Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Recruiting Research Scientist to join our People Data Solutions team. You’ll be the research expert supporting our Recruiting organization, using rigorous scientific methods to advance our understanding of recruiting funnels, interview effectiveness, candidate experience, and recruiting capacity. This role sits at the intersection of organizational science, behavioral research, and people strategy – developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization.
This role offers the opportunity to make a significant impact on both our recruiting practices and the broader field of people science at a leading AI safety company.
Responsibilities
Research design & scientific inquiry
Design and execute systematic research studies to answer fundamental questions about recruiting funnel health, assessment quality, candidate experience, and quality of hire
Generate and test hypotheses about sourcing strategies, interview design, and selection decisions using rigorous experimental and quasi-experimental methods
Conduct mixed-method research to understand what are the drivers and blockers to recruiting operations.
Navigate research ethics considerations when studying candidate data, ensuring responsible research practices
Selection & assessment research
Design and execute validation studies to assess the quality of interviews and other selection tools
Utilize psychometric techniques to analyze and improve interviewer calibration and rating consistency
Lead investigative research into innovative approaches for candidate assessment
Metrics design and governance
Design the metrics framework for recruiting org health — defining the canonical KPIs, dimensions, and definitions that leadership uses to understand funnel performance, capacity, and hiring quality
Establish the governance and definitional rigor that keeps metrics consistent across tools and reporting surfaces
Analytical solution building
Architect analytical solutions that convert research insights into actionable products, empowering stakeholders to execute data-driven scenario and strategic planning
Quantify the adoption and downstream impact of deployed tools, driving iterative improvements
Visualization & communication
Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences
Present research findings to senior leadership with clear, actionable recommendations
Minimum Qualifications:
Hold an advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field
Have experience with selection research, assessment validation, psychometrics, or recruiting funnel analytics
Are comfortable working in the People Analytics tech stack and collaborating with data engineers
Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning
Have experience with data visualization and can tell compelling stories with research findings
Possess excellent communication skills and can influence stakeholders at all levels
Thrive in ambiguity and can balance rigor with pragmatism
Have a track record of challenging assumptions with data and changing long-held practices
Can navigate sensitive topics diplomatically while maintaining analytical rigor
Demonstrate intellectual humility and comfort with iterative discovery
Use data to improve how organizations find, assess, and hire talent
Preferred Qualifications:
5 + years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise
Background in recruiting analytics specifically (not just general analytics)
Experience running interview or assessment validation studies
Experience building self-service analytics tools or dashboards
Previous experience in high-growth technology companies or AI/ML organizations
Familiarity with network analysis, machine learning, or advanced statistical methods
Experience with BigQuery and modern data stack tools
Experience with Greenhouse, Gem, ModernLoop, or similar recruiting tools
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
—
$380,000 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.
San Francisco, CA | New York City, NY | Seattle, WA
Location: District of Columbia; New York, NY
Workplace: OnSite
About the Company
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
Our Ethos
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
About the Team
You'll join Rain's lean legal team and take a leading role in our M&A and corporate development efforts as we scale globally. You'll operate as a strategic partner to Rain's leadership — identifying, structuring, negotiating, and closing acquisitions, investments, and other strategic transactions — while also supporting the broader corporate legal function across a fast-moving, heavily regulated fintech platform.
What you'll do
- Lead M&A execution: manage all legal aspects of acquisitions, divestitures, and strategic investments from LOI through closing and post-closing integration, including due diligence coordination, deal structuring, and negotiation of definitive agreements.
- Draft and negotiate transaction documents: purchase agreements, merger agreements, and ancillary documents (escrow agreements, transition services agreements, employment and consulting agreements, IP assignments), plus board and stockholder consents.
- Coordinate due diligence: partner cross-functionally with Finance, Compliance, Risk, Product, and Engineering to identify and assess deal risks and structure appropriate protections.
- Advise on corporate structure and expansion: support entity formation and structuring for international expansion, working with local counsel as Rain enters new markets.
- Support regulatory approvals in M&A, including change-of-control filings with state regulators (e.g., money transmitter license transfers) or foreign financial authorities (e.g., EMI, VASP, or payment institution license approvals).
- Support general corporate matters, including drafting and negotiating intercompany agreements, advising on corporate structuring, and handling other corporate legal needs as they arise.
- Collaborate across the legal team: partner with colleagues focused on licensing, compliance, and regulatory matters to align corporate transactions with Rain's regulatory obligations and licensing requirements.
You are likely to succeed if you have:
- 4 to 8 years of experience in corporate law, with meaningful M&A transaction experience (law firm, in-house, or a combination).
- Hands-on experience drafting and negotiating acquisition agreements, investment documents, and related ancillary agreements.
- Strong understanding of corporate governance, entity management, and Delaware corporate law.
- The ability to manage multiple workstreams and competing deadlines in a fast-paced environment.
- Clear, confident communication skills, with the ability to translate complex legal concepts for business stakeholders.
- Strong hands-on drafting skills, with the ability to handle a meaningful share of contract and transaction drafting in-house.
- A JD and admission to at least one U.S. state bar.
Bonus attributes:
- Ability to support corporate governance: maintain corporate records and entity management across Rain's global subsidiary structure.
- Ability to negotiate commercial contracts.
- Experience at a fintech, payments, crypto, or digital assets company.
- Familiarity with cross-border M&A or international entity structuring.
- Background in venture capital transactions (SAFEs, convertible notes, priced rounds).
- Experience working on inter-company agreements and corporate structuring.
- SEC reporting or compliance experience.
Things that enable a fulfilling, healthy and happy experience at Rain:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Workplace: none
About us
At
Praktika.ai
, we're on a mission to deliver efficient and engaging learning experiences for billions of students worldwide by bridging the gap between learning apps and human tutors. We've done this by building a fully automated language tutoring experience powered by generative AI avatars.
After raising $30 million in Series A funding, we're growing and looking for a Creative Strategist to join us. We're a small, global team pushing the boundaries of what's possible in language learning. We like independent self-starters who work well in a team and on their own, and who enjoy the pace of an early-stage startup.
About the role
You'll join our creative team, reporting directly to our Creative Manager. This is a strategist and producer role. You'll own our paid creative from first idea to live test: what we make, how good it is, and making sure every piece gets shipped and tested. You'll run all production across UGC, AI video and statics, and work closely with UA and media buyers to learn from the results.
This is a performance role first, not a design role. You'll be judged on what the creative does in-market, not on how it looks. You don't need to be a media buyer, but you do need to understand UA well enough to make creative decisions from the numbers.
What you'll do
Ideas and strategy
Own the creative ideas behind our paid campaigns across web, web-to-app and app (iOS and Android) on Meta, TikTok, Google, Apple Search Ads, AppLovin and Snapchat
Turn performance data, competitor ads and audience research into the next round of concepts
Test hooks, angles and formats, each with a clear hypothesis, and feed the results back into briefs
Production and quality
Own all creative production: UGC, AI video and statics
Write briefs for designers and UGC creators that spell out the angle, audience, references, models, tools and specs, so nobody has to come back with questions
Specify the right AI model for each shot. Different models win at different things, and you'll know which one to call for.
Hold the quality bar and keep the brand consistent across everything that ships
Full cycle, brief to test
Take every creative from brief through production to a live test
Work with UA and media buyers on test structure and on what to scale or kill
Read the results across the full funnel (hook rate, hold rate, CTR, CPM, CVR, CPA, ROAS) and know which metric is misleading you on a given creative
Making it faster
Build automated processes, prompt libraries, templates and batch pipelines that increase output and cut repetitive work
Keep up with new models and bring the good ones into the workflow
Document the processes so the team can run them
What we're looking for
2+ years in creative strategy for paid acquisition, ideally as a creative manager, creative lead or creative strategist working alongside a performance or UA team
Strong creative judgement: you come up with the ideas and hold a high quality bar
You've owned creative production end to end, including directing designers, editors and UGC creators
You've owned creative against a CPA or ROAS target and can walk us through specific numbers
Solid UA knowledge: account structure, testing frameworks, learning phase, creative fatigue, how the algorithm allocates spend, and why a creative with great upper-funnel metrics can still be the worst in the account
You understand how channels differ: web vs web-to-app vs app install, iOS vs Android, and Meta, TikTok, Google, Apple Search Ads, AppLovin and Snapchat. You know why the same creative can win on one and lose on another, and how ATT and iOS attribution change what you can read from the numbers.
Comfortable in Meta Ads Manager and TikTok Ads Manager
AI-native. You know the current video, image and voice models and what each is good at:
Video: Veo, Kling, Seedance, Sora, Runway, Wan and Hailuo
Image: Nano Banana, Midjourney and Flux
Voice: ElevenLabs
You can explain why you'd pick one over another for lip-sync, character consistency, product close-ups, motion or cost per second.
Hands-on with agentic AI tools like Claude, Codex, Cursor or Antigravity. You use them to build automations and small scripts, not just to chat.
A portfolio of ad work you briefed or directed at volume, with results attached. When you apply, include at least two ads with the platform, spend, hook rate, CTR and CPA for each. We won't review applications without numbers.
It would be great if you have
Scripting or automation experience (APIs, batch pipelines, no-code tools)
Experience at a subscription app or in edtech
A film or production background
Why join Praktika
We expect dedication and hard work, and we reward it. Our compensation reflects the effort and results you bring.
Top-tier salary
Equity that grows with your impact through stock options
26 days' holiday plus bank holidays (34 days a year)
Yearly offsites (recent ones were in Istanbul and Morocco)
Health and wellness benefits through SafetyWing
A full AI toolkit, including Claude, Cursor and Codex
An annual learning budget of up to $1,000
Interview process
Application review (with the numbers above)
Intro call with our Talent team
Portfolio deep dive with our Creative Manager
Practical task
Final interview with our CEO
We'll give you feedback throughout the process.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
At Higgsfield, growth runs on data, and this role owns it.
This role owns the analytical engine behind growth:
- Data parsing & pipelines
- Dashboards & reporting
- Funnel analysis
- Insight & hypothesis generation
YOU MAKE SURE:
- The growth team always knows what's working, what's not, and why
- Every channel, cohort, and funnel step is measured accurately
- Hypotheses that could grow reach and revenue are surfaced constantly
- Decisions are made on data, not gut feeling
You are the person who turns raw data into growth.
WHAT YOU WILL DO
Data & Analytics
- Parse, clean, and structure data from multiple sources: product, marketing, and payments.
- Own ETL processes.
- Build and maintain dashboards the growth team will use daily.
- Analyze the full funnel, from acquisition and activation to conversion, retention, and revenue, and find where we're suboptimal.
- Reconcile numbers across Sheets, dashboards, and analytics tools.
Insights & Hypotheses
- Constantly look for insights: anomalies, patterns, and opportunities.
- Generate and prioritize hypotheses that could increase our reach and revenue.
- Turn analysis into clear, human-readable recommendations: visualize data for humans, not for other analysts.
- Flag inconsistencies, broken tracking, or incorrect assumptions early, and drive fixes.
Enabling the Growth Team
- Answer the team's data questions fast, so growth managers can move without waiting.
- Help design experiments and measure their results honestly.
- Automate repetitive workflows:
- Data collection
- Reporting
- Dashboard refreshes
- Use tools like Google Sheets, SQL, Python, APIs, or scripts – we use AI heavily, so resourcefulness beats syntax.
- Reduce manual work and increase reliability as volume scales.
WHO WE’RE LOOKING FOR
We’re looking for a high-agency https://www.highagency.com analyst.
You should have:
- Proficiency in Google Sheets and SQL.
- Python at entry level is fine – we use AI heavily, resourcefulness matters more than syntax.
- Understanding of ETL processes and how data moves between systems.
- Ability to visualize data for humans: clear, decision-ready charts.
- An always-on instinct for insights.
- Resourcefulness, responsibility, and an ownership mindset: you get things done.
- Clear written and spoken English, B2+ level.
Backgrounds that often do well:
- Data or marketing analytics with strong execution bias
- Growth Ops / BizOps people
- Early startup analysts who built reporting from scratch
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Wait to be told what to analyze
- Prefer building models over driving decisions
- Need perfect data before you can say anything useful
- Are uncomfortable presenting findings and pushing back
- Want predictable 9–5 workdays
HIRING PROCESS
- Screening call (30 min)
- Hiring-manager screen (30 min)
- Business case (1 hour)
- Take-home with real-shaped data (7 days, ~10–12 hours of work)
- Team interview (60 min)
- Paid on-site trial (1 month)
WHAT WE OFFER
- Competitive base salary in USD, based on your experience, skills, and the scope of the role.
- Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
- Relocation support to Almaty for candidates moving from another city or country.
- A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
- Opportunities for professional growth, ownership, and career development as the company scales.
- Company-provided equipment, meals, transportation, or other office benefits.
Location: Berlin
Workplace: Hybrid
OUR STORY:
Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence.
Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016.
THE OPPORTUNITY:
As our People Intelligence/Apps Technical Product Manager within the People Strategy & Insights team, you'll be a critical part of developing our agentic enablement platform and responsible for building and shipping the People applications that power how we hire, develop, and grow our team — from workforce planning tools to AI-augmented performance and org design solutions.
Reporting to our Director of People Strategy & Insights and collaborating closely with People Partners, Leaders, FP&A, IT, and AI and Platform Engineering, you'll translate complex People domain challenges into elegant, scalable products that make a real difference in how we operate. At Taxfix, we're building an AI-native company — and this role sits right at the heart of that mission.
YOUR RESPONSIBILITIES
- Develop a deep understanding of the employee as “Builder” concept, and map the requirements different parts of the organisation have to unlock the capability of Engineers and non-Engineers to ship agentic workflows.
- Design and implement AI-augmented tools and human-AI collaboration patterns, experimenting with emerging techniques to push the boundaries of what's possible in People operations.
- Build, iterate, and continuously improve People applications using no-code and low-code platforms such as Claude Code, Notion, n8n, Google Cloud Apps, and other AI tools — owning the full product lifecycle from concept through delivery and optimisation.
- Lead the continued adaption of Product mindset and ways of working across the People function, including the development and on going refinement of the People Products Roadmap.
- Translate stakeholder needs into a prioritised People applications roadmap, balancing day-to-day operational demands with longer-term strategic initiatives and a clear build-vs-buy framework.
- Build and maintain integrations across the People tech stack — including HiBob, Ashby, Peakon, and Postgres — ensuring seamless data flows, strong data integrity, and reliable automation via n8n.
- Lead change management for new applications and features, creating documentation, training materials, and enablement sessions, then gathering feedback to iterate rapidly.
- Partner with PSI leadership, People Partners, Workforce Planners, and FP&A, while collaborating with IT and Engineering to ensure all solutions meet IT security and privacy standards.
YOUR PROFILE
- You bring 5+ years of experience in technical product management or a closely related role, with a proven track record of building and shipping internal tools end-to-end.
- You have hands-on experience building with AI tools such as Claude, GPT, or Google AI Studio, and you think naturally about how to design effective human-AI collaboration patterns.
- You are a curious PM that is not afraid to challenge the status quo in a pragmatic and constructive way.
- You are thinking in systems, understanding the economical aspect of internal processes and products and how those can create value.
- You are technically fluent, comfortable working with APIs, webhooks, SQL, and cross-system data flows, and you know when to bring in Engineering versus when to build it yourself.
- You have a product mindset: you manage roadmaps, prioritise ruthlessly, and deliver incremental value in fast-paced environments, all while keeping the end user's experience front and centre.
- You are highly proficient with no-code and low-code platforms, Notion, n8n, AppSheet, Google Cloud Apps, or similar, and you're comfortable designing data models that support complex business logic and reporting.
- Experience in People or HR tech, workforce planning, or org design is a strong plus, as is a background in high-growth startup or scale-up environments where ambiguity is the norm, not the exception.
WHY TAXFIX?
- A chance to do meaningful, people-centric work with an international team of passionate professionals.
- Holistic well-being with free mental health coaching sessions.
- A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like.
- Employee stock options for all employees—because everyone deserves to benefit from the success they help to create.
- 30 annual vacation days and flexible working hours.
- A generous learning budget to support your personal and professional development and guidance from our internal L&D experts.
- Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip.
- Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible.
- Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions.
- Have a four-legged friend in your life? We’re happy to have dogs join us in the office.
Excited? So are we. Learn more about Team Taxfix https://medium.com/taxfix on our blog and get a glimpse of our culture.
At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves.
Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.
Location: Australia; Sydney, New South Wales, Australia
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.
About the Opportunity
OKX offers deep liquidity, competitive tiered fee structures, and low-latency infrastructure across spot, perpetuals, and options, built for traders who need scale and speed
This is a strategic hire to build and own OKX's HFT/proprietary trading relationships in the Australian market
What You’ll Be Doing
Providing exposure to digital asset products to your network of traders (proprietary trading groups, high frequency traders, and others), and building this network with OKX's support and resources
Developing a strategy to serve traders interested in exposure to digital asset products, including building a pipeline of prospects
Managing the sales cycle for traders end-to-end, including working with OKX's:
- technical experts to answer product questions; and
- business leads to align on commercials for each deal.
Taking product feedback from traders, then communicating this internally to support product improvements
Negotiating commercial terms with prospects, including fee tier structures, rebates, and liquidity provision incentives
Coordinating onboarding of new accounts, including wholesale/sophisticated investor classification, KYC, and legal documentation, working closely with OKX's Compliance and Legal Teams
Supporting technical integration conversations (API/FIX connectivity, colocation where relevant) alongside OKX's technical team
Representing OKX at industry events, conferences, and trading community gatherings to build and maintain relationships
Managing and growing existing accounts post-onboarding, including upselling to higher fee tiers or additional products
What We Look For In You
Existing relationships with market makers, proprietary trading firms, or trading infrastructure providers
At least 4 years of experience in business development or sales:
- Ideally, in industries relating to trading (for example: derivatives, CFDs, FX, commodities - with direct client experience at trading firms, proprietary trading groups, commodity trading advisers)
- With experience at a regulated exchange, broker, futures commission merchant, order management system, data provider or similar
Desire and capability to own a business line in the Australian market for a leading, global digital asset exchange
Interest in digital assets and novel financial products and infrastructure
Understanding of market microstructure, maker-taker fee models, and how HFTs/proprietary trading groups evaluate exchange venues
Familiarity with API- or FIX-based trading relationships (technical fluency not required, but comfort discussing integration requirements)
Track record of managing multi-stakeholder commercial negotiations
Based in Australia, ideally Sydney
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!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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: Seattle, WA
Workplace: onsite
Overview
Get Paid to Help Shape the Future of Technology
We are building a community of participants for upcoming in-person data collection projects in Seattle. These projects help improve the next generation of smart devices and technology and we are looking for everyday people to take part.
No experience is required. No special skills are needed. Simply attend your scheduled session, follow a few simple instructions, and get paid for your time.
What You'll Do
Participants take part in short, moderated sessions involving simple, everyday activities such as walking, sitting, or moving through a space while smart devices record the session. A friendly moderator guides you through every step. A trained moderator will guide you through the entire process.
Project Details
Job Type: Freelance/Independent Contract
Time Commitment:Approximately 1 hour
Location: Seattle Metro Area (On-site)
Project Type: Short-term, paid, in-person research sessions
Who Can Apply?
We welcome people of all ages and backgrounds from across the Seattle region.
To participate, you should:
Adults and minors are eligible (participants under 18 require parent/guardian consent)
Be comfortable following simple instructions in English (non-native English speakers are welcome).
Feel free to register with friends or family, you are welcome to participate together.
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Global Anywhere
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role
As a Senior Software Engineer on the Platform team, you will build and own the frameworks, tooling, and CI/CD infrastructure that let Alpaca’s engineers ship new features quickly and reliably. This is a software engineering role at its core: you will spend most of your time writing Go, designing automated test frameworks, and digging into application code and Kubernetes when needed. Just as importantly, you will help redefine how we use AI to raise the bar on quality - leveraging LLMs and AI-driven tooling to generate tests, catch regressions before they ship, and turn every incident into durable, automated coverage. We are looking for engineers who treat quality as an engineering discipline and see AI as a force multiplier for it - people who build the systems that make testing fast, reliable, and effortless for the teams that depend on them.
Things You Get To Do
Design and build automated test frameworks across our REST and gRPC API surface.
Leverage AI and LLM-based tooling to accelerate test generation, harden regression coverage, and turn production incidents into automated tests - embedding these practices into the frameworks the whole engineering org relies on.
Build and maintain CI/CD pipelines - we use a mix of GitHub Actions and Google Cloud Build.
Design and execute load, stress, and scalability tests to ensure our platform can handle growing demand.
Introduce chaos engineering practices - designing fault-injection and resilience experiments that surface failure modes before our customers do.
Standardize tooling and infrastructure to improve the day-to-day developer experience.
Partner with other teams to raise test coverage, reliability, and speed across services.
Dig into application code to root-cause failures and drive fixes to completion.
Mentor and guide product engineers, fostering a culture of quality and continuous improvement.
Who You Are (Must-Haves)
You have 5+ years of experience as a software engineer building and maintaining production systems.
You have written code in strongly typed languages and have at least 1 year of experience with Go.
You are fluent with AI-assisted engineering - you actively use LLM-based tools in your workflow and have a clear point of view on where they elevate quality (and where they don’t).
You have built and maintained CI pipelines before - ideally with GitHub Actions or Google Cloud Build.
You have designed and built automated test frameworks, and you understand the challenges microservices pose for reliable integration and end-to-end testing.
You are familiar with Kubernetes beyond the basics - you can write a Helm chart for a new service with relative ease, you understand best practices around security, and you have prior job experience or certifications to prove this.
You have worked at a startup before - you understand that things don’t always go according to plan, that there is significant technical debt, that some tasks just need to be done, and that sometimes there are no processes or documentation to guide your hand.
You are not afraid of taking a task from start to finish - gathering requirements, figuring out and implementing the best technical solution, then deploying and monitoring the results.
Who You Might Be (Bonus Points)
You have used AI/LLM tooling to build QA automation - test generation, flaky-test triage, or incident-to-regression pipelines - and can speak to what worked and what didn’t.
You have written code in Python or TypeScript, and can build efficient Dockerfiles and secure container images.
You have implemented load tests with k6 (REST) and ghz (gRPC) and have experience analyzing pprof/trace output.
You have done IaC deployments with Argo CD or Terraform, or have used Google Cloud Platform and Google Kubernetes Engine before. You are familiar with Tilt and have written a Kubernetes Operator before.
You have practiced chaos engineering - running fault-injection or resilience experiments with tools like Chaos Mesh, LitmusChaos, or Gremlin.
You are familiar with testing event-driven systems using Kafka (or even better, Redpanda).
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: Uzbekistan; Georgia; Armenia; Kazakhstan; Poland; Serbia
We help aspiring and experienced brokers develop practical expertise and build careers in Dubai’s real estate market. We offer in-person and online learning formats. We are looking for a Sales Manager to consult prospective students, manage warm leads, and guide clients through the full sales process
Responsibilities:
Consult warm leads provided by the marketing team and sell educational programs
Communicate with clients primarily in English via WhatsApp, e-mail, phone calls
Identify clients’ needs, present relevant training options, handle objections, and close deals
Maintain accurate lead records and sales pipeline in AmoCRM
Follow up with prospective clients and achieve individual sales targets
Collaborate with the sales lead and the wider team to improve sales processes and communication scripts
Requirements
At least 1 year of sales experience, preferably in B2C sales
English proficiency at B2 level or above, both spoen and written
Russian proficiency will be an advantage, as part of the team is Russian-speaking
Experience with CRM systems; AmoCRM experience is a plus
Strong communication, negotiation, and client-consulting skills
Ability to work independently in a remote environment
Experience in real estate, education, courses, or premium services will be an advantage, but is not required
Benefits
Fully remote cooperation from any location
Flexible compensation structure: fixed salary plus commission per sale (discussed individually).
If this opportunity sounds like a good fit for you, we look forward to receiving your application! Thank you !
УдалённоUzbekistan; Georgia; Armenia; Kazakhstan; Poland; Serbia
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Safeguards team builds the systems that detect and mitigate misuse of our AI models, from individual policy violations to sophisticated, coordinated attacks. A growing part of that work depends on lightweight detection methods trained on model internals, which let us identify harmful behavior cheaply and at scale. This work feeds directly into Anthropic's Responsible Scaling Policy commitments.
We're looking for an engineer to own the infrastructure behind that research. This is the tooling our researchers rely on to run experiments, train detection methods, and select detections for launch. It sits between research and production: researchers depend on it for fast iteration, and our detection systems depend on it for reliable, correct results as our models continue to change.
Running machine learning workloads at our scale often requires solving novel systems problems. You'll identify those problems and build the abstractions, pipelines, and tooling that keep the research loop fast as requirements shift underneath you. Strong candidates will have a track record of solving large-scale systems and data problems and will be excited to grow deep machine learning expertise alongside it.
Key responsibilities
Build and scale the infrastructure and data pipelines behind Safeguards machine learning research
Own the training, evaluation, and scoring workflows researchers use, with a focus on cutting the time between an idea and a result
Design tooling and interfaces, including libraries and command line tools, that researchers can use directly without needing to understand the systems underneath
Build correctness and sanity checking into the stack, so results stay trustworthy as models and workloads evolve
Take the highest-value research workflows from experiments to reliable, production-grade jobs
Improve the throughput, cost, and reliability of large-scale inference and scoring workloads
Partner closely with researchers and engineers across Safeguards to understand their workflows, anticipate how their needs will change, and design for that ahead of time
Minimum qualifications
Strong software engineering fundamentals and hands-on coding ability, with proficiency in Python
Experience building and operating data-intensive or distributed systems in production
Experience building tooling or infrastructure that other engineers or researchers use as a dependency
Comfort working across the research-to-deployment pipeline, from exploratory experiments to production systems
Ability to debug performance and correctness problems across an unfamiliar stack
Strong written and verbal communication skills, and a collaborative approach to technical decisions
Preferred qualifications
Experience with high-performance, large-scale machine learning systems
Familiarity with language modeling and transformers, including working with model internals
Experience with machine learning framework internals, GPU or accelerator programming, or inference optimization
Experience building experiment tracking, caching layers, or evaluation harnesses for research teams
Experience with probes, interpretability, or classifier development
Interest in the misuse risks of AI systems and a desire to work on mitigating them
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:
$350,000
—
$500,000 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 City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional AI-Native Data Analyst to join Garner and drive how data shapes business decisions at scale. You'll be the person the business trusts to turn fuzzy questions into the metrics, dashboards, and deep-dive analyses that decisions actually get made on — owning that work end-to-end.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own KPIs and dashboards end-to-end.
Build, maintain, and govern key KPIs and dashboards across business domains, managing the full lifecycle of analytics projects from scoping to delivery.
Be a thought partner on measurement.
Partner with stakeholders to define how success is measured across Garner's products and operations.
Build scalable data pipelines.
Collaborate with the data engineering team to create maintainable pipelines that power reliable reporting.
Develop deep domain expertise.
Build a strong understanding of your analytical domain so you can independently drive meaningful insights.
Close reporting gaps.
Identify where coverage is missing and proactively develop new dashboards and insights to fill them.
Raise the bar on data practices.
Advocate for best practices in visualization, documentation, metric consistency, and stakeholder communication across teams.
Answer high-stakes, ambiguous questions.
Run deep-dive investigations into complex business problems — the kind of analysis leadership uses to make strategic calls.
The ideal candidate has:
5+ years
of experience
in Data Analytics, Business Intelligence, or a similar data-centric role.
Cross-functional translation.
Ability to translate ambiguous business questions into data-driven solutions and to work effectively with non-technical stakeholders.
Autonomy and ownership.
Comfortable working independently and owning reporting projects end-to-end.
Automation mindset.
Attention to detail with a bias toward automation and scalability over one-off work.
AI Nativity.
Comfort with and excitement about building analytics, building dashboards, and validating results by harnessing the power of AI agents.
Making data accessible
. A track record of getting stakeholders trustworthy, self-serve access to the information they need. Experience with a BI/visualization tool (Looker, Tableau, Power BI, or similar) helps — but the outcome matters more than the specific tool.
Modern data stack.
Hands-on with Snowflake (or a comparable cloud warehouse) and SQL at scale; experience with dbt strongly preferred — you'll partner with Data Management in governed pipelines, not just consume their outputs.
A desire to be part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
What you’ll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target salary range for this position is $167,000 - $210,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional AI-Native Data Analyst to join Garner and drive how data shapes business decisions at scale. You'll be the person the business trusts to turn fuzzy questions into the metrics, dashboards, and deep-dive analyses that decisions actually get made on — owning that work end-to-end.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own KPIs and dashboards end-to-end.
Build, maintain, and govern key KPIs and dashboards across business domains, managing the full lifecycle of analytics projects from scoping to delivery.
Be a thought partner on measurement.
Partner with stakeholders to define how success is measured across Garner's products and operations.
Build scalable data pipelines.
Collaborate with the data engineering team to create maintainable pipelines that power reliable reporting.
Develop deep domain expertise.
Build a strong understanding of your analytical domain so you can independently drive meaningful insights.
Close reporting gaps.
Identify where coverage is missing and proactively develop new dashboards and insights to fill them.
Raise the bar on data practices.
Advocate for best practices in visualization, documentation, metric consistency, and stakeholder communication across teams.
Answer high-stakes, ambiguous questions.
Run deep-dive investigations into complex business problems — the kind of analysis leadership uses to make strategic calls.
The ideal candidate has:
3+ years
of experience
in Data Analytics, Business Intelligence, or a similar data-centric role.
Cross-functional translation.
Ability to translate ambiguous business questions into data-driven solutions and to work effectively with non-technical stakeholders.
Autonomy and ownership.
Comfortable working independently and owning reporting projects end-to-end.
Automation mindset.
Attention to detail with a bias toward automation and scalability over one-off work.
AI Nativity.
Comfort with and excitement about building analytics, building dashboards, and validating results by harnessing the power of AI agents.
Making data accessible
. A track record of getting stakeholders trustworthy, self-serve access to the information they need. Experience with a BI/visualization tool (Looker, Tableau, Power BI, or similar) helps — but the outcome matters more than the specific tool.
Modern data stack.
Hands-on with Snowflake (or a comparable cloud warehouse) and SQL at scale; experience with dbt strongly preferred — you'll partner with Data Management in governed pipelines, not just consume their outputs.
A desire to be part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target salary range for this position is $131,000 - $140,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Americas; APAC; EMEA
Workplace: Remote
RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.
We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.
We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.
This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.
ABOUT THE TEAM
You’ll join a cross‑functional group of app monetization subject matter experts who partner directly with RevenueCat customers and prospects. As part of the broader Customer Growth org, this team designs and implements high‑impact paywalls, onboarding flows, and purchase funnels using RevenueCat’s no‑code builders and experimentation tools, then feeds learnings back into our product, templates, and educational content
You’ll also collaborate closely with our content, marketing, and advocacy teams to turn real‑world project outcomes into templates, case studies, webinars, and best‑practice guides for the broader app community
ABOUT THE ROLE
As Senior CRO Designer, Paywalls & Funnels, you’ll be the person RevenueCat customers trust when the question is: “How do we get more users to convert and stay subscribed?”
You will:
- Design & build high‑converting paywalls and funnels
- Use RevenueCat’s paywall and experiment builders to design, configure, and ship paywalls, onboarding flows, upgrade paths, and win‑back experiences for mobile apps across categories
- Translate brands and product value props into clear, compelling paywall layouts, messaging, and pricing presentations
- Lead conversion optimization projects for customers and prospects
- Run structured discovery with customers and prospects to understand their business model, audience, and constraints
- Propose experiment plans (e.g., value prop framing, pricing presentation, trial vs. no‑trial, placement and timing of paywalls)
- Partner with apps to launch multivariate tests and interpret results, using RevenueCat’s analytics and experimentation tooling
- Codify patterns into reusable assets
- Distill what’s working across projects into reusable templates, checklists, and patterns that can be implemented directly in RevenueCat’s builders
- Work with Product to inform our paywall components, presets, and default templates
- Create educational content with Advocacy & Marketing
- Collaborate with Growth Advocacy and Content teams to turn your project learnings into:
- Example paywalls and funnel templates
- Blog posts, guides, and best‑practice documentation
- Webinars, live reviews, and conference talks or workshops
- Participate in public‑facing sessions (e.g., teardown streams, office hours) as a visible expert on monetization UX
- Champion monetization UX best practices
- Advise Sales, Customer Success, and Support on paywall and funnel best practices they can bring into customer conversations
- Provide feedback to Product & Engineering on how practitioners use our builders in the wild, highlighting opportunities for new features, components, and workflows
ABOUT YOU
You’re a conversion‑focused designer who lives at the intersection of mobile product design, growth, and experimentation. You have a track record of shipping real paywalls and funnels that move business metrics, not just portfolios
You have:
- Deep hands‑on experience with paywalls & funnels
- 5–8+ years designing consumer mobile experiences, with a substantial portion spent on subscription or purchase flows (e.g., paywalls, onboarding, upgrade/upsell, win‑back, account limits)
- Experience either:
- At a mobile app studio / product team owning monetization UX, or
- At an agency/consultancy repeatedly designing and optimizing paywalls and funnels for multiple apps
- Strong conversion & experimentation mindset
- Comfort defining hypotheses, success metrics, and test plans (e.g., CVR, trial start rate, activation, LTV)
- Experience using analytics and experimentation tools to interpret results and iterate quickly
- Ability to balance conversion gains with long‑term user trust and platform guidelines
- Mobile‑first product design skills
- Excellent interaction and visual design chops for small screens and high‑stakes surfaces (like paywalls and purchase flows)
- Strong UX writing instincts for concise, value‑focused copy and pricing messaging
- Proficiency in modern design tools (e.g. Figma) and comfort translating designs into no‑code builder configurations
- Customer‑facing communication skills
- Confidence leading workshops, design reviews, and strategy sessions with customers and prospects
- Ability to present options, pros/cons, and trade‑offs to both designers and non‑design stakeholders (founders, PMs, marketers)
- Great written communication for async collaboration in a remote team
- Values & ways of working
- You’re energized by our mission to help developers make more money
- You work iteratively and ship value quickly rather than waiting for perfection
- You have an ownership mentality: You see broken or unclear experiences and feel compelled to improve them
- You’re comfortable working in a fully remote, distributed team and collaborating across time zones
In your first month, you’ll:
- Learn RevenueCat’s products, especially paywalls, experiments, and analytics
- Join customer calls to understand our process and common challenges
- Audit a handful of existing customer paywalls and funnels and build your first recommendations
Within 3 months, you’ll:
- Own several customer projects end‑to‑end, from discovery through experiment analysis
- Ship multiple paywall and funnel variations using RevenueCat’s builders
- Partner with Advocacy/Content on at least one public asset (template, blog post, teardown, or webinar segment)
Within 6 months, you’ll:
- Be the go‑to expert internally for monetization UX, paywall patterns, and funnel optimization
- Maintain and evolve an internal “playbook” of best practices and tested patterns
- Influence the roadmap for our paywall and experiment tooling based on patterns you see across customers
Within 12 months, you’ll:
- Have materially improved conversion for a portfolio of customer apps, with clear before/after stories
- Help define our strategy for paywall templates and monetization UX guidance at scale
- Represent RevenueCat in public‑facing educational content (webinars, AMAs, workshops, or conference talks) as a leading voice on mobile monetization UX
WHAT WE OFFER:
- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- A fully remote environment designed around autonomy and flexibility
- 4-5 weeks of flexible time off annually
- Paid desk at a co-working space
- Workspace budget and continuous learning stipend
INTERVIEWING AT REVENUECAT
Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed.
MORE ON HOW WE WORK:
- How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21
- The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/
- How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/
- What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21
- What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21
Location: Remote - U.S.
About Airship
Airship is trusted by world’s leading brands such as Alaska Airlines, BBC and The Home Depot to drive revenue growth and customer loyalty with exceptional cross-channel customer experiences. Today, brands are challenged to deliver seamless, unified customer experiences across a fragmented array of channels and devices— apps, websites, email, SMS, wallets and more.
Airship’s no-code, AI-powered platform was designed with non-technical, growth-focused teams in mind, making it easy to create, test and orchestrate hyper-personalized experiences across all channels. With the ability to easily enrich customer data and rapidly launch growth experiments, Airship enables brands to deliver consistent, meaningful interactions that accelerate conversion and foster deeper customer relationships.
We invite you to be part of our journey in building products and delivering services that touch millions of customers around the world every day.
To learn more about us, visit
www.airship.com
, read our
blog
or follow us on
LinkedIn.
About the Role
Airship is looking for an Information Security Architect to own the design and evolution of our security architecture across cloud infrastructure, applications, and the CI/CD pipeline. You'll be Airship's technical authority on secure-by-design systems, partnering with Engineering, Platform, and Product teams to embed security into every phase of the development lifecycle.
This is a hands-on architecture role. You'll conduct threat modeling, perform architecture reviews, define security standards and reference architectures, and drive secure design patterns across Airship's GCP-based environment. You'll also evaluate emerging technologies, including AI and generative AI platforms, to identify security risks and define secure adoption patterns.
Why This Role
Depth over breadth.
You'll focus on what matters most: securing Airship's cloud infrastructure and CI/CD pipelines, conducting threat modeling, and shaping architecture decisions
GCP at the core.
Airship runs on Google Cloud Platform. You'll work deeply with GCP-native security capabilities, defining guardrails, segmentation patterns, logging standards, and workload protection across the platform
Secure the pipeline, secure the product.
CI/CD pipeline security is a primary focus. You'll design and implement controls that protect the software delivery lifecycle from code commit through production deployment
AI-forward security.
You'll evaluate and secure AI and GenAI platforms, define usage patterns for AI-assisted development tools, and help establish security architecture for Airship's AI-enabled features
Fully remote, flexible culture.
Airship's Digital First approach means flexible, remote work is the norm, with a team that collaborates across timezones and geographies every day
Room to grow.
This role is a path toward senior security architecture, security leadership, or deeper cloud security specialization
What You'll Do*
Design, develop, and maintain Airship's security architecture, including reference architectures, secure design patterns, and technical security standards
Perform security architecture reviews for enterprise applications, cloud platforms, infrastructure services, and technology integrations, ensuring alignment with security standards and risk posture
Conduct threat modeling and technical risk assessments to identify security gaps and recommend mitigation strategies
Define and implement cloud security guardrails, network segmentation patterns, logging standards, and access control models across Airship's GCP environment
Partner with Engineering and DevOps teams to integrate security controls into the CI/CD pipeline, including secure build processes, container security, Infrastructure-as-Code (IaC) security, secrets management, and software supply chain integrity
Evaluate proposed architecture and design changes from engineering teams, analyze their security impact, and make recommendations
Assess emerging technologies (including AI platforms, generative AI tools, and AI-assisted development technologies) to identify security risks and define secure usage patterns
Develop security guidance for API security, application authentication (SAML, OAuth2), encryption, and identity and access management
Research security trends, emerging attack methods, and new classes of vulnerabilities to proactively reduce the risk of breach
Leverage AI-enabled tools and automation to improve security analysis, architecture review workflows, and threat detection
Partner with security tooling teams to evaluate enterprise security tools for architectural fit, integration models, and long-term scalability
Participate in the Security on-call rotation and respond to incidents
Provide technical security guidance for complex customer inquiries that require deep architectural expertise
Mentor colleagues across the organization on secure design principles and security best practices
*Duties described are not a comprehensive list. Additional tasks may be assigned from time to time, and responsibilities may be amended at any time at the sole discretion of the Employer.
What We're Looking For
8+ years of experience in information security, security architecture, cloud security engineering, or a related technical discipline
Deep expertise in Google Cloud Platform (GCP) security, including native security capabilities, cloud architecture patterns, and workload protection
Hands-on experience securing CI/CD pipelines, including container security, IaC security, secrets management, and DevSecOps practices
Experience conducting threat modeling for complex, distributed systems using standard methodologies
Experience performing security architecture and design reviews for cloud-native applications and infrastructure
Proficiency in at least one scripting language (e.g., Python, Java, Bash/shell)
Working knowledge of network security concepts, including segmentation, Zero Trust principles, firewalls, and access control models
Working knowledge of identity and access management concepts, including SSO, MFA, federation, and least-privilege access
Strong understanding of application security, including OWASP, API security, secure SDLC practices, and authentication protocols (SAML, OAuth2)
Working knowledge of how to protect and administer macOS, Linux, and Windows systems
Ability to translate security requirements into practical, scalable technical solutions
Strong written and verbal communication skills, with a talent for explaining complex security concepts to both technical and non-technical audiences
Experience experimenting with AI tools in your personal or professional life
We'd Be Delighted If You Also Have
One or more industry certifications (e.g., CISSP, CCSP, Google Cloud Professional Security Engineer, OSCP, GIAC certifications)
Experience with enterprise security technologies such as Splunk, CrowdStrike, Rapid7, Vanta, Okta, and DLP solutions
Familiarity with AI security concepts, secure AI platform adoption, and AI risk frameworks (e.g., NIST AI RMF, ISO 42001)
Experience developing security reference architectures, design patterns, and technical standards documentation
Experience with Kubernetes security, container orchestration, and cloud-native security tooling (CSPM, CWPP)
Knowledge of data security practices including encryption, data classification, DLP, and key management
Experience evaluating third-party technologies and conducting technical security assessments for vendor platforms
Work Location & Travel Requirements
Airship’s ‘Digital First’ approach to work means that for the majority of our roles, work can be performed remotely, either some or most of the time. Airship believes that flexible work contributes to a more productive and more equitable work environment, and that Airshippers are able to collaborate, innovate, and support one another across different locations and timezones.
Some roles may require that employees perform their work from a specific location to support business activities, and/or be within proximity to an Airship office location or customer or partner locations, while other roles can be performed 100% remotely.
This position is
fully remote
and may require
up to 10%
travel based on business needs or as requested by your manager.
Compensation
Starting Pay Range:
$130,000-$160,000 USD per year
This is a good faith estimate of the base compensation we reasonably expect to pay for this position upon hire. Actual starting pay may vary based on factors such as relevant skills, work experience, market demands, and location. All offers include stock options so employees have the opportunity to benefit from Airship’s success.
Benefits & Perks
Competitive medical, dental, and vision insurance options for you and your dependents
Flexible time off, company paid holidays, paid parental leave, and paid volunteer time off
Support for your overall wellbeing with mental health and wellness resources
Employer-subsidized life insurance as well as short-term and long-term disability
A digital-first work environment and a monthly stipend to support remote work
Mentorship and growth opportunities to build skills and accelerate professional development
And more!
We use artificial intelligence tools in our recruitment process as decision-support tools only. Airship's People Operations team reviews all AI-generated scores and recommendations before making any hiring determination. No applicant is rejected solely on the basis of an AI-generated output. Depending on your location, you may have the right to request human review of any AI-assisted employment decision or to opt out of AI evaluation. To make a request or learn more about how we use AI in hiring, contact
privacy@airship.com
or visit
airship.com/legal
.
California residents can view the CCPA disclosure notice
here
.
**
Please Note:
To ensure the security of your personal information, Airship will only contact candidates through email addresses ending with “@airship.com”.
Hiring Commitment
Airship is committed to fostering a diverse work environment and providing equal employment opportunities to all applicants and employees. We welcome your application and our hiring and employment decisions are made irrespective of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. In alignment with our commitment to equal opportunity, Airship will consider for employment all qualified applicants, including those with criminal histories, in a way that adheres to the principles of fairness and the requirements of local Fair Chance laws, where applicable.
By submitting this application, I affirm that the facts set forth in it are true and complete to the best of my knowledge. I understand that if I am employed, false statements, omissions, or misleading information given in my application, interview(s), or in a background check may result in dismissal.
Location: APAC; Americas (EST only); EMEA
Workplace: Remote
RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.
We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.
We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.
This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.
THE ROLE:
We are looking for a Senior, proactive Software Engineer to join our Devops/Devex engineering team and help building and scaling the internal development platform. You would be building the tools, services and automations that empower the rest of our engineering team to ship safely and fast.
RevenueCat invests heavily in tooling. We already have custom services for CI/CD, automated one-push-per-commit releases with automatic canaries, Feature Flags, DB query approval workflows, VPN access workflows. We are using Pulumi and python for IaC to describe k8s services and associated infrastructure in a single place. We want to provide autonomy, build a self-serve culture that allows teams to move fast but ensures safety and best practices.
The advent of IA and agentic development is going to change a lot of things, and you will help shape this future fostering adoption while ensuring our security and architectural standards remain sane.
Your job is to take all this to the next level.
ABOUT YOU:
- You are a Builder: You don't just use tools; you build them. You have 5+ years of experience in SRE, DevOps, DevEx or Platform Engineering with a heavy emphasis on software development.
- You are Proactive: You see what is needed, you take action and own problems to turn them into solutions.
- You love building frameworks, abstractions and automation: You see that the best way to ensure best practices are follow is to make something so easy and joyfull to use that nobody wants to use anything else.
- You are AI-Curious: You understand how LLMs and AI coding tools are changing engineering and want to help a world-class team leverage them effectively.
- You move fast, test and iterate quickly.
PREFERRED EXPERIENCE:
- Experience with AWS cloud, k8s, docker, IaC, github.
- Solid knowledge of Python
IN THE FIRST MONTH, YOU'LL:
- Meet your team!
- Get up to speed on our unique infrastructure-as-code patterns.
- Familiarize yourself with our existing internal tools for releases, canaries, and access control.
- Ship your first project—improving an existing tool or automation.
WITHIN THE FIRST 3 MONTHS, YOU'LL:
- Be able to scope and work on tasks self-sufficiently.
- Understand most of our internals tools and feel confident making changes to them.
- Start oncall training.
- Participate in code reviews, design reviews, brainstorms.
WITHIN THE FIRST 6 MONTHS, YOU'LL:
- Design and ship major initiatives and have a positive impact in the engineering team.
- Collaborate closely with other engineers, creating ties, understanding their painpoints and starting to become more involve in the roadmap and prioritization of new initiatives.
WITHIN THE FIRST 12 MONTHS, YOU'LL:
- Be the go-to expert for our internal platforms, services and infrastructure abstractions.
- Have your own initiatives for improving DevOps and DevEx
- Lead AI tool adoption across the engineering org, following well-stablished patterns for safety and simplicity.
WHAT WE OFFER:
- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- A fully remote environment designed around autonomy and flexibility
- 4-5 weeks of flexible time off annually
- Paid desk at a co-working space
- Workspace budget and continuous learning stipend
INTERVIEWING AT REVENUECAT
Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed.
MORE ON HOW WE WORK:
- How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21
- The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/
- How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/
- What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21
- What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting consumers and merchants while balancing fraud loss, customer experience, and conversion. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as fraud patterns evolve.
What you’ll do
- You will lead development of new fraud prediction models using a mix of approaches for tabular, graph, and behavioral data
- You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed.
- You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls.
- You productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness.
- You will instrument and monitor model and data health, and help define retraining/backtesting workflows as fraud patterns evolve.
- Identify and implement foundational improvements to how the team builds models.
- You will collaborate across Engineering, Fraud Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences.
What we look for
- You have 6+ years experience researching, training, tuning and launching ML models at scale. Relevant PhD can count for up to 2 years of experience.
- Track record of delivering high impact machine learning models in a low latency live setting
- Strong Python skills and experience writing production-quality code.
- Experience building and evaluating models for tabular classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost, or similar).
- Experience with a deep learning framework (PyTorch preferred).
- Experience working with distributed data processing or parallel compute frameworks (Spark preferred; Ray/Dask or similar).
- Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms).
- Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows.
- You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.
- You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
- Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
- You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Pay Grade - N
Equity Grade - 6
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year: $153,000 - $213,000
Location - Remote Canada
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote - Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
Your job is to build Alpaca's algo trading platform to satisfy our users who expect high quality and performance from their brokerage service. This opportunity is similar to joining AWS or Heroku in their early days, designing and architecting our platform by wearing many different hats in our small team. As an experienced engineer, you will write tons of code and make critical decisions about delivering the best experience to our customers. This certainly requires deep knowledge in both frontend and backend, databases and distributed systems, as well as broad experience from low to high level in CPU-level hardware for high throughput, robust concurrency system design, abstract distributed system architecture for high availability and object-oriented data modeling with long term growth in mind. Joining an early stage startup, the payoff to this highly demanding environment will be worth the effort.
You must have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading).
Who You Are (Must-Haves):
Strong, experienced software engineer with lead experience is preferred
Coding skills in both low and high level languages around C/C++, Go, Zig, Rust, Java, Scala, Python
Low latency and high throughput optimization
Experience with messaging queues and message brokers
Analytical data-oriented mindset and skills
Knowledge of algorithms, distributed systems, scalability, high availability, databases, low latency systems and concurrency control
System design skills with object-oriented data modeling, service-oriented architectures, system abstraction
Experience with the development and implementation of Order Management systems (OMS) and Risk Management systems (RMS)
Who You Might Be (Nice-to-Haves):
Algo trading experience (either professional or personal)
FIX protocol knowledge
Experience with observability, tracing, continuous profiling and benchmarking
Financial market (exchange, broker-dealers, clearing, etc.) knowledge
Experience with financial ledgers
Statistical and quantitative analysis skills
Experience with major cloud platforms (we primarily use GCP)
Experience with Docker and Kubernetes
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
ОфисAlmaty, Kazakhstan; Relocation support to Almaty for candidates moving from another city or country
ГибридBerlin
leadAustralia; Sydney, New South Wales, Australia
Зарплата не указана
seniorГеография найма не уточнена
San Francisco, CA | New York City, NY
seniorNew York City, New York
New York City, New York
УдалённоseniorYou’re comfortable working in a fully remote, distributed team and collaborating across time zones; APAC; EMEA
УдалённоRemote - U.S.; Airship's Digital First approach means flexible, remote work is the norm, with a team that collaborates across timezones and geographies every day; Airship believes that flexible work contributes to a more productive and more equitable work environment, and that Airshippers are able to collaborate, innovate, and support one another across different locations and timezones