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
Anthropic trains and serves Claude across multiple cloud providers and accelerator platforms. The Platform Portability team owns the abstractions, tooling, and deployment infrastructure that make this possible without every engineering and research team needing to become experts in different clouds.
As an engineer on Platform Portability, you'll design and build the systems that let us bring up new capacity, ship our platform to cloud provider platforms & marketplaces, and move workloads between providers with confidence. You'll work closely with our cloud partners on capabilities we need that don't exist yet, and with internal Compute, Inference, and Security teams to make "which cloud is this running on?" a question most engineers at Anthropic never have to ask. Your work directly determines how quickly and reliably we can put safe, frontier AI in front of users — wherever they are.
What you'll do
Our work splits into two workstreams, and we need your help across both.
Portable infrastructure.
We build the provider-agnostic abstractions for storage, messaging, and connectivity that let Anthropic's systems run on any cloud, and they have to hold up at the scale of frontier model inference. You'll design and build those abstractions, plus the tooling that lets internal teams provision, configure, and operate services across clouds through one consistent interface. You'll also hunt down the provider-specific assumptions hiding in our codebase and set the patterns that keep new ones from creeping in.
Claude on partner clouds.
We ship Claude onto third-party cloud platforms, and every launch has to be repeatable. You'll own that delivery end to end, including the build, release, and validation pipelines behind it. You'll work directly with engineering teams at our cloud partners and internal infrastructure stakeholders to land the features we need, debug platform issues, and influence their roadmaps. Expect to go deep on native integrations with each provider, and to do the cross-cutting work that keeps our platform consistent across all of them.
Across both, you'll shape how the rest of Anthropic builds for multiple clouds. You'll review designs with cloud-portability implications, mentor engineers across the org on multi-cloud patterns, and bring internal stakeholders into alignment through clear writing and conversation. You'll also take your turn in the on-call rotation, and you'll design the postmortems, runbooks, and incident response that help us never fail the same way twice.
You might be a good fit if you:
Have a minimum of 8 years of practical experience building and operating production distributed systems
Own large-scale infrastructure systems and lead ambiguous, cross-team technical projects from design through production
Run the same production workload across multiple cloud providers, including the migration or abstraction work that made it possible
Understand how cloud IAM models and networking primitives (VPC peering, private connectivity, service mesh) differ across providers
Write production code in at least one general-purpose programming language (e.g., Python, Go, or Rust)
Work confidently with Kubernetes and Infrastructure as Code (e.g., Terraform, Pulumi)
Understand ML infrastructure and supporting interconnects
Ship software through hyperscaler marketplaces or managed-model platforms
Bring a background in security, compliance, or data residency for regulated or sovereign cloud environments
Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
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:
$405,000
—
$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.
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.
San Francisco, CA | New York City, NY | Seattle, WA; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
Location: Remote (USA)
Workplace: remote
Arcadia is the most trusted healthcare platform powering outcomes. We transform complex healthcare data into trusted intelligence, helping providers, payers, and life sciences organizations act with clarity, make confident decisions, and achieve measurable clinical, operational, and financial outcomes.
Built on a comprehensive data foundation spanning tens of millions of patient lives, Arcadia combines advanced analytics and responsible AI to surface meaningful insights, coordinate action, and improve performance at scale. Our approach to AI and automation is governed and transparent — designed to strengthen human expertise, not replace judgment or obscure responsibility.
Hundreds of organizations rely on Arcadia to improve cost, quality, and outcomes. Backed by Nordic Capital, we continue to invest in our platform, AI capabilities, and people as we pursue our purpose: helping healthcare deliver better outcomes for every person, every community, and every generation.
Why This Role Is Important to Arcadia
Arcadia’s data and analytics platform is used by hundreds of health systems, ACOs, payers, and life sciences organizations, touching tens of millions of patient lives. This role owns how our agentic capabilities perform at that same scale: accurate, transparent about their own confidence, and safe for the clinicians, care teams, and patients who depend on them.
As a staff-level individual contributor, you will own the product-layer decisions that shape agent behavior, including prompting, retrieval and context, memory and state, evaluation, and escalation, while partnering with Product and Engineering on the systems that support them. Your work will help Arcadia make evidence-based launch decisions and scale responsible AI that is steerable, trustworthy, and ready for real healthcare workflows.
What Success Looks Like
In 3 months
You have established a production-grounded baseline for priority agentic workflows, with documented failure modes, severity-weighted evaluation rubrics, and a clear measurement plan
You have mapped the current retrieval, context, memory, and escalation patterns and identified the highest-value opportunities to improve reliability, calibration, and cost
You have earned trust across Product and Engineering by turning production evidence into clear, actionable recommendations
In 6 months
What You'll Be Doing
Design and
iterate on
agent behavior across real, live workflows, including long-
horizon
, multi-turn agentic tasks
Design retrieval and context architecture so the right source data reaches a model in the right
structure
and agents
remain
grounded in real data rather than filling gaps with assumptions
Design memory and state handling across multi-turn and multi-agent flows,
determining
what is carried forward, summarized, or dropped and why
Create context and prompt templates that combine few-shot examples, structured formatting, and reasoning scaffolding for consistent agent behavior
Improve performance through prompting, tool-use strategy, and context construction,
validated
through direct experimentation rather than guesswork
Build and run evaluations against real production conditions to measure performance,
regressions
, failure modes, and edge cases
Author evaluation rubrics, quality heuristics, and thresholds that weight failures by severity and cost
,
not just frequency
,
and
monitor
those measures against production behavior
Design and
validate
escalation paths that route agents to human review based on confidence and uncertainty while preserving safety and consistency under adversarial and edge-case conditions
Design for cost-aware performance alongside latency, reliability, and accuracy through efficient context construction and tool-call economy
Evaluate and sign off on model changes by baselining current behavior, running comparative evaluations, and making the go/no-go call before a change reaches a customer
Maintain product-level AI documentation, including model cards, intended use, limitations, and known failure modes, so customer-facing teams work from actual agent behavior
Partner closely with Product and
product managers
to ensure agents are not just capable, but steerable, trustworthy, and ready to scale
What You'll Bring
Bachelors degree in Engineering or related field and/or masters of Data Science or related field
4+ years of production software engineering experience, including 3+ years of hands-on ownership of ML, LLM, or agentic systems in production, with direct experience in healthcare, finance, or another regulated industry
Demonstrated ability to diagnose why an agent failed, correctly attribute the fix to instruction, retrieval, context, or memory design, and weigh failures by severity and cost rather than frequency alone
Hands-on experience with RAG architecture, production-grounded evaluation frameworks, and fallback or human-in-the-loop logic for automated systems
Working familiarity with AWS AI/ML services, including Bedrock and SageMaker, sufficient to build and evaluate effectively in Arcadia’s environment
Evidence-led judgment and the credibility to push back on launch decisions, paired with a builder’s instinct to run the experiment and move from a production failure to a fix
Would Love for You to Have
Experience applying AI to healthcare data or workflows where safety, transparency, and calibrated uncertainty directly affect care teams or patients
Experience with long-horizon, multi-turn or multi-agent workflows and product-level AI documentation such as model cards
What You'll Get
The opportunity to define how agent performance, safety, and readiness are measured for
production
healthcare workflows
Meaningful ownership across prompts, context, memory, evaluations, and escalation patterns at product scale
A cross-functional role translating production evidence into AI improvements used across Arcadia’s platform
A mission-driven company working to improve how patients receive care
A flexible, remote-friendly culture with personality and heart
Employee-driven programs and initiatives for personal and professional development
Membership in the talented, energized, diverse, and purpose-driven Arcadian community
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: Ciudad de México, Mexico
Workplace: hybrid
Location: Mexico City (Hybrid for Mexico location and remotely for others locations) |
Department: Strategy D&A Office
Company: NOVACARD
Be part of NOVACARD’s transformation into a truly data-driven fintech.
We’re looking for a Strategy & Data Governance Analyst — a key contributor bridging business strategy, financial analytics, and enterprise data management.
Your mission is to build a data-empowered decision culture: translate data into strategic insights, ensure data quality and governance, and support data-driven business planning.
📝 What You’ll Do – Responsibilities:
📈 Drive Strategic Analytics
· Analyze company performance across key fintech metrics: acquisition, activation, retention, monetization, and churn.
· Build and maintain unit-economics models to evaluate channel profitability, LTV/CAC dynamics, and payback periods.
· Identify growth drivers, operational inefficiencies, and levers for strategic improvement.
· Provide analytical support for strategic planning, quarterly targets, and investment prioritization.
🧠 Lead Data-Driven Transformation
· Design and implement a framework for data-driven decision-making across departments.
· Establish standardized KPI definitions, reporting hierarchies, and accountability chains.
· Support leadership in translating business goals into measurable data objectives.
🧩 Build Data Governance Framework
· Coordinate creation and maintenance of core governance artifacts:
· Metadata descriptions
· Enterprise Data Catalog
· Data Lineage (technical and business flow mapping)
· Business Glossary (data stewards and owners register)
· Data Quality Rules & Profiling metrics
· Data Observability & Monitoring dashboards
· Collaborate with IT, Data Engineering, and Product teams to ensure reliable and transparent data flows.
🔍 Maintain Data Quality & Trust
· Define and monitor data quality KPIs: completeness, consistency, timeliness, and accuracy.
· Investigate data anomalies and drive root-cause analysis with responsible teams.
· Build automated data quality and observability processes within DWH and reporting layers.
🧪 Run Strategic Experiments
· Design and analyze A/B and multivariate tests supporting product and business hypotheses.
· Measure incremental impact of product, pricing, and communication changes on key business metrics.
· Apply statistical rigor to evaluate significance and scalability of experimental results.
📊 Deliver Executive Insights
· Develop dashboards and reports that translate complex data into actionable recommendations for management.
· Support financial planning, forecasting, and scenario analysis with data-driven models.
· Ensure consistent alignment between operational KPIs and strategic company goals.
🤝 Cross-Functional Collaboration
· Act as an interface between Strategy, Product, Data, and Finance teams.
· Promote data stewardship culture and educate teams on proper data usage and governance principles.
· Facilitate adoption of data-governance tools and processes across the organization.
📝 Regular Tasks:
· Maintain financial and operational KPI dashboards in Power BI (or similar).
· Conduct deep-dive analyses on acquisition, retention, and monetization metrics.
· Support management in quarterly OKR reviews with analytical insights and forecasts.
· Curate metadata, lineage, and glossary entries for critical datasets.
· Track implementation of governance policies and compliance with data ownership model.
· Evaluate effectiveness of data quality monitoring tools and workflows.
· Prepare and present analytical materials for leadership and board-level reviews.
💻 Skills & Tools:
✅ SQL – advanced level for analytics and governance queries.
✅ Python – for modeling, statistical analysis, and data validation.
✅ Power BI (or similar- Tableau, Looker etc) – for data storytelling and executive reporting.
✅ Data Governance Platforms – experience with Ataccama, Collibra, Alation, OpenMetadata or etc.
✅ DWH & Integration – understanding of pipelines, data lineage, and data catalog integration (Postgres, etc.).
✅ Statistics & Experimentation – hypothesis testing, regression, causal inference, cohort analysis.
✅ Financial & Strategic Analysis – familiarity with unit economics, LTV, CAC, margin modeling.
🌟 Soft Skills:
🗣️ Strategic Communication – ability to distill analytical insights into concise strategic narratives for executives.
🧩 Systems Thinking – connects operational processes, data flows, and financial outcomes.
📋 Project Management – coordinates cross-team governance initiatives.
🔎 Critical Thinking – detects weak points in data logic and decision frameworks.
🤝 Stakeholder Leadership – builds alignment among Product, Risk, Marketing, Operations, Legal, Finance, DWH and IT.
🚀 Change Catalyst – inspires teams to adopt data-driven practices and maintain analytical discipline.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Claude is now good at security work. It finds and fixes vulnerabilities in real codebases, triages alerts, and reasons about how an attacker would move through a system, and it improves with every model we ship. Many security platforms build on Claude and we shipped our first security product this year (Claude Security).
You'll lead the cybersecurity product at Anthropic. That means setting the strategy, deciding what we build and where we partner, shipping products, and being the company's voice with CISOs, security vendors, and researchers. Some of this is 0→1 (our first-party products are a few months old and the next ones don't exist yet) and some of it is scaling what already works. Security touches nearly every team at the company.
Key responsibilities
Set Anthropic's cybersecurity product portfolio strategy and be accountable for the results.
Ship security products. Vulnerability discovery and remediation in Claude Code today and a broader set of capabilities in the future.
Represent Anthropic on security externally, with CISOs, vendors, researchers, governments, and press.
Partner with research. Know where the model falls short on security tasks and help build a plan to improve.
Work with safeguards and policy on model access for Cybersecurity.
Keep the cross-functional threads moving across research, engineering, sales, safeguards, policy, legal, and comms.
Minimum qualifications
You've spent meaningful time in security, whether building security products, running a security team, or doing the work yourself in application security, detection and response, vulnerability research, or offensive security.
You've built products or businesses from scratch and taken them to paying customers.
You design for where the models will be rather than where they are. You treat what the model can't do yet as a research target with a reliability bar, and you know what to ship in the meantime.
You have strong product judgment and enough technical depth to read a finding and tell whether it's real.
You're willing to do the unglamorous work.
You communicate well with CISOs, researchers, and executives alike.
Preferred qualifications
12+ years of experience building and shipping products, especially in the security space .
Fluency with AI products: evaluations, model behavior as part of the product surface
Technical background or experience working closely with infrastructure/platform teams
Strong technical judgment with ability to go deep on security and infrastructure topics
Structured thinking and ability to break down complex compliance requirements into shippable features
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:
$385,000
—
$460,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States, Aliso Viejo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Senior Software Engineer – Applied AI & Streaming
Aliso Viejo, CA
The vision
We think AI will change what cloud gaming can be. It can make streamed play faster, more personal, and more accessible, and in some ways better than playing locally. As a Senior Software Engineer on our team, you'll build agents and inference-backed systems into a real-time streaming platform and ship them to players. You'll work where AI meets performance-sensitive systems, and a lot of the problems here are still being defined.
What you'll do
Design, prototype, and ship AI-powered capabilities across our streaming platform and player experience.
Apply inference and agents to real-time performance, player engagement, personalization, and accessibility.
Use AI to understand, optimize, and evolve large existing codebases, including our streaming stack.
Build and extend our platform in C++, and help shape the technologies and architecture we use next.
Build what production AI needs: evaluation, telemetry, guardrails, fallbacks, and attention to latency and cost.
Turn ambiguous ideas into demos and experiments, measure what works, and harden it for production.
Work AI-natively every day, using coding agents, automation, and rapid exploration, and help the team do the same.
Work with a small, focused engineering team and with partners across streaming, platform, and cloud.
You're a great fit if you have
A BS in Computer Science or a related field, or equivalent practical experience.
Senior-level software engineering experience with a track record of owning complex systems end to end.
Strong C++ skills from professional work in production codebases.
Hands-on experience building and deploying agents or AI-powered features in production. You've worked through evals, regressions, latency, cost, and the ways these systems fail.
A strong grasp of how to turn models into products, including context and prompt design, tool use and orchestration, memory and retrieval, model selection, and where inference should run.
Fluency with AI-native engineering workflows.
Product judgment. You can tell when AI makes an experience better and when it's a gimmick.
The ability to work in ambiguity, move quickly, and keep momentum as priorities change.
Clear communication, strong ownership, and a habit of making the people around you better.
Bonus XP
Python, Rust, or other languages used to build and serve AI systems.
Low-latency or on-device inference, model optimization, or GPU experience.
Real-time media, game streaming, graphics, or video experience.
Cloud infrastructure, distributed systems, or production platform experience.
Experience building conversational or agentic experiences for games or interactive products.
Linux or Windows systems experience.
Japanese language or cross-cultural collaboration experience.
You enjoy playing video games.
Why join us
Work on AI problems most engineers never get to. In real-time systems, every millisecond counts, and so does every inference call.
Help set the direction. Our AI strategy is still taking shape, and you'll help decide what we build, not just how.
Get real ownership. You'll join a small, senior team where ideas go from prototype to production quickly.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$177,300
—
$265,900 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Compensation & Benefits Specialist to join our team in London, UK. In this role, you will support the development and implementation of our compensation and benefits programmes, working closely with HR, Finance, and leadership. You will play a key role in salary benchmarking, benefits, payroll-related processes, and reward initiatives, helping us maintain a competitive and compliant approach to compensation and benefits.
WHAT YOU'LL DO
- Develop and implement compensation and benefits strategies aligned with company goals.
- Conduct salary benchmarking, market analysis, and job evaluations to ensure competitive pay structures.
- Manage employee benefits programs, including pensions, health insurance, and other perks.
- Oversee payroll-related processes in collaboration with finance and HR teams.
- Ensure compliance with UK employment laws and regulations related to compensation and benefits.
- Support the design of incentive schemes, bonuses, and performance-based rewards.
- Provide guidance to employees on compensation structures, benefits, and policies.
- Collaborate with leadership to enhance employee satisfaction and retention through effective reward programs.
WHAT WE'RE LOOKING FOR
- 5+ years of experience in compensation & benefits or a related HR role.
- Previous experience in IT, tech, or digital companies is a plus.
- Strong analytical skills with the ability to interpret salary data and market trends.
- Solid understanding of UK labor laws and compensation regulations.
- Experience with HRIS and payroll systems.
- Excellent communication and stakeholder management skills.
- Proactive and detail-oriented mindset with a strategic approach.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for experienced backend and distributed systems engineers to join the Agentic Systems team within our Platform organization. Agentic Systems builds Claude Managed Agents: the hosted platform for building, running, and scaling production agents on Claude. Instead of every developer hand-rolling an agent loop, sandboxed execution, state management, credential handling, and error recovery — and reworking all of it with every model release — Managed Agents pairs an Anthropic-built agent harness with production infrastructure for sessions, environments, tools, memory, and permissions, exposed through a small set of composable APIs designed to stay stable as models and harnesses evolve. It powers agentic products inside Anthropic as well as those built by customers on the Claude Platform.
Managed Agents is in public beta and growing quickly, and this is still an early team with a lot of surface area left to define. You'll drive 0 → 1 efforts from ideation through GA, own systems end to end from API design through operations, and partner closely with product, research, developer experience, and go-to-market teams to figure out what "managed" should mean for the next generation of agents. You should be comfortable going deep on hard distributed systems problems, care about APIs as a product in their own right, and be motivated by turning ambiguous ideas into high-quality, shipped platform capabilities that other engineers build their products on.
What you'll do
Scale the platform.
Managed Agents runs long-lived, stateful sessions that execute autonomously for minutes or hours/days, persist through disconnections, and resume cleanly — across Anthropic-hosted sandboxes, self-hosted environments on customer infrastructure, and other clouds. You'll design and operate the systems underneath that: durable session and event storage, sandbox orchestration, streaming, scheduling, and multi-tenant isolation. Reliability, latency, and cost efficiency are product features here, and you'll own them in production.
Evolve the harness — and prove it with evals.
The harness is the loop that calls Claude, routes tool calls, manages context (caching, compaction, memory), and recovers from errors. Harnesses encode assumptions about what the model can't yet do on its own, and those assumptions go stale as models improve. You'll work alongside research to revisit them with each model generation, build the eval infrastructure that measures harness quality against research baselines and real customer workloads, and hold the bar that lets us say our harness gets the most out of Claude.
Help builders get the most out of Claude.
Our customers — internal and external — are building agents both as products for their users and to transform their own operations. You'll ship the capabilities that raise the ceiling on what those agents can do: outcome-driven execution where developers specify success criteria and a budget and Claude iterates until it gets there, multi-agent orchestration, memory, and the observability and tracing that make long-running agents debuggable. The goal is the highest intelligence per dollar of any agent platform, delivered safely.
Design APIs that outlast their implementations.
Agents, environments, sessions, vaults, and event streams are interfaces thousands of developers build against and that our own products depend on. You'll shape those primitives — versioning, ergonomics across API, SDK, and CLI, sensible defaults, escape hatches — with the expectation that the implementations underneath will change many times while the contracts hold.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend, distributed systems, or infrastructure engineer
Have built and operated stateful, long-running, or high-throughput systems in production — workflow orchestration, streaming, storage, container or job orchestration — and can reason rigorously about durability, consistency, failure modes, and cost
Have strong product sense and treat API design as a craft; you care about the developer on the other side of the interface and can ideate and execute product strategy with cross-functional partners in new domains
Are excited by 0 → 1 work and comfortable navigating ambiguity, and have ideally operated in both early-stage and more mature team or company settings
Use Claude or other AI tools as a core part of how you build software, and have opinions about what makes an agent harness good
Take full ownership of your work — from design through build, deployment, and operations (including on-call), to iterating on and improving what you ship
Care about building systems that other engineers and businesses love to use, and about doing so safel
Strong candidates may also have:
Built or contributed to an agent harness, agent framework, or LLM orchestration layer — tool execution, context management, memory, or multi-agent coordination
Worked on an AI or ML platform (model serving, inference infrastructure, developer tooling) at an AI lab or an AI-native product company, or led adoption of AI-driven development inside an engineering organization
Built evaluation or benchmarking infrastructure for LLM or agent systems
Experience with durable execution or workflow engines, sandboxed code execution, or container runtimes
Shipped public developer platforms, APIs, or SDKs used by external developers at scale
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
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:
$405,000
—
$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.
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: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Claude Platform is growing rapidly and serves developers and enterprises at scale. Reaching the next tier of enterprise customers requires transforming how and where we deploy it, as well as the set of features we support out of the box.
The Distribution team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it. This work is split across to major workstreams that are covered in the next section, and we need your help across both.
What you'll do
Claude Platform on the Clouds: You will make the Claude Platform a best in class offering on the Cloud Service Provider’s platform (AWS, GCP, Azure), by bringing our API, control plane and Anthropic features through the provider’s front door. You’ll do cross-cutting work across the clouds and also have the opportunity to go deeper with CSPs on native integrations across a range of deep technical problems at unprecedented scale. You’ll get to collaborate across the company with teams such as Infrastructure, Systems, Networking, Databases, Inference and more.
Enterprise Readiness: You’ll make our platform even more suitable for Enterprise, shipping next gen enterprise enablement features that unblock our next wave of regulated customers or enable our existing ones to scale further. You’ll do so in an Enterprise SaaS context, with a specific focus on enterprise growth, security and compliance, with features ranging from key management & encryption, audit APIs, usage visibility, access control, and international data residency. You’ll also partner closely with core teams across the company, as well as collaborate with CSPs to make these available on our cloud platforms.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent
Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to adopt by our customers
Own large-scale infrastructure systems and lead ambiguous, cross-team technical projects from design through production and can do so independently.
Have experience with cloud infrastructure (GCP, AWS, or Azure) at scale and/or Enterprise SaaS experience in a multi-tenant context, with background in security, compliance or data residency for regulated or sovereign cloud environments.
Take full ownership of your work—from design through deployment and operations
Are proficient in Python, Go, Rust, or similar systems language
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY or the Bay Area given the current location of team.
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:
$405,000
—
$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.
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: San José, Costa Rica; Quito, Ecuador
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
We are looking for a Client Solutions Manager to strengthen our team in Costa Rica where you will be representing TikTok in the local market. In this role, you will be targeting brands and agencies to get them to adopt TikTok for their online marketing campaigns.
If you’re passionate about digital marketing, have a data driven mindset and have a proven track record in media don’t hesitate to reach out to us.
What you'll do:
Participate in strategic planning to grow or generate new business opportunities.
Act as a consultant for top Key accounts.
Primary POC for client campaign management and timely reporting.
Provide actionable insights on campaign performance (products, budget, creatives vs. KPIs, delivery).
Ensure SLA adherence for excellent client service.
Optimize accounts for increased spend and manage reservation projects.
Drive product/company education and share best practices with clients/agencies.
Collaborate with cross-functional teams on creative ad solutions for business results.
Premium contact for the Sales Team.
Support client/agency education on product solutions to grow business and manage key relationships.
Maximize ROI through optimization and upselling with client reports.
Manage large customer relationships and drive business decisions through conflict resolution.
Provide feedback to product/tools teams for platform scaling.
Organize account information, assets, data, and reports.
Maintain campaign records, schedules, and ad placement availability.
Ensure accurate ad specs/rates; responsible for campaign reporting and optimization.
Skills and Experience Required
At least 4 years of experience in client relationship management and digital media.
Advanced English skills
Bachelor’s degree in Advertising, marketing, business, or tech.
Deep understanding of the digital landscape and a passion for social media.
Experience managing campaigns across digital platforms and ad tech products.
Intimately familiar with online media planning, design, and art control of advertising pieces.
Strong communication and people skills (working directly with clients).
Detail-oriented, with exceptional organizational skills
Aptitude, creativity, and a preference for working in collaborative teams and across business units.
Strong time management and problem-solving skills.
Ability to multi-task under challenging deadlines while still focusing on details
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Location: United States (Remote)
Workplace: Remote
ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
- Ready to run
- Hungry and driven by urgency
- Exceptional at what they do, with low ego
- Comfortable operating in motion
The Role
As a member of the analytics team, you bring order to vast amounts of internal and external data so OnePay can make better data-driven credit decisions, faster. You’ll own credit and product analytics for our in house liquidity products driving smarter decisions, better outcomes for our customers and growth for the business. You understand that risk is about more than minimizing losses and are eager to work cross functionally with product, engineering and data science teams to drive the business forward
In this role, you will:
- Own credit strategy end-to-end across advance, overdraft and other credit products — creating policies that balance growth and risk
- Think holistically about customer behavior, not just program-level metrics — connect segmentation and behavioral signals across products to uncover new insights
- Launch new credit products from scratch balancing first principles and limited data to scale innovative experiences with a credit and product lens
- Leverage AI-powered tools and techniques to accelerate analysis, develop and validate predictive insights, and push the boundaries of what’s possible in product analytics.
- Share insights and recommendations to senior leadership and stakeholders to influence the direction of the business
You bring
- 4-8 years of professional experience in credit analytics with a proven track record of leveraging quantitative analyses to drive business or product changes in a fast-paced environment.
- Demonstrated experience with consumer underwriting strategy and/or portfolio risk analytics — cash advance, overdraft, BNPL, or short-term consumer lending experience is a strong plus.
- Advanced SQL and AI skills, with the ability to independently pull and analyze complex datasets.
- Strong analytical thinking and problem-solving skills — you can go from ambiguous questions to clear insights.
- Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’.
- An act-like-an-owner mentality. We have a bias toward taking action.
WHAT WE OFFER
- Competitive base salary, stock options, and health benefits from Day 1
- 401(k) plan with company match
- Remote-friendly (US), flexible time off (FTO), and opportunities for growth
- A high-growth, mission-driven, inclusive culture where your work has real impact
STANDARD INTERVIEW PROCESS
Our process varies by role. Most candidates go through:
- AI-assisted initial screen
- Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
Location: Dublin, Ireland
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion is rebuilding its go-to-market motion around a workflow-first, builder-led model—and the BDR is at the front of it. As a Business Development Rep, you'll be the force that turns the right accounts into the right conversations. You'll partner closely with Solutions Consultants to identify and target companies that are ready to rethink how they work—and your job is to get them in the room. This isn't generic pipeline work: you're qualifying for workflow-first, build-ready opportunities that set SCs up to win. If you're competitive, curious, and energized by outbound that actually means something, this is the role for you.
This role is based in Dublin, Ireland. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Generate qualified, workflow-first pipeline by identifying and targeting high-potential accounts in your assigned book, partnering with your sellers on account and outbound strategy
- Run multi-channel outbound campaigns—email, phone, LinkedIn, and events—to create urgency and secure first meetings with the right decision-makers
- Conduct initial qualification to ensure meetings handed to sellers are "ready to build," not just "ready to talk"—validating ICP, intent, and workflow fit before the handoff
- Document and deliver clean handoff packets in Salesforce with ICP signals, pain points, workflow hypothesis, and stakeholder context so sellers can hit the ground running
- Leverage GTM System tooling and intent data to sharpen targeting, prioritize accounts by signal strength, and increase the quality and consistency of your outbound motion
SKILLS YOU'LL NEED TO BRING:
- Proven track record in outbound pipeline generation, with hands-on experience in cold prospecting across phone, email, and social channels
- Strong written and verbal communication skills with the ability to craft compelling, persona-specific outreach that earns a response
- Sharp qualification instincts—able to quickly assess ICP fit, identify urgency, and set solutions consultants up for high-quality first conversations
- Passion for AI/ML and understanding of API-first or consumption-based business models
- High-activity mindset with the discipline to prioritize based on signal and data, not just volume
- You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results.
- Fluency in Dutch
NICE TO HAVES:
- Experience with Salesforce, Outreach, or similar GTM tooling
- Familiarity with Notion as a product or prior experience selling productivity, collaboration, or workflow software
- Background in a high-velocity, metric-driven outbound environment with clear pipeline targets
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €70,000 OTE per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Espoo
Workplace: Hybrid
Role highlights:
- Senior Fullstack Engineer
- Location: Espoo
- Department: Engineering, Fleet Control and Communications
- Reports to: Engineering Manager, Fleet UI
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As a Senior Fullstack Engineer in Fleet UI team you will be building a mission-critical system used by satellite operators. The problems are technically rich: managing satellite configurations, visualizing orbits in 3D, managing passes across a global network of ground stations, automating mission operations and more. You will work in a domain where the UI decisions directly impact satellite mission outcomes.
Who We Are
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
Your day-to-day responsibilities
- Build, and maintain features across a React + TypeScript project serving real-time satellite operations
- Collaborate closely with a UI/UX designer in developing sophisticated UI components and data visualizations tools including timeline views, 3D globe rendering (Cesium), and pass planning interfaces
- Contribute occasionally to backend APIs (Node, Python) to unblock delivery when needed
- Drive frontend architecture decisions — state management strategy, component design, performance optimization
- Support the team with DevOps work across multiple environments — including managing Docker-based deployments, configuring environment-specific runtime settings, and contributing to release workflows
- Write and maintain unit tests (Jest + Testing Library) and end-to-end tests (Playwright)
- Participate in code reviews, uphold coding standards, and mentor engineers on best practices
- Contribute to CI/CD pipelines and oversee migration from Webpack 5 to Vite
What we’re looking for
Must haves:
- 5+ years of professional experience building fullstack production-grade applications using React, TypeScript (ES6+) and Node
- Experience writing clean, maintainable code in Python
- Strong understanding of component-based architecture, modern React patterns, and state management approaches
- Experience designing, developing, and consuming RESTful and GraphQL APIs
- Solid testing discipline, including unit and end-to-end testing with tools such as Jest and Playwright
- Experience with modern frontend tooling and build systems such as Vite, webpack, and npm
- Proficiency with Git and collaborative development workflows
Active use of AI-assisted development tools
- Strong problem-solving skills and ability to debug complex, cross-layer issues
- Understanding of web application security best practices
- Relevant higher education degree in Computer Science, Software Engineering, or a related technical field
Nice to haves
- Solid understanding of API design, including REST principles and GraphQL schema design
- Knowledge of database design and ORM frameworks
- Experience with modern DevOps practices including CI/CD pipelines, containerization, and cloud platforms such as AWS
- Familiarity with infrastructure and deployment tooling such as Kubernetes, Terraform, Helm, or ArgoCD
Application Process
- Talent Partner Screen Call
- Hiring Manager Interview
- Technical Interview
- Values & Fit Interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority—with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Base salary range for this position is 6 500 - 9 000 € per month (gross), depending on experience, and will be negotiated individually.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Hybrid - New York City
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a Product Manager, Observability to join our Product team. You will own the strategy and roadmap for Vercel's observability products, including Runtime Logs, OpenTelemetry tracing, and Drains, which let teams stream logs, traces, Web Analytics events, and Speed Insights metrics into the systems they already use. You will partner closely with engineering and design to help customers understand and debug what they run on Vercel, both through Vercel's native surfaces and through integrations with vendors that support OpenTelemetry. You will report to the product lead and will be located in New York, NY (hybrid).
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
What you'll do
Own strategy and roadmap for Vercel's observability products, from telemetry ingestion through the surfaces developers use to debug and monitor.
Turn ambiguous signal — support escalations, customer interviews, usage data, competitive shifts — into a sequenced plan with clear tradeoffs.
Partner daily with engineering on scoping, and with design on making dense telemetry data genuinely legible.
Define the native-vs-integrate line: what Vercel builds, and where we make Datadog, Sentry, Grafana, Honeycomb, and New Relic work seamlessly.
Work with Enterprise customers and Sales/Solutions on observability needs that block adoption or expansion.
Own pricing and packaging decisions with Finance and GTM — observability is metered, and unit economics are part of the product.
Write the launch narrative: changelogs, blog posts, docs direction, in partnership with PMM
Define the metrics that tell you it's working, and hold the team to them.
What you need
5+ years in product management, with meaningful time on developer, infrastructure, or data-intensive products.
You've shipped something technical enough that engineers treated you as a peer. You can read a trace waterfall and reason about cardinality, sampling, and retention costs.
Comfortable owning a domain end to end without a PM above you translating strategy into work.
You use the products you build on, and you have opinions about the ones you don't.
Fluency with data: you write your own queries and don't wait on someone else to answer a usage question.
Bonus if you
Have worked at an observability, APM, or monitoring company, or been the internal power user of one at scale.
Have shipped AI or agent-facing developer tooling.
Have owned consumption-based pricing for a technical product.
Are an active Next.js or Vercel user.
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Remote (USA)
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io.
Arcadia helps healthcare and life sciences organizations deliver measurable results. We unify fragmented data across the healthcare ecosystem so payers, providers, ACOs, and life sciences companies can make confident decisions grounded in trustworthy intelligence. Our platform supports more than 200 organizations and 40 million attributed lives across value-based care, risk adjustment, population health, and life sciences programs.
Why This Role Is Important to Arcadia
Arcadia is at a growth stage where the connective tissue between ideation, execution, and executive decision-making matters enormously. This primarily manifests across two areas today: (1) Growth (Strategy, Sales, and Retention & Expansion) and (2) cross-functional Executive initiatives. This role sits at that intersection: you will partner with the Chief Commercial Officer to identify and launch new growth initiatives—whether that's a new vertical, a new go-to-market partnership, or a new solution while also engaging directly with the executive team to drive alignment on the initiatives that matter most across the company. In practice, this typically plays out as roughly 75% of your time on commercial strategy and growth initiatives, and roughly 25% partnering directly with the executive team and supporting the Chief Executive Officer.
This is a role of ownership and initiative, not execution-on-request. You will be given real latitude to define how new opportunities get approached, how cross-functional work gets organized, and how the executive team stays aligned—and you'll be trusted to run with it. You will report to the Chief Commercial Officer and partner closely with Product, Clinical, Value Enablement, Sales Engineering, Marketing, Actuary, Account Management, and the broader executive team.
What You'll Be Doing
Launch New Growth Initiatives
You will partner across the Commercial, Value Enablement, and Product teams to identify and pursue new paths to growth—whether that's a new vertical, a strategic partnership, a new product or solution go-to-market motion, or another initiative altogether—taking ownership of the work from initial concept through initial traction.
Identify and size new growth opportunities by understanding the market, our competitive position, and where Arcadia's assets and talent can be leveraged to win
Build the business case for each opportunity: market sizing, financial rationale, resourcing needs, and risks, so leadership can make a clear go or no-go decision
Partner with Thought Leadership, Value Enablement, Product, Clinical, Partnerships, and other domain SMEs as needed to shape the specifics of each initiative—what it is, who it's for, and how it comes together
Build the
GTM positioning
and competitive differentiation for each initiative, grounded in Arcadia's outcomes-first brand and validated against real buyer needs
Translate the business case into a tactical execution plan, and drive that plan forward: coordinate cross-functional workstreams, resolve dependencies, and keep the initiative moving toward real traction
Define success criteria for each initiative and track progress against commitments
Strengthen GTM Motion
New markets don't succeed in isolation—they depend on a commercial engine that's tightly coordinated. You will take initiative to close gaps and accelerate growth across the teams that make GTM work and bring visibility into that progress at the executive level.
Build and refresh competitive intelligence in target markets, synthesizing signals from win/loss data, market research, analyst commentary, and field input
Collaborate with Value Enablement and Solutions Consulting to improve discovery-to-proposal velocity, solution credibility, and RFP quality
Partner with Actuary to sharpen financial modeling, risk quantification, and ROI frameworks used in payer and risk-bearing organization deals
Facilitate cross-functional alignment meetings, manage project tracking for strategic commercial initiatives, and proactively remove blockers
Bring commercial progress, risks, and decisions needing executive input directly into board and executive committee conversations
Executive Team
Support
As Arcadia scales, the initiatives that matter most increasingly cut across teams and leaders—commercial expansion chief among them. This role gives you a direct seat in that conversation, extending the alignment work you do in Commercial to the executive team as a whole.
Drive the Executive Committee Operating Rhythm: Help shape and run the weekly executive committee meeting -- build agendas, synthesize pre-reads, capture decisions, and drive follow-through across leaders
Partner on board meeting preparation, ensuring materials reflect a coherent narrative across commercial, product, and financial priorities
Take ownership of cross-functional strategic initiatives that span multiple teams and executives, acting as the driver who keeps them moving and accountable
Proactively surface where executive-level initiatives are stalling and broker resolution before they become bigger problems
Take on special projects with the executive team as they arise, applying the same ownership and rigor used in the commercial work
What Success Looks Like
In the first 90 days, you have mapped the highest-priority growth opportunities in front of Arcadia, built relationships across Product, Clinical, Value Enablement, Marketing, and the executive team, and built the business case for at least one priority initiative.
In year one, you have taken two or more growth initiatives from concept to real traction—whether new verticals, partnerships, or products—contributed measurably to pipeline generation and competitive win rates, and become a trusted driver of alignment within the executive committee and board cadence.
What You'll Bring
Required
Seven or more years in healthcare GTM strategy, strategy consulting, or a commercial leadership role
Deep fluency in the payer or provider landscape—you can speak credibly to value-based care, population health, risk adjustment, quality and Stars
Demonstrated experience taking a growth idea from concept to traction in a B2B healthcare context—building the business case, shaping the go-to-market approach, and driving execution
Experience partnering with executives or a board on operating rhythms, including meeting preparation, cross-functional tracking, and driving follow-through on strategic commitments
Strong cross-functional collaborator who can align product, clinical, finance, sales, and executive stakeholders behind a common strategy
Comfort working in ambiguity—this role requires structuring undefined problems and building the plan, not executing a defined playbook
Excellent written and verbal communication; able to build crisp, compelling narratives for executive, board, and buyer audiences
Preferred
Experience with data and analytics platforms sold to payers, ACOs, or risk-bearing organizations
Familiarity with buyer segments beyond traditional payer and provider markets—including self-funded employers, risk-bearing entities, or adjacent healthcare services organizations
Prior experience as a chief of staff, or in a strategy-and-operations role partnering closely with a CEO or executive committee
What You'll Get
Competitive compensation and strong benefits
Employee-driven programs and initiatives for personal and professional development
Membership in the talented, energized, diverse, and purpose-driven Arcadian Community
Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
This role is bonus eligible
Location: Remote (North America)
Workplace: Remote
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
ABOUT THE ROLE
Clipboard is looking for a Sales Operations Analyst to help build and run the systems behind our sales organization.
You'll work across Salesforce, data, automation, and internal tools to help our sales team operate more effectively. That might mean building an automation that eliminates a recurring workflow, investigating a messy data problem, redesigning part of our Salesforce setup, or building a new system from the ground up.
We are a small team with an unusual operating model. Much of our execution runs through AI agents that we direct and quality-check, allowing each analyst to operate with the leverage of a much larger team.
This is equal parts builder and operator. You'll own systems end to end, work through ambiguous requests from reps and leadership, and be accountable for making sure the things you build actually work.
WHAT YOU'LL DO
- Own live systems. Take ownership of production systems such as account distribution, deal intelligence, competitor tracking, and data sync pipelines. You'll be accountable for their accuracy and reliability.
- Solve ambiguous problems. Work through requests from sales reps, managers, and leadership, figure out what is actually needed, and execute quickly.
- Direct AI agents. Write specs and prompts, supervise AI agents, and rigorously QA their output before it touches production data.
- Build automations and tools. Create scripts, scheduled jobs, Slack bots, and lightweight web apps that turn recurring manual work into scalable systems.
- Analyze and report. Use SQL and other tools to answer important revenue questions and build reporting the organization can trust.
- Guard data quality. Handle merges, deduplication, account mapping, enrichment, and other work required to keep our systems accurate at scale.
WHAT WE'RE LOOKING FOR
- Evidence of building. You've built scripts, automations, tools, systems, or other solutions to real problems.
- AI-native working style. You already use AI to multiply your output and understand where it can fail and how to verify its work.
- High judgment under ambiguity. You can take a loosely defined problem, figure out what matters, and know when to act versus when to ask.
- Strong attention to detail. You're comfortable being the last line of defense before changes affect production systems and large datasets.
- Bias to ownership. When something you own breaks, you don't just fix the immediate issue. You look for the underlying problem and improve the system.
SQL and Python experience are strong pluses, but we're more interested in your curiosity, judgment, and ability to ship than checking every technical box.
NICE TO HAVE
- Salesforce administration or development experience, including flows, SOQL, or data model design.
- Experience in Sales Operations, Revenue Operations, Business Operations, analytics, or a similar environment.
- Experience building automations with tools, scripts, APIs, or AI agents.
INTERVIEW PROCESS
1. Application Review – We'll review your experience and evidence of things you've built, automated, or owned.
2. Take-Home Assessment – A practical, ~2-hour assessment using a fictional company, mock website, and CRM. You'll have 48 hours to complete it, and AI tools are encouraged.
3. Technical Walkthrough – A 30-minute session where you'll demo what you built, explain your decisions, and make a small live change to your system.
4. Manager Interview – A 30-minute conversation focused on communication, ownership, judgment, and how you operate under ambiguity.
5. Final Steps / Offer! – Some candidates may have an executive conversation, followed by references and an offer.
WHAT WE OFFER
- Competitive base salary
- Insurance benefits + 401k options
- Unlimited PTO and flexible holidays
- Remote-first working environment
To get a better understanding of the general type of people we want to hire, you can check out our blog here. https://creatingvalue.substack.com/
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
Location: Ukraine; Moldova; Albania; North Macedonia; Turkey; Kazakhstan; Montenegro; European Union; Serbia; Georgia
Workplace: Remote
ABOUT US
Ruby Labs is a leading technology company specialising in innovative consumer products across multiple technology sectors. The company focuses on D2C (Direct-to-Consumer) subscription products. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We are looking for a Senior User Acquisition Manager to own and scale Facebook(Meta) for one of our core D2C subscription products. The funnel is simple: ad → quiz → trial → subscription (web-to-web). The scale is not: 40+ countries, 20+ languages, one of the largest Meta budgets in its category.
You will be measured on two numbers: daily subscriptions and cohort ROI — not clicks, not CTR, not platform-reported ROAS.
You'll operate with serious leverage: an API-driven build pipeline and AI tooling handle the mechanical work. Your job is judgment — what to scale, what to cut, where the next dollar goes. The bar is high and so is the upside: performance here is directly and significantly rewarded, and strong operators take on bigger scope fast.
KEY RESPONSIBILITIES
- Channel Ownership: Own the Facebook account end to end — structure, budgets, bidding, geo mix — keeping subscription volume high at target CPA and ROI.
- Scaling & Stability: Scale winners without breaking CPA; keep delivery stable at high spend and catch problems before they cost money.
- Testing: Run a continuous testing pipeline — creatives, structures, bidding (highest volume / cost cap / bid cap), placements, geos and languages. Kill fast, scale what works.
- Creative Ideas: Own the creative direction for the channel — hooks, angles, formats — and brief the creative team with data-backed feedback.
- Working with Data: Make decisions on real cohort revenue from our BI, not on Ads Manager numbers. Break performance down to country × creative × bid level and build your own reports.
- Account Health: Protect ad accounts, pages and Business Managers — policy-safe copy and landings, appeals, backups.
- AI & Automation: Automate every repeatable part of your workflow with AI and keep manual work to a minimum.
QUALIFICATIONS
MUST-HAVE EXPERIENCE
- 2+ years hands-on Facebook as the primary channel you personally owned.
- Personally owned $400K+/month on Meta with direct accountability for CPA / ROI targets — your budget, not your team's or agency's total.
- Subscription funnels: drove subscriptions or trials through web funnels (web-to-web) or subscription apps for D2C products.
- Multi-GEO: ran and scaled campaigns across many countries and languages at once.
- Analytics: comfortable with cohorts, LTV, payback and the gap between platform and BI numbers.
- AI in daily work: uses Claude, ChatGPT or equivalents daily for analysis, reporting and automation — not just aware of them.
- Working proficiency in English (B2+).
NOT A FIT
- Mostly agency experience (spread across many small clients)
- E-commerce / catalog-only background (DPA, Shopping, basket ROAS)
WHO YOU ARE
- Full owner of your zone — from diagnosis to result, no reminders needed
- Analytical — every scale or kill decision has a period, a threshold and a dollar amount behind it
- Plans ahead — runs the channel against a plan weeks and months out
- Fast under load — many campaigns and tests in parallel without quality slipping
- Ambitious — wants to grow fast and prove it with performance
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (60 minutes)
- Final Interview (45 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
#LI-Remote
Location: București, Romania
Workplace: hybrid
EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide.
But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork.
Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.
We are looking for Platform Technical Leader to join our team in Bucharest!
About the job:
The Platform Technical Leader (EM3 & PaaS) will define and drive the architecture and technical operating model for EveryMatrix’s next-generation Platform as a Service. The role will enable EM3 and the wider EM2030 transformation through secure, reliable, automated, and self-service platform capabilities that can operate across datacentres and cloud environments at fleet scale.
The role reports to the Platform Engineering Leader and remains within the existing Platform Engineering organization. It will initially have no separate team or direct reports. Delivery will be achieved through technical leadership and dedicated contributors allocated from the existing Platform Engineering streams and specialist teams on a project basis. The role will help shape the future technology-oriented Platform Engineering model and the development of SRE and DevSecOps capabilities without creating a parallel organization.
The successful candidate will initially lead the EM3 and PaaS technical direction without a separate team or direct reporting line. Results will be delivered through architecture ownership, technical leadership, organizational influence, and dedicated capacity allocated from existing teams. The candidate must be able to lead engineers and technical outcomes at scale while people management, capacity ownership, and operational accountability remain with the existing Platform Engineering leadership structure.
Responsibilities:
Define the EM3 and PaaS target architecture, platform principles, roadmap, and reference patterns.
Design the platform control plane, management APIs, desired-state model, and fleet-wide lifecycle-management approach.
Define automated provisioning, configuration, upgrades, patching, recovery, rollback, version compliance, and decommissioning across infrastructure, Kubernetes, and platform services.
Design deployment patterns for single-tenant and smaller multi-tenant environments across datacentres and public cloud.
Establish platform products, self-service interfaces, service catalogue standards, golden paths, and reusable blueprints.
Define reliability standards, service ownership, production readiness, SLI/SLO practices, observability, resilience testing, and the future SRE operating model.
Embed security by default through DevSecOps practices, policy as code, secrets and identity controls, supply-chain security, compliance automation, and automated evidence.
Lead cross-team architectural decisions and align Platform Engineering, Infrastructure, DBA, Networking, Security, Architecture, and Product Engineering.
Define technical acceptance criteria and decision gates for proof of concept, production readiness, lifecycle readiness, security readiness, and operational readiness.
Work with the Platform Engineering Leader on capacity planning, project allocation, skills development, targeted hiring, and the progressive transition to technology-oriented platform domains.
Mentor senior engineers and help develop future Platform Engineering, SRE, and DevSecOps leaders.
Drive outcomes that allow platform scale to grow without proportional growth in manual operational effort.
Own our private cloud infrastructure as a product, setting the technical direction and the roadmap for how it evolves;
Define and publish a service catalogue with clear ownership and clear interfaces, so that provisioning compute, storage, environments and infrastructure is a self-service call for our development teams;
Deliver secure CI/CD as a service, with pipelines, secrets management, access control and compliance controls built into the platform by default rather than added afterwards;
Set, measure and report on SLAs, capacity plans and cost transparency for every service the chapter provides;
Establish the engineering standards of the chapter, including infrastructure as code, peer review, automated testing and observability, and hold the team to them;
Embed AI-assisted engineering in how the chapter works day to day, and measure the effect it has on delivery speed and quality;
Partner with development, architecture and security so that platform capabilities match what our product teams need;
Take accountability for the reliability of the platform, including on-call arrangements, incident response, and post-incident learning.
Requirements:
Proven experience designing, building, or transforming a large-scale internal platform or Platform as a Service capability.
Experience with Kubernetes and infrastructure lifecycle management across multiple clusters, locations, or tenants.
Strong knowledge of Kubernetes, containers, networking, identity, secrets, storage, distributed data services, and observability.
Experience with Infrastructure as Code, GitOps, declarative configuration, reconciliation, platform APIs, and policy-driven automation.
Experience delivering automated upgrades, patching, rollback, recovery, and version management.
Experience defining platform products, self-service services, service ownership, and operating models.
Strong understanding of SRE practices and the design of reliable, observable, production-ready services.
Strong understanding of DevSecOps, software supply-chain security, platform security, and automated compliance controls.
Experience leading complex technical change across multiple teams without direct organizational authority.
Excellent communication and stakeholder-management skills.
Nice to have:
Experience establishing Platform Engineering, SRE, or DevSecOps capabilities.
Experience with hybrid, on-premises, private-cloud, and public-cloud platforms.
Experience with single-tenant and multi-tenant deployment models.
Experience with Kubernetes fleet management, progressive delivery, upgrade rings, and low-downtime change.
Experience with PostgreSQL, ClickHouse, Kafka, Redis, Elasticsearch, or similar distributed services.
Experience in regulated, audited, or high-availability environments.
Here's what we offer:
Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us.
Hybrid work schedule is available after the first three months of employment, in line with the company policy.
Benefit from two Free Fridays each year, limited to one per quarter.
3 sick leave days per year, no doctor's note required.
Daily catered lunch or monthly lunch allowance.
Private Medical Subscription.
Access online learning platforms like Udemy for Business and a budget for external training.
Access to an Employee Assistance Program through TELUS Health.
Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym?
At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!
EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.
Location: Flexible
Job Title: Senior Product Manager
Department: Product Management
Reports to: Co-Founder (Product)
Location: Remote
About Codex
Codex is building the infrastructure for stablecoin-based cross-border payments — moving money faster, cheaper, and more transparently than the legacy financial system. Backed by Circle, Coinbase, Dragonfly, Wintermute, and Cumberland, we're a small team solving hard problems at the intersection of crypto and global payments.
The Role
As Senior Product Manager, you'll own 3P payouts and collections end-to-end — from how money flows in via virtual accounts and collections rails, to how it flows out via FP integrations and direct banking rails. You'll be the payments expert in the room: the person who knows which FPs are worth integrating, how to design a user journey for our clients, and how to specify something that an engineer can actually build.
What we need is someone who is deeply payments-native and can operate as the domain owner from day one.
Responsibilities
Product Ownership — Payouts & Collections
- Own the 3P payout and collections product end-to-end — from strategy and prioritisation through to spec, build, and launch
- Define and maintain the product roadmap for FP integrations and direct banking rail integrations as the business scales
- Write detailed, buildable specs — engineers should be able to ship from what you produce
- Design the user journey and frontend experience for payout and collections flows, with strong opinions about what a client actually needs to see and do
Financial Partner Strategy & Integration
- Evaluate FPs and banking partners across pricing, rail coverage, onboarding complexity, licensing constraints, and operational reliability — and make clear recommendations on which to integrate and in what sequence
- Lead the integration process with new FPs end-to-end: scoping, spec, coordination with Engineering, and go-live
- Understand the FOF implications of each FP and banking relationship, and design around the constraints rather than discovering them after the fact
- Stay current on the FP and payments infrastructure market — who the relevant players are, what they're good at, and where the gotchas are
Cross-functional Collaboration
- Work day-to-day with the co-founders, Customer Operations, and the Engineering team
- Align with Financial Partnerships on which FPs and banks are being evaluated, and feed product requirements into the partnership prioritisation process
- Work closely with Compliance and Legal on licensing constraints and fund safeguarding requirements
- Surface client feedback on payout and collections UX to inform the roadmap — you'll be talking to clients directly
What We're Looking For
- 6 to 10 years of product experience, with meaningful depth in cross-border payments infrastructure — payouts, collections, virtual accounts, and FP/banking integrations
- Must have shipped both directions of money movement: outbound payouts and inbound collections
- Prior hands-on integration experience with payment infrastructure providers Payments-native: you understand flow of funds, rail mechanics, corridor-specific constraints, and how licensing affects what you can build
- Opinionated about UX for a B2B payments ICP — you know what a client needs to see when they place an order, and you can design for it
- Background at a licensed cross-border payments company or stablecoin payments shop at Series A–C scale
УдалённоRemote (USA)
ГибридCiudad de México, Mexico
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
San Francisco, CA | New York City, NY; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
San Francisco, CA | New York City, NY; Preference will be given to candidates based in NY or the Bay Area given the current location of team
ГибридSan José, Costa Rica; Quito, Ecuador
УдалённоUnited States (Remote); We encourage candidates from all backgrounds to apply; Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com
Dublin, Ireland
ГибридseniorEspoo
Hybrid - New York City
УдалённоRemote (USA)
УдалённоRemote (North America)
УдалённоseniorUkraine; Moldova; Albania; North Macedonia; Turkey; Kazakhstan; Montenegro; European Union; Serbia; Georgia; Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET