Location: South Korea
Workplace: Remote
As Head of Regional Marketing, APJ, you will lead ClickHouse's regional marketing strategy across APJ, building awareness, generating pipeline, and accelerating revenue. You will build and lead the regional marketing team while partnering closely with APJ sales leadership as part of the go-to-market team, and adapt global campaigns to the distinct needs of markets across the region. You will be measured on enterprise pipeline and self-service revenue (MRR), working across both our self-serve, product-led motion and our sales-led enterprise motion.
What You Will Be Doing
- Own the APJ regional marketing strategy, annual plan, and budget, aligning field programs to regional pipeline and revenue targets in partnership with sales leadership.
- Build, lead, coach, and grow a team of regional marketers, setting clear goals, developing talent, and building a high-performance culture.
- Serve as the marketing counterpart to APJ sales leadership, participating in regional forecasting, QBRs, and account planning so marketing investment maps to sales priorities.
- Partner with growth and demand generation to support the commercial sales team's product-led motion, converting self-serve usage into commercial pipeline and expansion revenue.
- Develop an integrated regional program mix spanning first-party hosted events, third-party conferences, virtual events, ABM plays, digital advertising, and partner marketing.
- Adapt global campaigns, messaging, and content for APJ markets, and establish scalable processes for campaign planning, lead management, and follow-up with marketing operations and global demand generation, so every program has a clear path from engagement to pipeline.
- Track, analyze, and report on regional marketing performance, including pipeline generated and influenced revenue.
- Identify emerging market opportunities across APJ, making the case for new investments in geographies, verticals, or channels, and represent the region in global planning cycles.
What You Bring Along
- 10+ years of experience in field, regional, or integrated marketing within the database, data analytics, infrastructure, or developer tooling space
- Deep experience marketing across APJ markets
- Demonstrated success owning a pipeline number and driving measurable revenue impact through regional marketing programs
- Proven ability to partner with sales leadership at the VP level
- Experience working in a remote-first, globally distributed organization, with the ability to collaborate across time zones
- Comfortable with ambiguity and energized by building in a fast-paced, high-growth environment
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
УдалённоheadSouth Korea; Experience working in a remote-first, globally distributed organization, with the ability to collaborate across time zones
Location: Illinois; Dallas; Oklahoma; Austin; Houston; Arkansas; Texas
Workplace: Remote
About the Role
We are seeking an experienced Senior Solutions Engineer to join our growing team at Cyberhaven. In this role, you will drive go-to-market initiatives by leading prospect engagements, including demos and proofs of concept. You will be part of a collaborative and supportive team that is always ready to assist one another. We serve as advisors in data protection, addressing the challenges organizations encounter. Our team thrives on tinkering, building, and developing solutions for emerging challenges. We are experts in industry advancements, competitive threats, and adjacent market technologies.
What you’ll do
- Support the Enterprise Sales teams with opportunities in a pre-sales capacity from qualification through production hand-off. Generally, these accounts have more than 2,500 employees.
- Learn, create, and deliver compelling messaging and demonstrations of products and solutions that differentiate from competitors or legacy solutions, including how the platform secures data and AI use across the enterprise.
- Demonstrate multiple products within the platform in a single narrative, showing how they work together to solve complex business problems.
- Guide technical evaluations via POC ownership and manage the evaluation process to a successful conclusion.
- Advise customers on securing AI adoption, including emerging agentic AI use cases, and translate their risks into clear technical and business outcomes.
- Maintain key partner technical relationships and effectively enable and demonstrate channel partners to excel in a channel-driven sales model.
- Collaborate with Product Management and Engineering teams on new feature releases and provide feedback on current feature capabilities based on field experience/input.
Who you are
- 7+ years experience as a Sales Engineer (or similar), i.e. complex pre-sales and/or deployment of complex enterprise solutions, especially in a SaaS sales environment
- 4+ years experience with data protection and AI security solutions (DLP, IRM, DSPM, CASB, AI-Security)
- Proven ability to demo and run POCs across multiple products within a single platform, tying them together to solve complex, cross-functional business problems
- Current knowledge of Agentic AI architecture (e.g., agents, tool use, MCP, autonomous workflows) and how to secure it
- 4+ years experience with a cross-platform endpoint agent solution (Windows, Mac, and/or Linux)
- Ability to travel to cover events and conferences
- Strong sales presence and superior communication skills
- Proven ability to multitask and prioritize under pressure
- Ability to problem-solve, both independently and as part of a team
- Must be located in the TOLA region of the US.
Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It.
Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe.
AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.
Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Location: Remote - Canada, Remote - India
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:
We're seeking a Senior Brokerage Operations Associate (Canada). An experienced individual contributor who has lived dealer, clearing, and custody reality and designs every process as if manual work is temporary.
You turn CIRO-aligned operating requirements into scalable, automated, auditable workflows that Product and Engineering can build against. You partner closely with the ACCC President / UDP, Compliance, Product, Engineering, and global Ops. Someone who influences through expertise, crisp documentation, and decision logs, not through a team.
Success is measured by launch readiness, STP and control quality, registered-account / tax operability, and systems others can run and not by headcount or heroic spreadsheet ops.
What you'll walk into:
You won't be starting from zero. You'll be owning live problems:
Getting ready to open: figure out how we open and maintain accounts, process trades, and hold client cash and securities on day one. Build that for ACCC rather than copying a manual process from another firm.
Working with partner brokers: define how a partner firm and ACCC split the work on accounts, trades, and holding client assets, so it still works as volume grows.
After the trade: settlement in Canada (through CDS), trades that fail to settle, and corporate actions such as dividends and splits. Automate the routine cases and keep a clear list of exceptions, instead of running the book in spreadsheets.
Registered accounts and tax: TFSA, RRSP, RESP, and similar accounts. Cover who can open them, contribution rules, what a security cost, tax withheld on dividends and other income, and the reports clients and partners need.
The day after launch: written steps for daily work, checks that our records match the custodian and the market, contacts at vendors and custodians, and a plan if a system or vendor fails. Have these ready before real client volume shows up.
Building Canada: clear handoffs between product, engineering, and operations teams.
What you’ll own:
Account lifecycle & client/introducing-broker servicing (onboarding handoffs, KYC/AML ops interfaces, maintenance, transfers)
Trade lifecycle (capture, affirmation, clearing, settlement, fails, breaks)
Custody & asset servicing (segregation, security movements, corporate actions, cash)
Books & records, reconciliations, exception management, and operational controls
Registered accounts & tax ops: TFSA, RRSP, RESP and related wrappers; tax lots / cost basis; withholding; local reporting partners need to stay compliant
Day-2 production ops: runbooks, escalations, vendor/custody interfaces, BCP/DR operational playbooks
How you’ll work:
Translate Canadian reality into runnable process
— CIRO-aligned dealer/clearing/custody expectations, introducing–carrying dynamics, custody controls, and operational risk into SOPs, RACI, controls, and exception paths Product and Engineering can build against
Automation-first by default
—
redesign high-volume / high-risk / high-friction work for straight-through processing, rules, exception queues, and measurable SLAs, instead of spreadsheet heroics
AI-first operating lens
— Prototype and productize AI-assisted ops (exception triage, recon investigation, SOP Q&A, control-testing support, runbook copilots) with human oversight where risk or regulation requires it
Go-live and beyond
— Readiness for ACCC launch and early production; continuous improvement after go-live
Raise the bar without managing a team
— Coach partners through expertise, crisp documentation, and decision logs; leave systems others can run
How we'll measure success:
Launch readiness gates met with documented controls, SOPs, RACI, and runbooks Product / Eng / Ops can execute against
STP, exception, and reconciliation aging targets defined and trending the right way post go-live
Registered-account and tax workflows ready when partners launch, rather than added later
Specs and decision logs that remove re-discovery for Product and Engineering
Systems and playbooks others can run after you, so knowledge sticks in the org and not only in one person's head
Who you are (Must-haves):
10+ years of hands-on experience supporting Canadian brokerage operations, including experience within a CIRO-regulated dealer, carrying broker, custodian, clearing firm, or global operations team servicing the Canadian securities market. Candidates may be based in Canada or India, provided they have demonstrated Canadian market expertise.
Fluent in the plumbing: clearing / settlement, custody, CDS / CDSX (or equivalent), fails, corp actions, tax, cash / securities ops, account servicing, introducing / carrying arrangements
Demonstrated depth in at least two of: clearing / settlement; custody & asset servicing; books & records / reconciliations; registered accounts & tax
Regulatory-literate (CIRO / provincial securities / CSA context). You design operable controls, and you are not the UDP or compliance sign-off owner
Builder: you've redesigned and shipped process + tooling changes that stuck, not only run BAU
Practical with automation and AI (workflow automation, rules engines, RPA, or AI-assisted ops). You know where AI helps and where controls must stay deterministic
Exceptional written communication: SOPs, RACI, decision logs, and requirements that cross-functional teams can ship against
Who you might be (Nice-to-haves):
Greenfield Canadian dealer / clearing / custody stand-up
API-first or broker-as-a-service / correspondent platforms
US and Canada dual-entity operations
Deep CDS / CDSX or Canadian market-infrastructure experience
Registered-account or Canadian tax-ops stand-up (TFSA, RRSP, RESP, tax lots, withholding, reporting)
AI-native ops workflow: recurring use of tools like Cursor, Claude, ChatGPT, or custom agents for SOP drafting, exception synthesis, and prototyping
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: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU'LL DO
When someone calls an airline, texts a retailer, or opens their bank's app and talks to a Sierra agent, our systems carry that conversation. Phone calls, SMS, WhatsApp, email, and the chat inside our customers' apps all run through this team.
AI voice, chat, and messaging agents are new and they must operate with global communication networks. Nobody has fully solved how to make the two work together at the speed of a real conversation. We have to solve it for millions of calls, and you will be building the future of how entire industries will operate with AI agents.
Demo: Finding the perfect stay https://sierra.ai/resources/videos/demo-finding-the-perfect-stay
Demo: Flight disruption recovery https://sierra.ai/resources/videos/demo-flight-disruption-recovery
- Multi-modal: Make one conversation work across voice, text, and screen. A customer can start by talking, switch to typing on a crowded train, send a photo of a broken part, and get a link or a form back on screen. The agent remembers everything, whichever way the customer talks and personalizes it. You will build on the frontier here, and decide what it should feel like.
- Make AI voice feel like a real conversation. Every call crosses carriers, telephony networks, and contact centers around the world before it reaches our agent. Making AI agents feel lively and real across global infrastructure is a critical problem to get right for end users.
- Give personal AI agents a safe way in. More people now have their own AI assistants. Today a company can either block them or hand them the user’s full account access. The Personal Agent Protocol https://personalagentprotocol.org/ is an open standard that offers a better option: a safe way for personal agents to work with a company and its Sierra agent. You’ll help build it.
- Build the agent experience inside the app. ChatKit is our library of native iOS, Android, and web components for talking to an agent. It covers voice controls, live waveforms, transcripts, and chat. Customers use it to build an agent experience inside a customer’s flagship app, not like a widget added on top. You decide what those components are and how they behave.
- Get every call to the right agent. You’ll build and own our global telephony stack: SIP, WebRTC, the Sierra Voice Protocol and our integrations with major contact-center platforms. That means millions of calls and messages, and every one of them reaching the right agent.
- Put Sierra on every channel. SMS, WhatsApp, RCS, email, LINE, Messenger and Instagram. You’ll build the tools that let developers launch a new channel on their own, delivering value in hours not weeks.
WHAT OWNERSHIP LOOKS LIKE
- A bias for shipping. You move fast, and you finish what you start.
- Curiosity about the hard parts. You go deep where other engineers avoid going: protocols, edge cases, and end to end multi-modal experiences.
- An AI-native way of building. You not only use AI tools every day, it is ingrained in the way you operate and think. You’ve deleted all old priors and re-invented the way you and your teams work from the ground up. Come ready to tell us about something you built that you couldn’t have built 6 months ago.
- An obsession with the details. When one call in ten thousand fails, you want to know why. You obsess about the product experience and pixels as much as you do latency and reliability.
- Strong backend fundamentals. You can also work comfortably across backend, infra, mobile and web.
- 3+ years building production software that real users depend on.
WHAT YOU'LL BRING
- A passion for being on the frontier of AI products.
- Pride in building reliable, maintainable, and secure systems that scale.
- Motivation and high-agency to drive outcomes in a high-autonomy culture.
- 4+ years hands-on experience building production systems.
- Degree in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- Experience building AI products for enterprise or consumers
- Experience building native SDKs for iOS (Swift) or Android (Kotlin)
- Experience building messaging apps, voice apps or voice agents
- Experience with SIP, WebRTC, Twilio or contact-center platforms
- Experience with real-time, low-latency distributed systems
None of these are required. If the problems above excite you, we’d love to hear from you.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls.
You’ll build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. This is a distributed systems problem with an unusually high correctness bar. The system has to be right to the cent, replay cleanly and explain any number as of any date, at that volume. You will shape its architecture. Its users include Claude agents, which read and write through the same APIs and controls as people.
You’ll work closely with SWEs in Billing, Compute and Infra on shared contracts and APIs, and with product owners, finance operations and internal audit to turn accounting and controls requirements into designs. You don’t need a finance background. If you have built backend systems where correctness matters, we will teach you the domain.
Responsibilities
Design and build the front door into finance and its governed contracts: APIs for apps and agents, an event bus for systems that publish, adapters for vendor apps and reports, data-quality gates, and processing that posts every event exactly once, with replay and backfill
Drive the build of the accounting ledger and engine: an append-only ledger with idempotent posting, a rules framework that turns business events into journal entries, translation into the ERP, and period locks
Design and build the SDKs and frameworks that finance apps and agents build on
Build controls into the platform as code: immutable audit trail, maker-checker, scoped access and segregation of duties
Build and run the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow, and own their reliability: uptime, latency, throughput and correctness targets agreed with those teams
Shape the platform’s technical direction: architecture, engineering standards and design reviews
Minimum qualifications
Strong backend engineering in a statically typed language such as Go, Java or Rust, or Python at scale
Experience designing and running high-volume, event-driven systems (publish/subscribe, streaming) with idempotent processing, replay and backfill
Experience designing relational data models and writing SQL for complex, versioned data
Experience designing APIs, SDKs and service-to-service integrations used by other teams
Experience building systems with auditability, access control or compliance requirements
Experience turning requirements from non-engineering partners into technical designs
Strong written and verbal communication, including design docs
Preferred qualifications
10+ years of experience
Experience building developer platforms or paved paths
Experience with streaming systems such as Pub/Sub or Kafka
Experience building with LLMs and agents, including MCP
Built a ledger, sub-ledger, billing or payments system
Familiarity with accounting concepts: double-entry, journal entries
Familiarity with internal controls and audit concepts: audit trails, segregation of duties, change management
Exposure to ERP or financial systems, such as Workday Financials
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls.
We're looking for an Engineering Manager to lead the engineers who build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. You’ll hire and grow the team, and hold the bar for how the platform is built and run in production. Its users include Claude agents, which read and write through the same APIs and controls as people.
You'll partner with engineering teams in Billing, Compute and Infra on shared contracts and APIs, and with product owners and finance operations, who set the priorities and define the needs. You don't need a finance background. If you have led teams that build backend systems where correctness matters, we will teach you the domain.
Responsibilities
Lead and grow a team of engineers: hire, coach and hold a high bar for engineering quality
Own delivery of the front door for finance events and its governed contracts, and the accounting ledger and engine, so every event is posted exactly once and can be traced back to its source
Be accountable for the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow
Make sure finance apps and agents have the platform support they need: SDKs and frameworks, scoped access, SOX guardrails, observability, and the capabilities finance needs that claude products do not provide out of the box
Define and own the reliability and correctness bar: SLOs on the services other teams call, tests that check key upstream calculations on every change, and daily accuracy and completeness checks from source to books
Align on technical design, data contracts and APIs with engineering leaders in Billing, Compute and Infra
Drive down the time it takes finance to support a new product, program or compute buildout
Minimum qualifications
Have led teams that build and run high-volume backend systems where correctness matters, such as ledgers, billing, payments, metering or other systems of record
Have built or run event-driven systems with idempotent processing, replay and backfill, and know what it takes to keep them correct in production
Have sound judgment on platform boundaries, data contracts and API design
Have hired and grown engineers, and set engineering standards for platforms
Work well across functions, with upstream engineering teams, finance and auditors, and explain technical trade-offs clearly to non-engineering partners, in writing and in the room
Preferred qualifications
Have 3+ years of engineering management experience, with 8+ years total in the industry
Built developer platforms or paved paths used by other builders
Worked with Go and with streaming systems such as Pub/Sub or Kafka
Built with LLMs and agents, including MCP
Built or run a ledger or sub-ledger, with a working knowledge of double-entry accounting
Managed teams through audit and compliance work, such as SOX change management, segregation of duties and audit trails
Worked with ERP or financial systems, such as Workday Financials or Oracle Financials
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 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: Tallinn, Harjumaa, Estonia
Welcome to
Torrero
— an all-in-one source for cutting-edge white-label casino, sportsbook solutions, and B2B aggregation. Built on a foundation of trust and compliance, we offer an extensive library of 30,000+ games sourced from diverse providers, positioning Torrero as a preferred partner for iGaming businesses worldwide.
With a wide range of sports events, convenient payment options, and support for 35+ languages, we make gaming accessible to players around the globe.
If you enjoy a fast-paced, dynamic environment with a startup mindset, passionate people, and opportunities to make a tangible impact, we invite you to join us on our journey as we continue to grow and expand our business.
About the Role
We are looking for an experienced
Head of KYC (CDD/EDD)
to lead and develop our KYC team, ensure the accuracy and consistency of player verification decisions, and strengthen our Customer Due Diligence (CDD) and Enhanced Due Diligence (EDD) processes.
You will be responsible for establishing effective quality control procedures, identifying recurring errors, improving operational workflows, and ensuring that KYC specialists apply internal policies and regulatory requirements consistently.
The role requires close collaboration with AML, Responsible Gambling (RG), Compliance, Customer Support, and Technical Support teams to resolve complex cases, improve information flows, and ensure a consistent approach to player verification and risk management.
We are looking for a hands-on leader who can combine strong technical KYC/EDD expertise with people management, practical training, and continuous process improvement.
You will be doing:
Lead day-to-day KYC operations, ensuring accurate and timely CDD/EDD processing.
Establish and maintain quality assurance procedures to identify errors, inconsistencies, and compliance gaps.
Analyse recurring mistakes, identify root causes, and implement corrective actions.
Review complex and high-risk cases, including PEPs, adverse media, source of funds, and source of wealth assessments.
Monitor team performance, quality metrics, processing times, and adherence to SLAs.
Lead, mentor, and train KYC specialists, providing regular feedback and coaching.
Develop training materials, internal guidelines, checklists, and improvement plans.
Maintain and improve KYC procedures and internal controls in line with applicable regulatory requirements.
Ensure accurate case documentation and support internal and external audits.
Collaborate with AML, Compliance, and Responsible Gambling teams on risk assessments and escalations.
Work closely with Customer Support, Technical Support, and Payments teams to resolve KYC-related issues.
Identify process inefficiencies and drive improvements in workflows, tools, and verification accuracy.
Your Expertise to Meet the Requirements:
Proven experience in KYC, CDD, and EDD within iGaming, online gambling, fintech, banking, or financial services.
Previous experience leading, supervising, or mentoring a team, ideally in a high-volume operational environment.
Strong knowledge of AML/KYC principles, customer risk assessment, identity verification, PEP screening, adverse media screening, and risk-based due diligence.
Practical experience handling complex EDD cases, including source of funds and source of wealth assessments.
Good understanding of relevant regulatory and licensing requirements, particularly those applicable to the EU, Malta Gaming Authority (MGA), UK Gambling Commission (UKGC), or other relevant iGaming jurisdictions.
Experience designing or implementing quality assurance processes, conducting case reviews, and analysing operational errors.
Strong analytical skills and excellent attention to detail, with the ability to make well-reasoned decisions in complex cases.
Excellent communication and interpersonal skills, with the ability to work effectively across multiple departments.
A proactive, hands-on approach, with a strong sense of ownership and accountability.
Fluency in Russian & English, both written and spoken.
We offer:
Competitive salary
Private health insurance
Sports benefit
Annual paid vacation for 28 calendar days
3 paid sick days a year without medical certificate
Seniority leave
Birthday Day off
Regular team and company events
Comfortable office in the centre of Tallinn with the flexible working schedule
Top notch work equipment
Amicable work environment and supportive team members
Real career opportunities and professional growth
The great team across the world
Hiring Stages:
HR Introductory call
Panel Interview with stakeholders
References check
Job offer
Location: Netherlands; Germany; Poland; Spain; Portugal; Estonia
Our client is an international TravelTech company developing technology solutions for the global travel industry. The company builds digital products that help businesses streamline and automate complex travel-related operations.
One of the company's key areas is crew travel management for the maritime and aviation industries, where customers need to coordinate frequent and often last-minute travel changes across international teams and locations.
As the company continues to grow, it is building its Sales Development function from the ground up and is looking for a
Sales Development Representative
(SDR) focused on Maritime & Aviation.
This is a unique opportunity to become the first SDR in the company, help establish the outbound sales process, and build the foundation for a growing SDR team. The role also offers a clear development path toward Account Executive, based on performance and the quality of the pipeline you generate.
The position is fully remote and open to candidates based in the EU.
Your tasks on the position:
Own a portfolio of named accounts within the maritime or aviation industry
Research target companies, decision-makers, and relevant business triggers to identify high-potential prospects
Build and execute personalized multichannel outbound sequences across email, LinkedIn, and phone
Conduct cold outreach and initiate conversations with operational decision-makers
Qualify prospects through meaningful two-way conversations and identify genuine business needs and sales potential
Generate qualified opportunities and hand them over to Account Executives for further development and closing
Use research and data to personalize outreach rather than relying on generic mass messaging
Use AI tools for lead enrichment, research, and first-draft outreach, adding your own judgment and personalization before engaging prospects
Maintain accurate and up-to-date information in the CRM
Track your pipeline and performance against agreed targets
Analyze which messages, channels, and approaches generate the strongest conversion
Share market and prospect feedback with the Sales team and contribute to improving the outbound playbook
Work closely with Account Executives to ensure smooth opportunity handover and strong pipeline quality
The role is designed around proactive outbound prospecting rather than inbound lead follow-up
Requirements
At least 8-12 months of hands-on SDR/BDR experience in cold outbound sales
Proven experience generating pipeline through proactive outbound prospecting rather than primarily working with inbound leads
Ability to demonstrate previous pipeline targets and attainment with specific results or metrics
Strong research-led prospecting skills and the ability to identify relevant business triggers and build personalized outreach around them
Recent hands-on experience with cold calling and confidence speaking with prospects by phone
Experience running outbound sequences across email, LinkedIn, and phone
Hands-on experience with a CRM such as Salesforce, HubSpot, or Pipedrive
Experience with prospecting and data-enrichment tools such as Apollo, Clay, or similar platforms
Strong CRM discipline and understanding of the importance of accurate pipeline data
Ability to work independently and stay productive in a remote-first environment
Research-driven and personalized approach to prospecting
Strong communication skills and a positive, confident phone presence
Fluent business English
Current location within the European Union
Ability to work extended hours several days per week to provide overlap with US Eastern business hours, which may mean working until approximately 19:00-21:00 local time
Availability for a full-time contractor role
Will be an advantage:
Previous experience in the maritime, aviation, or travel industry
Experience selling B2B SaaS solutions to mid-market or enterprise customers
Understanding of crew travel, fleet operations, manning agencies, flight departments, or other operational travel environments
Experience using LinkedIn Sales Navigator, lemlist, or similar sales engagement tools
Experience incorporating AI tools into prospect research, enrichment, or outreach workflows
Knowledge of additional languages besides English
Previous experience helping build or improve an outbound sales process or playbook
Benefits
Fully remote work format within the EU
Opportunity to become the first SDR in the company and help build the outbound sales function from the ground up
Clear career development path toward an Account Executive position based on demonstrated performance and pipeline quality
Opportunity to work in the international TravelTech industry with specialized Maritime & Aviation markets
Exposure to international B2B customers and complex operational use cases
High level of ownership and the opportunity to directly influence the company's outbound sales strategy and playbook
Modern sales environment with access to CRM, prospecting, data-enrichment, and AI tools
25 days of annual leave plus 10 public holidays, which can be used flexibly according to the candidate's country
Sick leave and special leave options
Full-time B2B contractor engagement with an international company
Location: San Francisco Bay Area
Workplace: Hybrid
At Sanity.io http://Sanity.io we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew are using Sanity to power and automate their content operations.
We are looking for a Head of FP&A & Strategic Finance to translate complex business dynamics into action. This is a role for a strategic partner who views financial planning, business data, and partnering as levers for faster, better decision-making. You will actively shape resource allocation, performance measurement, and our long-term strategy.
WHAT YOU WOULD DO
You’ll be obsessed with building financial systems that provide leverage, not just reporting. You will use automation and modern tooling to build a high-impact, scalable FP&A function.
Planning & Forecasting
- Own the annual operating plan and rolling forecast processes end to end
- Build and maintain the financial model that gives leadership a clear picture of the business at any point in time
- Turn monthly actuals into actionable insight rather than just variance explanations
- Develop scenario models that help the company evaluate strategic decisions
- Translate business strategy into financial frameworks (headcount, capacity, unit economics).
Business Partnering
- Act as a trusted finance partner to GTM, Product, and G&A leaders—helping them understand their numbers and make better resource decisions
- Partner with Revenue Operations to align our ARR reporting, booking metrics, and sales productivity metrics into a single source of truth
- Push back when plans don't add up and advocate for decisions grounded in data
Infrastructure & Tooling
- Build the systems and processes that make FP&A reliable and scalable—not dependent on heroics every close cycle
- Drive adoption of modern FP&A tooling and establish clean integrations between our financial systems (ERP, CRM, data warehouse)
- Create self-service reporting that gives business leaders direct access to the numbers they need, without routing everything through Finance
ABOUT YOU
You bring more than 10 years in FP&A, investment banking, or strategic finance, with at least 3 years in a senior or leadership role at a high growth company. You can hold the big picture and the details at the same time—fluent in strategy conversations and equally capable of tracking down a discrepancy in a revenue bridge.
In addition, you bring:
- Deep command of SaaS metrics and how they interact
- Track record building financial models that actually get used to make decisions—not just to satisfy process
- Strong communication skills that can translate financial complexity into clear language for non-finance audiences
- High integrity and low ego: you call it like you see it, even when the numbers aren't telling a flattering story
- Bias for action: you move quickly, make decisions with imperfect information, and course-correct rather than wait for perfect data
What we can offer
- A highly-skilled, inspiring, and supportive team
- Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth
- A global, multi-culturally diverse group of colleagues and customers
- Comprehensive health plans and perks
- A healthy work-life balance that accommodates individual and family needs
- Competitive salary, commissions, bonus, and stock options program
WHO WE ARE
Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data, so it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.
Backed by Netlify, Vercel, the founders of Twitter and Medium, Heroku's ex-CEO, and leading VCs like ICONIQ Growth, Threshold Ventures, and Lead Edge Capital, Sanity is at the epicenter of the modern digital product development stack.
You can only build a great company with a great culture. Read about our values https://www.sanity.io/blog/our-sanity-values and join us in building a diverse and inclusive team.
Sanity.io http://Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.
Location: Singapore; Australia
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
Over the past years, Linear has experienced incredible organic growth and has become an instrumental tool for many of the world’s best product teams. We believe customer support should always feel like an extension of that experience. As a Product Support Specialist at Linear, you’ll contribute to the future of our product by surfacing customer feedback and insights, contributing to our technical documentation, and engaging a technical customer community via social channels.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates residing in Australia or Singapore only. You can work from anywhere within those countries. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you’ll do
- Support customers in end-to-end engagement, including onboarding, account setup, debugging issues, feature and integration discovery
- Investigate and resolve inbound customer issues reported through a variety of communication channels, including email, Slack, Twitter, and Reddit
- Partner with our engineering team to document and reproduce bugs
- Surface trends and insights from customer feedback to the team at large to inform product choices
- Lead select strategic projects to improve the support experience, internal knowledge sharing, and product operations
- Deliver high-touch Enterprise support at scale, navigating complex account needs alongside Customer Success and Sales
Requirements
- Passion about technology, quality, and Linear’s mission
- Excellent communication and customer service skills and experience working with a technical or engineering user base. Ability to adapt your communication approach to non-technical users.
- Experience troubleshooting technical issues, including APIs and integration setups. Ability to reproduce bugs with Linear and our integrations in various environments (different browsers, Windows, Mac, Mobile).
- Familiarity with SQL, Javascript, APIs, and GitHub is a plus. If you don’t have direct experience in these areas, curiosity to learn more is desirable as well. Please note that this is not a product engineering role.
- Currently based in Australia or Singapore.
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Learn how we think and work
- A story about our mission: Read Me https://linear.app/readme
- Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear
- A video series: Conversations on Quality https://linear.app/quality
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Location: Australia; Singapore
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
Over the past years, Linear has experienced incredible organic growth and has become an instrumental tool for many of the world’s best product teams. We believe customer support should always feel like an extension of that experience. As a Product Support Specialist at Linear, you’ll contribute to the future of our product by surfacing customer feedback and insights, contributing to our technical documentation, and engaging a technical customer community via social channels.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates residing in Australia or Singapore only. You can work from anywhere within those countries. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you’ll do
- Support customers in end-to-end engagement, including onboarding, account setup, debugging issues, feature and integration discovery
- Investigate and resolve inbound customer issues reported through a variety of communication channels, including email, Slack, Twitter, and Reddit
- Partner with our engineering team to document and reproduce bugs
- Surface trends and insights from customer feedback to the team at large to inform product choices
- Lead select strategic projects to improve the support experience, internal knowledge sharing, and product operations
- Deliver high-touch Enterprise support at scale, navigating complex account needs alongside Customer Success and Sales
Requirements
- Passion about technology, quality, and Linear’s mission
- Excellent communication and customer service skills and experience working with a technical or engineering user base. Ability to adapt your communication approach to non-technical users.
- Experience troubleshooting technical issues, including APIs and integration setups. Ability to reproduce bugs with Linear and our integrations in various environments (different browsers, Windows, Mac, Mobile).
- Familiarity with SQL, Javascript, APIs, and GitHub is a plus. If you don’t have direct experience in these areas, curiosity to learn more is desirable as well. Please note that this is not a product engineering role.
- Currently based in Australia or Singapore.
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Learn how we think and work
- A story about our mission: Read Me https://linear.app/readme
- Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear
- A video series: Conversations on Quality https://linear.app/quality
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
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
As a Product Manager, Technical, you will own and be responsible for building a world class support experience for Anthropic's customers and the Product Support team. You will partner with Product Support Operations, AI Support, Billing, Fraud, and Product Engineering teams to build the systems that decide how Anthropic's users get unblocked when something goes wrong, and how what they report turns into product fixes, in partnership with the product teams that own the experience. Claude will be the primary operator of that support experience.
Partner with Product Support Operations, AI Support, and product engineering teams to own the systems behind the support experience end to end: the path from a recurring support driver to a shipped product fix, the Claude-based AI support layer that handles most inbound volume, and the tooling that helps human agents resolve what’s left quickly and accurately. .
Your north star is fewer support cases per user, and whole categories of cases eliminated, even as the product grows. The best outcome is a case that never gets opened because the product problem behind it was found and fixed. Everything in the support experience is in scope. You decide where to start.
You'll define the end-to-end experience Claude delivers: diagnosing a billing failure, resolving it or escalating it, recognizing when the same failure is showing up across many customers, filing the bug with repro steps and a proposed fix, getting that to the engineering team that owns the driver, following up with the customer to confirm the issue was actually resolved, and confirming the category actually goes away once the fix ships.
You will define and own the strategy and roadmap for the support-to-product feedback loop, including the escalation paths for billing, fraud, and high-visibility cases, and the metrics that show whether contact rate is falling.
Responsibilities
Deeply understand the needs of Product Support Operations, AI Support, Billing, Fraud, and the product engineering teams that own support drivers, from specialists handling enterprise escalations to engineers who need a support case turned into a reproducible bug they can fix.
Define and iterate on the support-to-product loop: how a case is classified, how recurring drivers are surfaced in near real time with case examples and recommended fixes, how each driver gets a named owner, and how we confirm the fix decreased case volume. Own the metrics behind it: inbound case volume by driver, drivers fixed at the root, and time from first case to shipped fix, alongside the response-time and CSAT targets Product Support Operations already runs on.
Own the customer's experience of getting unblocked: how quickly a user reaches a resolution and how little friction they hit on the way, whether Claude resolves the case or hands it to a specialist.
Minimize the blast radius of novel issues. New models and product changes will keep creating new drivers no one can predict; catch each one at its first reports, assess impact, and get the fix prioritized while the affected group is still small.
Partner with engineering and data science to build the systems that scale with Anthropic’s growth: Claude as the first responder, the data pipeline behind driver detection, and the tooling that lets Claude hand a diagnosed case to the right team.
Drive product strategy and roadmap for the in-house Claude support layer, including what Claude resolves on its own, what it escalates and to whom, and how far it goes toward filing and fixing the underlying product issue itself.
Own the trade-off framework between intake reduction, response time, cost, and quality, making transparent prioritization decisions about which drivers get fixed first and communicating them clearly to Product Support and senior leadership.
Build conviction about what support looks like when Claude is the primary operator, and translate that into a roadmap that gets Anthropic there ahead of the volume curve.
You may be a good fit if you have
7+ years of product management experience, with deep exposure to support systems, customer operations tooling, billing or payments, or internal platforms that serve operations teams
Experience taking technical platform products from infancy to scale: you've built something from the ground up and grown it to serve demanding internal or external engineering customers
Track record of building products that balance the needs of multiple personas, and of making prioritization trade-offs between them and communicating them clearly
Ability to internalize complex technical systems (case routing, billing and payments flows, LLM-based agents, data pipelines) and translate that understanding into a comprehensive product vision
Fluent across functions: you're equally credible reading a failed-payment trace with engineers, walking a specialist through why a driver got deprioritized, and explaining intake trends to leadership
A strong thesis on how AI changes support: you've thought deeply about what happens when the agent that answers the case can also diagnose, file, and fix what caused it, and you want to build that
Experience scaling an LLM-based product or experience from prototype to real volume, and a clear view of what breaks on the way: quality drift, cost, latency, and user trust
Scrappy and resourceful: you do what it takes to get things done in a fast-moving environment
Strong candidates may have:
Built or scaled the systems behind a high-volume support operation for consumer or developer products: case data pipelines, driver analytics, or LLM-based support agents.
Shipped an LLM-based support or operations agent in production and understand the trust, escalation, and quality-measurement problems that come with it.
Defined and operationalized contact-rate or case-deflection metrics, and a point of view on how those metrics change when the fix ships in the product instead of the help center.
Scaled through hypergrowth in support-heavy environments (consumer subscriptions, developer platforms, or fintech).
Experience getting product and engineering teams to own support drivers, with proven evidence of driving ownership through clear evidence and product quality.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$385,000
—
$460,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Reddit is continuing to grow our teams with the best talent. This role is
completely remote friendly
within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like.
Safety is central to Reddit’s mission and long-term health. Safety & Mods Data Science operates as a closed-loop system: Safety Insights helps the organization understand, measure, and prioritize risk, while Safety Enforcement Data Science builds and optimizes the models, rules, and systems that detect and mitigate abuse effectively, efficiently, and fairly.
We are looking for a Senior Data Scientist to join Safety Enforcement Data Science. You will own one or more defined enforcement problem areas and translate ambiguous abuse risks and written policy into measurable signals, labels, detection approaches, actioning logic, and evaluation plans. You will work closely with Product, Engineering, Machine Learning, Policy, Safety Operations, Threat Intelligence, and Safety Insights partners to turn analysis into scaled mitigation.
This is a hands-on role. You will investigate adversarial behavior, prototype and evaluate models and rules, tune decision thresholds, define launch guardrails, diagnose enforcement gaps, and monitor systems after deployment. You will also help the team use modern AI methods—including language models—where they improve detection, investigations, labeling, or operational workflows, with rigorous evaluation and appropriate human oversight.
This role may involve exposure to sensitive content and participation in an incident-response on-call rotation, including occasional work outside normal hours.
Responsibilities:
Own the enforcement lifecycle.
Lead a defined abuse or enforcement problem from problem framing and signal discovery through labels and taxonomies, model or rule development, thresholding, rollout, monitoring, and iteration.
Discover and characterize abuse.
Analyze large-scale behavioral, content, account, and network data to identify adversarial patterns, emerging threats, and gaps in existing mitigations.
Build and evaluate decision systems
. Develop models, classifiers, scoring systems, rules, and analytical prototypes using the statistical, machine-learning, or GenAI methods best suited to the problem.
Define decision-quality standards.
Create evaluation frameworks that address precision, recall, calibration, coverage, robustness, fairness, user friction, reviewer capacity, and other operational costs—not model performance in isolation.
Ship with engineering partners.
Partner with Engineering and Safety ML to productionize promising approaches; define data and logging needs, launch guardrails, monitoring and alerting, escalation paths, and rollback criteria.
Translate policy into systems.
Work with Policy and Safety Operations to convert written policy and product requirements into modelable targets, labels, decision rules, reviewer workflows, and measurable enforcement outcomes.
Measure real-world impact.
Design staged rollouts, experiments, and observational analyses that test whether interventions reduce harm while managing false positives and downstream effects on users, communities, and operations.
Respond and learn.
Support investigations and urgent escalations, identify mitigation options, conduct post-incident analyses, and turn one-time findings into durable detection or monitoring improvements.
Scale the team’s effectiveness.
Build reusable datasets, evaluation harnesses, monitoring tools, and documentation; communicate clear recommendations to technical and non-technical partners; and mentor junior peers when opportunities arise.
Stay ahead of the threat landscape.
Track emerging abuse tactics and advances in detection, adversarial ML, language models, synthetic data, and human-in-the-loop safety systems, and apply them pragmatically.
Required Qualifications:
Education & Experience: Ph.D. with 4+ years OR Master’s degree with 8+ years* of relevant industry experience in Data Science, Applied Science, Economics, or a related quantitative role (e.g., Statistics, Computer Science, Operations Research).
Applied experience in safety, enforcement engineering, fraud, or similar fast-paced, adversarial domains where data may be incomplete or evolving.
Expertise in SQL and Python to write production-grade, reusable analytical code and contribute directly to data pipelines.
Strong background in statistical analysis, experiment design, causal modeling, and ML techniques (e.g., classification, ranking, anomaly/pattern detection).
Practical knowledge of evaluating real-world decision systems, including sampling, label quality, class imbalance, precision/recall, calibration, thresholding, drift, and monitoring.
Proven ability to deconstruct ambiguous problems into scopable components, bias toward action, and drive impactful decisions alongside Product, Engineering, Operations, and Policy teams.
Exceptional communication skills with demonstrated ability to convey complex technical concepts, tradeoffs, and recommendations to both technical and non-technical stakeholders.
Preferred qualifications
Experience in Trust & Safety, integrity, fraud, spam and abuse, account security, cybersecurity, risk, content moderation, or another adversarial domain.
Experience with one or more enforcement-relevant methods such as graph or network analysis, NLP, embeddings, sequence or behavioral modeling, weak supervision, synthetic data, or human-in-the-loop evaluation.
Experience applying language models to detection, investigations, labeling, reviewer assistance, or workflow automation—and measuring quality, cost, latency, and safety tradeoffs.
Experience partnering with engineers to launch and monitor models or rules in production, including incident response and post-launch tuning.
Experience designing prioritization or triage systems for human review operations, including analysis of reviewer quality and capacity.
Experience assessing fairness, bias, privacy, and policy-aware tradeoffs in automated decision systems.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-SP1
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$190,800
—
$267,100 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: North America
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
Field marketing at Linear is just getting started. Its job is to put us in front of the right people in the right room: executive dinners, conferences, partner events, and programs built with our Customer team around named accounts.
We're hiring our first Field Marketing Manager to take that motion from strategy to execution. You'll own the executive dinner calendar across cities, decide which third-party events and partner programs are worth our time, and build the invitations and follow-up that help our sellers turn a good evening into a real conversation. This is a hands-on role. You'll tap your venue and vendor network, build the run of show for each program, and be on site to run it.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the United States, with San Francisco or New York preferred. You can work from anywhere within the US. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. This role involves frequent travel for events, including evenings.
What you’ll do
- Own the executive dinner calendar across cities: pick the city, the venue, the date, and the theme for each dinner
- Build each guest list with our Customer team, equip sellers with invitation sequences, and track RSVPs so every seat goes to someone worth having there
- Manage venues and vendors, negotiate menus and minimums, and keep per-dinner spend, contracts, and travel logistics within budget
- Brief our hosts and executives on who's attending and what we want to learn, be on site to run the night, and hand follow-ups to Sales afterward
- Evaluate conferences and sponsorship offers by audience quality, account coverage, and expected return, then plan how we show up: booth or no booth, side dinners, customer meetings, and speaking slots
- Co-host dinners, workshops, and meetups with partners, and agree up front on guest lists, costs, and who follows up
- Sit with Sales each quarter to pick target accounts, build lightweight formats an AE can request for a key account, and report on attendance, meetings held, pipeline influenced, and feedback from attendees and account owners
What we’re looking for
- 3+ years in field marketing, event marketing, or B2B events, ideally at a software company. Experience in developer tools, SaaS, or another technical product is a plus
- A track record of running dinners, roundtables, or other small-format events end to end, plus experience planning around conferences: sponsorships, side events, and customer meetings
- Experience working next to Sales. You know how to build a target account list, get an AE to care about an event, and tell them afterward what happened
- Strong project management. You can run several cities and events at once without dropping details
- Comfort with budgets, vendor contracts, and a spreadsheet. Hands-on time with HubSpot and event attribution is a plus
- Clear writing and an easy way with senior guests, hosts, and partners. Experience marketing to engineering and product leaders is a bonus
- Experience building an event series from the ground up, including a playbook someone else could run
- Willingness to travel often, including evenings
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Compensation
For US-based candidates, the expected cash compensation range for this role is $144,000—$179,500. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear.
Learn how we think and work
- A story about our mission: Read Me https://linear.app/readme
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth https://www.youtube.com/watch?v=4vqDYkuzbSM
- Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear
- A video series: Conversations on Quality https://linear.app/quality
- Read about our recent Series C Fundraise https://linear.app/now/building-our-way and Giving our team liquidity https://linear.app/now/giving-our-team-liquidity-through-linear-s-first-tender-offer
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Location: United States
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
Kraken is on a mission to build the most trusted bridge between crypto and traditional finance. The Financial Systems Engineering team connects activity across products, payments, banking, and digital assets to the data, ledgers, controls, and applications Finance relies on. Our engineers bring expertise in data engineering, complex transaction flows, financial systems, and reconciliation. We partner with Treasury, Accounting, Tax, FP&A, Product, Risk, Security, Compliance, and platform engineering to make financial data reliable, explainable, and auditable.
THE OPPORTUNITY
- Report to the CFO and lead the engineering vision for Kraken’s financial systems, translating Finance priorities into a clear technical strategy and delivery roadmap
- Assess the current landscape, including fragmented data, processes, and technical debt. Define a target architecture and phased transformation plan based on evidence, business needs, and sound engineering judgment
- Lead, coach, and grow a team of specialists across financial systems, data engineering, integrations, and ledger-related services. Establish clear ownership and develop technical leaders
- Set standards for the completeness, quality, lineage, and ownership of financial data, from source events through transaction and balance records, reconciliation, accounting, and reporting
- Contribute to architecture decisions for ledgers, subledgers, financial data models, APIs, and integrations across fiat and crypto activity. Determine what should be standardized and where distinct product flows need governed treatment
- Partner with Accounting and Treasury to improve account and legal entity attribution, financial controls, reconciliation, exception handling, and the traceability of records across internal and external systems
- Lead modernization and migration without disrupting close, reporting, fund movements, or other critical Finance operations. Define validation checkpoints and criteria for retiring legacy processes and systems
- Establish end-to-end testing, documentation, observability, release controls, and incident response practices that account for the financial impact of upstream changes
- Partner with Product, platform engineering, Risk, Security, Compliance, Tax, and Legal on system boundaries, access controls, resilience, regulatory needs, and auditability
- Evaluate build, buy, and integration options; review consequential designs; and communicate architectural decisions, sequencing, risks, and tradeoffs clearly to Finance and Engineering leaders
WHAT YOU WILL TACKLE FIRST
In your first year, you’ll build the foundations for a more reliable, scalable Finance architecture:
- Move key reconciliations from a monthly to a daily cadence, with clear ownership and a process for resolving exceptions
- Reduce the time needed to find the root cause of reconciliation breaks from weeks to days
- Map and validate the source tables and transformations that actually feed financial statements, establishing lineage and ownership
- Complete the UAT data lake connections needed to test financial data flows end to end before changes reach production
WHAT YOU BRING
- Significant software engineering and technical leadership experience, including leading experienced teams through complex financial systems or data architecture change
- A strong track record of hiring, coaching, and developing specialists while creating clear ownership, high engineering standards, and effective cross-functional partnerships
- Deep understanding of ledgers, subledgers, double-entry concepts, reconciliation, settlement, and the path from an operational event to an auditable financial record
- Experience with crypto or digital asset infrastructure and the challenges of connecting on-chain activity, internal balances, custody or wallet flows, and traditional financial systems
- Strong technical judgment in distributed systems, data engineering, APIs, event-driven processing, and integrations across complex platforms
- Experience defining a target architecture and delivering a transformation roadmap across fragmented or legacy systems while sustaining production reliability
- Experience designing for data completeness, accuracy, lineage, reconciliation, access control, and auditability
- Sound judgment in production operations, including incident response, monitoring, debugging, change management, and reliability improvements
- Ability to partner with senior Finance and Engineering leaders and translate financial, operational, and control needs into a practical engineering roadmap
- Ability to lead experts and make informed architecture decisions without needing to be the deepest specialist in every domain; clear communication of priorities and tradeoffs to executives and technical teams
- Experience with Rust, TypeScript/Node.js, or Python; finance applications such as NetSuite, Kyriba, or BlackLine; and SOX or SOC control environments is valuable
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on X https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Remote US
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.
About the Legal, Compliance, and Public Affairs team
The Legal, Compliance, and Public Affairs team is a group of dedicated professionals committed to helping Affirm scale, innovate, and provide outstanding products for consumers, merchants, and key partners. We combine legal, compliance, and policy expertise to guide growth, shape products, and build trust across our ecosystem. Our work spans multiple professional disciplines and provides the foundation for Affirm’s mission to deliver honest financial products.
About the role
We are looking for a business-minded Contract Management Specialist II to help deliver responsive, consistent contract support for the Commercial and Vendor Legal teams.
You’ll manage a wide range of agreements, support legal intake and business questions, and partner closely with Legal, Legal Operations, Revenue, Finance, Procurement, and other internal teams. You’ll independently handle routine matters while supporting attorneys on strategic, complex negotiations. This is a hands-on role that rewards resourcefulness, speed, curiosity, a continuous improvement mindset, and good judgment.
What you'll do
Draft, negotiate, and manage commercial and vendor agreements, amendments, NDAs, and other contracts
Triage incoming legal requests, support the business by answering contract and process questions, and route matters that require specialized knowledge
Coordinate contract approvals and cross-functional reviews and help keep contract matters moving toward execution
Maintain and help improve standard contract templates, playbooks, training materials, and knowledge management resources
Communicate contract positions, requirements, risks and next steps clearly and concisely to internal business partners
Identify recurring pain points and opportunities to implement process improvements that optimize for speed, efficiency, and quality
Manage and meet aggressive internal SLAs while balancing shifting priorities and escalating urgent or high-risk matters appropriately
Partner with Legal Operations, Financial Systems, and Procurement on solution design and delivery
Support ad hoc matters and special projects as the contract management function evolves
What we look for
3+ years of relevant experience in contract management, as a paralegal, or in a comparable contracting role, preferably at a fast-paced technology company
Bachelor’s degree (no JD required)
Experience using a contract lifecycle management platform; Ironclad experience is preferred
Strong organizational and project management skills, with the ability to manage multiple matters and competing deadlines
Excellent written and verbal communication skills
Ability to independently manage routine and moderately complex contract matters and recognize when attorney or specialist involvement is appropriate
Sharp judgment and critical thinking, with a track record of applying lessons learned across negotiations, template drafting, and internal guidance
Comfort operating in a high-volume, fast-moving environment where priorities may shift
Detail-oriented, proactive, and solutions-focused
Team-first mindset: no task is too small, no problem is too big
Willingness to contribute to both shared operational work and specialized contracting matters
Base Pay Grade
- H
Equity Grade
- 3
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 equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $100,000 - $150,000
USA base pay range (all other U.S. states) per year: $88,000 - $138,000
Please note that visa sponsorship is not available for this position.
#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: New York, New York, United States; San Francisco, California, United States
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.
In our hybrid early career program, you’ll be paired with a tenured Affirmer and have an opportunity to collaborate in-person 3 days a week out of our New York City, or San Francisco offices. You'll experience the best of both worlds: the in-office experience and remote work. After the one-year, you can remain hybrid, go remote, or stay in an office. Opportunities are available across different tech stacks and teams so that you can find a perfect fit to launch your career with Affirm!
About the Risk & Analytics Team:
The Risk & Analytics (R&A) team makes crucial decisions that direct Affirm’s business strategy. We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability.
Operating across the entire customer and merchant lifecycle, we tackle a diverse array of challenges from optimizing checkout conversion and mitigating fraud risk, to building scalable data foundations and enabling international growth. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools, scalable data infrastructure, and analytical frameworks. We improve the analytics experience across Affirm by streamlining workflows and fostering a culture of learning and documentation. By taking ownership of the entire analytical lifecycle, from initial question to final business decision, we turn complex data and systems into clear, actionable signals that ensure Affirm grows efficiently and intelligently.
Our Teams (Where You Might Sit):
We are hiring multiple Early Career Analyst roles across Affirm's Risk & Analytics organization through this single job posting. Rather than interviewing for one specific team, candidates will go through a shared interview process designed to assess the core skills we look for across R&A.
If selected, we will work with you to determine the best team match based on your interests, experience, strengths, and current business needs. You will have the opportunity to learn more about our teams and share your preferences as you move through the process.
Potential team placements include:
Point of Sale (POS):
Optimize merchant and checkout performance to improve conversion, approvals, and unit economics across the purchase funnel.
Direct to Consumer (DTC) / Card:
Drive engagement, repeat usage, and lifecycle health across Affirm's app, web, and card experiences.
Fraud:
Prevent and reduce fraud losses across the customer journey while maintaining a frictionless user experience.
Core Analytics:
Build the quantitative research, machine learning models, performance monitoring, and scalable data foundations that enable fast, economically sound decisions.
Servicing and Payments:
Enhance the post-origination customer experience by analyzing repayment behavior, collections strategies, and operational efficiency.
International Expansion:
Build the measurement and decision foundations needed to sustainably launch and scale Affirm in new global markets.
About the Role
As an Early Career Analyst in Affirm's Risk & Analytics organization, you will join one of several analytical teams working across the customer and merchant lifecycle. While the specific problems you tackle will depend on your eventual team placement, all Analyst I roles share a common foundation: using data to understand business performance, identify opportunities, and help Affirm make better decisions.
You will learn the fundamentals of consumer lending while executing scoped analytical work under the guidance of senior analysts and managers. You will leverage SQL, Python, and modern analytical tools to help optimize business strategies, monitor performance, and turn complex data into actionable insights.
You are a thoughtful, driven individual eager to build a strong technical foundation, learn how to navigate exogenous market changes, and integrate modern AI tooling to solve hard problems efficiently.
What You Will Do
Derive Insights & Support Strategy:
Leverage data analytics to uncover insights that help optimize product, risk, or growth strategies across geographies.
Monitor Portfolio Health:
Assist in tracking performance metrics, user behavior, and macroeconomic trends that impact business outcomes, flagging risks and anomalies to senior team members.
Technical Execution:
Write clean, working SQL and Python to build scalable reporting and partner with Engineering to support the deployment of machine learning and risk models.
Cross-Functional Collaboration:
Work closely with Product, Legal, and Compliance to understand evolving consumer lending regulations and market requirements, assisting in translating them into foundational data models and operational policies.
Drive Launch Alignment:
Support cross-functional discussions to ensure new product launches and market entries align with our operational capabilities and risk appetite.
AI Fluency & Efficiency:
Integrate AI tools (Cursor, Claude Code, copilots) into your daily workflows to accelerate data mining and routine tasks, holding the line on verifying outputs.
What We Look For
Currently pursuing a Bachelor’s degree or higher with an expectation that you will complete your most recent full-time degree program by August 2027 or earlier; relevant internships or prior experience in the consumer lending, fintech, or broader financial services industry are highly valued.
Degree in Data Science, Computer Science, Engineering, Economics, Statistics, Math or a related quantitative field preferred.
Working knowledge of SQL, Python, or other scripting languages.
Familiarity with data mining, data visualization, and foundational statistical modeling.
Basic understanding or deep curiosity about consumer lending regulations, fair lending principles, and how machine learning techniques apply to real-world business problems.
Exceptional communication skills, humility, and the ability to collaborate effectively.
Pay Grade - I
Equity Grade - 5
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).
USA base pay (CA or NY) per year: $115,000
Please note that visa sponsorship is not available for this position.
#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.
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Location: U.S. (Remote)
Workplace: Remote
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
About the Role
As we have continued to expand, we want to meet the industry where it gathers. As a Field SDR, you'll be Clipboard's face on the conference circuit in 2027. That means attending nearly every major Post Acute conference, trade show, and association event in the country. You'll work the floor, start conversations with agency owners and operators, qualify opportunities, and turn those conversations into pipeline and revenue.
This is a travel role. Expect to be on the road about 80% of the time. If living out of a suitcase sounds like a burden, this isn't the right role for you. If it sounds like an adventure and a big advantage in building a sales career, read on.
What You’ll Do
- Represent Clipboard in person at national, regional, and state conferences, trade shows, and industry events.
- Prospect aggressively before, during, and after every event: research attendee lists, book meetings ahead of time, and work the floor to start new conversations.
- Run discovery with Agency Owners, Administrators, Directors of Nursing, Clinical Managers, Directors of Operations, and staffing and recruiting leaders.
- Qualify opportunities and move them forward. Book next steps, convert interest into an active pipeline, and push deals toward close with the broader sales team.
- Work fluently across the organization within the sales team to ensure smooth handoffs after events.
- Share what you learn on the ground (customer pain points, competitor positioning, which events are worth our time) with sales, marketing, product and leadership.
Who You Are
- Willingness to travel about 80% of the time (roughly 40 weeks per year), including frequent overnight and multi-day trips.
- You must live in a major metro area within easy reach of a major airport.
- A valid driver's license and the ability to travel domestically without restriction.
- Comfortable working remotely and independently between events.
- Strong communication and relationship-building skills across clinical and business audiences.
- Curiosity, persistence, and a bias for action.
- Organization and autonomy in managing your own schedule and pipeline.
Our Interview Process
1. Case Study
2. Case Study Interview
3. Background Interview
4. Culture Interview (In Person)
5. Executive Chat
Because this role will primarily be in person at events, our culture round is held in person, and Clipboard covers all travel expenses. We want to see how you show up, and we want you to meet the team you'd be working with.
What We Offer
- Competitive base salary + uncapped commission
- Insurance benefits and 401k options
- Unlimited PTO and flexible holidays
- Mileage reimbursement or travel stipend for field work
- Remote flexibility when not in the field
- Clear growth path
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
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Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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