Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THIS JOB
We're looking for a Head of Marketing Strategy & Operations to run the business side of marketing. Our marketing team went from two people to 25 this year, organized around four functions: product marketing, brand and consumer, enterprise, and growth. This is the first operations hire on that team. You'll own the marketing budget with Finance, run our planning cycle and operating cadence, keep hiring aligned with the plan, and partner directly with the CMO on how marketing sets priorities and tells its story to the executive team and the board.
It's a role for someone who has sat close to a CMO and a CFO, likes turning ambiguity into a plan people can execute, and is comfortable building the function themselves before building a team.
WHAT YOU'LL DO:
Budget & Financial Operations
- Own the marketing budget end to end with Finance: allocation across teams and channels, tracking against plan, forecasting, variance flags, and the tradeoff conversations that follow
- Build the layer of visibility leadership needs (spend by team, channel, and program) on top of the spend-tracking tools we already have, so decisions get made with numbers
- Run quarterly, half-year, and annual budget planning, and make marketing's case to Finance and the executive team
- Own marketing's vendor and agency contracts end to end: evaluations, procurement, renewals, and a clear view of what we pay for and why
Planning & Operating Cadence
- Own marketing's planning cycle: translate company goals into marketing objectives, OKRs, and resourced plans, and keep them current as priorities shift
- Bring a point of view. Pressure-test plans, frame the tradeoffs, and help the CMO decide where marketing places its bets
- Design the lightweight processes and internal tools (planning, intake, reporting) that let a 25-person team operate like a much bigger one
- Run the operating rhythm for the marketing leadership team: meetings, all-hands, team-wide readouts, agendas, decisions, and follow-through
- Keep the marketing functions connected so plans, launches, and budgets move together
Executive Partnership
- Partner directly with the CMO on board materials, executive readouts, and strategy documents. Own first drafts and make them data-backed and on-message
- Extend the CMO's reach across the team: surface risks early, chase decisions to closure, and keep priorities clear week to week
- Represent marketing in cross-functional planning with Finance, Sales, and Product
Hiring & Org Operations
- Partner with Talent Acquisition and marketing leads on headcount planning, requisition tracking, and interview process, and keep hiring plans aligned with budget and org design
- Standardize the basics across sub-teams (job descriptions, interview loops, scorecards) and help new leaders land well
WHAT WE'RE LOOKING FOR:
- 10+ years in marketing strategy and operations, business operations, strategic finance, management consulting, or a similar role supporting a CMO, GM, or business unit leader
- You've owned a sizable marketing or departmental budget end to end and can talk about spend, forecast, and variance the way Finance does
- You've built or run a planning cycle (annual or half-year, OKRs) and an operating cadence for a leadership team
- You've drafted board or executive materials for a senior leader and know the difference between a readout and a narrative
- Experience with headcount planning and hiring operations alongside a Talent team
- You've run vendor evaluations and procurement alongside Finance and kept a clean view of contracts and renewals
- Comfortable as an individual contributor. This is the first ops hire; you'll do the work before you have a team
- You scope light and move fast. We plan in weeks, not quarters, and you build just enough process to keep a fast team aligned
- You build trust quickly, from individual contributors to the C-suite
- Bonus: you're comfortable building your own tools with AI. We use Replit to run Replit
This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
ГибридheadСША; 💹 401(k) Program with a 4% match (US Only); 🚗 Commuter Benefits (In-Office & US Only); We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds
Location: Canada, Montreal, QC
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Position - Sr Game Designer (Progression & Economy)
Haven Studios is a game development studio headquartered in Montreal. In May 2021, we embarked on a journey to start Haven as a small team with big ambitions. Our goal was to build a studio of exceptional people where together we could make the kind of games we’ve always wanted to create – games we’ve longed to play. At Haven, we believe that kindness, adaptability and fearless optimism make space for creative excellence. We are a hybrid studio that supports flexibility, focus and collaboration for our teams.
Haven joined the PlayStation Studios family as the first Sony game development team in Canada in 2022. Our first game is in development for PlayStation and PC, a competitive multiplayer action heist game with a vision to entertain and engage players for years to come.
Position
- Sr Game Designer (Progression & Economy)
We are looking for an experienced Senior Game Designer with a highly structured, analytical mindset to own the progression systems, player lifecycle, and economic health of our upcoming live service title. In this role, you will design the frameworks that keep players engaged for years, translating high-level creative vision into mathematically sound, highly structured progression loops and economy systems. You will operate within a collaborative, multidisciplinary environment, ensuring that player investment, rewards, and monetization strategies feel cohesive, fair, and deeply engaging.
Reporting Line
The
Senior Game Designer
will report to the
Project Lead-Game Design
Role and Responsibilities
System Architecture:
Design, model, and maintain complex player progression frameworks, monetization loops, and virtual economies that support long-term player retention and engagement in a live service environment.
Structured System Design:
Translate abstract player experience goals into precise structural maps, detailed spreadsheets, data tables, and algorithmic logic models.
Balancing & Tuning:
Own the balancing, pacing, and tuning of player rewards, XP curves, drop rates, sink/source mechanics, and overall game economy to eliminate inflation or progression bottlenecks.
Live Service Integration:
Coherently integrate progression, monetization, and social layers within a multiplayer AAA ecosystem, aligning features across both PvE and PvP dimensions.
Cross-Functional Alignment:
Act as the primary point of contact for progression and economy systems, working closely with Directors, Producers, Data Analysts, and Engineers to ensure structural feasibility and data telemetry readiness.
Lifecycle Optimization:
Adapt and optimize systems post-launch based on player metrics, behavior patterns, and shifting market trends while maintaining structural balance with new content releases.
Required Experience and Skills
AAA Live Service Background:
Extensive experience in systems or progression design with at least one shipped AAA multiplayer live service title where you owned or significantly contributed to the game's economy or progression loops.
Structured Thinking:
A proven, highly methodical approach to design. You rely on strong mathematical logic, complex spreadsheets, and structural documentation over guesswork.
Economic Mastery:
Deep understanding of macro and micro-economy principles in modern gaming, including monetization strategies, virtual currencies, reward pacing, and incentive loops.
Engine Proficiency:
Strong ability to work directly within the Unreal Engine editor to hook up data structures, configure data tables, and test progression parameter changes locally.
Data-Informed Approach:
Strong competence in interpreting live telemetry, player cohorts, A/B testing data, and macroeconomic analytics to guide balance adjustments and systems optimization.
Clear Documentation:
Exceptional ability to distill complex, multi-layered economic dependencies into clear, highly readable system specifications for technical and non-technical stakeholders.
Assets
System Modeling Tools:
Experience using economy simulation software or advanced mathematical scripting (e.g., Python, Machinations, or specialized spreadsheet modeling) to stress-test systems before implementation.
Dual Discipline Background:
Prior design experience crossing into complementary fields such as Level Design, Business Intelligence, Data Analytics, or UX Design.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role
We are looking for an Email Marketing Manager to join our Demand Generation team and own our email channel end to end. Reporting directly to the VP of Demand Generation, you will build the programs that keep Garner in front of employers and the health insurance brokers who advise them, from first download to booked demo. You will work closely with our Demand Generation, Product Marketing, Marketing Operations, and Sales teams to turn a growing database into qualified pipeline.
What you will do
Own the email channel for our employer and broker audiences, from strategy through send.
Build and run nurture journeys in HubSpot, from first touch through re-engagement.
Build and manage the one-to-one sequences BDRs and sales send after marketing engagements.
Run the email calendar and newsletter, and support webinar and event promotion.
Write email copy that earns attention from benefits leaders and health insurance brokers.
Keep the database healthy through segmentation, suppression, and deliverability standards.
Test, measure, and report on email's contribution to pipeline, and scale what works.
What we're looking for
4+ years of B2B email or lifecycle marketing experience, owning programs end to end.
Proficiency building workflows, segments, and tests in HubSpot or a similar platform.
Strong writing skills, with B2B email samples you wrote yourself.
Comfort reading email and funnel data, from clicks and conversions to pipeline.
Working knowledge of deliverability, list hygiene, and email compliance.
Fluency applying AI to write, test, and scale email programs.
A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team's metrics.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target salary range for this position is $125,000 - $140,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: San Francisco
Perplexity is continuing to rapidly scale our Enterprise Engineering Organization and seeking Engineering Managers with deep expertise across the Enterprise domain to help lead the next wave of growth.
As an Enterprise Engineering Manager, you will combine technical judgment, product intuition, and people leadership to help large organizations adopt AI at scale. We are hiring across the enterprise control plane, enterprise data plane, and connector marketplace and activation. Depending on your area of focus, you will lead and grow a team in one of these areas, addressing challenges such as:
Enterprise Control Plane: Building the identity, security, and governance foundations that enable large organizations to deploy Perplexity confidently, including SSO, SCIM, role-based access, customer-managed encryption keys (BYOK), admin APIs, and enforceable policies governing access to data, models, and tools. Supporting regulated-industry requirements, including SOC 2, HIPAA, data governance, and residency, with audit logs and analytics that give administrators visibility into how Perplexity is used.
Enterprise Data Plane: Building the connector platform and semantic data layer that give Computer reliable, permission-aware access to enterprise systems and knowledge, including managed authorization, private-system access, and data freshness.
Connector Marketplace and Activation: Building discovery, recommendations, onboarding, and marketplace experiences that help customers find and adopt integrations, while working with partners to expand the connector ecosystem.
Across these areas, you will translate enterprise customer needs into scalable technical solutions across Perplexity’s products.
RESPONSIBILITIES
- Set technical direction for your team and guide architecture decisions across the enterprise platform.
- Build the foundational systems that enable large organizations to deploy Perplexity broadly and confidently.
- Shape roadmaps with product and design, applying strong technical judgment and product intuition.
- Set a high bar for reliability, code quality, testing, and maintenance. Lead incident response and ensure platform changes and connector migrations are rolled out safely.
- Partner with engineering teams across the company to ensure the platforms we build are extensible and easy to adopt.
- Represent engineering in strategic enterprise customer conversations, partnering with sales and customer success to understand requirements and remove barriers to adoption.
- Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates.
- Work with Perplexity’s co-founders to deliver enterprise engineering priorities.
QUALIFICATIONS
- Strong technical judgment and experience building enterprise platforms or products, with an understanding of the reliability, security, and usability requirements of enterprise customers.
- Domain expertise in at least one of the following areas:
- Enterprise control plane: identity and access management, SSO/SCIM, role-based access, key management, admin APIs, policy enforcement, audit logging, data governance, or compliance and residency requirements for regulated industries.
- Enterprise data plane: connector and integration platforms, including authentication, source-system permissions, data synchronization, and reliability at scale; or semantic data layers and knowledge platforms that make enterprise data accessible and useful to AI.
- Connector marketplace and activation: discovery and recommendation systems, integration onboarding, marketplace product UX, or technology partner ecosystems.
- Ability to deliver in a fast-moving environment while balancing customer needs, technical quality, and long-term maintainability.
- Detail-oriented and quality-focused - our customers run critical workflows on Perplexity, and our product needs to stay robust and reliable.
- Ability to translate enterprise customer needs into clear technical priorities and communicate tradeoffs effectively.
- Experience building and managing high-performing engineering teams, with a strong management practice grounded in clear feedback, effective 1:1s, career development, and recruiting and retaining high-caliber talent.
- Ability to lead parallel technical initiatives, align strong technical perspectives, and make clear prioritization and tradeoff decisions.
- Experience with AI/ML products, enterprise AI adoption, or scaling enterprise platforms at a startup is a plus.
- 8+ years of engineering experience, with at least 4 of those years as an engineering manager.
Location: San Francisco
Perplexity is continuing to rapidly scale our Enterprise Engineering Organization and seeking Engineering Managers with deep expertise across the Enterprise domain to help lead the next wave of growth.
As an Enterprise Engineering Manager, you will combine technical judgment, product intuition, and people leadership to help large organizations adopt AI at scale. We are hiring across the enterprise control plane, enterprise data plane, and connector marketplace and activation. Depending on your area of focus, you will lead and grow a team in one of these areas, addressing challenges such as:
Enterprise Control Plane: Building the identity, security, and governance foundations that enable large organizations to deploy Perplexity confidently, including SSO, SCIM, role-based access, customer-managed encryption keys (BYOK), admin APIs, and enforceable policies governing access to data, models, and tools. Supporting regulated-industry requirements, including SOC 2, HIPAA, data governance, and residency, with audit logs and analytics that give administrators visibility into how Perplexity is used.
Enterprise Data Plane: Building the connector platform and semantic data layer that give Computer reliable, permission-aware access to enterprise systems and knowledge, including managed authorization, private-system access, and data freshness.
Connector Marketplace and Activation: Building discovery, recommendations, onboarding, and marketplace experiences that help customers find and adopt integrations, while working with partners to expand the connector ecosystem.
Across these areas, you will translate enterprise customer needs into scalable technical solutions across Perplexity’s products.
RESPONSIBILITIES
- Set technical direction for your team and guide architecture decisions across the enterprise platform.
- Build the foundational systems that enable large organizations to deploy Perplexity broadly and confidently.
- Shape roadmaps with product and design, applying strong technical judgment and product intuition.
- Set a high bar for reliability, code quality, testing, and maintenance. Lead incident response and ensure platform changes and connector migrations are rolled out safely.
- Partner with engineering teams across the company to ensure the platforms we build are extensible and easy to adopt.
- Represent engineering in strategic enterprise customer conversations, partnering with sales and customer success to understand requirements and remove barriers to adoption.
- Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates.
- Work with Perplexity’s co-founders to deliver enterprise engineering priorities.
QUALIFICATIONS
- Strong technical judgment and experience building enterprise platforms or products, with an understanding of the reliability, security, and usability requirements of enterprise customers.
- Domain expertise in at least one of the following areas:
- Enterprise control plane: identity and access management, SSO/SCIM, role-based access, key management, admin APIs, policy enforcement, audit logging, data governance, or compliance and residency requirements for regulated industries.
- Enterprise data plane: connector and integration platforms, including authentication, source-system permissions, data synchronization, and reliability at scale; or semantic data layers and knowledge platforms that make enterprise data accessible and useful to AI.
- Connector marketplace and activation: discovery and recommendation systems, integration onboarding, marketplace product UX, or technology partner ecosystems.
- Ability to deliver in a fast-moving environment while balancing customer needs, technical quality, and long-term maintainability.
- Detail-oriented and quality-focused - our customers run critical workflows on Perplexity, and our product needs to stay robust and reliable.
- Ability to translate enterprise customer needs into clear technical priorities and communicate tradeoffs effectively.
- Experience building and managing high-performing engineering teams, with a strong management practice grounded in clear feedback, effective 1:1s, career development, and recruiting and retaining high-caliber talent.
- Ability to lead parallel technical initiatives, align strong technical perspectives, and make clear prioritization and tradeoff decisions.
- Experience with AI/ML products, enterprise AI adoption, or scaling enterprise platforms at a startup is a plus.
- 8+ years of engineering experience, with at least 4 of those years as an engineering manager.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. Our mission is to bring community, belonging, and empowerment to everyone in the world. Reddit users submit, vote, and comment on content, stories, and discussions about the topics they care about the most. From pets to parenting, with over 100,000 active communities and over 70 million daily active users, it is home to the most open and authentic conversations on the internet.
Team description:
Notifications is responsible for several of the company’s major product surface areas that drive a significant portion of Reddit’s user growth. You will work on building a real-time notifications platform (in-app, push, email, and potentially new channels) that can surface the right content to the right user at the right time in the right context. You will also be responsible for tackling difficult challenges around reach and addressability, off-platform conversion, new inventory development, and optimization of post-click experiences within a variety of operating systems and channels to build a delightful product for user engagement and retention. This role will partner closely with the Senior Group Product Manager on the team.
Responsibilities
:
Drive and execute product vision and strategy for Notifications Engagement, focused on improvements to the value proposition for users and their retention.
Maintain and communicate a prioritized roadmap to support Notifications and company strategic initiatives
Work closely with design, data, developers and product managers to understand problems, capture new ideas and manage a prioritized backlog of requirements
Participate in quarterly planning sessions to define initiatives, resolve dependencies and perform data-driven prioritization
Analyze feature/experiment results and communicate learnings to the team and the company.
Synthesize insights by analyzing data to help build more personalized and better product features.
Work closely with internal business, operations and partnerships teams in launching and maintaining features that impact Reddit’s growth.
Drive market and usability research to understand opportunities and develop strategy.
Required Experience:
5+ years of product management experience:
You have experience growing at-scale consumer products and understanding of growth via improved user experiences.
You have strong analytical skills, can build SQL queries from scratch and are able to solve complex problems by analyzing data, leading to data driven decisions.
You have proven experience developing long-term strategies and product roadmaps, setting OKRs, defining, running, and measuring experiments, and working collaboratively with peers from engineering, PM, data science, and other cross-functional teams.
You have a passion and drive for testing and learning at a fast pace.
You know how to define team goals and success metrics, and ensure that we are tracking towards improvements that align with Reddit's wider business objectives
You have exceptional independent problem-solving skills, attention to detail, flexibility, and ability to collaborate with others and to work in a fast-paced environment.
You are a compelling influencer with great communication and interpersonal skills, with the ability to align a diverse group of stakeholders towards a common goal.
Preferred Experience::
Experience with Consumer Growth and scaled experimentation
Experience working on high-traffic consumer experience and/or ML-adjacent products
UX / Mobile, Engineering and/or Data Science background
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$190,800
—
$267,100 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
EDB provides a data and AI platform enabling organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud.
The company supports over 1,500 customers globally, including government organizations, financial services, media, and IT companies, offering enterprise-grade open source technologies with high availability and mission-critical capabilities such as security, compliance controls, and observability.
The position is 100% remote. The role involves designing, implementing, and maintaining the EDB Postgres Distributed (PGD) product, a multi-master distributed PostgreSQL solution providing high availability, geographic distribution, and active-active replication for enterprise workloads.
Responsibilities:
— Design, develop, test, and document new PGD capabilities
— Maintain and improve performance and usability of existing PGD capabilities
— Analyze business requirements and translate them into executable tasks
— Provide world-class production support to PGD customers
— Participate in code reviews and collaborate with a globally distributed team
Requirements:
— 5+ years of software engineering experience
— Strong proficiency in C programming
— Experience with PostgreSQL internals (storage engine, WAL, replication, catalog system, or extension development)
— Understanding of distributed systems concepts including replication topologies, consensus, conflict resolution, eventual consistency, and failure modes
— Experience with multi-version/multi-branch codebases and active backporting workflows
— Familiarity with build systems and CI/CD practices
— Comfortable working with Git on large, long-lived codebases with complex branching
— Strong debugging and performance analysis skills
Advantages:
— Prior contributions to PostgreSQL or other open-source database projects
— Experience with logical replication, logical decoding, or custom replication solutions
— Knowledge of distributed consensus algorithms such as Raft
— Familiarity with PostgreSQL extension API and hook system
— Experience with high availability architectures and failover mechanisms
— Experience with Python and Rust
— Experience with major cloud providers: AWS, Azure, GCP
— Experience with Ansible, Docker, and Kubernetes
EDB supports employee well-being with benefits including access to health and wellness resources and Wellness Fridays through December 2026.
EDB is an equal opportunity employer committed to diversity, inclusion, trust, and respect.
EDB does not accept unsolicited resumes from recruitment agencies without a signed agreement.
Location: Singapore
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
We are looking for an excellent
C++ Software Engineer
to develop new and improve existing low latency trade execution systems for our Asia Equity Options business. As a member of the desk, you will be integral in the interaction between research and trading teams, you will have the opportunity to work with cutting-edge low latency technologies and will be surrounded by senior technologists providing you with the best possible environment to succeed.
How you will make an impact:
Have significant experience developing high-availability systems in C++ and Python with very tight resource/latency constraints
Experience interfacing with ultra low latency FPGA trading systems
Strong experience with working on highly distributed systems
Analyzing and discussing requirements from stakeholders
Facilitating discussions on code implementation, testing, software architecture best practices
Driving projects and leading new initiatives
Actively engaging with others on the development team to resolve challenging design and coding issues
Evaluating appropriate new technologies, tools, frameworks and software components for integration
What you bring to the team:
Strong understanding of C++, boost, STL
Knowledge of Python is a plus
A minimum of 4 years of experience in the trading industry
Prior experience working on options or derivative products
A background in multi-threaded programming and a strong understanding of hardware/software interaction
Are comfortable working “under the hood” and skilled in performance tuning (applications, Linux, socket I/O, etc.) and troubleshooting
Experience working with Research teams and Quants
Strong understanding of software engineering principles and best practices
Dedicated team player and a passionate problem solver with strong interpersonal skills
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
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Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
As a Senior RF Engineer on the WHOOP Hardware team, you will support the development, integration, validation, and delivery of the wireless systems that power WHOOP's wearable products. Working closely with Electrical, Firmware, Mechanical, Manufacturing, and Product teams, you will independently drive RF development and validation activities from early prototypes through production.
WHOOP products rely on highly integrated wireless systems operating within compact and challenging wearable form factors. You will bring strong hands-on RF test and debugging experience to characterize system performance, identify root causes of wireless issues, develop robust validation methodologies, and ensure designs meet performance, regulatory, and manufacturing requirements.
RESPONSIBILITIES
- Own RF system characterization, validation, and debugging from early prototypes through production.
- Define validation plans, test methods, and acceptance criteria for conducted, radiated, and system-level wireless performance.
- Characterize transmitter, receiver, antenna, coexistence, interference, desense, and OTA performance, including return loss, antenna efficiency, TRP/TIS, and on-body performance as applicable.
- Develop repeatable test setups, fixtures, scripts, and automated measurement methods to improve validation coverage, efficiency, and data quality.
- Analyze RF performance data, identify failure modes and root causes, and drive corrective actions with Electrical, Firmware, Mechanical, and Manufacturing teams.
- Guide RF-critical schematic and PCB design, including matching networks, grounding, shielding, routing, component selection, and antenna integration.
- Apply RF circuit, electromagnetic, and system analysis using tools such as CST, HFSS, MATLAB, Python, or similar tools.
- Establish production test methods, limits, and correlation studies while supporting manufacturing troubleshooting and wireless regulatory certification.
- Advance next-generation RF architectures, antenna technologies, validation methods, and manufacturing techniques while communicating technical risks and recommendations across engineering teams.
- Travel up to 15%, domestically and internationally.
QUALIFICATIONS
- BS or higher in Electrical Engineering or related field.
- 5+ years of relevant RF or wireless engineering experience.
- Demonstrated expertise in RF system characterization, validation, debugging, and root-cause analysis.
- Background in conducted and radiated wireless testing, including transmitter performance, receiver sensitivity, antenna performance, coexistence, and desense.
- Hands-on proficiency with RF lab equipment, including spectrum analyzers, signal generators, VNAs, oscilloscopes, wireless communication testers, and calibration tools.
- Familiarity with antenna and OTA measurements, including return loss, efficiency, radiation performance, TRP, and TIS.
- Strong command of RF and electrical engineering principles, including impedance matching, transmission lines, circuit design, PCB layout, grounding, shielding, and antenna integration.
- Working knowledge of RF test automation, data analysis, or electromagnetic simulation using tools such as Python, MATLAB, LabVIEW, CST, or HFSS.
- Excellent communication skills, with experience supporting product validation, manufacturing, and wireless regulatory certification.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibilityThe WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE TEAM
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
ABOUT THE ROLE
We're looking for a Product Manager to own key parts of LangSmith. Building AI products is changing the way software teams work; LangSmith is the observability, evals and deployment platform that makes shipping reliable AI systems possible.
WHAT YOU'LL DO
This role sits at the intersection of user experience and production infrastructure. You'll partner with engineers to build features that feel intuitive while solving deeply technical problems: versioning complex prompt chains, debugging multi-step agent failures, or designing evaluation systems that scale from 10 to 10,000 test cases.
You'll work directly with customers — from early-stage startups shipping their first agent to enterprises running mission-critical AI systems — to understand where the platform breaks down and what capabilities unlock new workflows.
- Own the roadmap for a core area of the LangSmith platform.
- Work with customers to understand their challenges and define new product features.
- Work with engineering to define scope, make technical tradeoffs, and ship high-impact features quickly.
- Help shape product strategy alongside our founders and leadership team.
WHAT YOU'LL BRING
- 3+ years of product management or engineering experience, ideally building developer tools, infrastructure products, or technical SaaS platforms.
- Deeply technical — you can hold your own in conversations about API design, system architecture, data pipelines, and debugging production issues.
- Bias toward action — you'd rather ship, learn, and iterate than build the perfect solution upfront.
- Strong written and verbal communicator who can align cross-functional teams around a shared vision.
NICE TO HAVE
- Computer Science, Engineering, or equivalent technical background.
- Previous experience at a high-growth startup or developer-focused company.
- Hands-on experience building with LLMs, agents, or AI applications.
- Annual salary range: $180,000-$240,000
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Porto, Portugal
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
We are seeking a Technical Project Manager (TPM) to support the delivery of enterprise software and integration projects for customers across the EMEA region.
This role is ideal for someone with a strong technical foundation who wants to develop their career in technical project management. Candidates may come from software development, engineering, technical consulting, implementation, or project delivery backgrounds.
The TPM will work directly with customers, developers, and internal teams to coordinate software delivery, manage project activities, and translate between technical and business stakeholders. Prior experience working with large enterprise systems is beneficial but is not required.
The ideal candidate has approximately 3–5 years of relevant professional experience, strong technical aptitude, and the ability to develop both customer-facing and project leadership skills.
This position is based in Porto, Portugal. Below are the responsibilities for the role:
Manage enterprise software projects across EMEA from discovery through deployment and post-launch support.
Work with customers to understand technical requirements, business objectives, timelines, and success criteria.
Coordinate activities between customers, developers, Product, and other internal stakeholders.
Manage project plans, timelines, deliverables, dependencies, risks, and action items.
Participate in technical discussions involving APIs, applications, cloud infrastructure, databases, and integrations.
Translate customer requirements and business needs into clear information for technical teams.
Coordinate testing, validation, release planning, and deployment activities.
Support troubleshooting and root-cause analysis for customer and system issues.
Identify project risks and escalate issues when additional technical or leadership support is required.
Provide clear and consistent project status communication to customers and internal leadership.
Develop knowledge of enterprise software delivery, customer systems, and integration practices.
Promote strong project documentation, communication, and cross-functional collaboration.
Requirements
3–5 years of relevant professional experience in software development, technical project delivery, engineering, implementation, technical consulting, or a related field.
Strong technical aptitude and understanding of software development concepts.
Ability to communicate effectively with software engineers and understand technical requirements and dependencies.
Familiarity with APIs, applications, databases, networking, cloud technologies, or similar software concepts.
Strong organizational skills and ability to manage priorities, timelines, and multiple workstreams.
Strong analytical and problem-solving skills.
Excellent interpersonal and communication skills with the ability to work directly with customers.
Desire to develop project management and customer leadership capabilities.
Fluent professional English.
Ability to work effectively with distributed teams and customers across the EMEA region.
Based in or able to work from Porto, Portugal.
The following are some nice to have requirements:
Experience integrating software with customer enterprise systems or systems of record.
Experience reading, writing, or exchanging data with ERP, WMS, CRM, MES, or other enterprise platforms.
Previous experience managing customer-facing software projects.
Experience with REST APIs and integration workflows.
Experience with Java, Kotlin, TypeScript, JavaScript, React, or Android.
Familiarity with Kubernetes, cloud-native environments, MySQL, MS SQL, or OpenAPI.
Previous software development or engineering experience.
Familiarity with wearable technologies, IoT integrations, frontline workforce applications, logistics, or manufacturing.
Experience working in Agile or Scrum environments.
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
Additional European language proficiency.
What we offer
Onsite Onboarding
in our HQ office for an optimal start
Great compensation and benefits packages
including company achievement bonus or sales bonus and regular salary reviews
Public transport friendly
offices
Special terms
for local gyms
Access to
Corporate Benefits platform
with many
discounts
Regular
Team events
and company-wide celebrations
Open door policy
, no dress code rules, frequent all Hands and Leadership Lunches
Hybrid
and
Flexible
work time
Work From Abroad Program
allowing up to 40 days of work outside your contracting country
We celebrate
diversity
as one of core values, join and drive one of the c-a-r-e initiatives together with us!
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: Paris
Workplace: Remote
ABOUT VOODOO
Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.
TEAM
Our Gaming team is made up of hybrid-casual, casual and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games.
You'll join the Portfolio Games Team (PGT) within Live: a small, tech-first and AI-first team that manages and grows a catalogue of 40+ live mobile games played by millions of users worldwide, with many more titles being onboarded. We own the full lifecycle, from game health monitoring and A/B testing to ASO, release management and live operations.
To do this at portfolio scale we are building Sophia, our in-house AI agent that already manages games, runs A/B tests and automates store work across dozens of games. Our goal is simple: take humans out of the repetitive loop so the team can focus on making the product better.
ROLE
We are looking for a freelance Technical Artist to bridge art and engineering in an AI-first studio. Our development side already moves fast with Sophia; art production is now the bottleneck. Your mission is to set up the conventions, tools and pipelines that let AI generate, check and integrate 2D and 3D assets across our portfolio with minimal human intervention. By Q1 2027 we want Sophia running full art and 3D flows end to end, and you will be key to getting there.
You will work day to day with our dev lead and the engineer who owns our AI/Figma/Unity art workflows, and with the art team.
- Define art conventions and standards (naming, structure, layout rules for UI, banners and store assets) so that assets can be produced and validated automatically, not hand-polished one by one
- Build tools and scripts in art software (Maya, plus Photoshop/Illustrator where useful) that check and fix assets automatically, e.g. validating that 3D meshes are watertight, within poly budgets and correctly set up, so an AI agent can run them as part of a pipeline
- Optimise 3D models and meshes (topology, polygon count, UVs, LODs) and textures (compression, sizes, atlases) for mobile, without sacrificing visual quality
- Own the Unity import pipeline: import settings, asset post-processors and automation so assets land in our games correctly and consistently
- Integrate AI generation tools (image, 3D, animation) into production workflows and evaluate new ones as they appear
- Help scale animated assets (e.g. animated store banners and promo visuals) across many games through templates and automation rather than manual work
- Debug and fix graphical and performance issues across mobile devices; support shaders, VFX and particles where needed
- Document everything so the pipelines keep running and improving after setup
PROFILE
- 5+ years as a Technical Artist, ideally in mobile games
- Hands-on experience using AI in art production (e.g. Scenario, Flux, 3D generation tools, ComfyUI or similar), and a mindset of automating rather than perfecting by hand
- Strong understanding of 3D models and meshes and how to optimise them; you don't need to be a 3D modeller, but you know what makes a mesh production-ready
- Strong Unity skills: asset import and optimisation, C# scripting for editor tools; Shader Graph/HLSL, VFX and particles are a plus
- Experience building tooling for art software, in particular Maya (Python and/or MEL)
- Solid grounding in Photoshop and Illustrator: the "art" in technical art matters to us
- Good understanding of mobile constraints (performance, memory, draw calls, batching)
- Autonomous, pragmatic and deadline-driven: you know when an asset is good enough and move on
- Fluent written and spoken English
NICE TO HAVE
- Python scripting outside art tools (pipelines, batch processing, APIs)
- Experience with AI coding tools (Claude Code, Cursor, Codex) and LLM-based agents
- Figma, and experience with UI/store assets for mobile games (ASO)
- Substance or similar texturing tools; GPU profiling
Location: Porto, Portugal
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
We are seeking an experienced Senior Technical Project Manager (TPM) to lead complex enterprise software and integration projects for customers across the EMEA region.
The Senior TPM will own projects from discovery through deployment, serving as the primary bridge between enterprise customers, engineering teams, product teams, and internal stakeholders. This role requires strong technical knowledge combined with proven experience integrating software with customer enterprise systems and systems of record.
The ideal candidate has 8–10+ years of relevant experience delivering technical software projects and is comfortable leading complex customer engagements involving APIs, enterprise integrations, cloud infrastructure, mobile applications, and distributed systems.
This position is based in Porto, Portugal. Below are the responsibilities for the role:
Lead complex enterprise software and integration projects across EMEA from discovery through deployment and post-launch support.
Serve as the primary technical and delivery liaison between enterprise customers, engineering teams, Product, and other internal stakeholders.
Collaborate with customers to understand business objectives, technical requirements, timelines, and success criteria.
Translate customer business and technical requirements into actionable project and integration plans.
Lead integrations with customer systems of record, including the exchange, reading, writing, and synchronization of business data.
Coordinate development involving APIs, backend services, mobile applications, cloud infrastructure, databases, and enterprise systems.
Manage project timelines, deliverables, dependencies, risks, priorities, and customer expectations across multiple concurrent initiatives.
Facilitate technical and architectural discussions between customer and internal engineering teams.
Lead testing, validation, release planning, and production readiness.
Drive structured troubleshooting and root-cause analysis for complex customer and integration issues.
Proactively identify project risks and drive mitigation and escalation plans.
Provide clear project status, risk, and technical communication to customers and internal leadership.
Mentor and support less experienced TPMs when appropriate.
Promote best practices in project delivery, technical documentation, and cross-functional collaboration.
Requirements
8–10+ years of relevant experience in technical project management, software delivery, software engineering, enterprise integrations, or related roles.
Strong technical background with the ability to work directly with software engineers and customer technical teams.
Proven experience integrating software with customer enterprise systems and systems of record.
Experience designing or delivering integrations that read, write, and exchange data with external customer systems.
Strong experience with REST APIs, integration workflows, authentication, and system-to-system communication.
Experience delivering complex enterprise software projects from requirements and discovery through production deployment.
Understanding of cloud environments, networking, databases, application architecture, and containerized applications.
Strong troubleshooting and root-cause analysis capabilities.
Strong enterprise customer-facing and stakeholder-management experience.
Proven ability to independently manage complex projects, risks, dependencies, and escalations.
Excellent communication, organizational, analytical, and problem-solving skills.
Fluent professional English.
Ability to work effectively with customers and distributed teams across the EMEA region.
Based in or able to work from Porto, Portugal.
The following are some nice to have requirements:
Experience with ERP, WMS, CRM, MES, or similar enterprise platforms.
Experience with platforms such as SAP or other business-critical enterprise systems.
Experience with Java, Kotlin, TypeScript, JavaScript, React, or Android.
Experience with Kubernetes and cloud-native environments.
Experience with MySQL, MS SQL, OpenAPI, and API lifecycle management.
Familiarity with wearable technologies, IoT integrations, frontline workforce applications, logistics, or manufacturing.
Experience with DevOps practices and Agile or Scrum-based development.
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
Additional European language proficiency.
What we offer
Onsite Onboarding
in our HQ office for an optimal start
Great compensation and benefits packages
including company achievement bonus or sales bonus and regular salary reviews
Public transport friendly
offices
Special terms
for local gyms
Access to
Corporate Benefits platform
with many
discounts
Regular
Team events
and company-wide celebrations
Open door policy
, no dress code rules, frequent all Hands and Leadership Lunches
Hybrid
and
Flexible
work time
Work From Abroad Program
allowing up to 40 days of work outside your contracting country
We celebrate
diversity
as one of core values, join and drive one of the c-a-r-e initiatives together with us!
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. Our Sandboxing team builds the isolation layer behind that work. The same systems run the code Claude writes for users, the environments we train and evaluate models in, and the agents our customers deploy.
These workloads are untrusted by design, and there are a lot of them. Sandboxes need to start in milliseconds, hold up under adversarial code, and scale to a very large number of concurrent sessions. You will work at the boundary between the Linux kernel, virtualization, and the container ecosystem. You will partner with research, product, and security teams to make sure that safe and fast do not trade off against each other.
Key responsibilities
Design, build, and operate the sandboxing infrastructure that runs untrusted, model-generated code and agent workloads at scale
Improve sandbox startup time, density, and throughput, including snapshot and restore, checkpointing, and warm pools
Strengthen isolation across compute, filesystem, and network, including egress controls and per-session credential handling
Investigate and fix performance, reliability, and security issues at the kernel, hypervisor, and container runtime level
Build the monitoring, tracing, and debugging tools that show where time and resources go inside a sandbox
Work with researchers to support reinforcement learning environments and evaluations that need fast, reproducible, isolated execution
Work with product and platform engineers to expose sandboxes as a dependable, well-designed capability for Claude products and customers
Partner with security teams to threat-model the platform and to test, harden, and respond to escape and abuse scenarios
Work with cloud providers on the hardware and platform features that our workloads depend on
Share knowledge on systems programming and Linux internals, and help set technical standards for the team
Minimum qualifications
Software engineering experience in Linux systems programming, kernel development, or another low-level area
Strong programming skills in at least one systems language such as Rust, C, C++, or Go
Working knowledge of virtualization or container isolation technologies such as KVM, QEMU, Firecracker, gVisor, or runc
Understanding of Linux resource management, including namespaces, cgroups, scheduling, and memory management
Experience profiling and debugging performance issues at the system level
Ability to work in unfamiliar codebases and technical areas, and to ship practical solutions with measurable results
Strong communication skills and a commitment to building safe, reliable systems
Preferred qualifications
Experience building or operating a multi-tenant sandbox, serverless, or code execution platform
Experience with microVMs, user-space kernels, or lightweight virtualization, including snapshot and restore
Experience with OS-level security hardening, including seccomp, LSMs, and threat modeling of untrusted code
Experience with eBPF and kernel tracing tools
Experience with Kubernetes and cloud infrastructure at scale (AWS, GCP)
Experience with network isolation, high-performance networking, or building egress proxies and policy layers
Experience with sandboxes for AI agents, computer use, or reinforcement learning environments
Experience with GPU virtualization, accelerators, or performance work on machine learning workloads
Prior experience as a technical lead or mentor
Representative projects
Cutting sandbox cold start from seconds to milliseconds with snapshot-based restore and pre-warmed pools
Designing a network egress policy layer so agents can reach approved services without exposing secrets
Running many thousands of parallel reinforcement learning environments with strong isolation between them
Building tracing tools that attribute latency and resource use inside a running sandbox
Reducing per-sandbox memory overhead to raise density on each host
Hardening the runtime against escape attempts found in internal red-team exercises
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote
Workplace: Remote
Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way.
ROLE SUMMARY
Gravie is seeking a Senior Platform Engineer to build and operate the platform our engineering teams ship on. AWS should be second nature: deep enough to reach for it before documentation, and you should be as comfortable working alongside AI agents as in a terminal.
The ideal candidate has genuinely operational AWS expertise, has worked in or closely with a platform team before, and knows a platform only succeeds when engineers choose it. They will own shared infrastructure, pipelines, and tooling end to end, partner with our architecture team on turning direction into paved paths teams actually adopt, and treat the engineers who use the platform as the customers they are.
At Gravie, engineers work closely with Product and own outcomes end to end, and we practice agentic development to increase the scope and leverage of that ownership: engineers use AI agents to help develop specs and plans, then to execute substantial multi-step engineering work, while setting guardrails and acceptance criteria and owning the quality of everything that ships. As agents take on more of the execution, the bar on problem framing, architectural judgment, system thinking, and risk identification gets higher, not lower.
HOW OUR PLATFORM TEAM WORKS
If you have worked on a platform team, this will be familiar. If you have not, read it carefully, because it is the job.
- The platform is a product and engineers are its users. Adoption is the measure of success, not tickets closed. If teams route around something we built, that is our problem to solve, not their failure to comply.
- Self-service over gatekeeping. If the answer to a common request is a ticket to us, that is a bug in the platform.
- We pave roads, we do not police them. Standards belong in pipelines, templates, and defaults, not in reminders and review comments.
- Small team, wide surface. Leverage matters more than heroics, which is why AI tooling and automation are not side projects here - they are how the surface stays covered.
- We operate what we ship. On-call for platform services is ours. So is the postmortem, and so is fixing the class of problem rather than the instance.
- Documentation is a deliverable. A capability nobody can find or adopt without asking us is not finished.
KEY RESPONSIBILITIES
- Build and operate the shared platform: CI/CD pipelines, service templates, deployment tooling, and the shared infrastructure services teams depend on.
- Own AWS infrastructure as code across multiple accounts, in Terraform, CDK, or both, held to the same standard as application code, including review, testing, and a real rollback story.
- Implement and sustain the paved paths teams build on, partnering with architecture on direction while owning the operational reality once a path is live.
- Operate what you build: on-call for platform services, incident response, the postmortem, and fixing the class of problem rather than the instance.
- Build observability in by default: metrics, logs, traces, SLOs, and alerts that page a human only when a human is actually needed.
- Own platform security posture alongside Security: identity and permission boundaries, secrets handling, network and data isolation, and remediation of findings in a HIPAA and SOC 2 environment.
- Make cloud spend attributable and defensible through tagging discipline, cost visibility, and removing waste before it compounds.
- Use AI agents as a normal part of daily workflow, and build them into the platform where they create leverage, including code review, alert triage, migrations, and repetitive remediation.
- Automate toil out of the platform, reducing the number of requests that require a person at all, and measure whether it worked.
- Treat documentation and developer onboarding as part of the deliverable, so teams can adopt platform capability without asking first.
- Drive adoption of platform capability and standards, including the unglamorous migration work needed to move existing services.
- Raise the engineering bar through code review and mentorship, and help other engineers get more out of AI tooling.
QUALIFICATIONS
- Five or more years of software or infrastructure engineering experience, including ownership of production systems that you also operated.
- AWS to a depth that is genuinely second nature - reasoning about IAM policy evaluation, VPC routing and DNS, and container or serverless runtime behavior without reaching for documentation first, and having been the person who diagnosed it under real pressure.
- Hands-on ownership of a multi-account AWS environment, including identity boundaries, networking, managed data services, and cost and tagging governance.
- Infrastructure as code as your default rather than your fallback, in Terraform, CDK, or both, including how you review it, test it, and reason about blast radius before applying it.
- Strong CI/CD engineering, including shared or templated pipelines consumed by more than one team.
- Experience working in or closely with a platform, infrastructure, or developer experience team, and a clear point of view on what makes a platform get adopted rather than merely tolerated.
- Real comfort with AI tooling in daily engineering work - using coding agents such as Claude Code to do meaningful multi-step work, able to describe where they fail and how you catch it, and keeping ownership of what ships.
- Production operations experience: on-call, incident response, postmortems, and SLO thinking.
- Strong programming ability in at least one language such as Python, Go, TypeScript, or a JVM language, enough to build tooling rather than only configure it.
- Sound judgment on security, secrets, access control, and data handling, ideally in a regulated or audited environment.
- Clear written communication - on a platform team, documentation and a well-argued change proposal are load-bearing, not overhead.
PREFERRED QUALIFICATIONS
- Healthcare or another regulated domain, including HIPAA and SOC 2 obligations.
- Previous experience in a venture-backed high growth company.
- GitLab CI at scale, including templated pipelines with typed inputs consumed across many repositories.
- Datadog in depth: monitors, dashboards, SLOs, and keeping observability cost under control.
- Container orchestration at production scale, such as ECS or Kubernetes.
- Building AI tooling rather than only using it, such as MCP servers, Claude Code plugins or skills, or agent harnesses.
- Dependency and currency automation, such as Renovate, and the lifecycle policy around it.
- Delivery metrics work, including DORA, and the definitional arguments that come with it.
- Familiarity with Team Topologies vocabulary and where platform teams fit alongside stream-aligned and enabling teams.
- Experience decommissioning a platform capability, not only launching one.
A LITTLE MORE ABOUT US:
- We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space.
- We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized.
- Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average.
- Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve.
BENEFITS
Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave.
JOB APPLICANTS
If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.
Location: Remote
Workplace: Remote
Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way.
ROLE SUMMARY
Gravie is seeking a hands-on Staff Platform Engineer to do three things at once: build the golden roads and paved paths our engineering teams build on, define the north star architecture the organization moves toward, and design and deliver our AI-enabled capabilities. This is the hub role for technical direction at Gravie: long-term architectural direction and the standards that carry it converge here and radiate outward across teams.
The ideal candidate combines deep distributed systems and AWS experience with real production generative AI experience, and is equally credible building a paved path teams voluntarily adopt and setting a target-state architecture the whole organization will inherit. They have established standards, reference implementations, and paved roads that engineers actually use, not just architecture documents. They will partner across Engineering, Product, Data, Security, and Infrastructure, and will work most closely with our Platform Engineering team, which is the primary vehicle for making change stick across the organization.
At Gravie, engineers work closely with Product and own outcomes end to end, and we practice agentic development to increase the scope and leverage of that ownership: engineers use AI agents to help develop specs and plans, then to execute substantial multi-step engineering work, while setting guardrails and acceptance criteria and owning the quality of everything that ships. As agents take on more of the execution, the bar on problem framing, architectural judgment, system thinking, and risk identification gets higher, not lower.
This is a deliberately split role: roughly 40% golden roads and paved paths (hands-on, reference implementations, shared libraries, service templates, scaffolding, pipelines - a path isn't paved until a team other than yours has shipped on it), 30% north star architecture (published decisions that get adopted and enforced by tooling, not just written down), and 30% AI solutions (agent systems, retrieval and context design, evaluation, and guardrails). The mix shifts by quarter. Being the hub does not mean being the bottleneck - a good year looks like teams making more decisions on their own because direction and the paved path are clear enough to follow without asking. The role is planned and reviewed on this split, not funded out of leftover capacity; part of the job is saying out loud when the split is breaking toward a support desk.
KEY RESPONSIBILITIES
- Build the paved paths teams build on, including reference implementations, shared libraries, service templates, scaffolding, and pipeline templates, so the recommended way is also the easiest way.
- Treat the paved road as a product with real users: measure adoption and time to first success, and fix the parts people route around.
- Do the first real implementation yourself, on a real workload with a real team, not in a demo repository.
- Build the distributed systems patterns the paths encode: backend services, event-driven workers, job pipelines, APIs, and relational data models.
- Partner with the Platform Engineering team as the primary delivery vehicle - build paved paths with them, plan into their roadmap, and hand off sustaining ownership of what becomes shared infrastructure.
- Own migration and adoption, including moving existing services onto the path and retiring what it replaces.
- Stay in code review across teams and close to production incidents as primary evidence of where the path is failing.
- Define and publish the target-state architecture, with clear owners and decision dates, and keep it current as the business changes.
- Own the AWS foundations product and AI workloads depend on: multi-account structure and identity boundaries, network and data isolation, compute and serverless runtimes, managed data services, and tagging and cost governance.
- Drive standards adoption to completion - from documents into pipelines, with adoption measured across repositories and teams.
- Lead buy, build, and reuse decisions, evaluating models, frameworks, and vendors on accuracy, latency, reliability, privacy, security, and cost evidence.
- Reduce surface area as deliberately as you add it - consolidate overlapping tools and standards and own the sunset path for what gets replaced.
- Design and build production-grade AI agent systems, including multi-agent workflows, orchestration layers, and supporting services.
- Design retrieval, context, and memory systems that ground AI outputs, including how sensitive data is scoped, redacted, and audited.
- Develop AI-powered decision-support systems meeting the accuracy, traceability, and explainability requirements of healthcare and other regulated environments.
- Build product-quality user experiences using React and TypeScript where AI capability has to become understandable and actionable.
- Establish patterns for AI quality assurance - automated evaluations, regression testing, groundedness checks, and compliance guardrails - so those requirements are met by default.
- Establish one standard way to build, run, evaluate, and operate AI systems.
- Act as the connective point across teams: surface duplicated effort, pick up decisions with no owner, and align teams heading toward the same problem.
- Drive cross-team communication - writing, demos, and working sessions - so direction and tradeoffs are understood by teams not in the room.
- Build alignment where incentives differ across teams, and surface disagreement rather than resolving it quietly.
- Contribute to roadmap and capacity planning so paved path, foundational, and AI work is sequenced alongside product commitments.
- Work through the Platform Engineering team to effect change at organization scale rather than standing up competing surfaces.
- Facilitate collaboration between engineering teams, Product, Data, Security, and Infrastructure, including running forums where cross-cutting work gets planned and unblocked.
- Represent technical direction to leadership and carry business context back to engineering.
- Partner with Product to shape the roadmap and translate ambiguous business problems into architecture.
- Raise the engineering bar through design review, mentorship, and a working decision-record practice, and make architectural context available to both engineers and agents.
- Partner with Security, Compliance, and Data on AI governance, access control, and data handling, designed in rather than retrofitted.
QUALIFICATIONS
- Eight or more years of software engineering experience, including time with architecture scope and an organization-wide remit, and ownership of complex systems from design through production.
- Still shipping: writes and reviews code today, can open a meaningful merge request in an unfamiliar codebase within the first weeks.
- Experience building internal platform capability that other teams voluntarily adopted - can name the paved path or golden road built, how many teams moved onto it, and what they routed around.
- Hands-on experience building and operating production AI applications, not only prototypes, including evaluation, monitoring, failure handling, guardrails, latency, and cost control.
- Deep AWS expertise across a multi-account organization: identity and permission boundaries, networking, compute and serverless runtimes, managed data services, managed model services, and cost and tagging governance. Infrastructure as code in Terraform, CDK, or both.
- A track record of establishing architectural foundations where little existed - specific standards introduced, how they were adopted by teams that did not report to the candidate, and which failed and why.
- Hands-on experience with agentic software development - using AI coding agents to create specs and plans, execute meaningful multi-step work, run and fix tests, validate results, and iterate while owning architecture, quality, and what ships.
- Deep expertise in at least one primary area (Python or JVM backend and distributed systems, or React and TypeScript product engineering), plus ability to work across the full system.
- Experience with retrieval, embeddings, context, memory, evaluation, monitoring, or AI agent architectures and workflows.
- Strong judgment in testing, monitoring, failure handling, privacy, security, access control, and data governance, carried into a regulated or audited environment.
- Experience working with or inside a platform or infrastructure team as the delivery vehicle for organization-wide change, including how ownership was divided and how a parallel platform was avoided.
- Experience serving as a central technical point across multiple teams, with evidence of making those teams faster rather than becoming their approval gate.
- Demonstrated ability to create alignment across disagreeing teams, and to contribute to roadmap and capacity planning so foundational work is actually scheduled.
- Clear written communication and effective collaboration across technical and non-technical teams; influence without authority is the primary tool of this role.
PREFERRED QUALIFICATIONS
- Healthcare, health insurance, or benefits administration, including ICHRA, claims, eligibility and enrollment, or interoperability standards such as EDI and FHIR.
- Previous experience in a venture-backed high growth company.
- Internal developer platform or developer experience work, including golden path or paved road programs and adoption measurement.
- Experience with GitLab CI at scale, including shared and templated pipelines.
- Production observability and LLM observability practice, including Datadog.
- Event-driven and streaming architecture, such as Kafka or Flink.
- Practical experience with agent tooling and standards such as Claude Code, the Model Context Protocol, and agent SDKs.
- Experience defining an AI governance or technology radar process alongside a security or compliance partner.
A LITTLE MORE ABOUT US:
- We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space.
- We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized.
- Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average.
- Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve.
BENEFITS
Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave.
JOB APPLICANTS
If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.
Location: Paris
Workplace: OnSite
ABOUT VOODOO
Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. Our portfolio includes games such as Mob Control and Block Jam, studios such as BeachBum, and apps including BeReal and Wizz.
This role is full time, on a permanent contract, based in our Paris office.
TEAM
Cortex is a small studio inside Voodoo building puzzle games designed as the opposite of brain rot: hard puzzles, effortless interfaces, games that leave players feeling good and a little proud of themselves. Our first product, The Almanac https://apps.apple.com/fr/app/the-almanac/id6742649363, has already reached around $1M in annual recurring revenue. Our goal: three Cortex puzzle games in the top global charts by the end of 2027.
You would be our first marketing hire, working side by side with the studio director every day.
ROLE
As Marketing Artist, you will own the creative marketing of Cortex's games, from paid user acquisition to organic social media. You will work directly with the studio director and alongside Voodoo's Growth teams. This is a founding role, with direct ownership and a major influence on how our games reach their players.
- Create mobile video ads for our games and iterate on what performs
- Build and run the social media presence of our games
- Become a creative expert in mobile puzzle games: benchmark our competitors and experiment with new ideas
- Develop a deep understanding of how your creations perform and why
- Work closely with product on the games we choose and build
- Contribute to transversal initiatives (e.g., testing new AI tools)
PROFILE
- 1 to 3 years of experience creating content that performs
- Proven experience growing an audience on social media, with the analytics to show it
- Fully proficient with video editing, motion design and content creation
- Hands-on experience with AI creative tools (Scenario, Seedance, Kling, Veo, Runway, etc.)
- Strong visual taste
- Creative, with a hacker mindset
- Understand how your creations drive marketing performance
- Familiar with the mobile gaming market, ideally puzzle games
- Fluent in English, both oral and written. French is a plus
NICE TO HAVE
- Unity, Blender or another 3D tool
- Experience with paid UA creatives on AppLovin, Meta or TikTok
BENEFITS:
- Competitive salary
- Premium healthcare (SideCare) for you and your family 100% borne by Voodoo
- Swile Lunch voucher
- Gymlib (100% borne by Voodoo)
- Wellness activities in our Paris office
- Flexible vacation policy
- Remote days
- Child daycare facilities (Les Petits Chaperons rouges)
Задачи:
— Проектирование, разработка, внедрение технологических сервисов на Java
— Покрытие своего кода интеграционными, end-to-end тестами, а также self testing своих фич
— Проектирование функциональной и логической архитектуры системы, логики взаимодействия между подсистемами
— Проведение код ревью коллег
— Декомпозиция задач, оценка сроков
Требования:
— Проживание в Санкт-Петербурге
— Высшее образование в области информационных технологий
— От 4 лет опыта коммерческой разработки на Java c использованием Spring
— Знание паттернов микросервисной архитектуры
— Знание принципов ООП
— Знание и практический опыт работы с БД (PostgreSQL, Casandra/MongoDB)
— Опыт разработки интеграционных решений (REST API, Kafka)
— Опыт работы с библиотеками и фреймворками для тестирования
— Понимание принципов работы Docker, Kubernetes/Openshift
Будет плюсом:
— Навыки работы с генеративными AI-моделями
— Знание решений на базе платформы Авандок
— Опыт с проектами ЭДО
УдалённоseniorПроживание в Санкт-Петербурге
seniorCanada, Montreal, QC
New York City, New York
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