Location: Vancouver, Canada; United States
Our client is hiring a Staff-level engineer to lead a highly specialized team building cutting-edge, high-throughput signal processing systems that turn raw satellite radar data into SAR imagery, deployed on the ground and potentially on board spacecraft. Fully remote from the US; optional relocation to Vancouver later.
What you will do
• Lead the definition, specification, technical risk management, integration, verification and validation of SAR processors, new and existing
• Supervise interface control document development; ensure hardware and software components integrate into the larger ground or space segment
• Coordinate trade-offs between theoretical algorithms and their implementation on the actual processor
• Troubleshoot root causes of processing errors and artefacts in image products and find mitigations; optimize processing time toward near-real-time
• Take part in mission design trade-off studies; mentor the team; advise senior management and new business pursuits
What you need
• Degree in Electrical Engineering, Engineering Physics, Math or Physics (or equivalent)
• 12+ years in an engineering environment, including 5+ years on complex signal processing systems (radar, medical imaging, computer vision or similar) and 10+ years in a large product development or systems engineering environment
• Solid grounding in high-speed, high-throughput data analysis and transmission design
• MATLAB, Python or C++
• Clear communicator to technical, sales, executive and customer audiences
• US citizen or permanent resident
Nice to have
: SAR remote sensing (system design, operation, exploitation, calibration); satellite SAR payload design and operations; FPGA or ASIC based system design; geospatial data.
УдалённоVancouver, Canada; United States; Fully remote from the US; optional relocation to Vancouver later
Location: Remote - UK
Workplace: Remote
About You
The DACH Partnerships Manager is a strategic leader responsible for establishing and growing Constructor's partner ecosystem in UK and DACH regions. This role involves identifying, developing, and managing key relationships with SIs, agencies and ISVs/ Tech partners to drive revenue and expand market reach. A successful candidate will possess strong communication, negotiation, and relationship-building skills, with a deep understanding of the ecommerce implementation landscape and SI business models. This individual will be instrumental in enabling successful client deployments, fostering collaborative engagements, and contributing to the company's overall growth through SI partnerships.
About Us
Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. For more, visit: http://constructor.io/constructor.io http://constructor.io.
About the Position
- Maintain a deep understanding of the ecommerce tech and ISV landscape.
- Identify and execute go-to-market strategies with partners in the region.
- Partner with regional sales leadership to define and execute growth plans.
- Establish and grow strategic partnerships within the ecosystem.
- Identify, develop, and manage key executive relationships to drive successful client implementations.
- Own the onboarding, activation and development of partners.
- Contribute to the company's overall growth by achieving strategic partnership goals, including partner-sourced and influenced revenue, and successful client deployments.
- Possess strong communication, negotiation, and relationship-building skills.
- Work effectively across internal teams and lead through influence.
Requirements
- Experience developing, launching, and scaling go-to-market motions with Systems Integrators and ISV partners in the UK and DACH regions
- Experience working with SIs specializing in ecommerce implementations.
- Good network and senior-level contacts within the ecommerce space.
- Prior experience managing executive relationships and driving activation and engagement.
BENEFITS
- 🏝️ Unlimited vacation time -we strongly encourage all of our employees take at least 3 weeks per year
- 💰 A competitive compensation package including stock options
- 🌎 Fully remote team - choose where you live
- 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office
- 💻 Apple laptops provided for new employees
- 🧑🎓 Training and development budget for every employee, refreshed each year
- 👪 Parental leave for qualified employees
- 🧠 Work with smart people who will help you grow and make a meaningful impact
DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: United States (Remote)
Workplace: Remote
ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
- Ready to run
- Hungry and driven by urgency
- Exceptional at what they do, with low ego
- Comfortable operating in motion
THE ROLE
As a Backend Engineer on the Credit Card team at OnePay, your work will directly shape the infrastructure behind our co-branded credit card product, holding the same bar for trust, security, and reliability as the rest of our financial ecosystem. You will:
- Design and build backend services that power our co-branded credit card product and its integrations with partner systems
- Architect APIs and event-driven systems that handle sensitive financial data securely at scale
- Partner with risk, compliance, and platform teams to ensure new features meet regulatory and security requirements
- Own reliability and performance for systems processing real-time credit transactions
- Drive technical decisions on system design, balancing scalability, security, and speed of delivery
- Mentor other engineers and raise the bar on code quality, testing, and operational practices across the team
YOU BRING
- 3+ years of professional experience in backend or distributed systems development
- Experience building and operating production-grade APIs and microservices in a regulated or high-compliance environment (fintech, payments, banking, or similar)
- Proficiency in Node.js or similar modern backend frameworks (TypeScript, NestJS, Go, or Java)
- Familiarity with cloud-native architecture (Kubernetes, AWS) and event-driven or microservice-based systems
- Strong understanding of data security, PCI compliance, or similar standards protecting sensitive financial data
- Strong communication and collaboration skills across product, risk, and platform teams
- Drive and proactivity - everyone here is a builder and executor
TOOLS WE USE
We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly.
WHAT WE OFFER
- Competitive base salary, stock options, and health benefits from Day 1
- 401(k) plan with company match
- Remote-friendly (US), flexible time off (FTO), and opportunities for growth
- A high-growth, mission-driven, inclusive culture where your work has real impact
STANDARD INTERVIEW PROCESS
Our process varies by role. Most candidates go through:
- AI-assisted initial screen
- Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
Location: APAC Remote; EMEA Remote
About
Customer.io
Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.
About the role
Hi, my name is Lauren, Senior Manager of Customer Success at
Customer.io
, and I'm looking for a Customer Success Manager to join our Mid-Market, APAC or EMEA team.
You'll own the success of a dedicated portfolio of roughly 40-60 Mid-Market customers — acting as their strategic advisor from onboarding through long-term adoption, and driving commercial outcomes across your book of business. You'll partner closely with Account Management, Technical Support, Product, Solutions, and Engineering to help customers realize real value throughout their lifecycle.
We don't need you to be a marketing expert or a deeply technical one. We need someone who's an expert at asking the right questions — someone who digs until they find the real problem, not just the reported one, and who can influence a customer to make progress and move through blockers. You'll be curious and eager to understand our app well enough to take a customer's use case and turn our features into outcomes that matter to them.
What we value
Curiosity about the business behind the customer:
You're genuinely interested in how companies operate and enjoy learning your customers' industries and goals. You ask about the
why
behind a request before recommending a solution.
Trusted advisor, not ticket-taker:
You build relationships that turn you into a strategic partner rather than someone who simply answers questions. You have well-formed opinions about customer experience and aren't shy about sharing them.
Ownership of commercial outcomes:
You see CS as a value and growth engine. You take ownership of outcomes across your book and naturally look for opportunities to create more value, partnering with AM on retention and expansion.
Comfort in ambiguity:
You thrive on complex, open-ended customer challenges — bringing together business context, technical understanding, and creativity to solve them. You're calm under pressure, highly organized, and able to juggle competing priorities across a full portfolio.
AI-forward thinking:
You're comfortable using AI tools to improve your own productivity and your customers' outcomes, and you bring a growth mindset toward experimenting with new AI-powered ways of working.
What you'll do
Manage a dedicated portfolio of ~40-60 Mid-Market customers as their strategic partner across the full customer lifecycle
Lead onboarding — running kickoffs and milestone check-ins, and guiding customers to their first measurable outcomes
Build a deep understanding of each customer's goals and translate them into measurable, mutual success plans
Provide proactive, consultative guidance through regular strategic touchpoints and value-driven conversations
Monitor customer health, spot adoption trends, and address risks before they impact success
Partner with Account Management to support retention and expansion, and coordinate with Technical Support, Product, Solutions, and Engineering when deeper expertise is needed
Own escalations end to end — from identification through resolution — keeping customers informed and confident throughout
Advocate for your customers internally by sharing product feedback and influencing improvements to the customer experience
Drive AI adoption across your portfolio — coaching customers on AI-powered solutions and modeling what AI-native Customer Success looks like
Contribute to the broader CS organization by sharing best practices, improving playbooks, and participating in webinars and enablement initiatives
What we're looking for
2+ years as a Customer Success Manager for technical products, in a SaaS environment
Experience communicating with software developers in a technical capacity
Opinionated about customer experience — you should have well-formed views in order to give customers strategic advice
Fluency in French, Russian, and/or Spanish (we are prioritizing multilingual candidates for this role)
Located in Australia, New Zealand, United Kingdom or Ireland
Bonus: experience designing lifecycle messages
Compensation & Benefits
We believe in transparency. The salary for this role is
$80,000 USD
(or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including
100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family
. We also offer
16 weeks paid parental leave, unlimited PTO
, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
30-minute video call with Recruiter
45-minute video call with Hiring Manager
45-minute Homework Review Call + feedback with potential team members
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io
recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official
Customer.io
letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact
jobs@customer.io
.
Join us!
Check out our
careers page
for more information about why you should
come work with us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read — apply now.
Location: New York, NY (HQ); San Francisco, CA; Remote (US)
Workplace: Remote
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
How we build software is changing. Designers are building tools and agents, prototyping in code, and shipping directly into the product. More people can create software than ever before. That makes design judgment more important, not less.
We’re looking for a Design Systems Lead to build that judgment into the foundations of Ramp.
This is not just about maintaining a component library. It’s about making it possible for designers, engineers, and agents to build experiences that look, feel, and work like Ramp—without a designer driving every decision or the design systems team reviewing every change.
You’re a designer first, with the technical depth to guide architecture and get into the code. You have exceptional taste and strong opinions about typography, hierarchy, interaction, and motion. Just as importantly, you know how to turn that judgment into patterns, tools, and guidance that make everyone else’s work better.
You’re deeply curious about AI and already using it to change how you work. You build, experiment, inspect the results, and push past the demo. You can imagine a different way of building software—and lead a team toward it.
This role is for you if you’re excited by:
- Making great design reproducible. Raise the quality of Ramp’s product and encode what makes it good, so people and agents can produce coherent, usable experiences by default. The system should make excellent work easier, not make every experience look the same.
- Reimagining what a design system can be. Build beyond components and tokens into composition, interaction patterns, agent guidance, and evaluations. Connect exploration and production so the fastest way to build is also a path to great quality.
- Leading a team that multiplies everyone else’s impact. Create clear direction, ambitious goals, and a caring yet demanding environment. Inspire curiosity, develop people, and stay close enough to the work to help make it exceptional.
The opportunity is to raise the floor for everyone building at Ramp, while giving designers more room to make the most important experiences extraordinary.
WHAT YOU'LL DO
- Lead and develop the design systems team. Set clear priorities, ownership, and goals. Give direct, timely feedback, hold people accountable, and help them do the best work of their careers.
- Own the system’s vision and direction. Decide what to preserve, evolve, simplify, or replace based on what builders and customers need. Turn that direction into focused work the team can deliver.
- Elevate Ramp’s visual and interaction design. Raise the bar for typography, hierarchy, density, motion, responsive behavior, accessibility, and the states beyond the happy path.
- Make design judgment usable by people and agents. Translate principles into reusable patterns, reference experiences, composition rules, and guidance that produce better work without you in the room.
- Guide technical architecture with engineering. Shape everything from components and tokens to how agents discover guidance, compose interfaces, and check their work. Make sound tradeoffs between flexibility, coherence, performance, and ease of use.
- Stay hands-on. Build prototypes, work in code, and get into implementation details to test ideas, unblock the team, and understand where the system breaks down.
- Define and measure quality. Build repeatable evaluations grounded in real tasks. Measure whether builders can ship better work faster, with less rework—not just whether they use the tools.
- Improve the path from idea to shipped experience. Partner with engineering and AI teams on workflows that support fast exploration, useful iteration, and appropriate production safeguards.
- Earn adoption. Work alongside product teams, listen closely, teach through examples, and turn recurring questions and exceptions into improvements to the system.
- Keep the team moving forward. Experiment as models and tools evolve, share what you learn, and change direction when the evidence calls for it.
WHAT YOU NEED
- Experience leading and developing strong design or design engineering teams, with a track record of setting direction and delivering meaningful outcomes.
- Exceptional visual and interaction design skills. Your work shows a clear point of view, attention to detail, and an ability to make complex experiences feel simple.
- Deep systems thinking and experience building systems that other teams actually adopt. You can show how your work improved both their speed and the quality of what shipped.
- Strong technical fluency. You can prototype and build in code, understand front-end architecture, and work through implementation tradeoffs with engineers—not just hand off specifications.
- Active, hands-on use of AI in your design and building workflow. You understand where it helps, where it fails, and how to improve its output rather than accept it.
- Experience turning design principles into practical guidance, reusable patterns, and quality checks that work at scale.
- Strong product judgment and a habit of staying close to the people using what you build. You connect system decisions to real workflows and customer outcomes.
- The ability to create clarity in ambiguity, make decisions, give difficult feedback, and maintain momentum without losing the quality bar.
- Curiosity that borders on obsession about how AI changes software and how we build it—and the ability to ignite that curiosity in others.
NICE TO HAVES
- Experience building agent-usable design guidance, generation workflows, or evaluations for design quality.
- Experience building developer or designer tools that became part of other teams’ daily workflow.
- Experience leading a major design-system migration or company-wide change in how teams build.
- Experience evolving a system across platforms or connecting product and brand experiences.
- Founder or early-stage startup experience.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Berlin
Workplace: Hybrid
OUR STORY:
Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence.
Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix, Steuerbot and TaxScouts, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016.
YOUR OPPORTUNITY:
AI is shifting how the best products get built. The handoffs between product, design, and engineering are slowing us down. The companies moving fastest are doing it with people who own the full loop, from the user problem to the shipped feature, without losing the thread.
At Taxfix, we’re rebuilding our R&D organization around this idea. We call these people builders.
A Builder has a primary craft, one they’re genuinely excellent at, but they don’t stop there. They stretch across product, design, and engineering as the situation demands, using AI to cover the gaps. They’re accountable to outcomes, not job descriptions.
Taxfix has put €5 billion back into our customers’ pockets and we aren’t stopping there. We operate in Germany, Spain, and the UK, and we’re in the middle of a genuine AI transformation in how we build and how we’re organized.
Assume there’s no designer to give you a Figma file. No engineer to hand the spec to. The magic is knowing what to build, why, and in what order, then making it happen. If building the thing sounds more natural to you than describing it, this role is for you.
YOUR RESPONSIBILITIES AND DECISIONS:
- Take a user problem from rough idea to shipped product. Write the brief, design the flow, prototype it, and get it in front of users, with as few handoffs as possible. Own the full loop.
- Compress research, synthesis, and spec-writing from weeks into hours. You reach for AI tools not because you’ve been asked to, but because they faster make you faster in delivering high quality outcome. You know when to trust the output, when to edit it, and when to reject it. Use AI as a force multiplier.
- You structure fuzzy problems, identify what should and shouldn’t be built, and move forward when there are dozens of possible directions. The magic is in the trade-offs, not the feature list. Turn ambiguous ideas into things users can trust.
- You collaborate effectively with technical and non-technical stakeholders on AI-related product work, translating AI concepts, capabilities, limitations, and outputs into clear product decisions. You work effectively in hybrid human-AI teams. Work in small, focused teams.
- You know the metric your team is trying to move. You measure your week by what changed in user behaviour, not by how many tickets moved to Done. Be accountable to outcomes, not roadmaps.
- You give feedback directly, to anyone, regardless of level. You raise blockers early and in the open. Push back when something’s wrong. Team player who raises the bar.
YOUR PROFILE:
YOUR CRAFT
- 5+ years experience in Product Management (ideally in fintech or B2B). You’ve shipped things that real people use, and you can point to the metric that moved when you did.
- Understand implicitly the product development process - from discovery, to user research to experimentation. You are able to build and defend a compelling strategy that solves user needs.
- You have a builder track record: you’ve made things with AI, not just written specs about them. Shipped products, agent workflows, or tools real users have touched. Any of these count whether at work or in your personal life.
- You’re AI-native by default. You use tools like Claude, Cursor, Lovable, or similar regularly. You follow the AI product space closely and you know the difference between a demo and something production-ready.
- You’ve built personal AI workflows that make you meaningfully faster. You know when to trust AI output, when to edit it, and when to reject it.
- You’ve gone from user problem to testable prototype without waiting for a brief to be written for you. The output was good enough that a team shipped from it.
- Low PM baggage: you’re not attached to how product management "should" be done. You care about outcomes, not territory.
- When designing and shipping AI-enabled products, you consider privacy, safety, fairness, transparency, bias, and accountability. You assess when AI-generated outputs are appropriate for use and raise concerns when risks or limitations are identified.
YOUR RANGE
- Across all three disciplines, you can hold your own: in Product you can identify opportunities, assess impact, and prioritize ruthlessly. In Design, you have taste: you know when something looks right but feels wrong. In Engineering, you’ve used AI coding tools to build something real, and you’re not dependent on an engineer to tell you why it’s broken.
HOW YOU WORK
- Data fluency: you know the metric you were trying to move, and you can say whether you moved it, with healthy skepticism about what metrics do and don’t tell you.
- You believe in experimentation and ship with velocity to learn quickly. You know your way around AB tests and are excited to try new data science models to learn faster.
- You’ve worked on products where getting it wrong has real consequences for real people, and that raised your bar, not lowered it.
- You’ve found a way through blockers rather than waiting to be unblocked. When something was genuinely impossible, you documented why and moved on.
- You bring an entrepreneurial and independent mindset. You are excited about spotting opportunities and then acting on them.
- Fluency in English is required (German is a plus).
THIS ROLE IS NOT FOR YOU IF…
- You’re not genuinely excited about being able to stretch across design and engineering functions.
- You’ve never built an AI prototype and/or shipped code, side projects count.
- You pride yourself in what you delivered rather than its impact
- You need certainty, a full brief, or someone else’s research to get started.
- You don’t believe in fast learning and getting things into customers hands early and use
WHY TAXFIX?
- A chance to do meaningful, people-centric work with an international team of passionate professionals.
- Holistic well-being with free mental health coaching sessions.
- A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like.
- Employee stock options for all employees—because everyone deserves to benefit from the success they help to create.
- 30 annual vacation days and flexible working hours.
- Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip.
- Plenty of opportunities to socialise as a team. In addition to internal tech meetups, our international team hosts regular get-togethers—virtually and in person when possible.
- Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions.
- Have a four-legged friend in your life? We’re happy to have dogs join us in the office.
Excited? So are we. Learn more about Team Taxfix https://medium.com/taxfix on our blog and get a glimpse of our culture.
At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves.
Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Senior Software Engineer
Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day.
From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale.
In November 2023 we launched our non-food retail offering, Deliveroo ‘Shopping’, where we work with large and small merchants. We oversee all operations within the grocery and retail ecosystem, ensuring stores are equipped to receive and efficiently process orders. Our solutions empower stores to manage orders seamlessly through multiple channels, including our in-house app, API integration, and devices pre-installed with our software. Additionally, we provide tools to maintain and update product catalogs, ensuring accurate inventory for consumers. The technology we’ve developed enables our partners to pick the correct items swiftly while keeping inventory data current, optimizing both efficiency and accuracy.
We’re looking for a
Senior Software Engineer
to join our
London (Hybrid - 3 days from the office)
team. In this role, you’ll help us improve code structure and architecture while leading team project planning to maximise efficiency and reliability across our production systems.
Get to know our
Engineering
team — what drives us, how we work, and what you can expect.
What You’ll Be Doing
Here’s what your day-to-day might look like:
Drive Technical Excellence:
Improve code structure and architecture across your team’s remit, developing, releasing and running large-scale web applications whilst transitioning our monolithic codebase to a microservice-based architecture
Lead Project Planning:
Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features, whilst defining the backend architecture and tech stack for a product area
Optimise Operations:
Improve performance, reliability, scalability and security for our backend systems
Collaborate & Influence:
Build relationships across global engineering teams to identify collaboration opportunities and influence the wider technical roadmap.
Mentor & Hire:
Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team.
What You’ll Need to Thrive
Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
Proficiency in using AI coding tools
(e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software
Strong Engineering Principles:
Deep pride in writing readable, well-designed, and well-tested software.
Backend Expertise:
Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust).
Data Proficiency:
Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch.
Systems at Scale:
Proven ability to manage web architecture at scale (handling 20krpm and above).
Technical Leadership:
Experience breaking down large pieces of work and guiding implementation choices for a team of engineers.
Why Join Us?
At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧
Solve meaningful problems at real scale
Work on a complex, always-on marketplace that impacts millions every day.
🌱
See your impact, fast
Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
🧠
Grow through challenge and ownership
Take on big, ambiguous problems and accelerate your career with strong support.
🌎
A culture built for builders
High standards, collaboration, flexible working and continuous learning.
💰
Share in the success you help create
Competitive salary and equity options, so you’re rewarded for the impact you make.
➡️ Want a deeper look at how we build? Check out our
Tech Blog
.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our
Engineering Interview Guide here
to help you feel confident at each stage.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Toronto, Canada
At
Bradken
, we're equipping the resource sector for a sustainable future. As a global leader in innovative wear solutions and engineered products, we help customers improve performance, reliability and productivity across mining and resource operations worldwide.
We're seeking a
Product Marketing Manager
to lead the development and execution of global product marketing programs across Bradken's portfolio. This is a strategic and hands-on role where you'll work at the intersection of marketing, product management, engineering and sales, translating technical capability into compelling customer value and driving product adoption across global markets.
This role is based in Toronto and offers a hybrid working arrangement. For the right candidate, a remote working arrangement may also be considered.
About the Role
You will play a key role in shaping how Bradken's products and digital solutions are positioned, launched and promoted to customers around the world. Working closely with Product Management, Engineering and Sales teams, you'll develop value propositions, go-to-market strategies and campaigns that strengthen our market position and generate commercial opportunities.
With a strong focus on Customer Centricity, you'll develop a deep understanding of customer needs, buying behaviours and market trends to create messaging and campaigns that resonate with target audiences. You'll demonstrate Innovation by leveraging market intelligence, digital marketing approaches and AI-enabled workflows to enhance decision-making and campaign effectiveness. Through a One Team approach, you'll collaborate across global functions to deliver consistent, impactful product marketing programs.
Key responsibilities include:
Developing product positioning, value propositions and competitive messaging across Bradken's global portfolio.
Leading go-to-market strategies, product launches and lifecycle marketing programs for new and existing products.
Creating and managing always-on campaigns that support awareness, lead generation, opportunity progression and product adoption.
Translating customer, market and competitor insights into actionable recommendations for sales, marketing and product teams.
Developing and maintaining sales-enablement materials, product content, case studies, presentations and digital assets.
Managing product content across customer-facing channels, including the corporate website.
Driving the use of AI-enabled marketing workflows to support buying-group analysis, market intelligence and campaign effectiveness.
Leading and supporting the Graphic Designer to deliver product marketing priorities and customer-focused content.
About You
You are a commercially minded marketing professional who enjoys translating complex technical solutions into clear customer value. You thrive in collaborative environments, balance strategic thinking with hands-on execution, and are passionate about delivering marketing programs that influence business outcomes.
You will bring:
A tertiary qualification in Marketing, Business, Communications or a related discipline.
Demonstrated years of experience in the B2B product marketing experience within mining, manufacturing, engineering, technology or a similarly complex industrial environment.
Experience developing value propositions, product positioning, go-to-market plans and product launch programs.
Experience translating technical products, services or digital solutions into compelling customer-focused messaging.
Proven capability developing multi-channel campaigns, sales-enablement materials and product marketing content.
Experience using CRM and marketing data to measure campaign performance and pipeline contribution.
Experience gathering and applying customer, competitor and market intelligence to drive decision-making.
Practical experience using AI-enabled tools and workflows, ideally including Microsoft Copilot or similar technologies.
Experience leading marketing professionals, creative resources or agency partners will be highly regarded.
Why Bradken?
You'll join a global team where innovation, collaboration and customer success drive everything we do. We encourage our people to challenge conventional thinking, develop new ideas and contribute to meaningful outcomes for our customers, our business and the industries we serve.
We offer:
Safety-first environment and mindset
Flexible work options
Competitive Total Reward Packages
EAP for you and your family
Applicants must currently hold full, unrestricted working rights in Canada. Employer-sponsored visa support is not available for this position.
Our Hiring Process
As we work with teams around the world, time-zone differences can make live screening challenging. To support a fair, consistent, and inclusive evaluation process, we may invite candidates to complete a one-way video screening at a time that suits them. If you require adjustments or an alternative format, we're happy to discuss this with you.
Before commencing employment, you will be required to complete a psychometric assessment and pre-employment medical, including drug and alcohol testing.
We respectfully request no recruitment agency approaches.
Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.
Location: London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
About this role
Our website is one of the most important ways people discover what we offer, understand our value, and decide whether to talk to Sales or start a trial. The Web Growth team owns its roadmap and continuously improves the journey from first impression through to lead capture, demo engagement, signup, and trial start.
You’ll treat the website like a product: understand user intent, find confusion and friction, form strong hypotheses, test them with users and data, and turn what you learn into better experiences.
You’ll be just as comfortable shaping the problem and influencing the roadmap as you are designing the final interaction, prototype, or page.
What you’ll be doing
Experimentation:
Designing and iterating on experiments across landing pages, pricing, signup, and conversion flows to improve engagement, conversion, qualified leads, and trial starts.
Collaboration:
Working with Growth, Self-serve, Brand, Marketing, Product, Data, Research, and Engineering to turn opportunities into clear, buildable experiences.
Data and insight:
Using user insights and funnel data to identify opportunities, define hypotheses, and measure impact.
Product design:
Applying product design thinking to comprehension, navigation, forms, interactive demos, responsiveness, and accessibility.
Prototyping and systems:
Prototyping in Figma and code, using AI tools where useful, and working within shared components and brand systems.
Roadmap ownership:
Bringing ideas to the Web Growth roadmap, not just executing briefs.
Must have experience
Experience:
5+ years in web, product, growth, or a closely related design role, with a strong portfolio of shipped, conversion-focused work.
Growth mindset:
A track record of using design, growth frameworks, conversion rate optimisation, and funnel analysis to improve outcomes such as leads, conversion, trials, activation, or revenue.
Experimentation:
Experience designing and iterating on experiments, including A/B tests or other data-informed approaches. B2B SaaS experience is a plus.
Craft and taste:
Excellent visual and interaction design skills, with a sharp eye for typography, hierarchy, detail, and polish.
Systems and brand:
Comfortable working within an existing design system and brand, while identifying opportunities to extend and improve it.
AI fluency:
Experience using AI in your design practice, including tools such as Claude Code, Cursor, Codex, Figma Make, or similar. You should be able to explain how AI has changed your workflow and what you have built or shipped with it.
Ownership:
Able to take a brief and run with it. You work independently, make good decisions, ask the right questions, and bring solutions rather than just options.
Who this role is not for
This role is not for you if:
You only want to design campaign or marketing pages from a fixed brief. This role owns the journey from first visit through to lead, demo, signup, or trial.
You care about visual polish but not about comprehension, navigation, forms, interactive demos, or reducing friction.
You don’t want to work with funnel data, user research, experimentation, or the realities of implementation.
You want to focus on brand expression without balancing it with usability, accessibility, performance, and measurable growth.
You need a fixed roadmap and detailed requirements rather than identifying opportunities and shaping what the team should test next.
You’re not interested in working closely with Growth, Marketing, Product, Data, Research, and Engineering to make the website perform better.
What success looks like
You’ll know you’re successful if:
More visitors understand Fin and Intercom, find the right path for their needs, and take the next step with less friction.
You’ve improved meaningful growth outcomes across qualified leads, demo engagement, signups, and trial starts.
Experiments are well designed, clearly measured, and used to inform what the team does next.
You’ve made complex product value easier to understand and act on without relying on extra explanation from Sales or Marketing.
You’ve built strong working relationships with Growth, Marketing, Product, Engineering, Data, Research, Sales, and Customer Success.
You’ve raised the bar for web growth design through thoughtful, high-quality experiences that people trust and want to use.
Interview process
We understand that interviewing for a new role is both time- and energy-consuming. We aim to be thorough, speedy, and transparent in our approach.
You should expect the entire process to take no more than four weeks from start to finish. You’ll meet with members of our team and have the opportunity to validate that Intercom and the role are the right fit for you.
Ready to build something great?
If you’re excited by the opportunity to help existing businesses get more value from a self-serve product, and you have the craft, curiosity, commercial thinking, and autonomy to make a real impact, we’d love to hear from you.
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
Most subscription businesses lose a password. We lose GPU-seconds.
When someone runs two hundred accounts off one card to harvest a per-account promotional grant, the cost lands on our compute bill the same hour, and it does not stop until somebody finds them. We have found operators doing exactly that — hundreds of accounts, synchronised signups, machine- generated emails, round-the-clock automation — and we have also found that most of our worst- margin accounts are not abusers at all, just heavy users on an unlimited plan. Telling those two apart, account by account, with evidence that survives being challenged, is this job.
You are the person who finds them, proves it, and puts a number on it.
You make sure:
- Every enforcement action we take is backed by evidence a stranger could follow
- We know what abuse cost us last month, on the same basis as last month
- The detection system is measured against real cases, not against its own past decisions
- When a ring changes shape, somebody notices this week — and that somebody is you
WHAT YOU WILL DO
Investigation & casework
- Run ring investigations end to end: from a flagged account or a cost anomaly to a named cluster, its members, its signature, its lifetime economics and a recommended action.
- Build the linkage yourself — shared payment instruments, IP and ASN concentration, email-stem families, registration bursts, behavioural and automation fingerprints — and know which links are evidence and which are coincidence.
- Separate abuse from unprofitable-but-legitimate every single time. On an unlimited plan, negative gross margin is normal. Cost is a gate, never a trigger.
- Triage the review queue the detection system produces, and feed what you learn back into it. Your adjudications are the only unbiased labels the scientist has.
Evidence & defensibility
- Produce evidence packages that hold up outside the company — to an external auditor, to a payment network, to a customer disputing a ban, to Legal enforcing our Terms. Our abuse work has already been used in all four contexts.
- Write per-account, not per-ring, when the action is per-account. A ban list without a reason column is not evidence.
- Know what our Terms of Use actually entitle us to do, and flag when the evidence supports the finding but not the action.
Quantification & reporting
- Own the abuse loss number: what it cost, on what basis, net of the revenue we reversed and the legitimate customers we caught by mistake. Same definition every month, written down.
- Distinguish COGS burned, revenue at risk, revenue reversed and cash refunded — they are four different numbers and people will conflate them.
- Build the recurring reporting that tells us whether the problem is growing, and the ad-hoc answer to "why did compute spike last Tuesday" that is due the same day.
Monitoring & adaptation
- Watch the detectors themselves. A rule that stops firing is a detection event, not a quiet week.
- Check the instrument before explaining the movement: a missing upstream table, a silently dropped join, a vendor signal that went away. This has bitten us and it will again.
- Spot new abuse patterns before they are in anybody's model — usually in a cost anomaly, a strange cohort, or a support ticket that does not fit.
How we work
- SQL and Python on raw payment, usage and identity data in BigQuery, without anyone preparing it for you. We use AI heavily — resourcefulness beats syntax.
- Close partnership with the Antifraud data scientist (you validate what they build), Payments (chargebacks and processor signals), Support (the humans who meet your false positives) and Finance (the loss number goes in the accounts).
WHO WE'RE LOOKING FOR
- 2+ years doing investigative or risk analytics — fraud, abuse, trust and safety, AML, chargebacks, gaming or marketplace integrity. What matters is that you have chased real bad actors, not modelled them in the abstract.
- Strong SQL, without help. Self-joins, window functions, cohort replay, and joining payments to usage to identity across messy keys. This is the single most-used skill in the role.
- Python at working level for analysis — pandas, notebooks, a bit of graph work.
- Investigative instinct: you follow the thread, you notice the thing that does not fit, and you can say when a pattern is a coincidence.
- Evidentiary discipline: you can write up a finding so that somebody who distrusts you can check it, and you know the difference between "this looks like abuse" and "this is provable."
- Unit-economics literacy: gross margin per account, what compute costs, and why a negative-margin customer may be entirely legitimate.
- The judgment to escalate rather than act when the evidence is thin, and to say so in writing.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Fraud / risk analysts from fintech, payments, marketplaces, gaming, crypto or betting
- Trust & safety investigators and platform-integrity analysts
- Chargeback, dispute or AML analysts who write their own queries
- Strong product or BI analysts who got handed the abuse problem and kept it
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Want to build models full time — that is the Antifraud data scientist, and it is open
- Want to do content moderation or NSFW classification
- Would put an account on a ban list without being able to say why in one sentence
- Treat every negative-margin account as an abuser
- Need a labelled dataset or a clean table before you can start
- Are uncomfortable that your work gets real people's accounts restricted, sometimes wrongly
- Want predictable 9–5 workdays
HIRING PROCESS
- Screening call (30 min)
- Hiring-manager screen (30 min)
- Business case (1,5 hour)
- Tech interview (1,5 hour)
- Final interview (30 min)
- Paid on-site trial (1 month)
THE DEAL
- Competitive salary in USD
- Equity: participation in the company's stock option program
- On-site role in Almaty, Kazakhstan
- Relocation support (flight + temporary housing)
- Flat structure, high autonomy, fast career growth
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
Generative video has a problem most subscription businesses don't: every unit we sell costs us real compute. A stolen password costs a streaming service nothing. An account farm on an unlimited generation plan costs us GPU-seconds, at scale, every hour it runs.
We have found organised operators running hundreds of accounts on a single card, reselling unlimited generations, and harvesting per-account promotional grants at industrial scale. We have also found that most of our negative-margin accounts are not abuse at all — they are ordinary heavy users on an unlimited plan, which is a pricing problem wearing a fraud costume. Telling those two populations apart, at account level, before the money is gone, is this job.
You own the question of who is taking value they did not pay for, and the system that stops them.
You make sure:
- We catch abuse before the compute is burned, not in a post-mortem that reconciles the loss
- Every enforcement action has a measured precision, a measured cost of being wrong, and a way back for the customer we got wrong
- The difference between fraud and unprofitable pricing is a number we can defend, not a vibe
- When operators adapt — and they will, within days — we find out from a monitor, not from the monthly margin review
WHAT YOU WILL DO
Detection & scoring
- Own the account-abuse scoring system end to end: signals, weights, thresholds, the scoring job, the monitoring, and the recalibration when it decays.
- Build detection that fires early. A rule that catches 88% of the money on day 11 is worth far less than one that catches 60% at checkout, and you should be able to say why in dollars.
- Work the two halves that actually matter together: linkage (who is connected to whom) and economics (what are they consuming). Either one alone produces a system nobody can switch on — linkage without economics flags families sharing a card, economics without linkage flags our best customers.
- Treat cost as a gate, not a label. On an unlimited plan, being gross-margin negative is normal.
Entity resolution & ring detection
- Find rings, not just accounts: shared payment instruments, IP and ASN concentration, email-stem families, synchronised registration bursts, behavioural fingerprints, automation signatures.
- Do it without a reliable device fingerprint — we do not have one today, and part of this job is telling us what it would be worth and what it would cost.
- Know where graph methods break. Transitive closure through a shared card will happily merge thousands of unrelated people into one "ring"; we have done exactly that and thrown the result away.
Enforcement, policy & the cost of being wrong
- Design graduated, reversible actions — throttle, rate-limit, step-up verification, hold, pre-grant refusal, manual review queue, ban — and match the severity to the confidence.
- Own the false-positive budget explicitly: how many paying customers are we willing to inconvenience to save a dollar of compute, and what is the appeal path for the ones we get wrong.
- Build the pre-grant gates. The cheapest abuse to stop is the kind we decline to enable in the first place — a trial we do not grant costs nothing to claw back.
- Partner with Payments on Stripe Radar, chargebacks and dispute economics; with Support on the queue your model creates; with Legal on what our Terms actually entitle us to do.
Measurement & adversarial monitoring
- Quantify what the system is worth in money — COGS avoided, net of the revenue you destroyed and the support cost you created. Keep that number current.
- Run holdouts even on enforcement, wherever it is legal and safe to do so, because otherwise you will never know what your rules are worth.
- Monitor for adaptation, not just drift. Model decay here is caused by an adversary, and it looks different: a signal stops firing, a ring changes shape, a cohort's behaviour shifts inside a week.
- Watch your own inputs. A detection system that silently loses a feature degrades to a system that cannot reach its own threshold — and reports nothing wrong while doing it.
Making it usable
- Ship scores and reasons, never scores alone. An analyst, a support agent or an auditor must be able to read why an account was actioned.
- Produce evidence that survives outside the company. Our abuse work has already been used in an external audit and in Terms-of-Use enforcement; write for that standard.
- Work in SQL, Python and BigQuery on raw event, payment and generation data. We use AI heavily — resourcefulness beats syntax.
WHO WE'RE LOOKING FOR
- Experience building abuse, fraud or trust-and-safety detection that actually took action on real users — payments fraud, promo abuse, multi-accounting, bonus abuse, account takeover, marketplace or gaming abuse. Anti-money-laundering and credit-risk backgrounds transfer if the modelling was yours.
- Genuine understanding of the adversarial setting: that your counterparty responds, that your training labels are generated by your own past decisions, and that offline AUC on a censored label set is close to meaningless.
- Strong SQL and Python on raw event data without help: joins across payments, usage and identity, window functions, cohort replay. Gradient boosting, and the judgment to know when a two-condition rule beats a model.
- Comfort with graph and linkage thinking — connected components, shared-attribute clustering, and an instinct for when a link is evidence and when it is coincidence.
- Precision-first evaluation instincts: precision at the operating point, cost-weighted error, and why you would take 20% recall at 90% precision over the reverse in an enforcement system.
- Unit-economics literacy: gross margin per account, what compute actually costs us, why a negative-margin customer may be entirely legitimate.
- The judgment to escalate rather than act when the evidence is thin, and to say so in writing.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Fraud / risk data scientists from fintech, payments, marketplaces, gaming or crypto
- Trust & safety and platform-integrity teams who owned detection and enforcement policy
- Growth or product data scientists who ended up owning promo-abuse because nobody else would
- Analysts from payment processors, PSPs or chargeback/dispute operations who moved into modelling
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Want to build content-moderation or NSFW classification — that is a different function here
- Would ship a ban list without knowing its precision
- Optimize AUC on a label set your own enforcement created, and call it validated
- Need a labelled fraud dataset to exist before you can start
- Treat every negative-margin account as an abuser
- Are uncomfortable that being right 90% of the time means being wrong about real, paying, legitimate people — and that you own what happens to them
- Want predictable 9–5 workdays
HIRING PROCESS
- Screening call (30 min)
- Hiring-manager screen (30 min)
- Business case (1 hour)
- Take-home with real-shaped data (7 days, ~10–12 hours of work)
- Team interview (60 min)
- Paid on-site trial (1 month)
THE DEAL
- Competitive salary in USD
- Equity: participation in the company's stock option program
- On-site role in Almaty, Kazakhstan
- Relocation support (flight + temporary housing)
- Flat structure, high autonomy, fast career growth
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
We sell subscriptions and credit packs to consumers in over a hundred countries, and today almost all of it moves as cross-border card payments in USD. That has three consequences, and this role owns all three.
We are declined more than we should be. In some of our largest growth markets roughly one attempt in three fails, and a meaningful share of those are not "no money" — they are cross-border blocks, card limits, stale credentials on renewal, and issuers who do not recognise us.
We pay more than we should. Our blended cost of acceptance is the single largest line below compute, and the majority of the network component sits on transactions our processor classes as cross-border.
We are not on the rails our customers use. In two of our fastest-growing markets, the dominant local payment method is one we do not offer at all.
You own the measurement and the argument behind fixing all of it.
You make sure:
- We know our true authorization rate — at the unit the business actually cares about, not the one that is easy to compute
- Every basis point of payment cost has a name, a geography and an owner
- A decline is a diagnosis, not a statistic
- When we propose a new rail, a new entity or a new processor arrangement, the number underneath it holds up to Stripe's own analysis and to our board's
WHAT YOU WILL DO
Authorization & decline analysis
- Own authorization rate end to end: by country, issuer, BIN, card brand and funding type, plan price point, first payment vs renewal, and payment method.
- Build and maintain the decline taxonomy — what each decline code actually means, which are recoverable, which are terminal, and which are us rather than them.
- Measure at the right unit. An invoice that succeeds on the third retry is a success, not two failures and a success, and reporting it the other way has made teams optimise the wrong thing.
- Separate soft declines we can recover from hard declines we cannot, and put a number on the recoverable pool.
Cost of acceptance
- Own the blended take rate and its decomposition: interchange, scheme fees, processor markup, cross-border and currency-conversion components, disputes, and the fixed per-transaction pieces.
- Find where the cost actually sits. Averages hide it — the cost is concentrated by corridor, by card type and by whether the transaction is domestic.
- Build the evidence for commercial conversations with our processor, and keep it current enough to reuse.
Local payment methods, entities and routing
- Size the case for new rails market by market: what share of local commerce runs on them, what our current card performance costs us, and what we would realistically recover.
- Model merchant-of-record and local-acquiring arrangements against the alternative of our own entities, honestly — including the fee we would pay for the privilege.
- Design and read the experiments that prove it, with the product analytics team. A new payment method is an A/B test, not a launch.
Renewals, dunning and involuntary churn
- Own the retry and dunning strategy as a measurable system: when to retry, how often, through which rail, and when to stop.
- Quantify involuntary churn separately from voluntary. They look identical in a cancellation count and they need completely different fixes.
- Track the health of stored credentials — network tokens, card-account-updater coverage, expiring cards — because in a subscription business that is silent revenue leakage.
Disputes, refunds and reconciliation
- Own dispute and chargeback rates against network thresholds, with the lag handled properly — disputes arrive weeks after the charge and a same-period denominator understates you.
- Reconcile processor data to the revenue ledger and explain the differences rather than plugging them.
- Work with the antifraud team where disputes are abuse rather than genuine dissatisfaction.
HOW WE WORK
- SQL and Python on raw processor and billing data in BigQuery. We use AI heavily — resourcefulness beats syntax.
- Partner with Finance (the numbers get booked), Product (checkout and paywall), Engineering (the billing integration) and our processor's team directly.
WHO WE'RE LOOKING FOR
- 2+ years in payments analytics, payment operations, billing, or risk at a merchant, PSP, acquirer, or fintech. This is a domain role — general analytics experience without payments does not transfer quickly enough.
- Fluency in the actual mechanics: authorization vs capture vs settlement, decline codes, 3DS and SCA, network tokens and account updater, interchange and scheme fees, chargeback lifecycle, MCC, BIN, cross-border and DCC.
- Strong SQL, without help. Most of this job is joining sessions to intents to charges to invoices to refunds across imperfect keys and getting the denominator right.
- Python at working level for analysis.
- The instinct to check the unit of measurement before quoting a rate — per attempt, per invoice, per user, per session are four different numbers and only one of them answers the question.
- Comfort with subscription billing specifically: renewals, proration, plan changes, failed payments, dunning, involuntary churn.
- Commercial judgment: you can build the case for a rail or a rate and defend it against a vendor who does this for a living.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Payment operations or payments analytics at a consumer subscription, marketplace or gaming company
- Analysts from PSPs, acquirers, orchestration platforms or card networks
- Billing / revenue operations analysts who owned dunning and involuntary churn
- Risk or chargeback analysts who moved toward the acceptance side
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Want to own checkout UX or pricing — that is Product Analyst, and it is open
- Want to build fraud models — that is the Antifraud data scientist, and it is open
- Would report an authorization rate without saying what the denominator was
- Would take a processor's own analysis of their own performance at face value
- Need someone else to prepare the data
- Want predictable 9–5 workdays
HIRING PROCESS
- Screening call (30 min)
- Hiring-manager screen (30 min)
- Business case (1 hour)
- Take-home with real-shaped data (7 days, ~10–12 hours of work)
- Team interview (60 min)
- Paid on-site trial (1 month)
THE DEAL
- Competitive salary in USD
- Equity: participation in the company's stock option program
- On-site role in Almaty, Kazakhstan
- Relocation support (flight + temporary housing)
- Flat structure, high autonomy, fast career growth
Location: Remote
Workplace: Remote
About Prefect
Prefect builds automation for an unpredictable world. The last decade of automation was about protecting workflows from unpredictability; in the agentic era, unpredictability is the point. Our mission is to give people confidence in automated work, whether that work is a mission-critical data pipeline or a fleet of AI agents.
In August 2026, Prefect and Dagster, competitors for eight years, joined forces to build the next generation of automation infrastructure. Today, our ecosystem includes Dagster, the data platform; Prefect, the agent platform; and FastMCP, the leading open-source developer framework for the MCP ecosystem. Together, our open-source and commercial products are trusted by Fortune 500 companies, data innovators, and high-growth technology companies around the world.
We think of our culture as the operating system of the company. We’ve carefully created a supportive, high-performance environment that empowers our team to do the best work of their careers, have meaningful impact, and continue growing personally and professionally. We’re a remote-first team that values high standards, ownership, and thoughtful collaboration.
ROLE SUMMARY
Developer Success is the technical support function for Prefect's customers across the Prefect and Dagster product lines. Its mission is to resolve customer technical issues with the least possible customer effort, and to prevent those issues from recurring.
We are hiring a Developer Success Engineer to work the combined Prefect and Dagster support queue. You will diagnose and resolve technical issues in customer environments, own each issue through resolution, and contribute to the documentation, tooling, and product feedback that reduce future volume. You will be trained on both Prefect’s and Dagster’s products.
The team is investing in agent-based automation for routine support work, which is moving the engineering focus toward complex diagnosis and escalation. This role is well suited to an engineer who wants to build deep expertise in orchestration and data platform environments and apply it directly with customers.
WHAT YOU'LL DO
- Clear the failure state, and prevent the next one. Diagnose problems across Prefect and Dagster installations, integrations, deployments, and the cloud and container environments they run in. Find the underlying "why" so your first response resolves the question and pre-empts the follow-ups. Turn what you learn into docs, debugging resources, and tooling that deflect repeat submissions.
- Own what's ours; say no clearly to what isn't. Take full accountability for root causes inside our products' domain of control. For problems outside our Scope of Support, issue a principled no that still gives the customer a way forward. Helplessness erodes trust as fast as a wrong answer.
- Support your findings, and ask customers to support theirs. Back every diagnosis with evidence and logic. Assume the customer is the expert on their own stack, ask for what you need to troubleshoot both sides of an issue, and explain why you need it. Leave room for the possibility you've missed something.
- Give the best possible update every time, and say so when you're still building it. A half-baked answer sent fast is worse than a complete one sent when it's ready; but radio silence is worse than both. When an issue needs to be escalated, you stay the customer's single point of contact, keep them updated on a regular cadence, and close the loop.
- Feed the product. File reproducible product issues and surface recurring failure patterns to Engineering and Product.
You'll work the queue independently on day-to-day issues and own moderate-complexity problems end to end, including investigations across a customer's cloud environment. You'll ask when the Scope of Support or an escalation path is unclear, and you'll build the judgment to recognize when an issue belongs with Customer Engineering or a CSM instead. We measure the role on Customer Effort Score and resolution time, held in tension: a fast answer that costs the customer effort isn't a good one.
Coverage is 9am to 5pm Pacific, with an on-call rotation shared across the team.
YOUR QUALIFICATIONS
Must have:
- Python fluency at the level of reading and debugging someone else's code, not only writing your own.
- Hands-on experience running workloads in at least one major cloud and in containers or Kubernetes, enough to troubleshoot a deployment you didn't build.
- Experience with a workflow orchestrator (Prefect, Dagster, Airflow, or comparable) and a strong interest in the data engineering space it lives in.
- A track record of technical, customer-facing work: support, solutions engineering, developer relations, or similar.
- Clear enough written communication to explain a root cause to a skeptical senior engineer and earn their trust.
Nice to have:
- Direct experience with Prefect or Dagster specifically.
- A history of open-source contribution, in any project.
- SQL and data warehouse familiarity.
- Experience building support tooling or automation.
WHAT TO EXPECT
This is a support role. There's a queue, a Scope of Support, and an on-call rotation, and the first job is always the failure state in front of you. If a defined scope and a real customer on the other end of every problem sounds like the point, this is the role. While engineers on this team do contribute code and take on consultative work, the queue comes first. Those opportunities will progressively open up as the agent tooling absorbs the formulaic work.
WHAT YOU'LL GET IN RETURN
Base Salary Ranges:
- San Francisco Bay Area & NYC Metro: $149,000–$176,000
- Washington D.C., Boston, LA Metro, Seattle: $136,000-$165,000
- Denver, Chicago, Atlanta, & all other U.S. metros: $128,000–$150,000
Actual base salary within each range depends on the candidate's location, experience, and qualifications. Please keep in mind that equity and benefits are not included in the range provided above. Your recruiter can share more about the salary range for your preferred location during the hiring process.
Perks and Benefits:
- Remote-first team with flexible-first culture
- Equity Stock Options
- 401(k) with 5% company match (vests immediately!)
- Unlimited PTO
- Medical, Dental and Vision insurance
- Generous Parental Leave
- Life Insurance and Disability benefits
- $800/month remote work stipend
And that's just the start — for more info check out our benefits and perks on our careers page.
BELONGINGNESS AT PREFECT:
Belongingness at Prefect is our commitment to ensuring mutual power, access, and opportunity among all groups and individuals who make up our community. We operationalize belongingness through actions large and small on a daily basis, but always with the goal that all groups and individuals can contribute as their most authentic self to the evolution of our product, our team, and our community.
Belongingness is also our commitment to bridge with individuals or groups not yet established in our community, acknowledge differences in a way that affirms distinct identities, and allows for a new, more expansive group identity to form.
EQUAL OPPORTUNITY AT PREFECT:
Prefect is an equal opportunity employer and encourages applications from people of all backgrounds. All applicants will be considered for employment without attention to race, religion, color, sex (including pregnancy, sexual orientation and gender identity/expression), national origin, disability or any other status protected under applicable federal, state, or local laws.
Delaney is a real live person (👋🏻) and is looking forward to learning more about you through your application.
Location: Tokyo, Japan
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 Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.
Key Responsibilities
Strategic Technical Partnership
: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.
Joint Solution Development:
Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment
Customer Deal Support:
Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
Partner Ecosystem & Events
: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.
Product Feedback:
Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.
Preferred qualifications
5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Fluent in Japanese and English
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for a Customer Marketing Manager to make sure our most important messages are backed by customers who can speak to them. This role works across regions and customer segments on special projects tied to the company's top priorities.
When we launch a new model, feature, or initiative, you'll find the customers who can speak to it and get them on the record. We're looking for an excellent communicator who can turn customer stories into multiple formats that flex across channels. This often means working under compressed timelines and leading customer storytelling on some of the most important projects at Anthropic.
You'll work closely with Product Marketing, Sales, Brand, Comms, Customer Marketing segment leads, and the writers on our team. The right person has done both product marketing and customer marketing, and has a reporter's nose for a good story.
Key responsibilities
Own the customer evidence strategy for the company's top priorities, deciding which claims need customer proof, which customers are best placed to back them up, and where we have gaps to close
Bring what customers are telling us back to Product Marketing and Sales, so our messaging reflects what lands with buyers
Stand up new programs as company priorities shift, setting the scope, the customer list, and the plan to ship quickly
Lead the customer plan for major model and product launches, from which customers we engage with to how their voices show up in the announcement
Partner with Brand and Creative on which customer stories anchor our campaigns and how we tell them
Build proof point libraries and enablement around our key messages, so account teams know which story to use and when
Shape the customer narrative our executives use in keynotes, posts, and customer conversations
Prioritize customer asks when several teams want to tap the same customer, and work with Comms, Legal, and customer executives to get high-profile stories approved
Minimum qualifications
Can read a messaging doc and quickly spot what customer proof it needs and where the gaps are
Are a strong writer and interviewer who can get a customer to say something specific and true, then turn it into a story people want to read
Have supported product launches and campaigns with customer proof, often on tight timelines
Have built sales enablement that sales teams kept using after launch week
Are comfortable with technical products and can explain/write what a customer built, and why it matters, in plain language
Know how to work across a lot of teams without formal authority, and can say “not yet” when a request doesn't fit the plan
Have good judgment about when a story is ready and when it needs more work
Enjoy moving between very different projects, sometimes in the same week
Already use Claude to help with drafts and interview prep
Preferred qualifications
Have 7+ years in B2B marketing, with time in both product marketing and customer marketing
Worked in AI or developer tools
A background in journalism or editorial
A background in Product Marketing or Messaging
Written keynotes or LinkedIn posts for executives
Run message testing or win/loss interviews to learn what buyers respond to
Worked with Comms or analyst relations on announcements that featured customers
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:
$255,000
—
$320,000 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, Australia
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
Based in Sydney, as a Senior Solutions Architect in GitLab's ANZ team, you'll be a trusted advisor to GitLab prospects and customers in the region, helping them understand how GitLab's AI-powered DevSecOps platform addresses both technical requirements and business objectives across the entire software development lifecycle. You'll guide organisations through their digital transformation journeys, from planning through monitoring, using your technical expertise, understanding of cloud and modern software development practices, and strong customer empathy.
You will partner closely with Account Executives and cross-functional teams, own technical evaluations, including proofs of value and workshops, shape solution architectures, and serve as the voice of the customer back to Product Management. You'll focus on driving successful platform adoption, influencing revenue growth through solution selling, and building long-term, trust-based relationships that showcase GitLab's differentiated position in an AI-driven DevSecOps landscape.
What you'll do
Lead technical discovery, demos, and validation to show how GitLab's AI-powered DevSecOps platform meets customers' technical and business needs across the full lifecycle.
Drive the technical evaluation process as the directly responsible individual, including solution design, proof of concept or proof of value ownership, workshop design, and the technical components of tenders, audits, and value stream assessments.
Collaborate with Account Executives and regional sales teams across ANZ to shape and execute account strategies that support new customer acquisition and expansion.
Build and deepen relationships with technical practitioners and business leaders, guiding them through GitLab-driven transformation and enabling them to become GitLab advocates.
Advise customers on modern software development, continuous integration, continuous deployment, security, and cloud practices, challenging existing approaches to improve return on investment.
Serve as the voice of the customer with Product Management, Engineering, Sales, and Marketing by sharing feedback, use cases, and competitive insights that inform roadmap and positioning.
Maintain and extend your technical expertise in GitLab, DevSecOps, AI, and related cloud technologies, creating reusable examples, best practice guidance, and technical collateral for customers and partners.
Invest in your own growth and development through ongoing learning, mentorship, and knowledge sharing to continuously improve the impact of the Solutions Architect team.
What you'll bring
Experience engaging with customers in technical pre-sales, consulting, or similar roles, guiding them through solution design and evaluation.
Proficiency with the end-to-end software development lifecycle, including modern DevSecOps practices and continuous integration and continuous deployment workflows.
Hands-on experience with GitLab or comparable source control, continuous integration and continuous deployment, and collaboration platforms, and the ability to map platform capabilities to customer use cases.
Practical knowledge of cloud computing concepts and related technologies, with the ability to discuss deployment, security, and operations options with technical teams.
Ability to lead technical evaluations such as proofs of concept or proofs of value, contribute to tenders or audits, and design and run workshops or value stream assessments.
Clear technical communication and presentation skills, with the ability to adapt messages for practitioners through to senior business and technical decision makers.
Skill in building trusted relationships, listening with empathy, and acting as a customer advocate to internal teams such as Product, Engineering, Sales, and Marketing.
Motivation to continuously develop professionally, including learning new technologies, deepening GitLab platform expertise, and applying transferable experience from related fields.
About the team
The Solutions Architect team is part of GitLab's Sales organisation and serves as the technical counterpart to Account Executives, with this role focused on opportunities across ANZ. The team helps customers realise the full value of GitLab's AI-powered DevSecOps platform by advising on architecture, running technical evaluations such as proofs of value, and guiding customers through digital transformation. We work closely with Sales, Product Management, Engineering, and Marketing, collaborating asynchronously across regions to share best practices, create reusable technical collateral, and act as the voice of the customer. The team is focused on helping customers modernise end-to-end software delivery, adopt GitLab at scale, and navigate a rapidly evolving AI and DevSecOps landscape.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
УдалённоRemote - UK
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.
УдалённоUnited States (Remote); We encourage candidates from all backgrounds to apply; Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com
APAC Remote; EMEA Remote
seniorUnited States - Remote
УдалённоleadNew York, NY (HQ); San Francisco, CA; Remote (US); Relocation expense coverage to NYC or SF (if needed)
ГибридseniorBerlin
seniorWe believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
Toronto, Canada; As we work with teams around the world, time-zone differences can make live screening challenging
seniorLondon, England
ОфисAlmaty, Kazakhstan; Relocation support (flight + temporary housing)
ОфисAlmaty, Kazakhstan; Relocation support (flight + temporary housing)
ОфисAlmaty, Kazakhstan; Relocation support (flight + temporary housing)
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