Location: New York, New York; New York City Metropolitan Area; New Jersey; Connecticut; San Francisco Bay Area, California
Workplace: remote
About the role:
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move.
We’re an
Anthropic and AWS Partner
with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name
What You’ll Do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice
What We Look For:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses)
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production
IaC depth: AWS CDK, CloudFormation, Terraform
Open-source contributions or public writing on applied AI
What We Offer:
Full-time employment
On-site visits to clients’ facilities and our office in NYC 1/week
Unlimited Vacation policy
Generous health, vision, and dental insurance
401(K) matching plan
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data
No Visa sponsorship
How We Hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
4. Soft skills interview.
5. Offer discussion.
We’re real:
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO
УдалённоseniorNew York, New York; New York City Metropolitan Area; New Jersey; Connecticut; San Francisco Bay Area, California
Location: Barcelona, Spain
Workplace: remote
Welcome to OLX
We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.
We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.
Our brands – including AutoTrader, OLX, Otomoto, Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.
Join OLX and see how far you can go.
We believe the future of our products sits at the intersection of AI and design. Our ambition is to become an AI-native organization, where intelligent systems and human-centered design come together to create faster, smarter, and more meaningful customer experiences. We’re rethinking how products are built, how experiences are shaped, and how teams deliver impact.
A key part of this transformation is creating the right foundations and infrastructure to enable high-quality experiences at scale - where design systems, patterns, and workflows are structured, scalable, and AI-readable, unlocking new levels of speed, consistency, and innovation.
The role
We're looking for a Senior Product Designer to join our Design System team, working across our Real Estate products. You'll play a key role in evolving our design system, helping designers and engineers across the business design and build with greater consistency, quality and pace.
You'll work day to day within a small, dedicated pod, spanning web and app. But the system serves designers across multiple tribes, each shipping their own product work. You'll work within our contribution model, helping teams outside the pod propose, adopt and evolve components without fragmenting the system.
We're looking for someone with strong craft, attention to detail, and curiosity about systems thinking and AI-assisted workflows. You'll help create a coherent product experience across our brands while developing your own design systems practice.
Key responsabilities:
Design and evolve reusable components, patterns and foundations within our design system, reducing duplication and improving consistency across tribes
Define component behaviour, states and variants, working directly with engineering to ship them
Run and improve the contribution model: the process and standards that let designers outside the core pod propose and ship components without breaking system coherence
Support design work from problem framing through to documentation and handover, using research and feedback from teams to inform decisions
Create clear documentation and specifications covering variants, edge cases and usage guidance
Collaborate closely with engineers on token strategy and the practical link between Figma and production code
Resolve conflicts between a tribe's local need and the system's long-term coherence
Work with product design teams to identify gaps and embed stronger systems thinking across products
AI-enabled Design Systems:
Use AI-assisted tooling as part of your daily workflow, from research through to prototyping and component definition
Contribute to making the system well-structured for AI-assisted workflows, including tokens, documentation and reusable patterns
Know when to override AI output with your own design judgment, and be able to explain why
What we're looking for:
Proven experience designing and maintaining a design system at scale, not just documenting one
Experience running or contributing to a contribution model, or a clear point of view on how you'd build one
Strong technical fluency: you understand how your decisions translate into code, and work with engineers as a peer, not a handoff
Sharp judgment on trade-offs: when to enforce consistency, when to allow exceptions
Strong communicator, able to justify design system decisions to stakeholders who don't share your priorities, and bring other designers along rather than dictate to them
Comfortable with AI-assisted tools, with an interest in applying them in practical ways to improve speed, quality and consistency
Required experience
A portfolio demonstrating strong product and systems thinking, with evidence of shipped impact, not just documented patterns
Experience working in Figma, including component libraries, variables and tokens, alongside experience with built or coded prototypes
Experience working closely with engineers to deliver high-quality, scalable outcomes
Experience or strong interest in AI-assisted design or development workflows
Hiring Process
First Stage - Recruiter
Screen
This is your first interview with our Talent Acquisition team. We’ll explore your background, skills, and experience, as well as your approach to autonomy, ownership, and critical thinking. It’s also a chance to discuss your aspirations and ensure alignment with our culture and values.
Second Stage -
Portfolio Review
In this stage, you’ll meet with the Hiring Manager and a Designer from the team. We’ll explore your process thinking and approach to design through a case study of your choice. This is also a great opportunity to discuss how you collaborate with others and how your values align with our team culture.
Third Stage -
AI Sandbox Challenge
This is a dynamic and interactive session where you’ll have the chance to demonstrate your thought process in action. It’s designed to give us insight into how you approach challenges, integrate AI into your workflows, and apply your skills in a practical setting.
We aim to make this process clear, collaborative, and reflective of the way we work as a team.
DEI statement
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don't meet all the requirements - you may be just the right fit for this or other opportunities with us.
Privacy Data disclaimer
OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.
Location: New York
Workplace: remote
About the role:
We’re an
Anthropic and AWS Partner
with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name
What You’ll Do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice
What We Look For:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses)
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production
IaC depth: AWS CDK, CloudFormation, Terraform
Open-source contributions or public writing on applied AI
What We Offer:
Full-time employment
On-site visits to clients’ facilities and our office in NYC 1/week
Unlimited Vacation policy
Generous health, vision, and dental insurance
401(K) matching plan
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data
No Visa sponsorship
How we hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
4. Soft skills interview.
5. Offer discussion.
We’re real:
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO
Location: United States; Phoenix; Seattle; California; Denver
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
As an Account Executive at Cohere you will have ownership of the full sales cycle - from identifying leads to closing deals, with State, Local and Higher Education customers in the Western region of the United States.
In this role you will be focussed on business development activity within the government departments and agencies at the state and local level, as well as within higher education within your territory..
We’re looking for an approachable and compelling communicator who loves working with SLED customers to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them drive better citizen outcomes. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing, and Sales Engineering. You’ll be the voice of the field and help our Product and Engineering teams prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you will thrive in a quickly evolving environment.
As an Account Executive, you will:
- Drive net-new customer acquisition through targeted outbound activity, senior leader engagement, and relationship building across SLED organizations.
- Develop and execute a sales plan and prioritization for the SLED market in your territory, identifying pathways and partners to scale growth regionally.
- Act as a trusted advisor and thought partner to SLED customers and prospects by understanding their goals and shaping AI solutions that deliver measurable value
- Work closely with channel and local partners, particularly Distributors and VARs as well as major system integrators to scale outreach, accelerate adoption, and maximize customer success
- Leverage senior-level relationships with executives and government decision-makers to drive strategic opportunities and long-term partnerships
- Collaborate with Product and Engineering teams on strategic efforts to deliver enterprise and public-sector solutions
- Partner with SDRs and Marketing to drive top-of-funnel activity and overall territory growth
- Own the full sales cycle; including discovery, technical and business validation, proof-of-concept, procurement, and deal close within a team-selling environment
You may be a good fit if you have:
- 5+ years of direct public sector sales experience in the SLED Market, with a proven track record of closing $2M+ annual quotas.
- Deep knowledge of SLED procurement cycles and decision-making processes, how to work with resellers, VARs and distributors.
- Established regional network, including state and local departments and agencies, prime contractors, and industry associations.
- Experience selling SaaS, AI/ML, or enterprise software solutions to government clients.
- High tolerance for ambiguity, you are both a strategist and a hands-on operator capable of building a market from the ground up
- Strong organizational skills, with the ability to manage multiple internal and external stakeholders across fast-moving deals
- Creativity and strong technical acumen to structure unique, mutually beneficial partnerships
- Excellent communication skills, you listen deeply, understand what matters to senior decision-makers, and confidently present to both technical and non-technical audiences
- Preference given to candidates within California, Texas, Washington, Arizona and Colorado with willingness to travel (25-35%).
Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Tallinn, Estonia
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Data Analyst
to mainly c
ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The
Data Analyst
will have the chance to:
• Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
• Support the implementation of data-driven solutions that improve business performance and operational efficiency.
• Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis.
• Ensure data accuracy and consistency through validation and quality checks.
• Work closely with BI team members to improve reporting processes and analytical capabilities.
• Stay up to date with industry trends, analytical techniques, and data visualization best practices.
What do you need to succeed in this role?
• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
• Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry.
• Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately.
• Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
• Experience gathering business requirements and translating them into reporting and analytical solutions.
• Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring.
• Hands-on experience with data visualization tools (Power BI preferred).
• Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas.
• Working knowledge of DAX and Power BI data modelling principles.
• Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Attention to detail, curiosity, and a proactive approach to solving business problems.
• Excellent command of English, both written and spoken.
• Strong teamwork and collaboration skills.
Will be considered as a plus:
• Experience with statistical analysis and A/B testing concepts.
• Basic knowledge of machine learning concepts and their business applications.
• Proficiency in Python or R for data analysis and automation.
• Experience working with financial services, trading, or FX data.
• Familiarity with data governance and data quality best practices.
• Knowledge of Agile methodologies and DataOps principles.
• Familiarity with Databricks or similar cloud platforms.
• Experience conducting market, competitor, or benchmarking analysis.
By joining us, you can expect:
• A Unique Opportunity for a career in a global, fast-growing company.
• Attractive
remuneration package
based on qualifications and experience.
• Opportunities to learn and grow through our “
Employee Training & Development program”.
• Stebby Sports Compensation or Confido Health Compensation.
• Multiple
events
to bond with the team and the group.
• Birthday and Loyalty
benefits
.
What to expect from our recruitment process:
Interview with HR
Assessment task
Interview with hiring managers
Final interview with top management
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Warsaw, Poland
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Data Analyst
to mainly c
ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The
Data Analyst
will have the chance to:
• Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
• Support the implementation of data-driven solutions that improve business performance and operational efficiency.
• Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis.
• Ensure data accuracy and consistency through validation and quality checks.
• Work closely with BI team members to improve reporting processes and analytical capabilities.
• Stay up to date with industry trends, analytical techniques, and data visualization best practices.
What do you need to succeed in this role?
• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
• Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry.
• Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately.
• Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
• Experience gathering business requirements and translating them into reporting and analytical solutions.
• Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring.
• Hands-on experience with data visualization tools (Power BI preferred).
• Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas.
• Working knowledge of DAX and Power BI data modelling principles.
• Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Attention to detail, curiosity, and a proactive approach to solving business problems.
• Excellent command of English, both written and spoken.
• Strong teamwork and collaboration skills.
Will be considered as a plus:
• Experience with statistical analysis and A/B testing concepts.
• Basic knowledge of machine learning concepts and their business applications.
• Proficiency in Python or R for data analysis and automation.
• Experience working with financial services, trading, or FX data.
• Familiarity with data governance and data quality best practices.
• Knowledge of Agile methodologies and DataOps principles.
• Familiarity with Databricks or similar cloud platforms.
• Experience conducting market, competitor, or benchmarking analysis.
By joining us, you can expect:
• A Unique Opportunity for a career in a global, fast-growing company.
• Attractive
remuneration package
based on qualifications and experience.
• Opportunities to learn and grow through our “
Employee Training & Development program”.
• Hybrid Work Flexibility.
• Multiple
events
to bond with the team and the group.
• Birthday and Loyalty
benefits
.
What to expect from our recruitment process:
First interview with hiring managers or an HR call
Psychometric test
Final interview with top management
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Limassol, Cyprus
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Data Analyst
to mainly c
ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The
Data Analyst
will have the chance to:
• Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
• Support the implementation of data-driven solutions that improve business performance and operational efficiency.
• Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis.
• Ensure data accuracy and consistency through validation and quality checks.
• Work closely with BI team members to improve reporting processes and analytical capabilities.
• Stay up to date with industry trends, analytical techniques, and data visualization best practices.
What do you need to succeed in this role?
• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
• Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry.
• Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately.
• Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
• Experience gathering business requirements and translating them into reporting and analytical solutions.
• Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring.
• Hands-on experience with data visualization tools (Power BI preferred).
• Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas.
• Working knowledge of DAX and Power BI data modelling principles.
• Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Attention to detail, curiosity, and a proactive approach to solving business problems.
• Excellent command of English, both written and spoken.
• Strong teamwork and collaboration skills.
Will be considered as a plus:
• Experience with statistical analysis and A/B testing concepts.
• Basic knowledge of machine learning concepts and their business applications.
• Proficiency in Python or R for data analysis and automation.
• Experience working with financial services, trading, or FX data.
• Familiarity with data governance and data quality best practices.
• Knowledge of Agile methodologies and DataOps principles.
• Familiarity with Databricks or similar cloud platforms.
• Experience conducting market, competitor, or benchmarking analysis.
By joining us, you can expect:
• Unique Opportunity for a career in a global, fast-growing company.
• Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance).
• Opportunities to learn and grow through our “Employee Training & Development program”.
• Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care.
• Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.
• Participation in our welfare investment and savings plan through our Provident Fund Scheme.
• Birthday and Loyalty benefits.
• Collaboration with SportBenefit.
What to expect from our recruitment process:
First interview HR call
Task Assessment
Technical interview
Final interview with top management
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Tbilisi, Georgia
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Are you an experienced customer experience professional with leadership skills and a strong passion for being strategic and using insights to deliver exceptional service?
#WOLT-GEO-SA
Does leading support within one of Europe’s fastest-growing tech companies sound like your next adventure? If the answers to the questions are "yes" then keep reading!
Wolt is a Finnish technology company and we're best known for our delivery platform. On our mobile apps or website, customers can order their favorite meals from our restaurant partners. We launched in Georgia in April 2018 and have since then started conquering the food delivery scene in Tbilisi, Batumi, Rustavi and Kutaisi and other cities in Georgia.
As our team is growing, we're looking for a Support Manager to join our Shared Service Center team in Georgia! In our Support team there is no typical day. To be successful in this role you will need to be independent, customer-oriented, and have excellent interpersonal and relationship-building skills to provide best support to our Customers, Restaurants and Courier Partners. We are looking for someone who takes ownership beyond the obvious and who can take that extra step to support the team.
As our Support Manager you will lead our Shared Service Center team and inspire the high-quality standard of service that we provide to our customers and partners. With their excellent management skills, our Support Managers ensure that our Support Leads are running the operations between customers, restaurant partners and courier partners smoothly.
What you’ll be doing
Work together with the Head of Support and take full ownership of the experience and satisfaction of the customers and partners
Contribute to strategic initiatives and their execution in order to constantly improve the service proposition
Guide and coach the team in order to improve the associate’s performance, personal development and happiness
Implement new work procedures and features and encourage feedback around these
Analyze and optimize customer and partner touchpoints and look for patterns in incoming requests and workforce management to then put them into actions and improvements.
Together with the Content, Training and Quality team, develop the quality and content processes within the Support operations in line with the training operations
Collaborate closely with other teams to meet the needs of the customers and improve overall level of service.
Lead by example and show what customer-obsessed means: At Wolt, the Support Team knows that customer interactions serve a larger purpose than simply fixing problems. The Support Manager will lead by example and raise the bar for the way support is provided at Wolt.
Our humble expectations
You can formulate yourself very well, both verbally as well as in written form in English and Georgian.
You are customer obsessed and have experience in Customer Support or Customer Service.
You have 3-5 years of experience in leading a team, preferably leading a leadership team or other more senior team
You enjoy working together and leading a growing team, and making sure your colleagues always understand the purpose of what they do and what defines a great performance.
Multitasking is your strong suit and you’re prepared to manage multiple incoming interactions simultaneously, and effortlessly determine which to prioritise.
You are able to translate data into actions and make the rest of the core team understand how Customer Support is progressing, so you need to have good Excel skills.
You have a can-do attitude and are ready to roll up your sleeves and get to work in a fast-paced startup environment.
You have strong presentational skills and proficiency in Office tools
Any trainings or experience in people or project management are an advantage
A degree in Business Administration is a strong plus!
Next steps
If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going!
We will be reviewing applications on an on-going basis, so if this sounds like an opportunity you want to pursue, apply today!
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: San Francisco, CA | 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
We are seeking a Director, Technical Accounting – M&A to join our Finance team at Anthropic. In this role, you will support the company's accounting for mergers, acquisitions, strategic investments, and other complex capital transactions. You will report to the Senior Director, Technical Accounting – M&A
As Anthropic continues to scale rapidly and deploy capital into acquisitions, strategic investments, joint ventures, and novel commercial structures, you will be a key technical resource on structuring alternatives, consolidation outcomes, and financial statement impact. You will partner closely with Corporate Development, Legal, Tax, Treasury, FP&A, and leadership to ensure that deal economics are accurately reflected under US GAAP and that positions are defensible to external auditors, valuation specialists, and future regulators.
This is a builder role: you'll help operate and continuously sharpen the controls, valuation governance, and close-ready documentation expected of a large accelerated filer, working alongside the Senior Director as the function takes shape. If you thrive on being in the room when deals are shaped — and then making the accounting land cleanly — we want to hear from you.
In this role, you will:
Execute technical accounting for business combinations, asset acquisitions, joint ventures, and related financing/equity structures
Partner with and influence Corporate Dev to steer deal structures toward preferred terms and outcomes
Perform accounting due diligence on prospective transactions, advising Corporate Development and leadership on GAAP, control, and earnings implications before terms are finalized
Execute end-to-end purchase accounting — acquirer and acquisition-date identification, consideration measurement (contingent consideration, rollover equity, replacement awards), and recognition/measurement of assets, liabilities, and goodwill
Execute post-close integration accounting — conforming accounting policies, system/ledger onboarding, working capital true-ups, earn-out remeasurement, and push-down considerations
Assess and monitor consolidation and investment classification for investees and structured arrangements — VIE/primary-beneficiary analysis, reconsideration events, equity method, measurement alternative, and fair value through earnings — and support impairment and observable-price-change reviews
Manage third-party valuation specialists; review PPA, intangible asset valuations, contingent consideration fair values, and impairment analyses
Author and defend technical accounting policies & memoranda; partner closely with external auditors on M&A, investment, and consolidation matters
Partner with Tax on deal structuring and ASC 740/basis-difference impacts; with Treasury and Legal on equity, SAFE/convertible, and other financing instruments
Help refine the deal-accounting operating model — diligence checklists, Day-1 close playbooks, opening balance sheet procedures, measurement-period tracking, integration workplans, and SOX-ready controls over non-routine transactions
Prepare and review transaction-related disclosures for quarterly and annual filings, including pro forma financial information and significance testing
Present transaction accounting conclusions and financial statement impacts to leadership and cross-functional stakeholders in clear, decision-ready terms
Monitor standard-setting and SEC developments affecting business combinations, consolidation, and investments; support adoption and cross-functional education
You may be a good fit if you:
Have 10+ years of progressive accounting experience, including 4+ years owning complex M&A and strategic investment accounting transactions end-to-end
Hold an active CPA license
Bring significant Big 4 experience — ideally in a National Office, Transaction/Deal Advisory, or Capital Markets/Accounting Advisory group — paired with in-house experience at a high-growth or public technology company
Have contributed to multiple closed acquisitions and minority/strategic investments, including at least one transaction of meaningful scale or complexity
Possess deep command of US GAAP for business combinations, consolidation, equity method, and fair value measurement, with a track record of positions that withstand auditor and regulator scrutiny
Are fluent in valuation concepts and can direct and challenge third-party specialists on PPA, contingent consideration, and impairment models
Have operated within a deal-accounting or investments-accounting function, contributing to playbook and controls design
Communicate effectively with Corporate Development and Legal on structuring trade-offs, translating technical conclusions for cross-functional and senior stakeholders
Demonstrate exceptional written and verbal communication, translating complex deal accounting into clear business implications
Excel at hands-on technical execution in a fast-paced, ambiguous environment, partnering closely with the Senior Director on strategic judgment calls
Are proficient with accounting systems (Workday preferred), consolidation tools, and advanced Excel/modeling
Curious about and quick to adopt new AI tools, including Claude and Claude for Finance
Strong candidates may also:
Have deep, practitioner-level expertise in one or more of the following:
Business combinations and asset acquisitions (ASC 805), including contingent consideration, replacement share-based awards, and step acquisitions
Consolidation and investment classification (ASC 810, 323, 321), including VIE/primary-beneficiary analysis, basis differences, and the measurement alternative
Fair value measurement, acquired financial instruments, and goodwill/intangibles (ASC 820, 815, 825, 350, 360), including impairment testing and IPR&D
Have led accounting for carve-outs, divestitures, spin-offs, or legal-entity rationalizations, including standing up SOX-compliant controls over non-routine/complex transactions
Have prepared or reviewed pro forma financial information and registration-statement disclosures (Article 11 of Regulation S-X, S-X Rule 3-05/1-02(w) significance testing, S-1 processes)
Have experience with novel AI/technology deal structures — acqui-hires, IP/license-heavy transactions, data and compute arrangements, revenue-share partnerships, and strategic investor rights — and are passionate about leveraging AI to accelerate diligence, memo drafting, and close
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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:
$230,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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
Code RL at Anthropic drives reinforcement learning efforts behind Claude's coding capabilities, creating and scaling agentic coding environments. This is an engineering role with unusual latitude to set technical direction and standards.
You'll be part of a team solving the engineering side of research efforts such as embedding with research teams, getting up to speed on their systems and needs, and designing the frameworks, APIs, and infrastructure that let researchers move faster, then rotating off, leaving behind well-oiled systems those teams can understand, own, and maintain themselves. Your remit also includes the ongoing health of production RL runs: maintainable, monitored, and straightforward to triage.
The team's problem space spans the client side of sandboxed execution for agentic RL environments, large-scale data processing jobs, the lifecycle of production datasets, and the frameworks researchers build environments on. You won't own all of this yourself, you'll take on the slices where your depth matters most. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and hard-won intuition for how complex systems fail — especially silently. You should be comfortable diving into messy research code, finding the load-bearing abstractions, and improving them incrementally while researchers continue to build on top of your work.
Key responsibilities
Design widely-used APIs, frameworks, and abstractions that other engineers and researchers build on, with careful attention to interface legibility and principled defaults
Embed with research teams on a rotational basis: understand their engineering needs, build systems and APIs that support their work, and transfer ownership so teams can maintain those systems after you rotate off
Work directly in research codebases, improving reliability and structure without slowing down the research they support
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that shrink the surface area for bugs
Contribute to the reliability of production RL systems, including monitoring, regression detection, and triage tooling
Help define engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant Python code
A track record of designing intuitive, safe APIs or frameworks that other engineers or teams adopted and built on
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Demonstrated ability to anticipate failure modes — especially silent ones — and prevent them structurally through system design, type safety, and testing
Strong written and verbal communication skills, including the ability to explain system designs to collaborators with varied engineering backgrounds
Comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows
Familiarity with reinforcement learning concepts, agentic systems, or LLM training pipelines
Experience building or operating large-scale distributed systems
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing or dataset lifecycle management
Experience designing plugin systems or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams, including successfully handing off systems for others to own
Experience defining code standards, lint rules, or static verification approaches adopted across multiple teams
Prior experience as a technical lead, or setting engineering standards for a team
Prior experience maintaining an open source project
Representative projects
These are examples of the challenges the team tackles; no one person will work on all of them:
Design a base RL environment abstraction general enough to be subclassed across a wide range of environments
Design a model-tool interface for sandboxed agentic environments that has explicit serialization semantics
Partner with the platform teams that own the sandbox runtime to specify low-level features that improve the integrity of agentic coding tasks
Design probes that catch sandbox regressions early
Design the lifecycle and maintenance scheme for a production dataset
Lead a research code refactor replacing loosely structured data containers with equivalents that carry stronger correctness guarantees, without breaking the experiments that depend on them
Design lint rules and code-style requirements that favor statically verifiable patterns — including patterns less likely to be overlooked by an LLM reviewing or writing the code — to shrink the surface area for silent bugs
Build the access layer that lets researchers discover and reuse data artifacts across teams
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
—
$625,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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
Anthropic's Environments organization builds and maintains the infrastructure that improves Claude’s capabilities through reinforcement learning. That includes the frameworks researchers use to build environments and the infrastructure responsible for running them. The team's mission is to productionize research. You'll embed with research teams, get up to speed on how they work, and design the frameworks and APIs that let them move faster, building systems the team can understand, own, and maintain themselves. Scope also includes keeping production RL runs healthy, maintainable, monitored, and easy to triage.
You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and good intuition for how complex systems fail, especially silently. It's a bonus if you've built and operated a stateful distributed system, such as a workflow engine, actor framework, or durable-execution runtime, where correctness depends on getting shared state and recovery right. You should be comfortable diving into messy research code, finding the abstractions that matter, and improving them incrementally while researchers continue to build on your work. You should also be comfortable using AI tools to accelerate your own development, but have an impulse towards deep verification.
Key responsibilities
Design widely used APIs, frameworks, and abstractions that other engineers and researchers build on, making correct usage the default and ruling out entire classes of errors structurally
Own the platform layers that sit beneath every environment, including the agent runtime
Build the tooling that lets environment owners understand, debug, and maintain their environments in production without needing an infrastructure engineer in the loop
Embed with research teams on a rotational basis, work directly in their codebases without slowing down the research they support, and transfer ownership when you rotate off
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that reduce the room for correctness issues
Drive adoption of new frameworks across the organization, including deprecations and cutovers
Help define the engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant code
Strong taste in API and framework design, the ability to explain why an interface is right or wrong rather than just recognizing it, and a track record of other engineers or teams adopting and building on frameworks you have built
Experience designing or operating stateful concurrent or distributed systems, and reasoning carefully about failure, retries, idempotency, and consistency
A habit of verification: you measure before you conclude, and you build the checks that let a system show it's correct
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Strong written and verbal communication with collaborators of varied engineering backgrounds, and comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines
Experience building agent frameworks, orchestration engines, or multi-agent systems, including checkpoint and restore, replay, and coordination of long-running stateful processes
Experience using AI coding tools on code where correctness matters, with good judgment about what to delegate and how to make the results verifiable
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing, dataset lifecycle management, or data lineage systems
Experience designing serialization schemes, plugin systems, or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams and handing off systems for others to own, or defining code standards adopted across teams, or prior experience as a technical lead
Representative projects
These are examples of the challenges the team tackles:
Design a base RL environment abstraction that can be subclassed to support the large majority of environments built across RL
Redesign the model-tool interface for sandboxed agentic environments so that state is guaranteed to survive serialization, making it structurally impossible to write a tool that silently loses state
Design the state-sharing and recovery model for multi-agent workloads, so that losing a sandbox partway through a task becomes a transparent resume rather than lost work
Define the failure and retry model for a sandboxed execution platform, distinguishing infrastructure faults from genuine task outcomes so that each is handled correctly
Build the tooling that lets an environment owner diagnose why their environment is unhealthy in a production run, and fix it themselves
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
—
$605,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio's next Senior Architect for Emerging Technologies Experimentation Team.
About the job
This position is needed to drive next-generation innovation by designing, prototyping, and implementing forward-looking technical solutions for Twilio’s innovation team.
As an Sr Architect, you’ll leverage your depth of technical knowledge, architectural vision, and leadership to pioneer transformative ideas. This high-impact, entrepreneurial role empowers you to shape the future of Twilio, experiment with emerging technologies, and directly influence our trajectory in a competitive tech landscape. You will be the bridge to guide technical decisions that ensure our experiments can be quickly moved to production, if successful. This role is accountable for ensuring they understand Twilio’s enterprise architecture and can help ensure scalability, extensibility in our technical design as well as call out one way door decisions when defining architectures.
Welcome to Twilio's
Experimentation Team
, the incubation lab where we push boundaries, unlock next-era growth, and turn the once-unimagined into reality.
As part of our Emerging Tech team, you will pioneer Horizon-3 initiatives that fundamentally redefine how humanity interacts with artificial intelligence.
From launching Ola, the world’s first agent-native communication channel, to engineering the ground-breaking Agent-to-Human (A2H) protocol, we are actively building the control room for the autonomous future. If you are a builder driven to disrupt the status quo, reimagine what’s possible, and engineer what comes next, your journey starts here.
Responsibilities
In this role, you'll:
Architect and prototype scalable, high-performance solutions using modern technologies.
Experiment and iterate on new product ideas, leveraging AI, machine learning, and emerging tech.
Lead technical direction, guiding and mentoring engineering teams throughout the development lifecycle.
Partner cross-functionally to align prototypes with business opportunities and strategic goals.
Mentor a group of software development engineers across US and India
Communicate technical vision and results clearly to stakeholders and executive leadership.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
15+ years in architecture or principal engineering roles within innovative, fast-paced environments.
Applied fraud detection and governance framework experience.
Familiarity with AI, machine learning, and LLMs with experience deploying models or AI-driven projects.
Demonstrated success designing large-scale, high-performance architectures across AWS & Azure.
Strong leadership and mentoring skills, with proven ability to drive technical direction.
Excellent communication skills for both technical and non-technical audiences.
Proficiency in multiple programming languages (e.g., JavaScript, Python, Java, Go).
Experience with both front-end (React, Angular) and back-end (Node.js, Spring, SpringBoot) development.
Deep understanding of database technologies (SQL and NoSQL) and their tradeoffs.
Desired:
Experience contributing to open source or tech innovation communities.
Track record of rapid prototyping and iterative product development.
Exposure to distributed systems and high-reliability platforms.
Knowledge of risk management best practices in experimental projects.
Experience working with global teams and remote-first environments.
Entrepreneurial mindset with a passion for emerging technologies.
Advanced problem-solving skills with ability to anticipate technology trends.
Background in engineering and technical architecture roles.
Location
This role will be remote and based in the United States.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5% travel is anticipated to help you connect in-person in a meaningful way.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $284,320 - $355,400.
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $292,080 -- $365,100.
Based in the San Francisco Bay area, California: $324,480 - $405,600.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Application deadline information
Applications for this role are intended to be accepted until January 1 2027 but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: San Francisco, CA
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're standing up a dedicated executive support function within IT, and we're hiring the IT Support Engineer who will build it. IT Support is the front door for every employee technology need at Anthropic, and this role creates its most visible lane: white-glove support for our executives, their administrative business partners (ABPs), and our board.
You'll define what that service looks like: the support model for execs, board, and ABPs, the runbooks behind it, the intake and escalation paths, and the trusted relationships with ABPs and exec staff that make it work. You'll set the bar for discretion and polish as you go. You'll also be the person our leadership reaches when technology gets in the way. The requests that land in this lane range from routine to highly sensitive, and many arrive urgent: an executive locked out minutes before a meeting, an AV issue in a room full of leadership, a board member who needs setup handled quietly and correctly the first time. You own the request end to end and pull in specialist functions or IT Engineering pods as needed.
Responsibilities
Stand up the executive support intake channels and run it: monitor, respond, and follow through on every request from executives, ABPs, and board members
Define the white-glove service model for discretion-sensitive asks and deliver to it, holding confidentiality under pressure
Design the board-meeting AV support playbook with the AV pod, and provide AV support for executive rooms and board meetings, from setup and pre-checks through live triage
Create exec-support runbooks and SLAs that keep the service consistent as it grows
Build trusted relationships with ABPs and executive staff, and establish clear intake paths so leadership knows exactly where to go
Handle ABP escalations and exec-urgent issues calmly, and route into specialist lanes or IT Engineering pods when a request needs them
Establish the board member device, account, and access setup process with our Onboarding lane
Work the shared ticket queue with the SF Core team: walk-ups, desk-side help, hardware swaps, it-assist overflow, and AV T1 triage
Participate in the Core on-call rotation and contribute to the knowledge base and runbooks
Maintain a regular on-site presence in San Francisco
You may be a good fit if you have
7+ years of experience in IT support and 3+ years in executive support
Experience standing up a service or program from scratch, such as an executive support desk, a VIP support function, or a white-glove service
Experience supporting executives, their assistants, or a board to a white-glove standard
A track record of handling sensitive requests with discretion, and the judgment to know what stays confidential without being told
Strong hands-on IT support fundamentals: macOS-primary fleets, identity and access, SaaS troubleshooting, hardware lifecycle
AV fluency for executive rooms and board meetings: you can set up, verify, and fix a room under time pressure
Composure when an urgent escalation lands, and the judgment to know when to pull in help
High polish and low ego: you take pride in service quality and still pick up whatever the team needs, including the ordinary queue work
A security-first mindset and excellent judgment about when user experience yields to security requirements
Comfort with ambiguity: you can make progress before the process exists, and you enjoy shaping how things should work
The instinct to write things down: runbooks, KB articles, and status updates that keep people informed
Nice to have
Experience supporting a C-suite or board of directors at a company with significant security or compliance requirements
AV depth beyond first response, such as broadcast, live events, or room design input
Experience building runbooks, self-service content, or support automation
Experience supporting AI/ML research environments or highly technical user bases
Deadline to apply: None. Applications will be received on a rolling basis.
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:
$180,000
—
$265,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
If the idea of contributing to the critical and core services that drive the fundamental functioning and building blocks of data processing involved in our data pipelines, this opportunity fits you well. As an engineer on the core team, you will design, implement, and maintain the central parts of our data pipelines needed to operate the best-in-class reliable, secure, and scalable data movement. You will prioritize the quality, efficiency, and reliability of the responsibility areas of the team while collaborating effectively with other peers and the rest of the engineering organization. The ideal candidate exhibits exceptional technical skills, meticulous attention to detail, creativity, motivation, and a results-oriented mindset.
This is a full-time hybrid position based out of our Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Java17, JUnit5
Docker and Kubernetes
AWS, GCP, Azure
SQL, BigQuery
Bazel, BuildKite
What You’ll Do
Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud
Develop, maintain, and test code
Conduct design and code reviews
Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability.
Understand and fix challenges related to performance and scalability.
Participate periodically in on-call rotation
Participate in the hiring process
Mentor Junior developers
Make Fivetran the most reliable and secure component of our customers’ data infrastructure
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems.
Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices.
Experience working with distributed systems
Demonstrated ability to write well-structured and performant code
Ability to lead software design to satisfy project requirements
Experience in code reviews, design, troubleshooting and testing
Experience programming in an object oriented / systems language such as Java, C++, C# etc
Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s
Experience interacting with continuous integration tools like Buidkite
Bonus Skills
Knowledge of observability tools like New Relic/Grafana is a plus
Knowledge of AI tools and usage is a plus
#LI-HYBRID #LI-EM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$174,915
—
$209,906.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: New York, NY, United States
About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
Platform Storage is a core platform engineering team specializing in stateful infrastructure (PostgreSQL/RDS, Kafka (MSK), MongoDB, DynamoDB, and Elasticache/Valkey) for Fanatics Betting & Gaming. We own database and streaming reliability for dozens of product engineering teams, acting as both platform builders and embedded technical partners. Our core toolset is Python, Terraform, and SQL, with a focus on self-service tooling, GitOps managed infrastructure, and hands-on ownership of production systems.
About the Role
Fanatics Betting & Gaming (FBG) is seeking a Staff Platform Storage Engineer to join our Platform Storage team, based in the United States. This role owns a critical slice of our core platform infrastructure, including a portfolio of production PostgreSQL databases and our Kafka/MSK streaming platform, and acts as the embedded platform liaison for the product teams built on top of them.
As a Staff Engineer, you will operate with a high degree of autonomy, leading complex database and streaming infrastructure initiatives, setting standards for reliability and performance, and acting as the go to technical resource for schema design, query performance, and incident response across the teams you support.
Responsibilities
Own database liaison responsibility for a portfolio of production PostgreSQL/RDS instances — query review, schema change approval, performance tuning, and incident triage for the teams built on top of them.
Operate and evolve our Kafka/MSK streaming platform: topic lifecycle management via GitOps, cluster health across environments, and CDC (Debezium) pipeline reliability.
Build and maintain self-service tooling that lets product teams provision database and streaming resources without a manual ticket queue.
Drive platform stability projects — operator/version upgrades, root-cause fixes for recurring operational issues, and proactive capacity/cost optimization across the database and streaming fleet.
Act as the technical escalation point for cross-team incidents where the root cause traces back to shared platform infrastructure (replication lag, connection exhaustion, CPU/throughput issues).
Represent Platform Storage in cross-org infrastructure initiatives and standardization efforts.
Mentor engineers and participate in on-call rotations.
What You Bring
Strong, hands-on Python — a primary tool of the role, not incidental. 5+ years using Python day-to-day is a strong signal.
8+ years of experience in platform, infrastructure, or database engineering, with deep hands-on experience operating and running PostgreSQL (RDS) in production at scale — this is an infrastructure-ownership role, not an application-development role that happens to use Postgres.
Strong experience operating Kafka (MSK or self-managed) in production, including topic management and CDC/event-streaming pipelines.
Strong SQL fluency — comfortable diagnosing query performance issues and reviewing schema changes for teams you don't sit inside of.
Working knowledge of Infrastructure as Code (Terraform).
Experience owning production database reliability across multiple downstream teams simultaneously — able to prioritize across a portfolio, not just one system.
Strong cross-team communicator; this role is equal parts infrastructure engineering and technical partnership with the teams you support.
Nice to Have
Experience with GitOps-managed Kubernetes operators (Strimzi or equivalent) for stream infrastructure.
MongoDB or DynamoDB operational experience.
Experience with pgbouncer, connection pooling, and query-level performance diagnostics.
Prior work on platform cost optimization initiatives at multi-cluster scale.
Exposure to regulated or high-availability environments (gaming, fintech, or similar).
Who Thrives Here
Operates with a high degree of autonomy and ownership, leading complex initiatives with limited direction.
Comfortable influencing without authority and driving technical clarity in ambiguous problem spaces.
Communicates effectively across regions and time zones (US, UK, Ireland).
Cares about platform reliability, developer experience, and long-term system health.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
#LI-VG1
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$172,800
—
$216,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: Los Angeles, USA; Mercer Island, USA
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As an Engineering Manager, you’ll guide an engineering team through all the phases of the software development and operations lifecycle. You’ll also serve as a people manager, mentor, and coach for the engineers, overseeing performance management, growth opportunities, and accountability.
The Core Game Loop owns services that power the player experience while they are in game and deliver data to downstream services after a game is completed. This includes game provisioning, game data delivery, and services that power leaderboards and match history. By concentrating expertise in game platforms, we are able to offer robust, scalable features to all current and future Riot games. As a
Manager, Software Engineering
on the Core Game Loop team, you will partner with the teams that create every Riot game, central technology teams, and teams in Tencent to ensure we are making excellent decisions, upholding a high quality bar, and operating efficiently in service of those players. You'll identify opportunities to centralize functionality and architect solutions that enable scalability and reliability worldwide. You will report to the Senior Engineering Manager of the Game Foundations org within the Publishing Platform.
Responsibilities
Manage a team of 5+ software engineers; coaching them, providing performance management, identifying growth opportunities, and ensuring positive results
Partner and collaborate with Product Leads, Delivery Leads, and Technical Leads within the team and within Game Foundations org to align on the plan the team executes against
Support the technical vision and roadmap by allocating engineers and skill sets to meet goals and deliver results
Own the interviewing and onboarding process for new engineering team members
Be accountable for the technical health of the products owned by the team
Stay hands-on with the team's tech, overseeing the technical design, and deliverables of the team and working with the team's technical leadership
Regularly engage with the codebase by participating in code reviews and non-critical tasks
Build healthy relationships with other engineering teams across Riot globally, in order to foster cross-team collaboration
Own and operate live services, meeting reliability expectations, handling emergent issues, and supporting engineers during on-call troubleshooting
Required Qualifications
Bachelor's or Master’s degree in Computer Science or a related field, or equivalent professional experience
5+ years experience as a Software Engineer, preferably on technical product teams that build tooling for services and APIs
2+ years experience directly leading an engineering team either as an Engineering Manager or Technical Lead
Experience managing engineers and actively participating in their growth and development
Experience recruiting candidates and growing an engineering team
Experience with distributed systems, microservices, and software at a high scale
Experience operating and maintaining live services, including handling emergent issues and on-call troubleshooting
Desired Qualifications
Experience building services using Java, Kotlin, or Go
Experience developing using cloud infrastructure (such as AWS, GCP), using containers and orchestration (such as Docker, Kubernetes), managed using infrastructure as code (such as Terraform, Ansible)
Experience with CI/CD pipelines (such as GitHub Actions, Jenkins)
Experience with relational databases (such as MySQL) and key value stores (such as Redis).
Experience with queuing or stream-processing platform (such as Kafka)
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
География найма не уточнена
London
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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УдалённоBarcelona, Spain; OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply
УдалённоseniorNew York
УдалённоUnited States; Phoenix; Seattle; California; Denver; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
Tallinn, Estonia
Warsaw, Poland
Limassol, Cyprus
Tbilisi, Georgia
San Francisco, CA | Seattle, WA
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY
УдалённоseniorRemote - US; Compensation for candidates in other locations will be discussed during the hiring process
San Francisco, CA; Maintain a regular on-site presence in San Francisco
Oakland, California, United States, AMER
New York, NY, United States; Communicates effectively across regions and time zones (US, UK, Ireland)
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