Simple Life is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle—without the stress or extremes. Our mission is to empower people to feel their best every day. By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support. Simple has had over 17 million downloads and more than 300,000 5-star reviews, having helped millions lose weight successfully and sustainably. Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies — all thanks to a dedicated global team driving real impact. With SIMPLE as a partner in their pocket, users feel cared for and empowered to embrace — and stick to — new healthy habits.
Simple is looking for a Senior Data Engineer to join our Tech team. Push the pace of innovation and build a future of a healthier world with us!
Задачи:
— Design, build, and maintain streaming pipelines.
— Develop custom ingestion pipelines from third-party APIs, webhooks, and SDKs.
— Migrate existing data ingestion pipelines from SaaS tools to our own infrastructure.
— Deliver data to the raw layer of our Snowflake warehouse with schema consistency, idempotency, and resilience to malformed or late data.
— Evolve the existing AWS streaming stack (Kinesis, SQS, Lambda, API Gateway), improving cost efficiency, observability, and resilience.
— Maintain infrastructure as code (Terraform) for ingestion and processing resources.
— Monitor pipelines, troubleshoot, and resolve incidents.
— Contribute to our ongoing work on safe data access for AI agents and tooling.
— Continuously improve ingestion architecture, tooling, and engineering practices.
Требования:
— 5+ years of commercial Python experience in a backend or data engineering role.
— Solid understanding of distributed systems architecture, including load balancing, sharding, and trade-offs between synchronous and asynchronous processing.
— Hands-on experience with cloud services, preferably AWS (Lambda, API Gateway, containers in ECS/EKS).
— Experience building streaming pipelines (Kinesis, SQS, or equivalents).
— Experience with infrastructure as code (Terraform or equivalents).
— Working knowledge of SQL: ability to read and write queries, including joins and window functions.
— Commercial experience with real-world production data: ability to design systems that gracefully handle messy, duplicated, delayed, or malformed input.
— Solid understanding of how data flows through production systems, including the ability to anticipate and prevent downstream issues.
— Operational mindset: comfortable owning production systems and monitoring them.
— Ability to make architectural decisions independently and review the work of teammates.
Желательно:
— Strong SQL and data modeling skills.
— Experience with Snowflake and dbt.
— Experience with workflow orchestrators (Airflow, Dagster, Prefect, or equivalents).
— Experience working with analytics and product teams as a data provider.
— Experience working with sensitive or regulated data.
Условия:
— Open-minded teams, a welcoming and inclusive company culture.
— Competitive salary package based on expertise, skillset, and impact plus stock options.
— In-office, remote and hybrid work opportunities.
— Equipment needed for productivity.
— Premium SIMPLE subscription.
— 21 days annual leave plus bank holidays.
— Flexible hours focusing on results, not desk time.
О компании и ценностях:
— Data-driven decision making.
— Focus on impact and speed.
— Ownership and responsibility.
— Encouragement to push limits and innovate.
— Team accountability and collaboration.
Location: Remote - US
About the Job:
Software powers the world, and LaunchDarkly empowers teams to deliver and control it safely. As a
Senior Backend Engineer
on the
Identity & Access Management
team, you will own the systems every customer touches before they touch anything else:
SAML
and OAuth2 single sign-on,
SCIM
user and team provisioning, login and session management, multi-factor authentication, and the API key and token infrastructure that authenticates every request to our platform. When authentication is wrong, customers cannot get in at all — or the wrong person gets in. Security and availability here are commitments to our customers, not nice-to-haves.
You and your team will make this stack operable and enterprise-ready. Technologies include Go, TypeScript, CockroachDB, Redis, AWS, and Terraform. Exact tool match matters far less than deep backend judgment and a track record of safely changing systems that are not allowed to be wrong.
Responsibilities:
Own LaunchDarkly’s authentication surface end to end — single sign-on,
SCIM
provisioning, login and session flows, multi-factor authentication, and API key and token authentication.
Build the enterprise identity capabilities our largest customers require: additional identity-provider integrations, support for multiple IdPs per account, and
MFA
enforcement by default.
Make the stack operable: SLOs, monitoring for certificate expiry and provisioning failures, actionable alerting, runbooks, and a sustainable on-call.
Partner with Product Security on threat modeling, audit logging, and compliance requirements including SOC 2 and FedRAMP.
Set the technical direction for identity at LaunchDarkly, and raise the bar for the engineers around you through design review and mentorship.
Qualifications:
6+ years of professional software-engineering experience, with significant work on complex backend applications.
Experience building or operating production authentication and identity systems.
A track record on systems where correctness and availability are non-negotiable, and the habits that come with it: backward-compatible change, staged rollouts, and safe cutovers.
Proficiency in at least one backend language (Go, Rust, Python, etc.) and familiarity with cloud infrastructure (AWS or equivalent), plus strong production ownership including on-call.
Bonus
Protocol depth in
SAML
,
OIDC
/OAuth2, or
SCIM
, and integration experience with Okta, Microsoft Entra ID, Google Workspace, OneLogin, or Ping.
MFA
/WebAuthn,
RBAC
and authorization policy engines, or audit logging at multi-tenant scale.
Engineering under compliance regimes such as SOC 2 or FedRAMP.
Pay:
Target pay ranges based on Geographic Zones* for Level 4:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
- $191,800 - $263,670**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago -
$172,600 - $237,270**
Zone 3:
All other US locations -
$163,000 - $224,070**
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @
launchdarkly.com
email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
RELOCATION TO GERMANY adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we’ve become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.
Architecting Intelligence to Optimize 200M+ Daily Decisions
As the intelligence core of our engineering organization, our Data Science team doesn’t just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren’t just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem.
Your Mission & Who We Are Looking For:
— Proven track record in production ML with 5+ years in Data Science and deployed models that moved real business metrics.
— Building models that predict LTV, conversion, and user behavior across 770 million users, impacting advertiser ROAS and publisher revenue.
— Deep learning as primary tool with strong hands-on experience in PyTorch or TensorFlow and production deployment handling 1M+ daily predictions.
— Full ML lifecycle ownership from data extraction using Trino, Spark, or AWS Athena, through model development, A/B validation, to production deployment.
— Experience with Airflow or model hosting is a strong plus.
— Fluent in Python and data at scale, comfortable with pandas/polars, numpy, scikit-learn, LightGBM, CatBoost, XGBoost, and advanced SQL skills.
— Ability to translate product requirements into ML logic and explain model behavior and impact to non-technical stakeholders.
— AdTech experience is a strong plus.
What’s in It for You?
— Relocation support to Hamburg, Germany for worldwide talent.
— Opportunity to build infrastructure behind impactful adtech platform reaching hundreds of millions of users and powering billions of decisions daily.
— Ownership of projects impacting 770M users and pushing adtech boundaries.
— Fast-paced environment with multiple daily solution deployments and learning from results.
— Collaborative culture with diverse global team from over 40 countries.
— Enjoy daily victories and energetic work environment.
Location: Remote - US
About the Job:
Feature management and experimentation have converged into a single market, and the buying dynamic at the top has shifted. Engineering teams are no longer the sole evaluator — data scientists and data-focused PMs now carry equal weight on the largest deals. The bar for statistical depth, warehouse ergonomics, and experiment-first workflows is rising quickly.
In traditional experimentation we have built the foundation: a trusted runtime control plane, a growing experimentation engine, and early warehouse-native capabilities. We are winning lower-maturity buyers at healthy rates. We are not yet consistently winning the most sophisticated data organizations. Closing that gap is the job.
In AI experimentation, we have an early lead: the AI-native tooling category has invested in evaluation and conceded production experimentation, and we already have the primitives (statistical significance, multi-armed bandits, experiment-aware guardrails) that no AI-native competitor ships. Extending that lead is the other half of the job.
This leader will own whether LaunchDarkly becomes the definitive experimentation platform in an AI-accelerated world.
Responsibilities:
Own the Experimentation pillar.
Direct leadership of the Product team. Partner with Engineering and Design counterparts in a triad model. Accountable for the pillar's strategy, roadmap delivery, and commercial outcomes. Make the investment case across the in-product experimentation experience, the warehouse-native analysis layer, and the infrastructure that scales them.
Make experimentation the measurement layer of the AI SDLC.
Partner with our AI product, observability, and core feature management leaders to productize the capabilities we already have as AI-native primitives. Build a closed loop from offline evaluation through production experiments, to automatic promotion and rollback, to a self-improving feedback loop for agents.
Win the high-maturity buyer.
Earn the technical confidence of senior data scientists and data-focused PMs. Decide what statistical depth, warehouse coverage, and experiment-first workflow capabilities are non-negotiable, and get them shipped on a timeline that wins pivotal reference deals.
Make warehouse-native a weapon.
Expand coverage across major data warehouses and query layers. Deliver parity on analysis-only mode, variance reduction, ratio and percentile metrics, exposure validation, and arbitrary-window analysis.
Operate a high-performing function.
Run a disciplined roadmap, ship predictably against quarterly commitments, drive AI-assisted engineering productivity inside the org, and hire where gaps exist.
Be the external face of the category.
Credibly represent the product with Data scientists, PMs, experimenters, analysts, and partners. Translate the strategy to the field and equip sales to win head-to-head.
How you'll be measured:
Win rate on experimentation-involved deals, especially head-to-head competitive evaluations — step change in the first year, sustained improvement thereafter.
Reference-grade customers at the top of the maturity curve, including named strategic logos.
Monthly active customers and active-account ARR growth against plan.
Experimentation attach rate on new and expansion enterprise deals.
Engineering throughput — roadmap delivery velocity and AI-assisted development adoption inside the function.
Qualifications:
Senior product leader (GM, VP, or equivalent) with a track record of owning a product line that competes on statistical rigor and data infrastructure.
Deep, operator-level fluency in experimentation methodology: causal inference, variance reduction, ratio metrics, sequential testing, exposure design, multi-armed bandits, and composite/multi-objective metrics — and the realities of running these at scale against production data warehouses and against non-deterministic systems where output variance, not just user variance, drives sample-size and significance decisions.
Has earned credibility with data science leaders and experimentation specialists at sophisticated organizations — and can recruit them.
Has led a function that includes engineering, design, and data science. Comfortable setting a multi-quarter roadmap, championing investment allocation, and reporting results to an executive team and board.
Clear, direct communicator. Decides fast with incomplete information. Prefers shipping and learning to requirements documents.
Opinionated about where experimentation is going in an AI-native world — and specifically, how agents and autonomous systems will use experimentation infrastructure differently than human teams do.
Preferred Qualifications:
You have built or scaled experimentation at an organization where it was core infrastructure, not a secondary analytics capability.
You have personally won competitive evaluations where a sophisticated data-science organization was the deciding voice.
You have shipped warehouse-native data products and understand the operational realities of running experiments directly against customer data infrastructure.
You see experimentation as how software teams prove that any change — whether built by a person or an AI agent — actually worked. That evidence layer is core infrastructure, not a reporting afterthought.
Pay:
Target pay ranges based on Geographic Zones* for Level M5:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
-
$
301,000 - $414,000
**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $
271,000 - $373,000
**
Zone 3:
All other US locations - $
256,000 - $352,000
**
All Zones inclusive of 20% Bonus
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from
@LaunchDarkly
.com email addresses or via LinkedIn from "Verified Recruiter" accounts.
Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: Tokyo, Japan
Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365.
To learn more, visit
www.mattermost.com
Mattermost is seeking a highly skilled and motivated
Technical Sales Engineer
to join us as we enter the Japanese market. This is a high impact, early-stage opportunity requiring a player coach mentality with significant room for ownership, autonomy, and professional growth. As the first technical hire in Japan and the Indo Pacific region, you will lead technical demonstrations and serve as a strategic partner to our sales team, directly shaping regional growth and ensuring customer success in high trust environments.
Mattermost is an open core technology company building secure collaboration solutions for organizations in high trust environments. We enable secure messaging and workflow automation across the world's most sensitive deployments, from air gapped defense systems to private clouds. In this role, you are the technical face of Mattermost in Japan, driving our expansion into one of our most critical growth regions.
What You'll Do
Lead all regional technical activities, including presales architecture, product demos, and deep dive technical evaluations
Architect and deploy solutions within complex on premise, air gapped, and private cloud environments, ensuring operational resilience for defense and national security customers
Collaborate with system integrators, VARs, and distributors to build a sustainable technical network and contribute to the regional partner go to market plan
Translate complex technical details into value propositions for audiences ranging from executive C suite (General Officers) to frontline operational personnel
Act as a bridge between Japanese customers and our global product and engineering teams, representing local requirements to help build world class, mission ready software
Support technical engagements for key accounts to ensure customers are achieving their specific mission outcomes and workflow automation goals
What We're Looking For
Senior level technical experience, specifically within the cybersecurity sector or high growth SaaS/technology companies
Proven experience serving defense, national security, or critical infrastructure customers
Strong knowledge of closed cloud environments, on premise deployments, and the technical and operational concepts utilized within secure sectors
Independent, creative problem solver capable of negotiating technical win win scenarios; experience in global startups is preferred
Native Japanese language skills and strong English proficiency (reading/writing)
Ability to travel based on business needs to support partner events, tradeshows, and customer sites (up to 50%)
Nice to Have
Active security clearance, highly desired due to the nature of our mission critical customer base
Awareness of GenAI and its applications in secure collaboration
Bachelor's degree in a technical field or equivalent work experience
How Success Is Measured
Quota attainment: consistent achievement of enterprise ACV and ARR targets.
Pipeline generation: self-sourced pipeline as a percentage of total pipeline created.
Deal quality: average deal size, sales cycle length, and win rate across enterprise accounts.
Executive engagement: multi-threaded relationships and documented executive alignment in target accounts.
Cross-functional feedback: positive collaboration scores from Sales Engineering, Customer Success, and Product partners.
Why Mattermost
Mission-driven work: Your deals directly support the organizations and missions that depend on secure, reliable collaboration — from the tactical edge to the enterprise.
AI-forward environment: We actively adopt and build AI-enabled workflows — you’ll have access to cutting-edge tooling to accelerate your productivity.
Open source at the core: Be part of a vibrant community shaping the future of secure collaboration.
High-growth opportunity: Strong momentum in the defense and enterprise markets, with meaningful equity upside as we scale toward our revenue goals.
Compensation
Mattermost takes a market-based approach to pay. Actual compensation may vary based on location, skills, experience, qualifications, and market conditions.
Mattermost is an EEO Employer, we are a remote-first, open-source company.
We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time.
Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics.
If you require accommodations during the interview process, please let us know—we’re happy to assist.
RELOCATION TO GERMANY adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we’ve become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.
Architecting Intelligence to Optimize 200M+ Daily Decisions
As the intelligence core of our engineering organization, our Data Science team doesn’t just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren’t just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem.
The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second.
As a Data Engineer on this team – you’ll be building and maintaining the infrastructure that makes them possible: the Feature Store, the data pipelines, the data quality systems, and the data architecture that data scientists depend on to move fast.
Your Mission & Who We Are Looking For:
Data engineering at ML scale. You have 5+ years in data engineering on a modern stack, with proven experience handling systems that process several TB of data per day and thousands of events per second. Flink is your default for real-time. You have hands-on experience with Apache Flink for stateful stream processing and real-time feature computation. You’ll translate Data Science requirements into high-performance streams, enable Data Scientists to contribute new features and implement features yourself when needed.
Pipeline bottlenecks don’t survive long around you. You know how to identify and eliminate inefficiencies in complex ETL jobs, whether handling high-volume batch processing or real-time streaming systems like Kafka. At adjoe, data velocity is critical: slow pipelines directly impact model freshness and prediction quality at sub-100ms inference.
You think in layers, not tables. You move beyond raw data to design robust, multi-layered data architectures using dbt, and can reason confidently about storage formats, Data Lakehouse models, and what belongs where in a 1PB+ data lake. Familiarity with Medallion Architecture is a strong plus.
The bridge between Data Science and Backend. You’ve worked closely with Data Scientists on online ML systems with low latency requirements, and understand what it takes to make experimental research production-ready. Strong Java required; Go or Python a plus.
Owns quality, not just delivery. You implement data validation, monitoring, and governance processes in production, because in a system where model inputs directly drive advertiser ROI, data integrity isn’t optional.
Experience with Airflow, Kubeflow, AWS, Terraform, and Kubernetes is a strong plus.
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
Go Big. Own projects with impact on 770M users and push adtech boundaries.
Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
Be Direct. Solve problems openly and collaborate across teams.
Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
Location: Remote
Who we are
Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase.
With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once.
Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love.
If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us.
Hours & location
🌎 While we hire
almost anywhere
in the world, we have a preference for someone to reside in the US for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with PST for at least 20 hours/week.
Preferred locations:
USA
Why this job is exciting
We are looking for a deeply technical, pragmatic Product Manager to help shape and deliver products for developers and the AI agents working alongside them.
This will initially be the primary Product Manager supporting a small, fast-moving engineering organization. Rather than being embedded within a single team, you will work across several engineering teams to identify priorities, organize customer and product feedback, define requirements, guide products through the experimental, beta, and general availability lifecycle, and enable our Marketing and Go-To-Market teams to bring it to the world .
You will spend significant time working directly with customers, engineering leaders, and developers to understand their needs and translate them into clear product decisions. You will need enough technical depth to discuss implementation tradeoffs, evaluate developer workflows, and represent the product when an engineer is not in the room. You will also need the ability to crisply communicate with non-developers, internal and external, about the value that Sourcegraph delivers.
This is an opportunity to have an outsized impact within a small organization operating much like a startup, while benefiting from Sourcegraph’s enterprise distribution and access to customers with some of the largest and most complex codebases in the world.
📅 Within one month, you will…
Ramp up on Sourcegraph’s products, customers, technical architecture, go-to-market pitch, and product strategy.
Build strong working relationships with engineering leaders and the teams you will support.
Join customer conversations and develop an understanding of their workflows, pain points, and priorities.
Review and begin organizing existing customer feedback, product ideas, and active experiments.
📅 Within three months, you will…
Establish a clear process for gathering, organizing, and prioritizing product feedback across teams.
Translate customer problems into clear product requirements, specifications, and success criteria.
Help teams make pragmatic prioritization decisions across customer requests, product investments, and technical work including market research and competitive analysis.
Support the product lifecycle of experimental and beta features, including customer discovery, iteration, launch planning, and measurement.
Provide greater clarity beyond engineering on what we are building, why it matters, and how we will determine whether it is successful.
📅 Within six months, you will…
Own product prioritization and planning across the engineering teams, and act as the glue between EPD, revenue, and marketing.
Guide key products from early experimentation through beta and general availability.
Develop a strong understanding of Sourcegraph’s customers and become a trusted representative of their needs.
Establish scalable systems for product discovery, feedback management, specification, launch, pricing and packaging, and iteration.
Help define the broader product strategy for how developers and AI agents make changes across large and complex codebases, and represent that vision in public.
Improve the organization’s ability to make focused, evidence-based product decisions without introducing unnecessary processes.
Represent Product and Engineering across the company, supporting sales enablement and product marketing functions.
About you
You are a deeply technical Product Manager who is comfortable operating across several teams and product areas at once. You can move between customer discovery, strategy, product specifications, prioritization, and launch execution based on what the organization needs most.
You are energized by startup environments where roles are broad, context changes quickly, and progress depends on people taking ownership beyond narrowly defined responsibilities. You do not need a large product organization, extensive research support, or a mature operating process to make effective decisions. You are comfortable creating structure where it is useful while avoiding process for its own sake.
You are pragmatic. You know that the best product decision is not always the most ambitious or technically sophisticated one. You consider customer value, engineering effort, product quality, strategic importance, and speed when helping teams determine what to build.
You have meaningful experience with software development, whether through a previous engineering role or sustained hands-on coding experience. You understand how developers work and can discuss technical constraints and tradeoffs credibly. You can explain and defend product decisions with customers, executives, and engineers, even when the engineering team is not present.
You are comfortable spending significant time with customers. You ask thoughtful questions, identify the underlying problems behind feature requests, and distinguish between an individual request and a broader market need. You can turn fragmented feedback into actionable insights and clear product direction.
You are also an excellent communicator. You tell the story behind why a product or initiative matters, creating alignment across engineering and the broader organization. You bring clarity to ambiguous problems without pretending to have certainty where it does not exist.
Because this role will work closely with leaders in Eastern Time and with customers primarily located in North America, you must have substantial working-hour overlap with the Eastern Time zone.
5+ years of experience working in product management, including experience within an early-stage company, startup, or similarly small and fast-moving organization.
Previous professional software engineering experience or substantial hands-on coding experience.
Experience building technical products for developers, engineering teams, or other highly technical users.
Experience working directly with customers throughout product discovery, development, beta testing, and launch.
Experience translating customer problems and technical concepts into clear product requirements and specifications.
Experience prioritizing work across multiple teams, stakeholders, and competing customer needs.
Ability to operate as the primary Product Manager across several engineering teams rather than within one narrowly defined product area.
Strong understanding of software development workflows, Git, source control, and modern developer tooling.
Excellent written and verbal communication skills, including the ability to communicate credibly with both engineers and customers.
Demonstrated ability to use qualitative feedback, product data, and strategic context to make pragmatic product decisions.
Ability to work effectively with significant Eastern Time zone overlap.
Nice-to-haves:
Experience building products involving AI agents, coding assistants, code generation, or large language models, and a strong stance on how AI will change the way software is being built.
Experience with developer tools, code search, code intelligence, compilers, IDEs, or large-scale code transformation.
Experience working with enterprise customers and complex software development organizations.
You enjoy writing code and are comfortable exploring or contributing to a production codebase.
Level
📊 This job is an IC4. You can read more about
our job leveling philosophy
in our Handbook.
Compensation
💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an
open and transparent
company, our
compensation philosophy
and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive.
Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone.
💰The starting salary for the IC4 pay band in each zone is:
Zone 1:
$230,450
Zone 2:
$184,360
📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous
perks & benefits
.
Interview process
Below is the interview process you can expect for this role (you can read more about
the types of interviews
in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!
We expect the interview process to take 5.25 hours in total.
👋 Introduction Stage
- we have initial conversations to get to know you better…
[30m]
Recruiter Screen
[45m]
Hiring Manager Screen
🧑💻 Team Interview Stage
- we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…
[60m]
Async writing project
[30m]
Review of proposal
[45m]
Product Manager overview of past projects
[45m]
Resume Deep Dive
🎉 Final Interview Stage
- we move you to our final round, where you gain a better understanding of our business and values holistically…
[30m]
Values
[30m]
Leadership
We check references and conduct your background check
Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.
Learn more about us
You can learn more about what it is like to work at Sourcegraph by reading
our handbook
.
We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our
culture
,
competitive compensation
and
benefits
here.
Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds.
Sourcegraph participates in
E-Verify
for U.S. Employees.
REMOTE OR RELOCATION TO 3 COUNTRIES
Nexters is an international game development company that strives to introduce the joy of core gaming experiences to casual players. In 2021 we went public and listed on the NASDAQ (GDEV). Nexters is part of the GDEV holding, which includes not only Nexters, but also Cubic Games, Royal Ark, Game Gears and Light Hour Games studios. Our people work worldwide from offices in Cyprus, Armenia, and Kazakhstan or remotely.
About your role
We are looking for a UI/UX Lead to join our art team of our flagship browser project, Hero Wars: Dominion Era. The project requires an experienced lead with expertise in both UI and UX (i.e., working with logic and design, proficiency in Figma, and UI rendering skills) to focus the UI team and work closely on interfaces in conjunction with GD, as well as to consolidate and standardize the style and rules for the UI facelift.
What you’ll be doing
Managing and mentoring the UX/UI team, developing their competencies
Determining and maintaining the quality of in-game interfaces
Creating a design document for the visuals of the updated UI
Describing the process of interaction between the UI and related departments, implementing the process
Maintaining documentation and writing guidelines
Developing a plan for the facelift of the existing interface, creating a task scope
Collaborating with related departments on the project
We hope that you have
At least one year of experience as a UX/UI team lead
Experience on a large-scale live game project
Strong UX/UI Skills: Experience in creating effective and user-friendly interfaces
Expert-Level UI Skills: Ability to create visually outstanding designs, as our goal is to be the best game in the genre
Proficiency in Photoshop and Figma
What we offer
Healthcare
Medical care program (including dental service) or medical care compensation are available for you wherever you wish to work. The basic medical care program is also available for your family members if you choose to work from our official locations – Cyprus, Armenia, and Kazakhstan.
Work, life, and balance
We offer a fair amount of paid vacation days and sick leave. You can work at one of our comfortable offices in official locations or from home.
Sports
You can choose various sports activities like yoga, football, and volleyball in our official locations.
Relocation support
A relocation package is available for you if you decide to join us in one of our official locations.
Skills improvement
Let's learn languages: you can visit online English language courses. Greek and Armenian language lessons are available for everyone who works in Cyprus or Armenia. Our company encourages people of Nexters to take part in game jams, hackathons, and relevant conferences and meetups as expert speakers.
Community & ESG
We are proud of our local communities and support employees’ social initiatives. Dream big, act big: Nexters contribute to gaming’s positive impact on the world, hold a sustainability strategy, and take part in charity projects all over the world.
Work format
In one of the company's offices in Armenia, Kazakhstan, Cyprus or remotely.
Location: Europe and Americas Time Zone (UTC -05:00 ~ UTC+3:00)
Workplace: Remote
✨ Where do we hire from? Find out more about hiring at TestGorilla https://docs.google.com/document/d/1bzBZ38P6zt02s96S9OsF8MnM1tq1JccB-g75gcnKpPw/edit?tab=t.0#heading=h.s4l5faueua5w
💡 This role requires deep Google Ads expertise. Please note that this is an absolute requirement. If Google Ads isn't your passion and honed skill, please don't apply!
Hi there, I'm Mehak, interim Head of Marketing at TestGorilla. We’re excited to share more about the Sr. Demand Generation Manager role and our team.
ABOUT TESTGORILLA
At TestGorilla, we’re on a mission to place 1 billion people in their dream jobs. To democratize opportunity, we are building the world’s leading skills-based talent discovery platform - one that replaces reliance on resumes with scientific validation of what people can truly do.
Founded as a 100% remote company in 2020, our global team is united by high standards, a lot of heart, and a relentless drive to conquer new technological frontiers. We are AI-fluent builders who care deeply about replacing bias with fairness.
After empowering thousands of companies to hire smarter and faster, we are now unlocking the next phase of our scale-up journey - where you’ll play an instrumental role in creating a world where skills matter most!
ABOUT THE ROLE
As our Sr. Demand Generation Manager, you'll be essential in achieving TestGorilla's vision of helping one billion people land their dream job. You'll own our largest acquisition lever, a multi-six-figure monthly Google Ads investment, along with the lifecycle, enrichment, and website systems that turn that spend into revenue. This isn't just a role, it's your chance to make a real difference by proving, with data, that every dollar of spend becomes pipeline. You'll directly contribute to sustainable, cost-efficient growth as TestGorilla scales.
RESPONSIBILITIES
In this role, your responsibilities will include but not limited to:
- Upholding TestGorilla's behaviors and fostering an inclusive, supportive culture.
- Owning the demand generation number across paid and organic channels, including managing and scaling paid spend across Google Ads (Search, Performance Max, Display, YouTube) and adjacent channels, while testing and developing emerging acquisition opportunities such as advertising on ChatGPT and other AI-native platforms. Setting the channel mix, budget allocation, and account structure required to hit MQL, SQO, and pipeline targets.
- Building and owning source-of-truth reporting across paid and organic funnel performance, including SQL, dashboards, attribution modeling, and incrementality testing, so channel investment decisions are backed by evidence rather than platform screenshots.
- Owning the roadmap for paid landing pages, ad creative, and offers, and running rapid A/B tests to lift conversion with proper statistical rigor.
- Designing and owning automated nurture workflows and enrichment infrastructure (n8n, Make, HubSpot, Clay) so paid-sourced leads convert, and feeding that data back into targeting and ICP decisions.
- Partnering with Sales and RevOps on lead quality and conversion by campaign, and presenting performance and recommendations to marketing and GTM leadership in clear, business-first language.
- Staying ahead of advertising platform, AI ecosystem, and privacy changes, and turning successful tests into repeatable, automated systems rather than one-off wins.
WHAT YOU’LL BRING
We're looking for someone who:
- Is passionate about TestGorilla's mission to help one billion people find their dream jobs.
- Has excellent written and verbal communication skills in English.
- Thrives in a fast-paced, async-first, remote-only environment.
- Has proven experience in performance or growth marketing, including hands-on ownership of a Google Ads budget of at least six figures per month (B2B SaaS strongly preferred), and a track record of scaling spend while holding or improving CAC and ROAS.
- We typically expect 7+ years of experience in performance or growth marketing to have developed the core skills necessary for this position. But it may be more or less than that, according to your career journey so far.
- Has deep expertise across the Google Ads stack, including Search, Performance Max, Display, YouTube, Smart Bidding, conversion tracking, and Google Tag Manager.
- Working knowledge and hands-on expertise of Clay, HubSpot (or a comparable CRM) and GA suite.
- Has a solid grasp of funnel and unit economics (CAC, LTV:CAC, ROAS, payback period, cohort analysis) and comfort with experimentation design, including significance, sample sizing, and reading results honestly.
- Has hands-on experience using AI/LLM tools (Claude, ChatGPT, or similar) to build real growth workflows, from lead scoring to automation logic, not just surface-level use.
- Has an ownership mentality: treats this budget like their own P&L, ships the workflow, dashboard, and test themselves, and is comfortable with ambiguity and fast iteration as pipeline needs shift.
We seek diversity and encourage applications from everyone. Studies show that women and underrepresented groups can be hesitant to apply unless they meet every requirement. If you're interested in this role but your experience doesn't perfectly match the description, please still apply.
BONUS SKILLS
While these skills aren’t a requirement, we’d be very interested to hear from you if you have:
- Experience managing an agency or freelancers alongside in-house execution.
- Exposure to PLG or hybrid PLG/sales-led GTM.
- Experience presenting to VP/C-level stakeholders on performance and budget.
- Experience owning SEO or content-led demand generation programs alongside paid channels.
- Has strong working SQL, fluency in GA4 and at least one BI tool
WHAT’S IN IT FOR YOU?
Please note: Some specifics, particularly around leave, may vary depending on your country of residence. This will be discussed during the hiring process.
- Global Team: Join a fully remote, mission-driven team from around the world
- Competitive compensation: Receive a competitive pay (€65,650-€84,500 per annum) + Share Appreciation Rights (SARs)
- Remote & flexible work: Work from almost anywhere*. Enjoy flexible hours and asynchronous work to balance work and life.
* Check out the countries we currently hire from here https://docs.google.com/document/d/1bzBZ38P6zt02s96S9OsF8MnM1tq1JccB-g75gcnKpPw/edit?usp=sharing
- Remote work budget: €1,000 available each year or up to €2,000 from day 1 if you're buying a laptop!
- Growth & development: Invest in yourself and your career with a 3.5% L&D budget per year and clear growth opportunities
- Parent/Caregiver support: We provide a caregiver-friendly work environment with paid 8-16 week parental leave and tailored return-to-work approaches
- Work-life balance: Our unlimited and flexible time off policy empowers you to take the time you need to recharge and maintain your well-being
INTERESTED?
At TestGorilla, we believe your skills speak louder than your resume. That's why we champion a skills-first approach, using cutting-edge, AI-powered assessments to uncover your true potential. Forget traditional biases; we're building the world's largest skills-tested talent pool, making hiring fairer, faster, and smarter for everyone!
When you apply, you'll get to experience our platform firsthand by taking an assessment – it's your chance to shine and show us what you can do! While our platform is powered by AI, every hiring decision is made by humans, ensuring a truly unbiased and thoughtful process. Check out our Applicant Privacy document https://docs.google.com/document/d/1-9ao3Njzsdjm_jzrExZzPRVGgBdW3C_GP3B900p6RwE/edit?usp=sharing to see how we protect your data.
We're passionate about building diverse teams where every voice is heard. We genuinely welcome applicants from all backgrounds and experiences.
Concerned about test anxiety? We've got you covered. Accommodations are readily available as part of the assessment setup, and requesting support will never impact your application.
Location: San Francisco Bay Area; Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
As a Staff Software Engineer in Networking, you will set the technical direction for the networking stack behind Docker's Sandboxes platform and make architectural decisions that ripple across Docker's product portfolio. Your work will directly enable Docker's expansion into AI and security products.
This role calls for someone who:
1. Combines deep technical expertise in infrastructure at scale, virtual networking, service mesh, orchestration, and integration across the broader infrastructure stack;
2. Communicates and collaborates well, thinks critically, and turns ideas into working systems
3. Adapts to ambiguity and brings clarity
4. Provides technical leadership to a small team of engineers, driving customer delight through the solutions they deliver
RESPONSIBILITIES
- Design, implement, and operate core networking services that power Docker's Sandboxes platform across local laptops and public cloud environments
- Build scalable networking infrastructure for microVM orchestration, workload scheduling, and lifecycle management
- Develop high-performance networking data- and control-plane components for multi-tenant agentic workloads
- Ensure network reliability, observability, and performance across Docker's Sandbox infrastructure
- Collaborate with product, platform, and security teams to deliver customer-focused capabilities
- Participate in architectural discussions, code reviews, and design documents
- Contribute to automation and CI/CD improvements across the deployment pipeline
- Debug and resolve production issues across distributed systems in local and public-cloud environments
- Take part in on-call rotation for your team; respond to incidents and drive continuous improvement of system reliability and availability
QUALIFICATIONS
- 8+ years of experience building and leading large-scale cloud or distributed systems, with a focus on networking foundations
- Track record of driving technical consensus and delivering high-quality infrastructure software at scale, on tight timelines
- Experience with microservices architecture, container networking, service mesh, policy enforcement, and container orchestration
- Experience with kernel and user-space networking technologies, including Linux networking, OVS/OVN, DPDK, and eBPF
- Experience designing and operating highly available, secure, and observable networking infrastructure
- Strong understanding of cloud infrastructure (AWS, Azure, GCP, OCI) and related scalability patterns
- Familiarity with CI/CD pipelines, monitoring, and infrastructure-as-code tooling
- Excellent problem-solving and debugging skills in distributed environments
- Strong communication skills and ability to collaborate across remote, cross-functional teams
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
WHAT TO EXPECT
FIRST 30 DAYS
- Onboard, integrate with our Sandbox infrastructure teams, and build context on Docker's Sandbox vision
- Deep-dive into Sandbox architecture for local and public-cloud infrastructure, with a focus on driving simple, common foundational primitives usable across both environments
- Identify the highest-leverage opportunities in the current architecture, along with strategic and tactical execution risks
FIRST 90 DAYS
- Develop a technical roadmap to address the challenges identified; drive consensus across stakeholders
- Provide technical leadership to a small team of engineers to deliver on the roadmap
- Establish or improve technical standards for development, deployment, operation, and observability of networking services
ONE-YEAR OUTLOOK
- Drive simplification of foundational networking infrastructure across local and public-cloud environments
- Establish repeatable engineering practices for quality, performance, and operational excellence
- Nurture the team's confidence and capability by providing clarity, sustaining focus, and delivering pragmatically through successive iteration
- Set a standard for what a small team of engineers can deliver and manage when given a charter, autonomy, and the tools they need
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $170,350 – $275,550 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: San Francisco Bay Area; Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
As a Principal Software Engineer in Networking, you will set the technical direction for the networking stack behind Docker's Sandboxes platform and make architectural decisions that ripple across Docker's product portfolio. Your work will directly enable Docker's expansion into AI and security products.
This role calls for someone who:
1. Combines deep technical expertise in infrastructure at scale, virtual networking, service mesh, orchestration, and integration across the broader infrastructure stack;
2. Communicates and collaborates well, thinks critically, and turns ideas into working systems
3. Adapts to ambiguity and brings clarity
4. Provides technical leadership to a small team of engineers, driving customer delight through the solutions they deliver
RESPONSIBILITIES
- Design, implement, and operate core networking services that power Docker's Sandboxes platform across local laptops and public cloud environments
- Build scalable networking infrastructure for microVM orchestration, workload scheduling, and lifecycle management
- Develop high-performance networking data- and control-plane components for multi-tenant agentic workloads
- Ensure network reliability, observability, and performance across Docker's Sandbox infrastructure
- Collaborate with product, platform, and security teams to deliver customer-focused capabilities
- Participate in architectural discussions, code reviews, and design documents
- Contribute to automation and CI/CD improvements across the deployment pipeline
- Debug and resolve production issues across distributed systems in local and public-cloud environments
- Take part in on-call rotation for your team; respond to incidents and drive continuous improvement of system reliability and availability
QUALIFICATIONS
- 10+ years of experience building and leading large-scale cloud or distributed systems, with a focus on networking foundations
- Track record of driving technical consensus and delivering high-quality infrastructure software at scale, on tight timelines
- Experience with microservices architecture, container networking, service mesh, policy enforcement, and container orchestration
- Experience with kernel and user-space networking technologies, including Linux networking, OVS/OVN, DPDK, and eBPF
- Experience designing and operating highly available, secure, and observable networking infrastructure
- Strong understanding of cloud infrastructure (AWS, Azure, GCP, OCI) and related scalability patterns
- Familiarity with CI/CD pipelines, monitoring, and infrastructure-as-code tooling
- Excellent problem-solving and debugging skills in distributed environments
- Strong communication skills and ability to collaborate across remote, cross-functional teams
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
WHAT TO EXPECT
FIRST 30 DAYS
- Onboard, integrate with our Sandbox infrastructure teams, and build context on Docker's Sandbox vision
- Deep-dive into Sandbox architecture for local and public-cloud infrastructure, with a focus on driving simple, common foundational primitives usable across both environments
- Identify the highest-leverage opportunities in the current architecture, along with strategic and tactical execution risks
FIRST 90 DAYS
- Develop a technical roadmap to address the challenges identified; drive consensus across stakeholders
- Provide technical leadership to a small team of engineers to deliver on the roadmap
- Establish or improve technical standards for development, deployment, operation, and observability of networking services
ONE-YEAR OUTLOOK
- Drive simplification of foundational networking infrastructure across local and public-cloud environments
- Establish repeatable engineering practices for quality, performance, and operational excellence
- Nurture the team's confidence and capability by providing clarity, sustaining focus, and delivering pragmatically through successive iteration
- Set a standard for what a small team of engineers can deliver and manage when given a charter, autonomy, and the tools they need
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $198K – $319K + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Tokyo, Japan
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes.
This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value.
You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams.
The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required.
WHAT YOU'LL ACHIEVE
- Partner with customers on forward deployed engagements from discovery through launch, translating business goals and workflow requirements into scalable clear solution design and Notion solutions that drive durable adoption.
- Design scalable Notion architectures that translate customer workflows, permission and governance needs, integrations and AI use cases into optimal workspaces that are easy to adopt, manage and scale.
- Design and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities and adjacent AI tools, partnering with Forward Deployed Engineering when advanced technical depth is needed for migrations, API constraints, security architecture or frontier implementation.
- Help customers navigate change by designing adoption plans, enablement materials and launch approaches that drive sustained usage and measurable business value.
- Identify repeatable patterns across customer engagements and convert them into packaged solutions, templates, reference architectures, run books, enablement assets and product feedback.
- Serve as a trusted advisor to customers, simplifying complex technical requirements, making practical tradeoff recommendations and helping stakeholders align around a clear implementation path.
- Partner cross-functionally with GTM, Product, Engineering, PMM, Services leadership and the partner ecosystem to scale what works beyond individual customer engagements.
- Create clear implementation plans, handoff materials and success measures that align customers and internal teams on the path to value.
SKILLS YOU'LL NEED TO BRING
- 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role.
- Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria.
- Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions.
- Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows.
- Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows and implementation tradeoffs. You do not need to write production code but you should be able to reason through technical constraints and troubleshoot effectively.
- Strong experience delivering implementations that drive adoption, change management and long-term customer value.
- Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness.
- Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences.
- Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward.
- Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments.
- Written and spoken Japanese fluency to communicate directly with external customers, partners, and internal teams
NICE TO HAVES
- Experience designing or deploying Agents, automations or AI-powered workflows with Customers.
- Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows.
- Experience developing discovery methodologies, reusable delivery assets, internal tooling, packaged services or reference architectures from the ground up.
- Experience partnering with Product and Engineering teams to turn field learnings into roadmap signal, reusable architecture patterns or scalable product improvements.
- Previous experience in a fast-paced, high-growth technology environment.
- Business level English proficiency to communicate effectively with global stakeholders and peers.
- Experience working with Japanese enterprise customers or familiarity with Japan market dynamics and business practices.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: 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
What you’ll do in the role:
Healthy and inclusive team builder
Create a high-performance culture across your region
by fostering collaboration, trust, and open communication within a diverse sales team.
Encourage healthy conflict resolution
and empower team members to learn from each other while maintaining mutual respect.
Strategic thinking that moves mountains
Develop and execute a regional sales strategy
(territory plans, pipeline development) that aligns with Honeycomb’s broader revenue and growth objectives.
Analyze market trends and customer insights
to inform forecasts, refine the approach, and accelerate decision-making to drive sustained growth.
Courageous communicator and motivator
Communicate vision and direction
clearly, ensuring your team understands evolving strategies, product updates, and priority changes.
Foster transparency and honesty
by regularly offering and soliciting direct, constructive feedback that keeps the team motivated and on track.
Develops self and others
Mentor and coach
a regional sales team (including Account Executives, potentially SDRs/BDRs) by setting individualized growth plans and skill-development goals.
Invest in your own learning
(market knowledge, leadership best practices) to elevate both your personal impact and the overall team’s capabilities.
Think like an owner
Manage the entire sales cycle
—from prospecting to negotiation to close—while keeping cross-functional success in mind (collaborating with Marketing, Solutions Engineering, and Customer Success).
Demonstrate budget and resource stewardship
by making data-driven decisions that support Honeycomb’s mission and yield strong ROI.
Align with company goals
Meet and exceed sales targets
by aligning regional initiatives with Honeycomb’s strategic imperatives.
Track metrics and performance
(pipeline coverage, forecast accuracy) to ensure progress toward both quarterly and annual revenue goals, reporting regularly to the CRO and other executives.
What you’ll bring to the role:
Extensive sales management experience
, ideally leading teams in high-growth SaaS or developer tools organizations.
Proven track record
of meeting or exceeding multimillion-dollar quota targets at the director level.
Experience with enterprise sales cycles
in a technical environment, including complex negotiations with multiple stakeholders.
Strong leadership and mentoring skills
, with demonstrated success in building and developing inclusive, high-achieving sales teams.
Strategic territory planning and forecasting capabilities
, with the ability to convert market data into actionable insights.
Exceptional communication, presentation, and relationship-building skills
—both internally and externally.
Adaptability and resilience
in a fast-evolving environment, with a willingness to learn new strategies, tools, and processes quickly.
Commitment to Honeycomb’s culture and manager principles
, emphasizing respect, transparency, ownership, and high standards.
On Target Earnings (OTE) based on level of experience (Base + Commission)
$375,000
—
$450,000 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.
REMOTE GLOBAL OR RELOCATION TO 3 SITES Nexters is an international game development company that strives to introduce the joy of core gaming experiences to casual players. In 2021 we went public and listed on the NASDAQ (GDEV). Nexters is part of the GDEV holding, which also includes Cubic Games, Royal Ark and Game Gears studios. Our people work worldwide from offices in Cyprus, Armenia, and Kazakhstan or remotely. We want brilliant professionals who love building great games in a team with one of the best cultures.
About your role
At Nexters, we create games that capture the hearts of millions of users worldwide. We are seeking an experienced and creative UI Artist to work on our flagship mobile project, Hero Wars Alliance. In this role, you won’t just be enhancing interfaces, you’ll be crafting a user experience that will stay with players for years to come. You’ll be an integral part of the Nexters team, actively involved in creating visually appealing and user-friendly interfaces that elevate the game to a new level. Working closely with game designers, you’ll have a significant impact on the overall gameplay experience, making it even more immersive and enjoyable.
What you’ll be doing
Design and produce high-quality game UI assets, including HUDs, menus, meta-game screens, pop-ups, icons, buttons, and in-game overlays.
Develop and maintain a cohesive UI visual style aligned with the game’s art direction, genre expectations, and target midcore audience.
Collaborate closely with UX designers and game designers to transform wireframes and gameplay requirements into clear, readable, and engaging interfaces.
Optimize UI visuals for multiple resolutions, aspect ratios, and device performance, especially on mobile platforms.
Identify and proactively resolve visual, technical, or usability issues related to UI during development and post-launch.
We hope that you have
Strong understanding of visual design principles: composition, color theory, typography, contrast, and visual hierarchy.
Ability to create clear, readable, and aesthetically consistent UI for complex game systems and long play sessions.
Experience designing UI for different game states: gameplay, meta, menus, pop-ups, tutorials, and live events.
Skill in creating icons, UI elements, and interface graphics that communicate functionality intuitively.
Understanding of genre conventions and player expectations in midcore games.
Basic understanding of UI implementation concepts: anchors, layouts, states, layers, and resolution scaling.
Proficiency in Photoshop and Figma
Autonomy and Proactiveness: We value artists who take initiative and propose ideas without waiting for instructions
Nice to have
Proficiency in Unity
What we offer
Healthcare
Medical care program (including dental service) or medical care compensation are available for you wherever you wish to work. The basic medical care program is also available for your family members if you choose to work from our official locations – Cyprus, Armenia, and Kazakhstan.
Work, life, and balance
We offer a fair amount of paid vacation days and sick leave. You can work at one of our comfortable offices in official locations or from home.
Sports
You can choose various sports activities like yoga, football, and volleyball in our official locations.
Relocation support
A relocation package is available for you if you decide to join us in one of our official locations.
Skills improvement
Let's learn languages: you can visit online English language courses. Greek and Armenian language lessons are available for everyone who works in Cyprus or Armenia. Our company encourages people of Nexters to take part in game jams, hackathons, and relevant conferences and meetups as expert speakers.
Community & ESG
We are proud of our local communities and support employees’ social initiatives. Dream big, act big: Nexters contribute to gaming’s positive impact on the world, hold a sustainability strategy, and take part in charity projects all over the world.
Work format
In one of the company's offices in Cyprus, Armenia and Kazakhstan or remotely.
About Hyperskill
An international EdTech company with a mission to boost global progress by empowering everyone with the skills of tomorrow. We offer computer science learning products across two formats — self-study and instructor-led bootcamps — serving learners internationally.
The Role
We're looking for a Business Lead — an entrepreneurial owner who will take full responsibility for the company: find and scale a working growth model, own the P&L, drive the product, and lead the team. You will own the business end-to-end: revenue, product, team, financial results, and run the company autonomously within the agreed strategy and budget.
What you'll do
Find and scale a working growth model. Test hypotheses across channels, monetization, and product; identify what drives revenue and scale it.
Own P&L and maintain self-sustainability. Revenue, costs, margin, unit economics.
Set and achieve growth targets. Revenue, acquisition and retention of paying learners.
Drive product and priorities. Roadmap, key bets, monetization experiments.
Build and develop the team. Manage the team day-to-day, set goals, drive performance, and hire as the company grows.
Requirements
Relevant experience — full responsibility for a business end-to-end (P&L, product, team, outcomes), ideally a small company or startup.
Strong financial literacy — P&L, unit economics, forecasting, margin, cost control.
Experience finding and scaling a growth model (growth and/or 0→1).
Data-driven decision-making.
Team management experience (small teams).
Expertise in the market Hyperskill operates in — education, technology, AI.
Fluent English for an international environment.
AI-native approach to daily work.
Strong Plus
Former startup founder / co-founder — you've been through the full cycle, learned from mistakes, and are ready to develop an existing project.
EdTech / educational products experience.
We Offer
Work from Anywhere. Full-time, 100% remote from anywhere in the world.
Flexible schedule with consideration for team syncs.
Global Contract. Contractor agreement with a US-registered legal entity.
High Upside Comp. Base salary in USD + revenue sharing and equity tied to revenue growth milestones.
Professional Trajectory. Full ownership of the Hyperskill business, scaling toward Partner / CEO as the company grows.
Location: Argentina Remote
Workplace: Remote
ABOUT THE TEAM
At Mural, we're changing how teams collaborate, think, and make decisions together. The Growth & Engagement team helps customers discover value through intuitive product experiences, rapid experimentation, and emerging AI capabilities that make collaboration more effective. We own key parts of the customer journey - from acquisition and onboarding to activation, engagement, retention, and monetization - and use data, experimentation, and customer insights to continuously improve those experiences.
We're a cross-functional team of engineers, product managers, designers, and data partners who move quickly, measure outcomes, and learn from every experiment. We value curiosity, collaboration, and thoughtful technical craftsmanship, building systems that enable rapid iteration while maintaining a high bar for quality, reliability, and scalability.
YOUR MISSION
As a Senior Software Engineer on the Growth & Engagement team, you'll build the products, platforms, and experimentation capabilities that help customers discover value faster and achieve more with our product. You'll partner closely with Product, Design, Data, and other Engineering teams to identify opportunities, validate ideas through experimentation, and deliver experiences that improve customer outcomes and drive sustainable business growth.
Beyond shipping features, you'll help shape the technical direction of the team, mentor other engineers, and establish engineering practices that enable us to experiment confidently and move quickly.
WHAT YOU'LL DO
- Design, build, and maintain customer-facing features that improve acquisition, activation, engagement, retention, and monetization.
- Collaborate closely with Product, Design, Data, Marketing, and Customer Success to identify growth opportunities and translate customer feedback, product analytics, and experimentation to guide product decisions.
- Design, implement, and analyze experiments using feature flags, A/B testing, and analytics to validate hypotheses and measure customer and business impact.
- Build reliable instrumentation and event pipelines that help teams understand customer behavior and make informed product decisions.
- Write high-quality, maintainable code while contributing to architecture, technical design, and long-term platform improvements.
- Improve the performance, reliability, accessibility, and scalability of critical user journeys.
- Mentor teammates through technical leadership, code reviews, design discussions, and knowledge sharing.
- Contribute to roadmap planning, technical strategy, and continuous improvement of the team's engineering practices.
WHAT YOU'LL BRING
- 5+ years of professional experience as a Software Engineer building and operating production software.
- Strong proficiency building modern web applications. Experience with TypeScript, React, Node.js, and MongoDB or similar technologies, with the ability to become productive quickly.
- Familiarity with Model Context Protocol (MCP) and the broader AI tooling ecosystem and the ability to quickly learn emerging AI technologies.
- Experience leveraging AI-assisted development tools and workflows to improve engineering productivity, code quality, and delivery.
- Experience building customer-facing products in close partnership with Product and Design teams.
- A product mindset with the ability to balance customer needs, technical tradeoffs, and business goals.
- Experience using analytics and data to inform engineering and product decisions.
- Strong software engineering fundamentals, including system design, testing, observability, and operational excellence.
- Excellent communication and collaboration skills, with the ability to influence technical decisions across cross-functional teams.
- A track record of taking ownership of ambiguous problems, driving projects from concept to delivery, and mentoring other engineers.
- Experience working on a Growth/Engagement team or in a product engineering role focused on experimentation and customer lifecycle improvements.
- Experience working with business metrics such as activation, engagement, retention, conversion, and monetization to inform product and engineering decisions.
- Experience designing, implementing, or analyzing product experiments (A/B testing, feature flagging, or similar experimentation frameworks).
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.
EQUAL OPPORTUNITY
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Role Description
The Risk Manager - Platform Risk reports to the Senior Manager of Risk Management and IT Compliance team within Tech Risk Operations (TRO). This is a first-line of defense risk team responsible for Central Tech business unit risks & Security risks across the company. The Risk Manager - Platform Risk is a people manager role, focused on leading a team of individuals to enable consistent identification of technology-related risks for key Central Tech business unit technology platforms. These technology platforms enable the business to build and run in-house developed applications that support the core of our Business. The Risk Manager - Platform Risk possesses both a strong technical understanding of DevOps IT technology and expertise in various risk domains. These domains include cybersecurity, IT, privacy, regulatory compliance, broader enterprise risks, Trust & Safety, cybersecurity regulatory compliance, and e-commerce fraud. This role involves identifying technology-related risks across core DevOps technology platforms, encompassing both public cloud and on-premise infrastructure. This includes (but is not limited to) public and private cloud platforms, like AWS, GCP, Azure, Kubernetes, Gitlab, CI/CD Tooling, etc. This role also requires embedding secure software development principles and tooling (SAST, DAST, SCA) into BAU development practices, to apply them effectively to DevOps technology platforms. The Risk Manager - Platform Risk is also a subject matter expert leveraging a deep understanding of the enterprise risk discipline combining deep knowledge of theory and organizational practice or expertise across several different disciplines within a function. Effective first-line risk professionals are adaptable individuals who can engage with diverse senior technical stakeholders (Senior Engineering Managers, Product Owners, developers, etc.) This necessitates strong communication skills, technical proficiency, an ability to foster collaboration, incorporate different viewpoints, and steer efforts toward positive business results in managing IT risks and ensuring IT regulatory compliance obligations are met. This position requires strong stakeholder management skills and requires an individual who can convince others who are skeptical or unwilling to accept new concepts, practices and approaches. This position involves extensive collaboration with senior technical stakeholders to ensure the consistent maintenance of existing IT controls across the organization. Success in this role requires exceptional stakeholder management skills, including the ability to build strong relationships, effectively communicate complex information, and persuasively influence individuals and teams, even when faced with resistance to necessary changes and the adoption of new security protocols. The ability to navigate organizational complexities and foster a culture of IT risk management, security awareness and compliance is critical. This role is also a people manager position and is fully responsible for managing a team of individuals and continuously improving the area under their scope. This manager will be responsible for leading and managing a team of internal and/or external resources (e.g. Risk Analysts, Risk Officers, consultants). They are comfortable leading a team to come up with robust, scalable and automated solutions that mitigate key risks while enabling successful business operations across multiple core platforms.
Key Responsibilities and Duties
— Attract, engage, develop, and retain talent to their full potential by fostering a supportive work environment that emphasizes continuous feedback, coaching, and mentorship programs, ensuring comprehensive growth for all crafts.
— Coaching your team on and consistently role model the Booking values on Think Customer First, Own It, Learn Forever, Succeed Together, and Do the Right Thing.
— Drive initiatives effectively involving multiple technical first-line senior stakeholders, re-prioritising tasks when beneficial.
— Formulate and implement tactical plans and objectives within Platform Risk Management that are in alignment with Central Tech business objectives and ensure the achievement of annual goals.
— Establish team priorities, delegate projects, allocate resources, and provide regular communication to management and business partners regarding business performance and project progress.
— Advise first-line stakeholders with specialized knowledge and expertise in IT risk, cybersecurity and regulatory compliance risk.
— Assume responsibility for the identification of technological risks and the formulation of control design proposals.
— Offer guidance on control design that is sustainable and appropriately scaled, ensuring that solutions are commensurate with the complexity of the issues addressed and avoiding unnecessary overengineering.
— Drive business engagement in the Central Tech business unit to provide risk and compliance awareness for teams that have a clear need to manage risks without significantly affecting their development velocity and/or play a key role towards achieving strategic objectives in the company.
— Develop and maintain IT and security policies and procedures for secure software development & collaborate with development teams to integrate secure software development practices and principles into CI/CD pipelines.
— Support senior stakeholders across central tech helping to promote and embed risk and compliance ownership across the business as well as to broaden and expand their knowledge base of both the internal and external risk environment.
— Follow broader ERM strategy defined by R&C and implement it into execution within the first-line of defense (business) and drive continuous improvement of risk assessment methodologies through ongoing collaboration with second-line risk and controls teams, ensuring alignment with practical business objectives.
— Support the team to identify ways to increase their business impact and improve the team’s product(s) and ways of working.
— Liaise with other risk and audit teams (Risk and Controls, Internal Audit, external auditors, etc.) to provide a more in-depth technical risk perspective, as needed.
— Stay current with emerging cyber threats and security best practices in DevOps environments.
Knowledge and Skills
— Strong risk and control or audit/assurance background with a deep understanding of operational and technology risk - L4
— Strong working experience with IT General Controls (ITGCs), especially in fast-paced DevOps environments
— Strong understanding of technology risk management, controls, and compliance, especially for public cloud platforms and DevOps Tooling - L4
— Experience and understanding of applicable regulations such as Sarbanes Oxley, PCI-DSS, GDPR and CCPA - L4
— Familiarity with industry-standard Cybersecurity regulatory frameworks such as NIST, ISO27001 and CIS - L3
— Understanding of cybersecurity risks and data protection principles - L3
— Technical AWS certifications (AWS Certified Solutions Architect, AWS Certified Security) are a plus
— Knowledge of secure software development practices and tooling (SAST, DAST, and SCA tools)
— Ability to cultivate solid relationships with business partners in order to drive the adoption of the risk management culture
— Thorough technical understanding of internal control requirements and design and experience in applying them in various businesses
— Able to split large tasks into logical, manageable and decoupled actions which are managed effectively and delivered on time
— Be flexible and agile in response to the change in business, change in stakeholder expectations and/or change in regulatory/operating environment of B.com
Level of Education: Bachelor/Master
Years of relevant Job Knowledge: Extensive Knowledge (8 - 12 years)
Benefits & Perks
— Headquarters located in one of the most dynamic and cosmopolitan cities in Europe: Amsterdam.
— Contribute to a high‑scale, sophisticated, world‑class product and see the real‑time impact of your work on millions of travelers worldwide.
— Be part of a truly international fast‑paced environment and performance‑driven culture.
— Full relocation support for you and your family to move to Amsterdam.
— We have fine‑tuned this process by successfully relocating hundreds of Technology professionals to Amsterdam in recent years.
— Performance‑based company that offers 29 vacation days, career advancement, and lucrative compensation, including bonuses and stock potential.
— Discount on Booking.com accommodations with the “Booking Deal” including other perks and benefits.
— Company‑sponsored family and social activities to help our employees become integrated with each other and Dutch culture.
— Diverse and creative colleagues from every corner of the world.
— Health, life, and disability insurance*.
— Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave.
— Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country).
— Industry‑leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit.
— Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership.
— On‑site meals, coffee, and snacks, including healthy and vegan options, daily*.
— Benefits may vary slightly depending on location and contract type.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity
We are seeking a
Marketing Analytics Director
to lead the evolution of our marketing data stack and raise the analytical rigor of the entire marketing organization. This is a critical role for a builder-practitioner who works at the intersection of Data Science, Marketing Strategy, GTM, and AI Operations. You won't just report on the funnel. You will build the systems that make every analyst on this team sharper, including the AI agents themselves.
As the
Marketing Analytics Director
, you will be the lead architect of our data-driven growth engine, connecting high-level strategy with advanced technical execution. You will move beyond traditional reporting to build a self-sustaining marketing ecosystem, leveraging Google BigQuery, Grafana, and agentic AI to create a unified source of truth and a culture of analytical rigor. Your mandate is to move the needle on demand generation across the entire marketing funnel, while raising the standard for how analytical work gets produced, challenged, and shipped across the org.
You will architect a dual-track target-setting framework that balances high-velocity top-of-funnel growth with deep-funnel quality, ensuring GTM resources are directed toward high-converting user cohorts optimized for Grafana adoption and long-term retention.
You will be expected to engineer the underlying data schemas, design predictive models, and implement the BI frameworks that shape our global GTM strategy. We are looking for a technical expert who can translate complex data into clear executive-level direction and who proactively builds systems that prevent AI-generated noise from drowning out actual signals.
What You'll Be Doing
Strategic GTM Partnership:
Serve as the primary strategic partner to the GTM Leadership team (VP of Demand Gen, VP of Regional and Events, Head of Marketing Ops, CMO, Revenue Operations, Sales leadership and more), translating complex data into a clear roadmap for demand generation and revenue growth.
Dual-Track Target Setting:
Architect and own a sophisticated forecasting framework that balances top-of-funnel volume with high-intent lead quality, optimized for Grafana Cloud conversion and retention.
Predictive Modeling and ROI:
Develop and maintain machine learning models (Attribution, MMM, LTV) to predict campaign impact and steer budget allocation toward the highest-ROI channels.
Data Warehouse Architecture:
Oversee the structure of marketing data within Google BigQuery, ensuring a scalable single source of truth that connects product usage data with marketing touchpoints.
Causal Inference and Inflection Hunting:
Move beyond descriptive analytics to perform causal inference and predictive trend analysis. When the data shows an anomaly, whether a 3-month spike, a regional dip, or a campaign that overperformed, isolate the window and dig in.
Executive Storytelling:
Transform technical data outputs into clear, compelling narratives for the executive team and board. Deliver a succinct read and go deep where pushed.
Utilizing AI and Automation
Agentic Insights:
Deploy LLM-powered agents (Claude Code, MCP-based tooling, or comparable) to monitor BigQuery datasets and automatically flag quality shifts in the funnel before they impact revenue.
Autonomous Workflows:
Implement orchestration patterns (N8N, custom MCP servers, or equivalent) to build self-healing data pipelines and automated responses to market signals, such as automated spend shifts based on conversion anomalies.
Predictive Quality Scoring:
Build and deploy AI-driven scoring models that separate high-value potential users from low-signal volume, helping Sales and Marketing prioritize effectively.
What Makes You a Great Fit
8+ years in Marketing Analytics, GTM Strategy, or Data Science, with at least 2 years in a lead architect capacity (IC track or player-coach; people management not required) within a high-growth SaaS or PLG environment.
Demonstrated history as a force multiplier. You can point to specific tooling, rituals, evaluator systems, or frameworks you built that made other analysts or the broader org measurably better. A portfolio of dashboards you personally produced is not sufficient.
Data Science and Engineering: Mastery of SQL and Python required. Deep experience architecting data environments in Google BigQuery, Snowflake, or similar warehouses.
Hands-on AI fluency as a builder, not a user. You have built and shipped agentic systems with Claude Code, MCP, or comparable tools. You understand where LLMs fail and how to design around those limitations. You have built evaluator agents, prompt-grading systems, or analytical quality tooling in production.
Automation Proficiency: Hands-on experience building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling.
Visualization and BI: Advanced proficiency in modern data stack visualization tools (Grafana, Looker, Tableau) to build executive-grade dashboards.
Strategic Acumen: Proven ability to create structure in highly ambiguous environments and build target-setting frameworks from scratch.
MarTech Ecosystem: Deep familiarity with connectivity between Salesforce, marketing automation, and product-led data streams.
Executive presence with experience presenting to executive and board audiences, including sound judgment about what data is and isn't ready to share up the chain.
Bonus Points For
Education: Bachelor's or Master's degree in a quantitative field (Data Science, CS, Statistics, Business Analytics). MBA or MS in Data Science is a significant plus.
In the US, the OTE compensation range for this role is $
178,503
- $
214,203.
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
УдалённоseniorRemote - US
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