senior business leaders, manage roadmaps and priorities, and keep engineering and business teams aligned.
Nice to have:
Fund accounting experience (NAV integrity, break resolution, exception management, controller sign-off) or hands-on time with Geneva/SS&C, Eagle, Advent, Paxus, or similar platforms.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: New York, NY or Remote
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!
About You:
As an ambitious AI / ML Engineer, you will play a key role in advancing our industry-leading medical synthesis product. You take strong ownership of your work and have a proven track record of leading projects end-to-end, from ideation and requirements gathering through architecture, implementation, deployment, and iteration. You are comfortable operating with a high degree of autonomy, making thoughtful architectural and technical decisions, and helping guide the direction of AI/ML solutions across the product. Thriving in a fast-paced startup environment, you stay current with the latest AI and machine learning research. You’re passionate about applying hybrid approaches that combine large language models (LLMs), statistical machine learning techniques, and retrieval-augmented generation (RAG) with embeddings-based models to deliver better, more reliable outcomes for our users.
In this Role You Will:
Lead AI/ML projects end-to-end, taking ownership from initial ideation and requirements gathering through architecture, development, deployment, and ongoing optimization
Make high-level architectural and technical decisions for AI/ML systems, balancing scalability, performance, reliability, maintainability, and business impact
Design, build, and deploy AI-powered and LLM-driven features for our claim synthesis product, including robust extraction of key information from complex medical documents and human-in-the-loop summarization workflows
Develop and implement hybrid machine learning solutions that leverage statistical models, LLMs, and embeddings-based retrieval techniques such as RAG to improve system accuracy, scalability, and robustness
Write clean, scalable, and efficient code while optimizing the performance of existing AI/ML systems in production
Collaborate closely with data labelers and subject matter experts (SMEs) to rigorously evaluate AI system outputs and continuously improve model performance
Partner closely with Product, Engineering, and other cross-functional teams to gather requirements, define technical approaches, prioritize work, and rapidly iterate on feedback
Provide technical leadership and guidance to other engineers, helping establish best practices and driving consistency across AI/ML solutions
Break down complex, ambiguous problems into well-defined technical solutions and drive projects forward while balancing short-term delivery with long-term architectural considerations
Translate cutting-edge AI/ML research and novel techniques into production-grade, reliable, and maintainable solutions that operate seamlessly in live customer environments
Skills Requirements:
5-8+ years of experience writing performant Python code following modern best practices
Minimum 1 year of experience building and deploying products powered by large language models (LLMs) in fast-paced, professional environments
Proven experience leading technical projects and driving them from concept through production deployment
Experience making architectural decisions for AI/ML systems and evaluating technical tradeoffs across scalability, reliability, performance, and maintainability
Hands-on experience with statistical machine learning techniques as well as hybrid approaches combining LLMs, retrieval-augmented generation (RAG), and embeddings-based models, including vector search and similarity measures
Proven ability to build and integrate API services within service-oriented or microservice architectures
Strong skills in evaluating and interpreting LLM outputs and AI model predictions, with a focus on aligning model behavior with real-world business and user outcomes
Expertise in prompt engineering and fine-tuning of large language models for domain-specific applications
Strong communication and collaboration skills, with the ability to influence technical direction and work effectively with Product, Engineering, SMEs, and other stakeholders
Bonus Points:
Experience translating state-of-the-art AI/ML research into production code
Comfortable collaborating with data labelers and subject matter experts to improve training data and evaluation processes
Experience building agentic or autonomous AI systems in production
Background working with multimodal data (e.g., images, audio)
Experience mentoring engineers or providing technical leadership across projects or teams
Work-life, Culture & Perks:
Compensation:
The base salary range is
$200-235K,
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: South Korea
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU'LL DO
As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra's AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business.
- Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome.
- Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there.
- Partner with the customer's working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch.
- Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next.
EXAMPLE PROJECTS
These are the kinds of projects that strategists on our team have worked on recently:
- Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers.
- Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation.
- Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples.
- Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner.
- Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week.
WHAT YOU'LL BRING
- Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships.
- Communication. Strong English and Korean communication skills. Clear, direct, and persuasive across technical and non-technical audiences.
- Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast.
- Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion.
- Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes.
EVEN BETTER...
- Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts.
- You've been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed.
- A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: Remote Europe
Who are we?
Tripledot
Studios
is one of the largest independent mobile games companies in the world.
We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.
Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.
Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.
We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who
LOVE
making games.
Our ambition is to be the most successful games company in the world, and we’re just getting started.
The role is working within our studio: Lion Studios
Lion Studios
is a mobile games publisher that works with mobile developers to get their games discovered by players around the world. Headquartered in San Francisco, Lion Studios’ creative and strategy teams utilize their expertise to help game developers break through the noise and grow their businesses.
Since launching in 2018, Lion Studios has driven 90% of its games to the Top 10 in the App Store and Google Play and helped drive 16 games to #1 in the US App Store’s Top Free chart.
Role Overview
As our
Ad Monetisation Analyst
, you’ll take ownership of the ad monetisation strategy for a diverse portfolio of games, guiding them from their initial prototype phase all the way to a full launch. Your responsibilities will include building and optimizing ad waterfalls, managing all ad monetisation setups, and conducting A/B tests to continuously improve performance. You will be expected to consistently generate and test new ideas for monetisation innovations.
A key part of the role is to foster strong relationships with external partners to secure the best deals and ensure robust business relations. Internally, you will work closely with the product and growth teams to ensure a cohesive strategy and maximize ad revenue across the portfolio..
Key Responsibilities
Own ad monetisation strategy for a portfolio of games: build, optimize, and manage monetisation setups to maximize revenue across Lion Studios.
Design and execute monetisation-related product decisions.
Lead integration, testing, and rollout of new monetisation partners.
Manage relationships with ad providers.
Propose and drive new monetization initiatives, partnering with engineering to scope and build the solutions behind them
Track eCPM, fill rate, ARPDAU, and other core KPIs, and report performance and insights to Product, UA, and leadership
Serve as a primary point of contact for ad network — technical troubleshooting, escalations, and holding partners accountable to commitments
Comfort designing and reading A/B tests with statistical rigor
Collaborate with Product, QA, and User Acquisition teams to share insights, enhance workflows, and drive efficiency
Required Skills, Knowledge and Expertise
More than 3 years of experience in ad monetisation in gaming.
Hands-on experience with MAX mediation platform.
Ability to adapt quickly to new tools, dashboards, or analytical frameworks.
Self-sufficient, autonomous, and able to juggle multiple projects in a fast-changing environment.
Knowledge of Looker for analytics and reporting is a plus
Working at Tripledot
Time Off: Flexible Discretionary Time Off policy in addition to bank holidays to relax and refresh throughout the year.
Financial: Generous 401k match, discretionary bonuses, and competitive salaries.
Health & Wellness: Comprehensive Medical, Dental, and Vision coverage.
Continuous Professional Development: Propel your career with continuous opportunities for professional development.
Family-Friendly Culture: A generous parental leave policy and a supportive, family-friendly culture.
Regular company events: Yearly on-site events that celebrate our achievements and our team spirit.
Location: New York; San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten's GTM org is in hyper growth. As it grows and matures, the needs of the GTM stack get more sophisticated with scale — and this team exists to stay ahead of those needs. Our GTM Engineering team plays a critical role in building and maintaining the connective tissue across Baseten’s GTM tools, processes, and user experience for the field.
The GTM tooling landscape is changing fast, and the teams that win are the ones that adapt and iterate the fastest. This role exists to make sure Baseten is one of them.
You'll design, build, and ship AI-powered workflows that scale our GTM functions as a competitive advantage. We want someone who can walk in, audit what we have, identify what we're missing, and start shipping fast.
You know when to reach for Clay and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader systems architecture tomorrow. And you bring a point of view — on our stack, on what we should be building, and on where AI can do something low-code tooling simply can't.
RESPONSIBILITIES
- Ship AI-powered workflows for the field — build the agents and automations that give reps and managers real leverage, off-loading the manual and repetitive work. Reach for AI where it does something low-code can't.
- Get insights in front of reps — turn Salesforce, warehouse, and usage data into the dashboards, scores, and alerts reps actually act on. A build isn't done until the field is using it.
- Audit the stack and generate your own backlog — we have a lot of tools, some overlap, and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap.
- Ship rep-productivity workflows fast — triage asks from the field, find the low-hanging fruit, and build it. A good week looks like a VP of Sales asking for something Monday and having it live by Wednesday.
- Know when to go custom — not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default.
- Think in systems, not solutions — every workflow you build has upstream and downstream implications. Anticipate them, design for them, and don't create technical debt that someone else has to unwind six months later.
- Integrate third-party APIs to sync events and information across disparate systems — ensuring data flows reliably between the tools your team depends on every day.
- Document what you build — if people can't find it, understand it, or trust it, it doesn't matter how well it works.
REQUIREMENTS
- 3+ years of experience in GTM Engineering, workflow automation, or a technical RevOps role — ideally at a high-growth, AI-native B2B company
- You’ve shipped production agents on Vercel — build custom internal GTM apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts
- Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) — you're actively building with these tools in production, not just experimenting
- Hands-on experience with Clay as a primary enrichment and workflow tool — you have opinions about how to use it well and you've pushed it to its limits
- Direct experience with Salesforce — you know the data model, you've built on it, and you're comfortable owning CRM-level changes
- A track record of owning end-to-end AI and automation workflows, not just contributing to or consuming them
- Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks
- Strong judgment on the build decision — you know when low-code gets you 80% of the way there and when it becomes the bottleneck, and you act accordingly
- Experience in high-growth B2B technology companies
NICE TO HAVE
- Familiarity with enrichment and data-provider ecosystems beyond Clay
- Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer
- Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.)
- Experience with highly technical software sales cycles and complex GTM motions
- An instinct for stack consolidation — you've inherited a messy tool environment before and helped bring it toward something more intentional without breaking what works
- Systems thinker — you naturally break problems into composable parts, building solutions with separation of concerns so they're reusable, extensible, and easy to maintain
- Comfortable with a little sprawl — you're not paralyzed by ambiguity or imperfect tooling. You know how to experiment, build fast, and clean up as you go
- Challenging work and exposure to a variety of ML startups.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Remote
Workplace: remote
🌎 About Us
TeamSnap is made up of innovators, technologists, builders, and problem-solvers shaping the future of youth sports. We’ve been setting the standard in youth sports technology since we were founded in 2009.
We hire for big ideas and tiny egos — which is part of how we landed on Outside Magazine's Best Places to Work, Built In's 100 Best Remote-First Places to Work and, for several years running, Sports Business Journal’s Best Places to Work in Sports.
TeamSnap is seeking a Staff Software Engineer, Backend, to join our fully distributed engineering team and help us continue scaling systems that serve millions of daily users and tens of thousands of amateur sports organizations. Our primary backend stack includes Node and TypeScript, alongside Elixir, SQL, cloud-based services, event-driven systems, queues, background jobs, caching layers, and observability tooling.
We are looking for a hands-on Staff Backend Engineer with deep, meaningful production Node experience who can build and improve APIs and services, reason through production issues across the system, lead technical design in ambiguous areas, mentor engineers, and raise the quality bar across the team. This person should bring strong systems thinking that connects application architecture with infrastructure, platform, data, security, and other adjacent domains, bringing those teams into architecture and solutioning conversations early without being expected to own those functions directly.
As an engineering team, we architect and build scalable systems using service-oriented and event-driven architecture. This role will help shape the technical foundation behind TeamSnap’s product experience, with a focus on backend systems, APIs, services, data performance, reliability, observability, and production quality.
What You'll Do:
Architect, build, and evolve backend APIs, services, event-driven workflows, queues, background jobs, data models, caching strategies, and integrations that support millions of users and thousands of sports organizations.
Own complex backend product and technical work from discovery through design, implementation, rollout, production support, and long term maintainability.
Lead ambiguous technical initiatives by breaking down problems, identifying risks, making practical tradeoffs, and helping teams move from uncertainty to clear execution.
Provide technical leadership across our Node ecosystem by advancing shared patterns, standards, tooling, and practices, and helping engineers make better Node-specific architectural and operational decisions.
Connect application architecture with platform, infrastructure, data, security, observability, and other adjacent domains, identifying concerns early and bringing the right teams into architecture, solutioning, and scaling decisions.
Improve the reliability, scalability, performance, and operability of production systems through thoughtful architecture, strong testing practices, database optimization, caching, monitoring, alerting, and incident follow-up.
Debug complex production issues by reasoning across application code, databases, caches, queues, jobs, observability data, and the broader request lifecycle.
Partner with Product, Design, Engineering, Infrastructure, Platform, Data, Support, and other teams to turn roadmap needs into durable backend systems and practical delivery plans.
Strong interpersonal skills with the ability to give and receive constructive feedback, mentor engineers, influence cross-team alignment and articulate technical trade-offs to non-technical stakeholders
What Will Set You Up for Success:
Staff level backend engineering depth, with deep, meaningful production Node experience at scale and a strong track record of architecting, building, operating, and improving complex backend systems.
Deep Node and TypeScript experience, including strong understanding of runtime behavior, concurrency, failure modes, performance characteristics, production debugging, and the architectural tradeoffs involved in operating Node systems at scale.
Strong systems thinking, with the ability to connect application architecture and runtime decisions with platform, infrastructure, data, security, observability, and other adjacent domains, bringing those perspectives and teams into the process early as systems are architected, built, and scaled.
Strong SQL and relational database judgment, including indexing, query optimization, migrations, profiling, data modeling, transactions, read and write patterns, and performance tuning.
Practical understanding of service-oriented architecture, event-driven architecture, queues, background jobs, webhooks, Redis or similar caching tools, and systems that need to scale under real production load.
Working knowledge of production infrastructure and platform concerns, enough to reason through deployments, containers, CI/CD pipelines, cloud services, networking basics, observability, and operational debugging.
Strong production ownership mindset, with the ability to use logs, metrics, traces, dashboards, alerts, incident reviews, and system behavior to improve reliability over time.
Demonstrated ability to lead through influence, mentor engineers, facilitate technical decisions, communicate tradeoffs clearly, and connect backend technical choices to customer impact, business needs, and long term maintainability.
Bonus:
Previous work in or close partnership with infrastructure, platform, SRE, DevOps, or data teams.
Elasticsearch experience, particularly operating, scaling, troubleshooting, or designing search and indexing workloads in production.
Familiarity with BigQuery, analytics pipelines, reporting workflows, or high-volume data processing.
Responsible use of AI-assisted engineering workflows to improve debugging, testing, documentation, refactoring, prototyping, or developer experience without compromising quality or understanding.
Got cold feet? If you’re thinking you don’t meet 100% of the above qualifications, you should still seriously consider applying. We’re all humans with special talents that go beyond what’s listed here.
Compensation
We’re committed to equitable compensation for all TeamSnappers. The minimum starting point for this role is $200,000 inclusive of base and bonus, with comp updated based on multiple factors. Our comp is highly competitive in our space and we adjust overall comp based on relevant experience, skills, certifications, and geographic location.
🖥 Location
TeamSnap is a fully remote company, so you'll need to be comfortable working with people in other time zones.
We're always expanding, but we can't currently hire in Alabama, Alaska, Delaware, District of Columbia, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Rhode Island, South Dakota, West Virginia, or Utah. We can only hire permanent US residents at this time.
🚀 Opportunities to Grow
We work hard on a culture built on trust, accountability, and inclusion — one where you can take on more, make a lasting impact, and have some fun doing it.
🎩 Total Rewards
Remote-first since 2009
Flexible PTO and parental leave
100% premium coverage of medical, dental, and vision for you and your family
401(k) to invest in your future
$1,500 annual learning and development reimbursement
Travel to all-company meetings and team events
Generous home office allowance
TeamSnap swag when you start, plus a $50 store credit on every work anniversary
Monthly health and wellness reimbursement, and more
TeamSnap Total Rewards
🏆 Award-winning Culture
At TeamSnap, you're not a culture fit – you're a culture add. Read our Culture Playbook to see how we play, what we ask of each other, and what drives us.
🧡 Inclusion and Diversity
Creativity and innovation don't come from cookie-cutter teams. We hold ourselves accountable for building a culture where everyone is valued.
Need any accommodations during the interview process? Just ask. We are an Equal Employment Opportunity Employer.
AI Notice
We may use AI tools to support parts of the hiring process, such as reviewing applications and resumes or assessing responses. These tools assist our recruitment team; they don't replace human judgment, and final hiring decisions are made by people. Contact us if you'd like more information about how your data is processed.
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
We're hiring a Sales Development Manager to lead the team of SDRs generating pipeline for our North American sales org. You'll own the day-to-day leadership of the team — coaching reps, aligning with AEs and sales leadership, holding a high bar on execution, hiring, and building the systems that make the team consistently productive.
Our market is new and evolves by the day, and our buyers are hyper-technical. Prospecting at Baseten means earning credibility with that audience, and coaching a team to do it at scale. The right person for this role is a coach and a builder — someone who gets energy from developing people, is obsessive about execution, and wants to define what world-class pipeline generation looks like when the product, the buyers, and the sales motion are all AI-native.
RESPONSIBILITIES
- Lead, coach, and develop a team of SDRs responsible for opening doors with the next wave of Baseten customers.
- Own the team's pipeline generation targets and drive consistent execution against weekly, monthly, and quarterly goals.
- Build and refine outbound strategies, messaging, and frameworks across a wide range of accounts, tuned to a technical audience.
- Run 1:1s, team meetings, training, and pipeline reviews that make reps measurably better week over week.
- Partner with AEs and sales managers on account strategy, lead quality, and handoff processes.
- Analyze pipeline data to identify what's working, diagnose what's not, and change it fast.
- Hire and onboard new SDRs as the team grows, raising the talent bar with each hire.
- Work cross-functionally with Marketing, Revenue Operations, and Recruiting.
- Build with AI — test new tools, automate repetitive work, and make your team faster and sharper than a team twice its size.
REQUIREMENTS
- 1-2+ years managing an SDR or BDR team at an enterprise-focused tech company, and 4+ years in tech overall.
- Direct experience as an SDR and/or AE — you've done the job you're coaching.
- Technical aptitude and real curiosity about AI infrastructure. You should be able to hold your own in a conversation about inference and want to get deeper.
- A track record of top performance and progression in fast-paced, results-driven environments.
- Strong coaching instincts — you'd rather be in the trenches on calls and messaging with your reps than managing by dashboard.
- Comfort with data and systems. You can pull a report, spot a trend, and turn it into a coaching conversation or a process change.
- Hands-on with AI in your own workflow — you've built, adopted, or experimented your way to a faster prospecting motion, and you can show us.
- A builder's mentality. You own problems and their solutions, and you're at your best in high-change, fast-moving environments.
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: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Staff Software Engineer, you'll help lead two important areas for GitLab Security: the data layer behind our vulnerability and dependency management capabilities, and our move toward services outside the GitLab monolith. You'll design and develop systems that ingest, store, index, and query security report data, including integrations with key third-party systems. With a strong focus on PostgreSQL and scalable backend design, your work will support security features delivered by teams across GitLab.
You'll take ownership of large deliverables from early ideas through implementation, working directly with product, design, frontend, and engineering partners to shape the technical and product roadmap. You'll stay hands-on across GitLab's Ruby on Rails application and newer services, including greenfield projects, while helping the team build its expertise in modular service design.
What you’ll do
Lead large technical deliverables from initial problem definition through delivery, often across multiple months or quarters.
Design and develop backend systems for vulnerability and dependency management, including security report ingestion, storage, indexing, querying, and integrations with key third-party systems.
Build and improve systems using Ruby on Rails and PostgreSQL, and contribute to newer services using technologies such as Go or Rust where appropriate.
Shape technical plans, break down complex work, and help other engineers deliver effectively.
Work directly with product, design, frontend, and engineering partners to make clear decisions, resolve constraints, and deliver measurable progress.
Influence the team's product and technical roadmap through hands-on investigation, clear proposals, and iterative delivery that demonstrates progress in each monthly release cycle.
Apply a security mindset when designing systems, including considering how GitLab identifies and handles malicious or vulnerable software packages.
Define patterns for modular services, provide technical leadership when vulnerability management work spans multiple GitLab areas, and share that expertise across GitLab Security.
Take part in on-call or operational support where your team’s ownership model requires it.
What you’ll bring
Experience leading complex backend projects from idea through delivery while remaining hands-on with design and development.
Strong PostgreSQL experience, including evidence of query optimization, table optimization, and write-ahead log management in data-intensive systems.
Strong professional experience with Ruby on Rails or Go and comfort working in Ruby on Rails day to day. Experience with large monoliths is helpful, along with an interest in working across languages and services.
Experience shaping delivery plans, guiding technical decisions, and supporting the work of other engineers.
The ability to collaborate with a range of partners and explain technical trade-offs clearly.
Experience communicating with leaders, leading peers through complex delivery, identifying constraints, and moving work forward.
Experience using security tooling for activities such as vulnerability triage and remediation, or professional experience building vulnerability management, dependency management, or related security products.
Experience with large-scale data systems or established software products. We welcome transferable experience from outside the security domain.
Fluency in using artificial intelligence tools to improve delivery while applying sound engineering judgment.
About the team
The Vulnerability Management team contributes to GitLab's move toward modular services and will help other Security teams adopt these patterns over time. Today, we include two Staff Software Engineers, two Senior Software Engineers, and one Intermediate Software Engineer across the United Kingdom, Poland, the Netherlands, and India. You'll work closely with us, product partners, and engineering leaders across GitLab.
We work with clear goals and shared priorities. You'll receive clear context and outcomes, then have the space to own delivery, communicate decisions and progress, ask for help early, and work directly with the partners needed to get the job done.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote - United States
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Little more about the team:
The Storage Team at Honeycomb is the backbone of our platform, responsible for the performance, reliability, and scalability of storing and querying billions of events. We design and own the architecture that powers correct and dependable query results — enabling every product experience from Metrics to Triggers and SLOs. As a senior engineer on Storage, you’ll work on high-impact systems where our customers may never see your code directly, but they’ll rely on it every time they use Honeycomb.
What you’ll do in the role:
Build and deliver high-quality solutions. You will design and implement solutions that power Honeycomb’s query and data storage infrastructure. Whether it’s improving query performance, evolving the Retriever service, or making our storage layer more reliable, you’re eager to jump in and add value where the team needs it most.
Scope and deliver projects independently. You’re comfortable breaking down complex storage and querying problems into achievable steps, surfacing trade-offs, and pulling in teammates when needed. You take ownership end-to-end — from design to production support — reducing toil and ensuring our systems deliver measurable customer and business impact.
Collaborate with cross-functional partners. You’ll work closely with Product Management and other engineering teams to connect technical solutions to product needs, from problem discovery through solution design and delivery. Much of our work is behind the scenes, but it enables every Honeycomb product experience, from Metrics to Triggers and SLOs.
Support our services in production. We believe in owning the software we build. Every engineer on Storage participates in on-call rotations, helps define team KPIs and SLOs, and proactively reduces toil by addressing reliability challenges before they reach customers.
Learn new ways to solve complex problems. As Honeycomb grows, so do the challenges of scaling our systems. You will explore new technologies, data storage techniques, and query optimization strategies to keep performance and reliability strong at scale.
Thrive on collaboration. You enjoy pairing, reviewing code, and offering constructive feedback. You model strong ownership and help your teammates grow, while keeping conversations forward-looking and focused on business value.
What you’ll bring to the role:
Technical leadership in storage and querying. You’ve led the design of patterns and guidelines that improve performance and reliability, and you bring expertise in writing Go along with experience working on high-throughput or complex systems. Prior experience with database engineering is a plus, as is comfort with Kubernetes.
Curiosity and experimentation. You learn by digging in — individually, in pairs, or as a team. You ask questions to better understand complex systems, explore trade-offs, and believe in learning from incidents as a way to improve both technology and practices.
Focus on business outcomes. You tie technical decisions to customer and company impact, weighing whether work is necessary now or later, and considering how projects affect the broader business.
Strength in mentorship and teamwork. You guide engineers through code reviews and help spread knowledge across a team with diverse skillsets so that ownership of critical paths is shared, not siloed.
Resilience in collaboration. You thrive in a senior-heavy team, giving and receiving feedback with grace, and contributing to a culture where tough problems and hard conversations lead to better outcomes.
Execution with impact. You can scope and deliver complex, multi-team projects while balancing production realities, proactively reducing toil, and ensuring systems deliver measurable customer value.
Deep debugging expertise. You’re trusted to diagnose and resolve the toughest production issues across the stack, restoring reliability where others may be stuck.
Influence beyond your team. You multiply impact by sharing knowledge, guiding adoption of new technologies, and driving foundational work that benefits Honeycomb engineering as a whole.
Base Salary based on level of experience
$183,340
—
$206,000 USD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Ciudad de México, Mexico
Workplace: hybrid
At
NOVACARD
, we’re redefining how people use credit. We are the
first interest-free and no-annual-fee credit card in Mexico
, designed to simplify personal finances and give users complete control — all from a mobile app. With NOVACARD, users only pay when they use it and can manage everything digitally. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals. Simple finances, big goals.
About the Role:
We are looking for a
Deputy CFO
to act as the CFO’s direct strategic and operational partner and serve as a full deputy across finance workstreams when required. This is a senior finance leadership role with a strong focus on strengthening NOVACARD’s analytical core —
budgeting, financial modeling, and unit economics
— while also overseeing management reporting, credit portfolio analytics, treasury and liquidity, and finance team development.
You will combine hands-on analytical ownership with senior-level financial leadership, helping translate business and portfolio dynamics into clear financial decisions. The role requires a highly structured finance leader who can build scalable planning and reporting processes, challenge assumptions, maintain rigorous data integrity, and partner effectively with Product, Risk, Marketing, Operations, Legal, investors, and senior management.
Key Responsibilities:
Own the
annual budgeting and rolling forecast process
across revenue, OPEX, CAPEX, and headcount, including monthly re-forecasting and scenario updates.
Build and maintain a robust
budget-to-actual framework
, connecting operational and portfolio drivers — including card issuance, activation, portfolio growth, DPD/NPL trends, and credit losses — to P&L, balance sheet, and cash flow outcomes.
Deliver monthly
variance and root-cause analysis
, identifying deterioration or upside early and translating financial insights into clear management actions.
Continuously improve and automate FP&A processes through standardized templates, driver-based budgeting, stronger data flows, and shorter planning cycles.
Build and stress-test
base, downside, and stress scenarios
, including their impact on profitability, funding requirements, liquidity, and runway.
Own and continuously refine
unit economics models
by product, customer cohort, and vintage, ensuring economics remain current as the business and portfolio scale.
Develop financial models for
new products, pricing changes, and strategic initiatives
, including sensitivity, break-even, NPV/IRR, and cost-of-capital analysis.
Integrate
credit losses, CoR, ECL/IFRS 9, funding costs, and processing/platform expenses
into a defensible view of portfolio profitability per card, cohort, and vintage.
Maintain high standards of
data quality, reconciliation, and traceability
across financial models and management reporting, documenting limitations and developing defensible proxies where required.
Prepare monthly
management reporting
covering P&L, balance sheet, cash flow, waterfall analyses, portfolio economics, and key business drivers for HQ, investors, and the executive team.
Ensure material discrepancies are investigated and resolved before external reporting, and maintain clear disclosure of
related-party versus third-party transactions
.
Own
credit portfolio yield and performance analytics
in partnership with the CRO function, including yield, APR proxy, DPD buckets, NPL/CoR, vintage curves, and cohort performance.
Deliver cohort and vintage analysis to support
pricing, risk appetite, provisioning, and portfolio management decisions
.
Oversee the
13-week rolling cash flow model
, liquidity scenarios, and runway analysis, acting as first-line reviewer and approver on behalf of the CFO when required.
Monitor liquidity across banks and payment platforms and serve as
second-level authorization
within the payment approval framework.
Provide day-to-day leadership and mentoring to the finance organization across
FP&A, Accounting, Treasury, and Data Analytics
, setting clear standards for quality, timeliness, and documentation.
Partner with Product, Risk, Marketing, Operations, and Legal to embed
unit economics and financial discipline
into product, pricing, and strategic decisions from the outset.
Participate in finance systems strategy, including
ERP selection, system integrations, process automation, and financial data infrastructure
.
Act as the
CFO’s proxy
when required, including interactions with HQ, investors, external advisors, and preparation of board-level materials.
Location: Worldwide
Workplace: Remote
Your turn to build what comes next.
At Rasa, we believe the future of AI agents is determined by those who build, experiment, break things, learn quickly, and share what they discover.
Rasa Heroes is a one-month intensive builder cohort to get hands-on with the newest Rasa technology, build something ambitious, and help us learn what the next generation of agent development should look like.
You’ll get early access, a mission, a community of other builders, and direct contact with people building Rasa.
This is a voluntary, unpaid community program. It is not employment, an internship, or a paid position at Rasa.
ABOUT THIS PROGRAM
We’re looking for developers who want to do more than read about the future of AI agents.
We want you to build it.
During the one-month Rasa Heroes cohort, you’ll get preliminary access to the latest Rasa versions and use them to create a working project of your own. You’ll experiment with capabilities that are still evolving, push them into use cases we may not have considered, and tell us where things work—and where they don’t.
We’ll give you the tools, technical resources, access to the Rasa team, and a cohort of other ambitious builders.
You bring the idea and the willingness to ship.
You can expect to:
- Get hands-on with new Rasa technology before broader release.
- Build a real agent or developer project during the one-month build window.
- Join sessions with the Rasa team to learn about the technology, ask questions, and unblock your build.
There isn’t a prescribed project or a step-by-step tutorial.
The point is to explore.
ABOUT YOU
You like building things.
You’re curious about AI agents and want to understand them by working directly with the technology—not just reading about them or watching demos.
You don’t need to be a long-time Rasa developer. We’re interested in people coming from Rasa, other agent frameworks, traditional software engineering, AI/ML, or completely different technical backgrounds.
You’ll probably enjoy being a Rasa Hero if:
- You can build with Python and are comfortable working from the command line.
- You have experience using APIs, LLMs, developer tools, or modern AI frameworks.
- You’re willing to share feedback openly—good and bad.
- You want to meet other developers who are equally serious about building with agents.
- You can commit meaningful time during the one-month cohort and intend to ship something by the end.
You do not need previous professional experience with Rasa.
A strong project, open-source contribution, hackathon build, side project, or simply evidence that you like making things can be much more interesting to us than a particular job title.
MEET YOUR COHORT
You won’t be doing this alone.
Rasa Heroes brings together a small group of builders experimenting with the same technology at the same time.
You’ll be able to compare approaches, trade ideas, share what you discover, and see how other developers solve the same problems differently.
You’ll also interact directly with people at Rasa who are working on the technology you’re using.
This isn’t a classroom.
It’s a build cohort.
WHAT YOU CAN EXPECT FROM RASA
We want to give you ample context and access to move quickly while leaving you plenty of room to explore.
During the program, you can expect:
- Immediate access to new Rasa technology
- A technical kickoff and live demo to get you oriented
- Documentation, examples, and starter resources
- A clear mission and one-month build window
- Direct opportunities to ask questions and share feedback with the Rasa team
- A circle of fellow Rasa Heroes building alongside you
- Opportunities to showcase what you create
- Recognition as part of the Rasa Heroes cohort
PROGRAM DETAILS
Duration: 1 month
Format: Remote
Commitment: Intensive, self-directed builder cohort
Compensation: Unpaid/voluntary
Employment status: Rasa Heroes is a community program and does not create an employment, contractor, or internship relationship with Rasa.
You’ll need access to your own computer and sufficient availability during the cohort to actively participate in and complete your project.
BECOME A RASA HERO
If you’ve been looking for an excuse to build something ambitious with agents, this is it.
Bring us an idea.
Bring us a problem you want to solve.
Or come ready to discover one.
Apply to become a Rasa Hero and show us what you can build.
Privacy Policy
This program is run by Rasa Technologies GmbH. Rasa's Candidate Privacy Policy does not apply to Rasa Heroes; the terms below do.
Your personal data will be processed lawfully, fairly, and transparently, and will not be sold or used for unrelated purposes. Partners are required to implement appropriate technical and organizational measures to protect your data and to process it only in accordance with our instructions and applicable law.
You also acknowledge that photos and videos may be taken during the program. By participating, you grant permission for your image and likeness to be used by the organizers and their partners for promotional, communication, and documentation purposes, in both digital and print formats.
We reserve the right to migrate your personal data to alternative third-party service providers or platforms (e.g., CRM systems, cloud hosting, or email marketing tools) as part of our ongoing efforts to improve program management. Any such migration shall be conducted strictly for the original purposes described in these terms. We ensure that any new provider is contractually bound to provide the same level of data protection as set forth herein and as required by applicable law, ensuring the continued security and confidentiality of your information.
You may withdraw your consent or unsubscribe from communications at any time by using the link provided in our emails. You also have the right to access, rectify, or request the erasure of your personal data, as well as to object to or restrict its processing, in accordance with GDPR by emailing dpo@rasa.com. Questions and complaints can also be submitted to Frank Trautwein, ft@freshcompliance.de.
PLEASE BE MINDFUL OF THE HIRING LOCATION(S) LISTED.
You must be located in and a resident of the location(s) listed for us to proceed with your application.
Location: Americas; APAC; EMEA
Workplace: Remote
RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.
We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.
We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.
This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.
THE ROLE
We're looking for a Senior Product Manager to join our Funnels team.
We need a producty-engineer or an engineering-y product manager to lead the product vision in a highly technical, experimentation-driven domain where UX choices, growth tactics, and analytics all compound.
RevenueCat is the monetization engine for 40% of the new subscription apps shipped. For many of those apps, Funnels will be a critical lever to monetize them: turning web traffic into paying subscribers, testing & iterating to improve performance, adopting web payments in other channels, and much more.
We can, and should, be opinionated about what RevenueCat’s developers should try next to help them make more money. We’re building the “Make More Money Machine”.
You'll lead Funnels, RevenueCat’s web2app product that turns web traffic into paying mobile subscribers, unlocking efficient paid acquisition and empowering app growth teams to iterate quickly. Along the way, you’ll help us evolve the product to address an even wider set of monetization problems that app growth teams face.
You'll partner directly with leadership, collaborate across engineering and data teams, and act as the primary driver for how our customers convert, retain, and grow their subscriber base.
WHAT YOU'LL DO
- Own the product strategy and roadmap for Funnels.
- Be obsessed with your customers. Speak to prospective customers to understand their use cases deeply, and identify the feature gaps blocking adoption. Coordinate with existing customers to unblock them and help them earn more money. Triage and investigate problems proactively, instead of fully delegating to engineering. Dig into what growth teams actually want and the challenges they face, and understand why these products are a crucial instrument in any modern app's growth toolkit.
- Recommend, develop, and maintain new features that deliver value that truly matters, enabling customers to easily spin up compelling experiences, understand the results, and iterate quickly.
- Set the vision. Create a plan that is cohesive, intentional, and impactful. Break it down into meaningful chunks on a reasonable timeline.
- Get it done. Collaborate closely with engineering, design, and GTM teams to bring these growth tools to market. This job cannot be done alone, and will require deep understanding of the individual products and the infrastructure that connects them.
ABOUT YOU:
- You have 5+ years of product management or technical product engineering experience or analytics experience, with meaningful time growing mobile apps.
- You’re analytical. You can’t do your job without data platform access. You are highly proficient in SQL (or similar tools) — whatever tool you need to know, you’ll learn. You love getting deep on the data analysis on your own. You’re experienced in developing robust and scalable metrics.
- You are technical. Coding is not a core requirement for this role, being able to prototype with code is (using your preferred AI stack). You can deeply understand how RevenueCat works — what is simple and what is complex within our domain. Maybe you haven’t built and shipped a mobile app yourself (yet) but you have enough knowledge to work closely and independently with highly technical folks. You can discuss APIs, data models, and risk logic with engineering partners and enjoy diving into system details
- You’re an excellent communicator. You can express complex ideas clearly and succinctly — written and verbal, synchronous and asynchronous, across timezones and mediums. You can get your point across.
WHAT WE OFFER:
- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- A fully remote environment designed around autonomy and flexibility
- 4-5 weeks of flexible time off annually
- Paid desk at a co-working space
- Workspace budget and continuous learning stipend
INTERVIEWING AT REVENUECAT
Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed.
MORE ON HOW WE WORK:
- How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21
- The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/
- How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/
- What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21
- What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on.
dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights.
Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
As a Staff Full-Stack Engineer on the Cloud Clients team, you’ll own end-to-end delivery across the surfaces where dbt developers do their work:
dbt Studio in the browser, the dbt VS Code extension, and the CLI workspace runtime that powers both
.
You’ll help build dbt’s
AI-native developer experience
, including agent workflows, diff review, streaming tool calls, charts and rich outputs for conversational analytics, and MCP apps that bring dbt projects directly into tools like Claude and Codex. This is a true full-stack role: you’ll work across
Python, TypeScript, React, and Kubernetes
, with the expectation that you can take a feature from schema and service design through to the final pixel without a handoff
What you’ll do
Own parts of the CLI workspace runtime that backs both surfaces, including migrating users off our legacy IDE and enabling asynchronous, background agent runs.
Design and build agent-facing experiences: streaming responses, transparent tool calls, diff review, and charting / rich output for conversational analytics.
Extend dbt into other developer surfaces — MCP integrations that make dbt projects usable directly from AI clients like Claude and Codex.
Lead well-scoped projects end to end: write the plan, partner with design and product, ship in two-week increments, and measure whether it worked.
Share oncall and customer support for your surfaces, and mentor engineers earlier in their careers.
Skills we are looking for
8+ years building production software, including senior-level ownership of projects that ran for months and involved several people.
Deep Python experience plus exposure to TypeScript and React experience — you move across the stack without waiting for a handoff.
Built and maintained something other developers depend on: an IDE, an editor extension, a CLI, an SDK, an LSP server, or a data tool.
Comfort with the operational side of shipping — APIs, Kubernetes, Postgres, observability — and with being on the hook when something breaks.
Strong written communication: you can make a technical argument in a document and bring people along.
Worked asynchronously as part of a fully-remote, distributed team
Bonus points for
Shipped LLM- or agent-powered features to production, with real opinions on evaluation, latency, cost, and where models fall down.
Worked with the Language Server Protocol, Monaco, CodeMirror, or other code-editor internals.
Hands-on dbt, SQL, or data warehouse experience (Snowflake, Databricks, BigQuery, Redshift).
Migrated users off a legacy product surface and decommissioned it without breaking them.
Go, Rust, or systems-level performance experience.
#LI-HYBRID
#LI-JI1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: New York, NY, United States
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
About the Team
Every time a fan places a bet, earns a reward, or checks out on Fanatics — Fanatics Core made that possible. We build the shared foundations — identity, payments, loyalty, wallet, data, and platform — that power sports betting, ecommerce, collectibles, and beyond. We supercharge the business by providing products and capabilities so that teams can focus on what matters most: building delightful experiences for the fans.
Fanatics is uniquely positioned at the intersection of sports commerce, betting, and collectibles, and Fanatics ONE is the loyalty and identity program that ties it all together.
Overview
As a Senior Software Engineer at Fanatics, you will design, build, and operate the platforms and services that power the Fan Ecosystem — the systems that connect fans to every Fanatics product and experience. You will own significant technical surface area end to end, set the technical direction for projects that span multiple services and teams, and raise the engineering bar for those around you through mentorship, design leadership, and hands-on delivery.
This is a hands-on, full-stack role with a backend center of gravity. The majority of your work will be building high-throughput, high-availability services in Go, with meaningful contributions to the TypeScript/React front ends those services support.
Responsibilities
Design, build, test, document, and operate high-quality, production-grade software with a focus on Go services and APIs
Own the technical design of medium-to-large features and systems: define the approach, weigh trade-offs, document decisions, and drive them to completion
Break down ambiguous problems into well-scoped, deliverable work for yourself and other engineers on the team
Lead and participate in design and architecture reviews; provide clear, constructive feedback that improves both the design and the designer
Set the standard in code reviews — for correctness, readability, testability, and operational safety
Mentor and grow engineers on the team; onboard new hires and act as a technical point of contact for your systems
Participate in and improve the on-call rotation: instrument your services, drive incident response, and lead blameless postmortems that result in real fixes
Improve reliability, performance, and cost of the systems you own; define and act on SLOs and operational excellence metrics
Identify and pay down technical debt, and make the case for the investments worth making
Partner closely with product managers, designers, and stakeholders to shape the roadmap and make technology decisions that grow the business
Influence and help define the principles, guidelines, and best practices of our engineering strategy — then hold the team to them
Develop deep understanding of our industry, product, feature set, and roadmap, and use it to make better technical decisions
Required Qualifications
5+ years
of professional software engineering experience building and operating production systems
Strong, demonstrated proficiency in Go (Golang) — required.
You have built and shipped production services in Go and can speak to concurrency patterns, error handling, testing, profiling, and performance tuning in the language
Proven experience designing, building, and scaling backend services and APIs (REST and/or gRPC) in a distributed, microservices environment
Demonstrated proficiency in JavaScript or TypeScript, and experience with React or another modern front-end framework
Solid grounding in data stores and messaging: relational and/or NoSQL databases, caching, and event streaming (e.g. Kafka, SQS/SNS)
Experience with cloud infrastructure (AWS, GCP, or Azure), containers, CI/CD, and infrastructure-as-code
Strong operational instincts: observability, monitoring, alerting, debugging production issues under pressure
Track record of leading projects with multiple contributors and delivering them on time without sacrificing quality
Familiar with Agile software product delivery and SCRUM methodology
Able to effectively work cross-functionally within an enterprise environment
Preferred Qualifications
Experience building or integrating with identity and access management systems — authentication, authorization, SSO, and account lifecycle
Hands-on familiarity with identity standards and protocols: OAuth 2.0, OpenID Connect, SAML, JWT, MFA, session and token lifecycle management
Experience with identity providers and CIAM platforms (e.g. Okta, Auth0, ForgeRock, AWS Cognito, Ping) or with building an in-house identity platform
Experience with account security, fraud prevention, PII handling, or regulatory/compliance-driven engineering (KYC, GDPR, CCPA)
Experience designing systems that serve high-traffic, consumer-facing products with spiky, event-driven load
Experience with platform or shared-services work where your consumers are other engineering teams
Experience working in a start-up environment
Experience in sports, commerce, media, or another consumer-scale domain
If you possess some of these qualifications but not all of them, we still encourage you to apply!
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
#LI-KR1
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$121,600
—
$200,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
УдалённоleadRemote: EMEA
seniorNew York, New York, United States; For applicants from the European Union, please review
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УдалённоTeamSnap is a fully remote company, so you'll need to be comfortable working with people in other time zones
ГибридSan Francisco; New York
Bangalore, India
United States - Remote
УдалённоseniorRemote - United States
ГибридCiudad de México, Mexico
УдалённоPartners are required to implement appropriate technical and organizational measures to protect your data and to process it only in accordance with our instructions and applicable law; You must be located in and a resident of the location(s) listed for us to proceed with your application
УдалённоseniorYou can express complex ideas clearly and succinctly — written and verbal, synchronous and asynchronous, across timezones and mediums; APAC; EMEA
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