Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
You will have the opportunity to join a team responsible for designing the industry's leading Crypto trading system, including Spot, Margin, Perpetuals, Futures, Options, and various risk control models such as simple account, single-currency margin, multi-currency margin, and portfolio margin.
This system supports daily trading volumes of over ten billion USD for both retail and institutional clients.
What You’ll Be Doing
The plumbing of the exchange.
Order management, matching, margin, risk engine, lending/borrowing — across both spot and derivatives. When you ship, millions of trades route through your work the same day.
Infrastructure that holds up where others can't operate.
You'll work directly with Legal, Compliance, and local market teams — not to check boxes, but to design systems that clear the highest regulatory bar in finance. That bar is our moat.
Outlearning the competition.
Talk to traders, take apart competing systems, and decide where we lead vs. fast-follow — across crypto and TradFi.
The instruments that show us the market first.
Build the data and monitoring layer that gives us situational awareness of our own stack and the broader industry. If something's drifting, breaking, or shifting — you know before anyone else.
The 3–12 month direction.
Decide what we build next, and when, based on product lifecycle, competitive landscape, and what our capacity actually is — not what makes the deck look good.
Shipping through.
From spec to launch, you're the person who gets it out the door — pulling engineering, design, ops, and marketing into alignment without becoming the bottleneck.
The AI harness and agent architecture for your domain.
Design and ship multi-step agent workflows — tool use, retrieval, evaluation, human-in-the-loop checkpoints — that power how Core Trading operates. Spec agents the way you spec products.
What We Look For In You
Bachelor's degree or above in mathematics, physics or computer science major.
5+ years experience in building sophisticated backend systems in either crypto or Traditional Finance industry.
AI native skillset that allow you to ship at 10x because you automate the work flow first.
Possess rigorous logical thinking, excellent teamwork, communication skills and be able to coordinate resources to solve problems and achieve goals between different departments.
You possess a strong interest in trading, blockchain and the financial industry.
You are proactive, enthusiastic and sensitive to customers' feedback from a product lens.
Fluent in English and Mandarin (to communicate with Mandarin speaking clients / cross-teams).
Nice-To-Haves
Trading experience in sophisticated institutions.
Excel in quantitative research with various mathematics tools.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
You will have the opportunity to join a team responsible for designing the industry's leading Crypto trading system, including Spot, Margin, Perpetuals, Futures, Options, and various risk control models such as simple account, single-currency margin, multi-currency margin, and portfolio margin.
This system supports daily trading volumes of over ten billion USD for both retail and institutional clients.
What You’ll Be Doing
The plumbing of the exchange.
Order management, matching, margin, risk engine, lending/borrowing — across both spot and derivatives. When you ship, millions of trades route through your work the same day.
Infrastructure that holds up where others can't operate.
You'll work directly with Legal, Compliance, and local market teams — not to check boxes, but to design systems that clear the highest regulatory bar in finance. That bar is our moat.
Outlearning the competition.
Talk to traders, take apart competing systems, and decide where we lead vs. fast-follow — across crypto and TradFi.
The instruments that show us the market first.
Build the data and monitoring layer that gives us situational awareness of our own stack and the broader industry. If something's drifting, breaking, or shifting — you know before anyone else.
The 3–12 month direction.
Decide what we build next, and when, based on product lifecycle, competitive landscape, and what our capacity actually is — not what makes the deck look good.
Shipping through.
From spec to launch, you're the person who gets it out the door — pulling engineering, design, ops, and marketing into alignment without becoming the bottleneck.
The AI harness and agent architecture for your domain.
Design and ship multi-step agent workflows — tool use, retrieval, evaluation, human-in-the-loop checkpoints — that power how Core Trading operates. Spec agents the way you spec products.
What We Look For In You
Bachelor's degree or above in mathematics, physics or computer science major.
5+ years experience in building sophisticated backend systems in either crypto or Traditional Finance industry.
AI native skillset that allow you to ship at 10x because you automate the work flow first.
Possess rigorous logical thinking, excellent teamwork, communication skills and be able to coordinate resources to solve problems and achieve goals between different departments.
You possess a strong interest in trading, blockchain and the financial industry.
You are proactive, enthusiastic and sensitive to customers' feedback from a product lens.
Fluent in English and Mandarin (to communicate with Mandarin speaking clients / cross-teams).
Nice-To-Haves
Trading experience in sophisticated institutions.
Excel in quantitative research with various mathematics tools.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
You will have the opportunity to join a team responsible for designing the industry's leading Crypto trading system, including Spot, Margin, Perpetuals, Futures, Options, and various risk control models such as simple account, single-currency margin, multi-currency margin, and portfolio margin.
This system supports daily trading volumes of over ten billion USD for both retail and institutional clients.
What You’ll Be Doing
The plumbing of the exchange.
Order management, matching, margin, risk engine, lending/borrowing — across both spot and derivatives. When you ship, millions of trades route through your work the same day.
Infrastructure that holds up where others can't operate.
You'll work directly with Legal, Compliance, and local market teams — not to check boxes, but to design systems that clear the highest regulatory bar in finance. That bar is our moat.
Outlearning the competition.
Talk to traders, take apart competing systems, and decide where we lead vs. fast-follow — across crypto and TradFi.
The instruments that show us the market first.
Build the data and monitoring layer that gives us situational awareness of our own stack and the broader industry. If something's drifting, breaking, or shifting — you know before anyone else.
The 3–12 month direction.
Decide what we build next, and when, based on product lifecycle, competitive landscape, and what our capacity actually is — not what makes the deck look good.
Shipping through.
From spec to launch, you're the person who gets it out the door — pulling engineering, design, ops, and marketing into alignment without becoming the bottleneck.
The AI harness and agent architecture for your domain.
Design and ship multi-step agent workflows — tool use, retrieval, evaluation, human-in-the-loop checkpoints — that power how Core Trading operates. Spec agents the way you spec products.
What We Look For In You
Bachelor's degree or above in mathematics, physics or computer science major.
5+ years experience in building sophisticated backend systems in either crypto or Traditional Finance industry.
AI native skillset that allow you to ship at 10x because you automate the work flow first.
Possess rigorous logical thinking, excellent teamwork, communication skills and be able to coordinate resources to solve problems and achieve goals between different departments.
You possess a strong interest in trading, blockchain and the financial industry.
You are proactive, enthusiastic and sensitive to customers' feedback from a product lens.
Fluent in English and Mandarin (to communicate with Mandarin speaking clients / cross-teams).
Nice-To-Haves
Trading experience in sophisticated institutions.
Excel in quantitative research with various mathematics tools.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Reading, United Kingdom
Job Description
P.I. Works is the first company in the world to automate the management of a commercial 5G network.
Our automated network management products and services empower mobile operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across more than 87 mobile operators in 60 countries around the world.
Our success is built by our people that strive for excellence and deliver great value to our customers.
At the core of our success are a culture built on integrity, trust, and respect. We are looking for a Network Data Solutions Delivery Engineer to perform mobile network product delivery projects, with a focus on next-generation optimization techniques using our Network Automation Solutions. This role involves active daily works and engagement with customers and internal teams, with ownership of project deliverables.
This is an in-office position based in
Reading/Newbury
.
Responsibilities:
Work closely with customer mobile network teams on network performance monitoring, analysis, and reporting.
Provide onsite and remote support to the customer, and channel field feedback to the product, integration, and support teams.
Build custom dashboards and automated reports covering key network and business KPIs across multiple use cases.
Participate in technical meetings, monitor product performance, and track customer requirements.
Prepare and issue technical guidelines and the findings of technical studies.
Prepare and issue both engineering-level and executive-level reports.
Required Qualifications:
Understanding of telecom domain KPIs and parameters across Radio, Core, and Transmission.
Previous experience at Vodafone UK or Three UK within Service Assurance or Quality Reporting functions is a plus.
Strong SQL skills, including the ability to write complex queries, plus understanding of data mediation platforms.
Experience administering or as a power user of umbrella performance management or service assurance products (e.g., Optima/Helix, PrOptima, PRS, Eniq) is a plus.
Excellent customer-facing communication skills, both verbal and written.
Experience with OEM vendor EMS/OSS systems, including managed objects, parameters, and measurements is a plus.
Experience with reporting and BI tools (e.g., Power BI, Tableau, QlikView) is a plus.
UK residency and the right to work in the UK.
Location: Poland; Georgia; Serbia; Bulgaria
We are looking for a
Senior Full Stack Engineer
who is comfortable working on high-load, distributed systems and making architectural decisions, not just implementing tasks.
At MMDSmart, you will work on a CPaaS/CCaaS platform handling messaging and voice communication at scale. This is not a typical CRUD product: you’ll deal with real-time flows, external integrations, billing complexity, and systems where design mistakes surface quickly in production.
You will be expected to take ownership from design to delivery and challenge assumptions when needed.
Since 2007, MMDSmart has been a
leading supplier in cloud-based business communications
, delivering game-changing IT products to businesses in over 100 countries. Our success is fueled by the inspiration and innovative ideas of our team members, encouraging their growth and impacting our Messaging and
Voice solutions
. These empower our clients to communicate more effectively with their customers. Don’t miss this chance to excel in a rapidly expanding tech company, where your potential and ambitions are not just recognized, but celebrated.
Requirements
What will you do at MMDSmart?
Design and implement new platform capabilities across backend and frontend (not just “features” but system-level improvements);
Contribute to architecture decisions in a microservices environment (Go-based services, event-driven patterns, APIs);
Build and evolve React-based interfaces used by enterprise customers and internal teams;
Work on integrations with external vendors (messaging providers, voice, billing systems);
Investigate production issues in a high-scale environment and drive them to resolution—not just patch them;
Participate in technical discussions, trade-off analysis, and system design reviews;
Occasionally lead initiatives or own a domain end-to-end.
You are a perfect match if you have:
4+ years of real production experience as a Full Stack Engineer;
Strong backend expertise with Go (3+ years), not just syntax, but concurrency, performance, and system design;
Solid frontend experience with React + TypeScript (2+ years);
Experience building or maintaining distributed systems / microservices;
Good understanding of data modeling (SQL + NoSQL) and when to use each;
Ability to debug complex issues across services (not limited to your own code);
Comfortable working in an environment where requirements evolve and not everything is predefined.
Will be a plus:
Experience with real-time systems, messaging, or telecom domains;
Familiarity with event streaming (Kafka or similar);
Experience with cloud platforms (GCP preferred);
Exposure to billing systems or high-throughput APIs.
What you get:
Work on systems that actually operate at scale and have real business impact;
A team where senior engineers are expected to influence architecture, not just execute;
Remote work.
Benefits
Why do talents choose and stay at MMDSmart?
Embrace the opportunity to work in a company that cares about:
Your Wellness:
Access to mental health programs, comprehensive medical insurance, and a sports card*.
Your Happiness:
Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts.
Your Development:
Benefit from free educational events & courses, and English classes with native speakers.
Your Career:
Focus on your professional development in a supportive environment.
Work-Life Balance:
Choose your working format - remote, office-based, or hybrid and engage in team-building activities.
Think this role's got your name on it? Go ahead and apply, we'd love to see what you've got!
Equal-Opportunity Employment
We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
*Medical Insurance and Sport Card perks are available for employees located in Bulgaria.
Location: Strava SF
Workplace: Hybrid
ABOUT STRAVA
Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today.
Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.
ABOUT THIS ROLE
Strava's AI/ML team builds the intelligence that shapes what each athlete sees and experiences — from ranking and recommendations to the next generation of generative AI features across the app. As we deepen our investment in AI-powered products, we're looking for a Staff PM to own the strategy for ranking, recommendations, and personalization: a high-impact surface with significant value to unlock.
In this role, you'll define the product vision for personalization across Strava's core experiences, partner deeply with ML engineering and data science to turn model capabilities into products athletes love, and contribute to Strava's broader generative AI strategy. You'll operate with a high degree of autonomy, set direction for a domain, and work across Product, Engineering, and Design to bring the most important bets to life.
We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office, three days per week.
WHAT YOU'LL DO
- Define and own the domain strategy and roadmap for ranking, recommendations, and personalization across Strava's core athlete experiences.
- Identify and prioritize high-value GenAI and ML product opportunities across the app, and build a pipeline of bets that connect to company-level priorities.
- Partner closely with ML engineering and data science to translate model capabilities, evaluation criteria, and technical trade-offs into clear, shippable product decisions.
- Build and drive experimentation and measurement frameworks that demonstrably improve relevance, engagement, and athlete outcomes.
- Align stakeholders across Product, Engineering, and Design on strategy and priorities, resolving ambiguity and keeping complex initiatives moving.
- Contribute to the broader AI/ML product strategy, including identifying where generative AI can meaningfully improve the athlete experience across Strava's surfaces.
WHAT YOU'LL BRING TO THE TEAM
- Substantial product management experience, including meaningful time shipping ML-powered products such as ranking, recommendations, personalization, search, or feeds at scale.
- Deep fluency in modern ML and generative AI — enough to engage substantively with engineers and data scientists on models, evaluation, and data pipelines, and to make sound product trade-offs.
- A track record of owning domain-level strategy end-to-end, not just executing within a defined roadmap.
- Strong experimentation and measurement instincts, with demonstrated ability to use data to drive measurable improvements in relevance and engagement.
- The ability to align and influence senior stakeholders across functions without authority, and to bring clarity to complex, ambiguous problem spaces.
- A low-ego, partnership-oriented approach to working with technical and design partners.
- Experience productizing emerging or research-stage capabilities into reliable, user-facing features is a plus.
For more information on benefits please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub.
WHY JOIN US?
Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.
Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.
When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.
Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.
Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub
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 the Role
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.
We’re looking for a talented Senior Software Engineer with a passion for building enterprise grade software to join the team. You will be focusing on developing world-class enterprise capabilities and features in support of our largest and most sophisticated customers. The work we do is both highly visible and critically important to the long term growth and success of Fivetran. You will have an impact across the entire product as we develop our next generation of enterprise, data governance, and solutions engineering offerings.
This team is tasked with ensuring a high quality of Fivetran systems using AI and other advanced tools.. The role will challenge you to solve problems in the domains of performance engineering, data security, and cluster orchestration. You don’t necessarily need to be a subject matter expert before you join us (you will be one before you leave!).
We're looking for people who can understand the key values that make our product great and implement those values in the many small decisions you make every day.
This is a full-time 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
Java
SQL
Bazel, BuildKite, Docker, Kubernetes, Github
AWS, GCP, Azure
Postgres database
AI Tools
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
Bachelor's degree, preferably in Software Engineering or Computer Science
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 and infrastructure 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
Knowledge of observability tools like New Relic/Grafana is a plus
Knowledge of AI tools and usage is a plus
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based platforms.
#LI-HYBRID #LI-DJ1
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: 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
Anthropic is seeking an exceptional Legal Program Manager to serve as the operational backbone of contracting for the Compute and Infrastructure team. We'll rely on you to manage a high volume of procurement and vendor agreements — including datacenter colocation, lease, and build-to-suit agreements; hardware, chip, and network-equipment procurement; and construction, facilities, and operations-and-maintenance (O&M) contracts — along with the NDAs, order forms, SOWs, and amendments that surround them. You will build the scalable contracting processes — templates, playbooks, intake and approval workflows, and contract lifecycle management — that let the business move at the speed of Anthropic’s infrastructure buildout. This role owns the system, throughput, and visibility that move every agreement from intake through signature.
Key responsibilities
Coordinate and shepherd a high volume of compute and infrastructure procurement transactions — datacenter colocation, lease, and build-to-suit agreements; hardware, chip, and network-equipment procurement; construction/EPC and facilities/O&M agreements; and the supporting NDAs, order forms, SOWs, and amendments — driving each from intake through signature
Own and administer the contract lifecycle management system: workflow design and configuration, templates, approval routing, signing and archive and integrity hygiene
Design and run intake and triage: how requests enter, how they are prioritized, and how they route to the right owner
Propose and develop scalable solutions to improve contracting efficiency and throughput across the infrastructure vendor base
Collaborate with business units and legal team members to streamline contract management processes, manage post-signature obligations and renewals across the infrastructure vendor portfolio, identify potential risks, and drive continuous improvement in contract handling efficiency
Partner closely with the Compute and Infrastructure, Product, Finance, Security, Business Operations, and Procurement Ops teams to achieve key business objectives and deliver strategic, business-minded, and solutions-focused counsel
Build reporting, dashboards, SLAs, and the metrics that surface turnaround times and bottlenecks across the infrastructure vendor portfolio
Deploy LLM and AI tooling to scale contracting throughput and reduce manual handling
Minimum Qualifications
Experience operating in a fast-paced technology startup in which priorities shift rapidly and schedules "move to the left," thriving in this dynamic environment and priding yourself on your adaptability and ability to pivot with speed and grace
Initiative and autonomy in managing complex contractual matters, effectively prioritizing competing deadlines
An understanding of what's important in the context of a contract, the organization's mission, and enough contract fluency to triage and route requests, track obligations, and pull in relevant legal counsel
Excitement to grow with an organization and help shape the culture of the commercial function
A preference for straightforward, concise explanations over legalese and overwrought drafting
A knack for identifying and implementing efficient processes and policies
The ability to thrive as a member of cross-functional teams building frontier technologies, with a desire to develop a deep understanding of the Compute & Infrastructure teams and the datacenter, hardware, and network systems they build and operate
Comfort operating outside your areas of expertise and in uncharted legal territory
A "doer" mentality, willing to roll up your sleeves to get things done as a team player who doesn't hesitate to jump in to do work that needs to get done, whether glamorous or not
Hands-on experience with contract lifecycle management or legal-operations tooling, process design, and working from data, metrics, and dashboards
Comfort using AI and LLM tools to streamline and scale routine contracting work
Preferred Qualifications
10+ years in contract management, legal operations, or procurement operations, including hands-on experience implementing or administering a contract lifecycle management (CLM) platform; experience supporting infrastructure, datacenter, hardware, construction, or telecom/network procurement and vendor contracting
Proven ability to collaborate across various organizational levels and functions to facilitate efficient contracting processes and execution while building strong relationships
Working familiarity with the structure of datacenter, colocation, and lease agreements; hardware and equipment procurement; construction, facilities, and O&M contracts; network and telecom agreements; high-volume, template-driven vendor contracting; and general contract terms
Excellent verbal and written communication, analytical, collaboration, and interpersonal skills
Motivated self-starter able to multitask and juggle multiple priorities in a dynamic environment
Authentic integrity and a deep understanding of the importance of ethics in business
Experience implementing or administering a CLM platform (Ironclad) and standing up reporting and metrics
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:
$285,000
—
$340,000 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: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.
This role is based in New York City. We use an in-person work model and offer relocation assistance to new employees.
WHAT YOU'LL DO
- Scale document ingestion and processing that is growing at 10x every 6 months
- Design massive data collection from over 50+ legal jurisdictions
- Build government-level security for top governments and firms
- Lead projects that delight customers in bringing AI to web, desktop, mobile, Google Docs, MS Word, and API experiences.
- Build AI-platform and AI-native features like agentic orchestration layers, tool calls, and retrieval systems.
- Ship across the full stack—leveraging React and TypeScript on the frontend alongside Python and Postgres on the backend—to architect intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows.
WHAT YOU HAVE
- 10+ YoE (post-BS/MS) in a product focused full-stack software engineering role.
- Experience with React, Typescript, CSS (we use TailwindCSS), Python, or related.
- Track record of building fast-growing SaaS products.
- Track record of shipping highly intuitive products, strong attention to detail.
- Experience building scalable and extensible solutions across the stack that can support multiple product lines.
- Strong programming skills and general Computer Science knowledge.
- Grit - experience working at early-stage startups is a plus.
COMPENSATION
$231,000 - $340,000 USD
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are looking for a Senior Product Manager to join our Agentic Search team, building the search and retrieval infrastructure that powers AI agents and LLM-based applications at scale.
This is a hands-on IC role with real ownership. You will take full end-to-end responsibility over a core product area, from defining strategy through shipping and iterating based on real usage data. You will work within a small PM team reporting to the Director of Product, alongside engineering, design, and go-to-market, shaping how AI agents discover, retrieve, and act on web information in real time.
The product serves both a developer-facing PLG motion and a growing enterprise customer base, so you will need to be equally comfortable digging into API design and search quality as you are running customer discovery calls and informing competitive positioning. We are looking for someone who can operate as a senior strategic partner, not just an executor, and who has the potential to grow into a principal-level PM over time.
You’re welcome to
work hybrid from Tel Aviv, Israel.
Your responsibilities will include:
Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback.
Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria.
Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions.
Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions.
Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality.
Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions.
Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria.
We expect you to have:
5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure.
Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration.
Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus.
Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs.
Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread.
Proven ability to influence cross-functional stakeholders and drive alignment without formal authority.
Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders.
It will be
an added bonus
if you have:
Experience in search, information retrieval, NLP, or adjacent domains.
Background in API-first or developer-platform businesses with both PLG and enterprise motions.
Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments.
People management or mentoring experience (building the skills of other PMs).
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: London, UK
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 RL Scaling Science team studies how reinforcement learning behaves as we scale it (across model size, compute, and task horizon) and turns that understanding into the training recipes behind our frontier models. As a Research Engineer on this team, you'll design and run large-scale experiments to understand and resolve bottlenecks, build the benchmarks that make long-horizon progress measurable, and ship validated findings directly into production training.
This role lives at the boundary between research and engineering. The problems are open, the experiments run at frontier scale, and the path from a robust result to production is short.
Key responsibilities
Design, run, and interpret large-scale RL experiments, reasoning rigorously about what the data does and doesn't show
Investigate how RL improves as horizon, compute, and model size grow
Build and maintain benchmarks for long-horizon RL so progress is measurable and reproducible
Translate validated findings into production training recipes, exercising judgment about when a result is robust enough to ship
Debug complex issues at the seam where research meets infrastructure - failures that only appear at scale
Partner closely with adjacent RL teams across research and engineering and advance our overall RL stack
Minimum qualifications
Strong empirical research skills in Reinforcement Learning, large-scale ML training, or a closely adjacent area
Demonstrated ability to own large experiments end-to-end, from design through interpretation
Proficiency in Python and experience working with large-scale or distributed ML systems
Comfort operating at the research/systems boundary, including debugging where the two meet
Care about the societal impacts of AI and responsible scaling
Preferred qualifications
Published or shipped work in long-horizon RL or RL fundamentals
Experience translating research findings into production training recipes
Demonstrated large scale industry impact via RL interventions
Experience working on frontier-scale training runs with long trajectories
Representative projects
Design a benchmark suite for long-horizon RL that distinguishes genuine capability gains from artifacts of evaluation setup
Take a promising experimental finding, stress-test it across model scales, and work with training teams to land it in a production recipe
Investigate an unexpected scaling trend in an RL run and trace it to a root cause spanning algorithm, data, and infrastructure
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:
£375,000
—
£640,000 GBP
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, Global
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THE ROLE
We're looking for Engineering Managers to lead engineering teams across Supabase. Teams range from developer-facing surfaces, core backend services, Platform, EngOps, and Databases.
This is a single pipeline for engineering management. As we get to know your background, we'll match you to the team where your experience and interests overlap most strongly. The Engineering Manager is a people, delivery, and technical role. Although we don’t expect managers to contribute to code directly, we do expect you to participate in design discussions and to be involved in setting the bar for engineering quality and best practices.
This is a new role at Supabase. We've historically optimised for technical excellence on every axis, including leadership. As our engineering org grows, people leadership has become just as critical, and the Engineering Manager role exists to reflect that. You'll be shaping what this role looks like from day one.
WHAT YOU'LL BE RESPONSIBLE FOR
Team & People
- Build a healthy, high-trust team culture in a remote-first, globally distributed environment.
- Run 1:1s, performance management, career development, and onboarding for your direct reports.
- Handle people admin (leave, time off, etc.) for your team.
Hiring
- Own the hiring plan for your team and act as Hiring Manager. First round of interviewer for all roles on the team.
- Partner with Talent Acquisition to source, interview, and close strong candidates.
- Contribute to headcount planning, org design, and the evolution of engineering leadership at Supabase.
Delivery & Roadmap
- Own the team's roadmap and project management (Linear), driving accountability and clear milestones.
- Manage workflow intake and Slack triage. These are the team’s primary inboxes for cross-team requests. You decide what gets routed where, prioritized, or pushed back on.
- Own the team's weekly updates and keep stakeholders aligned without creating overhead.
- Organize effort against support tickets and maintain the team's SLO.
- Surface risks, dependencies, and tradeoffs early and clearly to leadership.
Incident Commander
- Train as an Incident Commander. Drive coordination, resolution, and post-incident follow-up.
- Lead blameless post-incident reviews
YOU MIGHT BE A GOOD FIT IF YOU
- Have 5+ years of engineering background, with enough depth to be credible with engineers building complex systems.
- Have 3+ years managing remote engineering teams.
- Have managed engineering teams at a cloud, SaaS, or developer tools company. Experience with developer tools or databases is a strong preference, but we'll consider any sufficiently technical background where you can demonstrate the ability to ramp on a new domain.
- Have managed remote, globally distributed teams that work asynchronously across disparate time zones.
- Are technical enough to be credible with strong engineers, but genuinely passionate about people management. This is the work you want to do, not a track you're settling for.
- Build psychological safety and a feedback culture: you give feedback often and in the moment, ask for it back, and create space for the team to do the same.
- Operate as a multiplier. Focused on helping individuals achieve more than they could alone, not on being the best technical voice in the room.
- Coach rather than direct. Remove blockers, connect people to context and resources, and trust your engineers to own how the work gets done.
- Have a real track record of performance management and can speak to specific examples of difficult conversations and how you navigated them.
- Are comfortable with ambiguity and capable of building structure where there isn't much.
- Communicate clearly and write well. You're default async, default written, set context proactively, and surface risks early.
- Are collaborative, low-ego, and adaptable. You thrive working with high-autonomy, senior ICs who have strong technical opinions and don't need to be the smartest person in the room.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.\
About The Opportunity
As a mobile software engineer, you will build and maintain a core OKX app with millions of daily active users. You will work cross-functionally with design, product and other engineering teams to identify customer needs, and ship high-quality new features through fast iterations. This is an opportunity to learn the full life cycle of crypto mobile applications including pro/retail trading, asset management and wallet. Join us in building the next generation of mobile-first Web3 experiences, empowering millions of users to seamlessly interact with digital assets, decentralized applications, and blockchain-powered services through secure and intuitive products.
What You’ll Be Doing
Part of a global mobile team, developing new features for the all-in-one iOS and Android apps.
Strive for performance optimization and maximize customer satisfaction.
Stay on top of industry trends, and evaluate new solutions to address our unique and fast-growing business needs.
Work closely with design and product teams, and turn design ideas into quality features that scale to millions of users.
Collaborate with global development teams, and deliver customized solutions targeting international users while maintaining consistency with the overall architecture.
Maintain high-quality technical documentation and improve efficiency in cross-office/timezone cooperation.
Actively uses AI tools as a core part of your engineering workflow — not just for code generation, but for building repeatable workflows and bridging across stacks.
What We Look For In You
Experience in either native iOS/Android development, or cross-platform solutions like ReactNative/Flutter/Lua.
Builds AI-leveraged engineering workflows, curating domain knowledge bases, harnessing context, and codifying repeatable agent skills/workflows, with AI tools like
Claude Code
/Codex deliver reliably on real production work.
Fluent with at least one of the following languages: Java/Objective-C/Swift/Kotlin/JavaScript.
Understanding of common data structures and algorithms.
Embrace agile development process including TDD, CI and Scrum.
Passionate about mobile technology and building applications for a large user base.
Nice-To-Haves
Strong understanding of blockchain fundamentals, including wallets, smart contracts, tokens (ERC-20, ERC-721, ERC-1155), and decentralized applications (dApps).
Experience building or maintaining production-grade Web3, DeFi, NFT, GameFi, or digital asset applications.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
As a mobile software engineer, you will build and maintain a core OKX app with millions of daily active users. You will work cross-functionally with design, product and other engineering teams to identify customer needs, and ship high-quality new features through fast iterations. This is an opportunity to learn the full life cycle of crypto mobile applications including pro/retail trading, asset management and wallet. Join us in building the next generation of mobile-first Web3 experiences, empowering millions of users to seamlessly interact with digital assets, decentralized applications, and blockchain-powered services through secure and intuitive products.
What You’ll Be Doing
Part of a global mobile team, developing new features for the all-in-one iOS and Android apps.
Strive for performance optimization and maximize customer satisfaction.
Stay on top of industry trends, and evaluate new solutions to address our unique and fast-growing business needs.
Work closely with design and product teams, and turn design ideas into quality features that scale to millions of users.
Collaborate with global development teams, and deliver customized solutions targeting international users while maintaining consistency with the overall architecture.
Maintain high-quality technical documentation and improve efficiency in cross-office/timezone cooperation.
Actively uses AI tools as a core part of your engineering workflow — not just for code generation, but for building repeatable workflows and bridging across stacks.
What We Look For In You
Experience in either native iOS/Android development, or cross-platform solutions like ReactNative/Flutter/Lua.
Builds AI-leveraged engineering workflows, curating domain knowledge bases, harnessing context, and codifying repeatable agent skills/workflows, with AI tools like
Claude Code
/Codex deliver reliably on real production work.
Fluent with at least one of the following languages: Java/Objective-C/Swift/Kotlin/JavaScript.
Understanding of common data structures and algorithms.
Embrace agile development process including TDD, CI and Scrum.
Passionate about mobile technology and building applications for a large user base.
Nice-To-Haves
Strong understanding of blockchain fundamentals, including wallets, smart contracts, tokens (ERC-20, ERC-721, ERC-1155), and decentralized applications (dApps).
Experience building or maintaining production-grade Web3, DeFi, NFT, GameFi, or digital asset applications.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
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Location: New York
Workplace: OnSite
ABOUT ARCA
Arca is a wealth management firm built from the ground up with AI. Most people get financial advice that's reactive: an annual check-in, a plan that's a document instead of a living thing, a relationship where you're one of three hundred clients your advisor is trying to remember. We think that's backwards. The kind of service that used to require a team of specialists behind you, the kind that makes you feel like the only person in the room, should be available to far more than the ultra-wealthy.
So we're building it. We're not SaaS — we are the wealth management business, rebuilding it from the inside with AI. Our platform is an Iron Man suit for advisors: it takes over the low-leverage work so they can focus on what actually requires a human, showing up with empathy, context, and judgment. Underneath, it keeps a living understanding of each client. It remembers the thing you mentioned once, six months ago. It notices when your life changes — a new job, a new kid, a market shift — and adjusts before you think to ask. You won't see the technology. You'll just notice your advisor seems to know you better than any financial professional ever has.
That's the product we're growing: client by client, on the strength of the experience itself. We started by acquiring firms managing over $1B in client assets, which gave us real advisors, real clients, and real financial outcomes to build against from day one. But acquisition was the starting line. The bet is that an advisor backed by this platform delivers something good enough that clients come to us on their own.
It's a $20T market, and we think it's ready to be rebuilt.
— Rron, CEO
THE RECEIPTS
- Stage: Series A, $64M raised
- Backed by: General Catalyst, Index Ventures, Venrock
- Board & Advisors: Former CEO of Vanguard, Former CFO of Schwab, Founder of Altruist, Morgan Housel (author of The Psychology of Money)
THE TEAM
We’re small on purpose and engineering heavy: about 80% of the team is technical. We’re based in NYC and hail from high growth startups like Stripe, Ramp, Rippling, Plaid, Doordash, & Glean.
We’re fully in-office in Flatiron, five days a week—lunch together, coffee breaks, basketball games, happy hours.
THE ROLE
As a Member of Technical Staff focused on Product, you’ll own entire product domains end to end. You'll work directly with our advisors, operators, and clients to understand what they need, then prototype, ship, and iterate fast. If you ship it, you own it
WHAT YOU’LL BUILD (AND OWN)
- Advisor and operator surfaces. The tools your colleagues use to serve clients, built so one advisor can deliver high-touch service to far more clients than they could before. This is how the firm scales without the experience degrading.
- Consumer portals. Where clients interact with their advisor, see their full financial picture, and engage on their own terms. This is also our organic growth engine: the surface that turns a good experience into clients who come to us on their own.
- The AI that powers all of it. From the tools and skills agents use, to how those agents are embedded in the product itself. This is the layer that makes the other three feel intelligent rather than just digital.
EXAMPLE PROBLEMS YOU’D WORK ON
These aren’t hypothetical; we’re actively working on versions of all of these.
- A research agent advisors actually trust. An advisor prepping for a client meeting needs to know how a pending divorce affects an estate plan, cross-referenced with tax law and the client's portfolio. The agent has to search proprietary data, integrations, and the web, then synthesize something the advisor can act on without second-guessing. "Close enough" isn't acceptable here. The hard part is building a system that knows what it doesn't know, and surfaces that uncertainty in a way that builds trust, under real constraints: compliance, auditability, and datasets where a stale answer is as harmful as a wrong one.
- Generative UI that doesn't break the advisor's flow. Our agents view and update the advisor's frontend in real time: dynamic scenarios, interactive plan adjustments, visualizations that shift as the conversation does. The challenge is ensuring agents can reliably render and manipulate our pages without feeling unpredictable. An advisor mid-call can't be troubleshooting their UI.
- An agentic planning engine that earns trust over time. A client about to retire wants to know if they can help their kids with a down payment. The agent has to hold a continuously updated model of each client's situation, surface the right adjustments at the right moment, and explain its reasoning in terms the advisor can relay in plain English—getting more accurate the longer it knows someone.
- A migration engine that makes every acquisition possible. Every firm runs on something different: a CRM last updated in 2011, a proprietary custodian export, a decade of notes in a shared folder. The engine has to ingest all of it and produce data clean enough to power the models we build on top. Get it wrong and the personalization doesn't work. Data quality is the moat; migrations are how we grow.
THE KIND OF PERSON WHO THRIVES HERE
You’re excited by ownership, ambiguity, and building things that matter.
- You're unusually good at understanding users and willing to act on it. You'd rather sit next to an advisor during a client call, watch where they hesitate, and come back with a point of view than wait for a PM to hand you a spec. You know the difference between what users ask for and what they actually need.
- You're ambitious in a way specific to this work. You're building for people who manage real retirement savings and estate plans. "Good enough" means something different here. You'll rebuild something that works because you know it won't hold through the next acquisition—and that standard motivates you more than shipping faster than last sprint.
- You move fast, and you know speed and reliability aren't in tension here. Advisors depend on what you build every day. Breaking prod isn't something you wait until Monday to fix.
- You’re someone people actually want to be in the room with. This is a small, tight-knit team in one office, five days a week, working on problems that don’t have clean answers. The people who thrive here want to argue about product direction at lunch and then build something together in the afternoon. Kind, direct, and low-ego, you can give candid feedback without being an asshole, and you’re genuinely energized by this environment (not just tolerant of it).
WHY NOW IS THE MOMENT TO JOIN
This is a narrow window with unusually high leverage.
- We just came out of stealth, and we're growing fast. The team is intentionally small, the equity reflects that, and the ceiling is high. You'd be joining early enough that the work you do now directly shapes what the company becomes and what's possible next.
- The advisor-facing product is being defined right now, by a small team that talks to advisors every day. We've just brought on our second firm—the real inflection point, where we start separating what generalizes from what was bespoke. The patterns you set become the foundation for every acquisition that follows.
- The consumer product is a blank page. We've never built directly for consumers until now—no legacy, no template. Whoever takes this on defines what the experience even is.
- The hard part is behind us, which means the interesting part is starting. The platform is live, the concept is proven, advisors have moved real client assets onto it. The work now is scaling a working system across four or five acquisitions this year—workflows, data, agents, reliability under real load.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
This role is fully remote. Reddit has a flexible first workforce.
The Site Experience SRE team sits at the intersection of infrastructure, product engineering, and user experience - ensuring that every interaction across web, mobile, APIs, feeds, media delivery, and real time systems is fast, reliable, and resilient.
We are looking for a Staff Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale. In this role, you will partner closely with product and infrastructure teams to improve availability, latency, scalability, and operational excellence across Reddit’s most business critical experiences.
This is a highly technical leadership role for someone who thrives in large-scale distributed systems, enjoys solving complex reliability challenges, and can lead cross-functional projects to deliver concrete business results across the organization.
What you’ll do:
Lead Reliability Engineering
Drive complex, cross-organizational programs to advance reliability, scalability, and performance for user-facing systems. Own execution from design through launch across API, content delivery, feed generation, search, and real-time experiences.
Shape the Future of Reliability
Define and drive long-term roadmaps for a domain of ownership within the team, turning ambitious reliability goals into strategic investments that build resilience, unlock scale, and enable product innovation.
Build Strategic Partnerships
Own and grow cross-functional partnerships across product and infrastructure engineering, aligning teams on shared reliability priorities and shaping the investments that keep Reddit resilient as it scales.
Eliminate Systemic Risks
Identify systemic risks and reliability bottlenecks across services, dependencies, deployments, and infrastructure. Drive structural improvements that address root causes, eliminate recurring failures, and prevent entire classes of incidents.
Shape Automation Strategy
Define the team’s approach to automation, identifying new opportunities and reusable patterns that make it easier to automate deployment safety, incident response, remediation workflows, and reliability guardrails
Influence Engineering Standards
Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company.
Elevate the Team
Develop engineers at every level through technical leadership, mentorship, and shared learning. Strengthen the team’s engineering judgment, reliability expertise, and ability to deliver with confidence.
What We’re Looking For
8+
years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating best-in-class large scale distributed systems.
Expertise leading complex, cross-organizational engineering programs from design through launch.
Experience defining technical roadmaps to prioritize broad strategic reliability investment.
Proven ability building cross-functional partnerships to align business priorities and facilitate effective technical collaboration.
Expertise using and improving observability systems to expose failure modes, accelerate diagnosis, and answer complex questions about system behavior.
Expertise troubleshooting complex issues across system, infrastructure, and networking.
Strong software engineering fundamentals, sound operational judgment, and effective collaboration practices across teams.
Nice to Have
Experience with Kubernetes, containers, cloud infrastructure, and modern deployment platforms.
Familiarity with technologies such as Prometheus, Grafana, OpenTelemetry, Envoy, Kafka, ClickHouse, Cassandra, Redis, or similar distributed infrastructure technologies.
Experience with CDN optimization, edge reliability, traffic engineering, or global infrastructure.
Contributions to open source software or participation in technical communities.
Experience leading large scale incident response and operational transformation initiatives.
Benefits:
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Group Personal Pension Scheme with Employer match
Private Medical and Dental Scheme
Income Replacement Programs
Bike to Work scheme
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$217,000
—
$303,900 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote - The Netherlands
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Location:
Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.
The
Ads Foundational Representations (AFR)
team develops signals and representations of Reddit’s core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with.
Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas:
Multimodal & Content Embeddings
- Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space.
Contextual and Behavioral Relevance
- Working with Product & Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance.
Knowledge Graph Embeddings -
Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting & business insights.
User Intent Modeling -
Leveraging various techniques to introduce user representations based on the content they interact with: batch & real-time sequence modeling, LLM summarization, etc.
LLM-based Representations
- Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes
The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization.
As a
Staff ML Engineer
, you’ll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects end to end - from high-level business gap analysis to engineering execution.
Roughly 50% of your time will be spent on technical leadership and mentorship (driving strategy & designs, cross-functional collaboration, raising the quality bar), another 50% being individual hands-on work (data analysis & engineering, modeling & automation).
Responsibilities
Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high.
Working closely with team/org leadership developing technical strategy for content-based embeddings & relevance for Ads.
Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models.
Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings.
Building data processing and inference pipelines for the models we develop.
Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments.
Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management.
Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance.
Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
Required Qualifications:
7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models.
Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority.
Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing.
Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them.
Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers.
Familiarity with the Ads domain and/or Search/Recommender systems.
Experience with mainstream DL frameworks: PyTorch or TensorFlow.
Preferred Qualifications:
Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP)
Tech leadership experience: mentoring junior engineers and leading complex projects.
Hands-on experience with using/fine-tuning/building LLMs.
Benefits:
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Private Pension plan with Employer-matching
100% employer-sponsored group medical plan
Income Replacement Programs
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote - United Kingdom
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Location:
Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.
The
Ads Foundational Representations (AFR)
team develops signals and representations of Reddit’s core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with.
Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas:
Multimodal & Content Embeddings
- Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space.
Contextual and Behavioral Relevance
- Working with Product & Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance.
Knowledge Graph Embeddings -
Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting & business insights.
User Intent Modeling -
Leveraging various techniques to introduce user representations based on the content they interact with: batch & real-time sequence modeling, LLM summarization, etc.
LLM-based Representations
- Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes
The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization.
As a
Staff ML Engineer
, you’ll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects end to end - from high-level business gap analysis to engineering execution.
Roughly 50% of your time will be spent on technical leadership and mentorship (driving strategy & designs, cross-functional collaboration, raising the quality bar), another 50% being individual hands-on work (data analysis & engineering, modeling & automation).
Responsibilities
Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high.
Working closely with team/org leadership developing technical strategy for content-based embeddings & relevance for Ads.
Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models.
Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings.
Building data processing and inference pipelines for the models we develop.
Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments.
Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management.
Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance.
Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
Required Qualifications:
7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models.
Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority.
Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing.
Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them.
Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers.
Familiarity with the Ads domain and/or Search/Recommender systems.
Experience with mainstream DL frameworks: PyTorch or TensorFlow.
Preferred Qualifications:
Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP)
Tech leadership experience: mentoring junior engineers and leading complex projects.
Hands-on experience with using/fine-tuning/building LLMs.
Benefits:
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Group Personal Pension Scheme with Employer match
Private Medical and Dental Scheme
Income Replacement Programs
Bike to Work scheme
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Hong Kong, Hong Kong SAR
Singapore, Singapore
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