Location: South Africa; Pakistan; Philippines
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
Job Summary
This is a rare 0→1 opportunity to build a financial platform from the ground up within an established and profitable ecosystem.
We are looking for a highly hands-on Founding Fintech Engineer – Banking & Payments who has previously built serious financial infrastructure and now wants significantly more ownership.
You will work directly with the founders and alongside an existing technical developer to architect and build a neobank-style platform spanning business onboarding, KYC/KYB, accounts, payments, cards, FX, ledgers, reconciliation, and money movement.
This is not a traditional engineering management position. We are looking for a strong individual contributor or technical lead who remains deeply technical, enjoys writing production code, and is comfortable solving difficult problems without an established playbook.
As one of the earliest engineers on the financial product, you will have substantial influence over architecture, technology choices, financial domain models, provider integrations, engineering standards, and eventually the team built around the platform.
Key Responsibilities
Architect and build core financial infrastructure, including accounts, balances, ledgers, KYC/KYB workflows, transaction state machines, and reconciliation systems.
Design and implement integrations with regulated banking partners, card issuers, payment providers, and payment rails including ACH, wires, international payments, and FX.
Build provider-independent architecture that enables integration with multiple banks and financial infrastructure partners without creating dependency on a single provider.
Develop secure, reliable financial APIs and data models capable of supporting complex transaction and money-movement workflows.
Build asynchronous systems involving queues, events, retries, idempotency, exception handling, and transaction processing.
Develop card issuing and card management integrations alongside multi-currency and FX functionality.
Build internal operations, compliance, permissions, limits, and approval tooling.
Own systems and features end-to-end, from architecture and database design through implementation, testing, deployment, and production operation.
Work directly with the founders to translate business and product requirements into pragmatic technical solutions.
Establish engineering standards and technical foundations that can support the future engineering team.
Take initiative in ambiguous situations and independently identify solutions to complex technical and product problems.
Requirements
3–8+ years of professional software engineering experience with excellent backend or full-stack fundamentals.
Strong hands-on experience building production-grade APIs, backend services, and distributed systems.
Proven experience working on complex systems where reliability, consistency, and data integrity are critical.
Strong database architecture, data modeling, and system design skills.
Experience with asynchronous workflows, including queues, events, retries, idempotency, and failure handling.
Strong engineering judgment and the ability to balance speed, scalability, reliability, and maintainability.
Demonstrated experience owning technical systems or major product areas end-to-end.
Strong product instincts and an ability to translate ambiguous requirements into working software.
Comfortable operating in a fast-moving, early-stage or 0→1 environment.
A natural technical leader who takes initiative without needing a large team or established processes.
Highly hands-on and genuinely excited to continue writing and shipping production code.
Nice-to-Haves
Significant hands-on experience within fintech, neobanking, banking infrastructure, payments, or financial technology.
Experience building core banking, payment, ledger, card, FX, reconciliation, or money-movement infrastructure.
Previous experience as an individual contributor or technical lead at a leading fintech, neobank, payments company, or financial infrastructure provider.
Background at companies similar to Revolut, Wise, Monzo, N26, Nubank, Brex, Stripe, Plaid, Airwallex, Nium, Razorpay, Adyen, Checkout.com, PayPal, Column, or Modern Treasury.
Experience designing financial ledgers, transaction state machines, or reconciliation systems.
Familiarity with KYC/KYB, compliance workflows, and regulated banking integrations.
Experience with card issuing or payment-processing infrastructure.
Experience building multi-currency or FX-heavy financial products.
Experience integrating multiple banking or financial infrastructure providers into a single platform.
Previous experience joining an engineering organization early and helping take a product from 0→1.
Benefits
💰 Milestone-based compensation
🌎 Fully remote and flexible work environment
🚀 High-impact founding role with 0→1 ownership
📈 Direct influence over architecture and technical direction
🎯 Opportunity to build on top of an already profitable platform
🛠️ Modern tech stack and provider-agnostic architecture
🧠 Collaborative environment working directly with experienced founders
Location: Remote
Workplace: Remote
Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide.
Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/!
We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.
Our most active users deserve a relationship with Phantom, not a ticket queue. We are launching an invite only VIP program in app messaging with a real person, enhanced support, and exclusive experiences. You will be its first dedicated hire.
As a VIP Account Manager, you are the first point of contact for VIP members inside the app. You will own these relationships end to end: welcoming new members, resolving issues personally, pulling in support and engineering when a case needs them, and staying with it until it is closed. You will help shape the playbook for the team we build around you as the program scales toward round the clock coverage. You will work closely with the VIP program lead, support, marketing, product, and design.
RESPONSIBILITIES
- Be the personal, named contact for VIP members in our in-app messaging hub
- Own member relationships end to end: onboarding and welcome, proactive check-ins, and follow through on every issue until it is resolved.
- Handle high stakes situations such as compromised wallets, missing funds, and large transactions with urgency, precision, and discretion.
- Triage and escalate: bring in support agents, engineering, or leadership when a case warrants it, and own the communication back to the member.
- Meet members where they are: in-app chat first, plus email, X, Telegram, and Discord.
- Coordinate the moments beyond support: welcome gifts, event experiences, and early access to new features.
- Turn conversations into leverage: channel member feedback to product, build playbooks, and help define the response time and satisfaction standards for the VIP team.
- Help design and scale the program from a small founding cohort to thousands of members, and eventually 24/7 coverage.
QUALIFICATIONS
- 4+ years in premium or VIP support, account management, or customer success, ideally at a sports betting platform, crypto exchange, wallet, brokerage, or fintech app.
- Deep crypto fluency: you understand self custody and can navigate multiple chains, reading a block explorer, tracing a transaction, and telling an L2 gas issue apart from a bug.
- Exceptional written communication: warm, concise, and human, even under pressure.
- Absolute discretion: for high value users, privacy and trust are the product.
- Security first instincts: you know the social engineering patterns targeting crypto users, and you would never ask anyone for a seed phrase.
- Comfort with ambiguity and ownership: you are the first hire in a new function and will build much of the process yourself.
- Time zone flexibility: our members are global and markets do not close, so some evening and weekend availability is part of the job.
- Nice to have: experience serving high net worth clients at an exchange or brokerage.
- Nice to have: hands on experience with Zendesk and AI support tooling.
- Nice to have: fluency in more than one language, or an active Phantom user with real on chain history.
Why Work With Us
Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.
- Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.
- Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless.
- Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation.
Benefits (only available to full-time employees)
- Competitive salary and equity
- Comprehensive insurance (medical/dental/vision): base plan 100% covered
- Flexible hours and a long-standing, supportive remote environment
- Unlimited vacation: Take time when you need it (and we really mean it!)
- 401(k) retirement plan
- Wellness stipend
- Weekly meal stipend
- Learning & Development stipend
- Remote / WFH set-up stipend
We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career.
By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
This role owns how Higgsfield measures its product - from the first sign-up to whether people come back.
You are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing.
You make sure:
- Every product decision has a number attached to it before it ships and after it ships
- Experiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work”
- The events the product emits can be trusted; you own the definition, not just the query
- A PM gets an answer in hours, not next sprint
You are the person who decides what “it worked” means.
WHAT YOU WILL DO
Product measurement
- Own the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment.
- Define each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack.
- Instrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it.
- Watch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it.
Experimentation
- Design A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics.
- Read them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity.
- Separate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud.
Product & monetization analysis
- In-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups.
- Pricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model.
- Feature adoption and its real effect on retention and revenue — separating “users who do X retain better” from “making people do X improves retention.”
- Behavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters.
Making it usable
- Build the few dashboards PMs actually open on their own — decision-shaped, not comprehensive.
- Write short readouts a non-analyst can act on. Visualize data for humans, not for other analysts.
- Automate recurring reporting so your hours go to new questions, not refreshes.
- Work in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax.
WHO WE'RE LOOKING FOR
We're looking for an analyst with opinions.
You should have:
- Strong SQL: window functions, cohorts, funnels and retention on raw event data, without help.
- Python at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily.
- Real experimentation experience: you have designed tests, run them, and killed features with the results.
- Statistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win.
- Understanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits.
- The instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact.
- Ownership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Product analysts from consumer subscription or PLG products
- Growth/BI analysts who moved into product and stayed
- Early-startup analysts who built product measurement from zero
- Data scientists who got tired of models and want decisions
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Wait for a ticket to tell you what to analyze
- Want to build models more than you want to change decisions
- Need a data engineering team and clean tables to exist before you can start
- Would report a lift you don't believe in because a stakeholder wants it
- Need perfect data before you can say anything useful
- Want predictable 9–5 workdays
HIRING PROCESS
- Screening call (30 min)
- Hiring-manager screen (30 min)
- Business case (1 hour)
- Take-home with real-shaped data (7 days, ~10–12 hours of work)
- Team interview (60 min)
- Paid on-site trial (1 month)
WHAT WE OFFER
- Competitive base salary in USD, based on your experience, skills, and the scope of the role.
- Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
- Relocation support to Almaty for candidates moving from another city or country.
- A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
- Opportunities for professional growth, ownership, and career development as the company scales.
- Company-provided equipment, meals, transportation, or other office benefits.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing.
This role makes the company act per user, and know what that action was worth.
You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number.
You make sure:
- Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else
- We know who is about to churn early enough to do something about it — and we know whether the something worked
- Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three
- Every model and every campaign has a holdout behind it, so we can always state what it is worth in money
WHAT YOU WILL DO
Churn, retention & lifecycle propensity
- Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it.
- Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing.
- Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system.
- Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list.
Uplift modelling & offer targeting
- Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves.
- Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes.
- Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off.
- Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup.
- Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it.
Lifetime value & payer economics
- Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount.
- Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes.
- Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling.
- Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it.
Experimentation & causal measurement
- Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it.
- Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying.
- Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud.
- Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck.
How we ship
- Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining.
- Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit.
- Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score.
- Write down what each model is worth, in money, and keep that number current.
WHO WE'RE LOOKING FOR
- Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this.
- Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale.
- Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift.
- Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot.
- Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer.
- Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model.
- Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached
- CRM and lifecycle data scientists who owned campaign targetingandits incrementality
- Causal inference and uplift specialists who ship policies rather than papers
- Strong product analysts who moved into modelling and kept the decision instinct
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open
- Want to own a recommender or a serving stack — ranking is not in this role's scope today
- Would target an offer at the users most likely to buy and call it personalization
- Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't
- Optimize AUC and hand the score to someone else to work out what to do with it
- Need clean labelled data, a feature store and an experimentation platform to exist before you can start
- Want predictable 9–5 workdays
HIRING PROCESS
We move fast:
- Screening call (30 min)
- Technical interview & case study (1 hour)
- Practical home task (7 days)
- Team interview (60 min)
- Paid on-site trial (1 month)
WHAT WE OFFER
- Competitive base salary in USD, based on your experience, skills, and the scope of the role.
- Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
- Relocation support to Almaty for candidates moving from another city or country.
- A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
- Opportunities for professional growth, ownership, and career development as the company scales.
- Company-provided equipment, meals, transportation, or other office benefits.
Location: 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.
In 365 days we shipped 305 releases — roughly five years of work at most companies. New models, features and workflows land every week, and each one has to be explained to millions of users in a way that makes them understand it, want to try it, and remember it.
WHAT YOU WILL WORK ON
- Writing about releases, features and updates for our blog, guides and newsletters;
- Translating product context into language users actually understand;
- Working cross-functionally — inside CX, and with the product and marketing teams;
- Shaping how Higgsfield sounds: the words we use about ourselves, how we're read, how we're remembered.
YOUR MUST HAVES
- English C1+ — the language you think in, not the one you translate into;
- Real craft with text in English and Russian: you write from scratch, edit for different audiences, and feel rhythm. You can write simply and you can write densely. You understand structure and know how words move people;
- A nitpicker, in the best sense: you see a weak sentence and can't leave it. You notice where a paragraph sags, where an analogy doesn't hold, where cutting three words makes it stronger;
- A-player mindset: ownership, speed, taste, and genuine interest in AI;
- Comfort with the pace — releases ship weekly and the writing has to keep up.
NICE TO HAVE
- Experience writing for a tech, SaaS or AI product;
- Background in product documentation, developer content or technical writing;
- Familiarity with the GenAI landscape and the tools creators actually use;
- Experience working alongside product teams rather than downstream from them.
THE DEAL
- Competitive salary in USD, reviewed as you grow;
- On-site role in our Almaty office;
- Access to Higgsfield products and the AI tools we use internally;
- Breakfast, lunch and good coffee on us;
- Full-time position with high ownership and growth potential.
Location: London, United Kingdom
Workplace: none
About InvestEngine
We’re a ~200-person, AI-first fintech. We move fast, we expect people to own things end to end, and we don’t have a lot of specialist support infrastructure to hide behind — if you spot a gap, you’re expected to close it, not escalate it and wait.
About the role
We’re hiring our
first dedicated Analytics Engineer
at InvestEngine. This is a foundational hire: you’ll sit at the intersection of data engineering, analytics engineering, and business partnership — turning raw, disparate data into governed, trustworthy models that the rest of the company makes decisions on.
You won’t just write dbt models in isolation. You’ll work directly with stakeholders across the business — Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster, and how we structure our data so that AI tooling can be trusted to answer questions about it.
We’re actively modernising our data stack, and we want the person in this role to shape it.
Some of it is in place, some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them.
Who thrives here
We’ve pitched this at
mid to senior level
, but the honest position is that the level matters less than the appetite. The ultimate test is
hunger, and the desire to shape this space and have real impact
. If you’re technically strong but hungrier than your years of experience suggest, apply anyway — we’d rather have someone who wants to own this than someone who has simply done it before somewhere bigger.
Beyond that, this role suits someone who:
Operates well with ambiguity and limited structure.
You’ll be the first analytics engineer here — no existing playbook, no dedicated data engineering team to lean on, no established BI function to slot into. You’ll be building a lot of it as you go.
Wants a small, fast company on purpose
— not just escaping bureaucracy elsewhere, but genuinely drawn to the trade-off: more ownership and visibility, less process and hand-holding.
Lives in the tools, not in email chains.
You default to GitHub, dbt, Slack/Notion, and automation over status meetings and Word docs.
Can point to things they’ve actually built and shipped
, not just designs or concepts they contributed to.
Already uses AI to do the job better
— Claude, Copilot, or similar — and is curious about where it can go further.
Learns fast.
We care more about how quickly you close a knowledge gap than how complete your CV looks today.
Works well directly with Product, Marketing, Operations, and Engineering
, not just with other analysts — this role sits right at that boundary.
Our values
Everyone at InvestEngine is expected to live these, and this role will be assessed against all five:
Act like an owner
— you take responsibility for outcomes, not just tasks
Keep improving. Stay curious.
— you push your own standards and the team’s, and you’re genuinely curious about better ways to work
Achieve more together
— you make the people around you (business stakeholders included) more effective, not just yourself
Speak up. Share openly.
— you flag risks, disagreements, and better ideas rather than sitting on them
Put customers first. Create real value.
— you build things because they solve a real problem, not because they’re interesting to build
What you’ll do
Analytics engineering & the semantic layer
Design, build, and maintain
dbt Core
models that transform raw data into clean, well-tested, well-documented datasets
Own and evolve our semantic layer — consistent metric definitions, business logic, and naming that the whole company can trust and query against
Establish and enforce data modelling standards, testing practices, and documentation as the function scales
Evaluate and help roll out modern BI tooling — experience with
Lightdash, Omni, Looker, or Metabase
all translates well — to make metrics genuinely self-serve for non-technical stakeholders
Building the AI context layer
Structure our models, metric definitions, documentation, and lineage so they’re
machine-readable, not just human-readable
— because our semantic layer is what AI tooling reasons over
Make AI-driven analytics reliable: if two people (or two agents) ask the same business question, they should get the same answer, because the definition lives in one governed place
Treat naming, documentation, and metric definitions as first-class engineering deliverables rather than afterthoughts, since they directly determine how trustworthy our AI-enabled BI is
Use
Claude
to accelerate development — model scaffolding, code review, documentation, QA, and pipeline debugging — and
Notion AI
to keep documentation and runbooks current and genuinely useful
Bring a point of view on where AI can responsibly speed up analytics engineering, and help the wider team adopt it well
Data engineering & the platform
Build and maintain ingestion and transformation pipelines across our stack. We use a modern data stack, such as AWS, Redshift, and Airflow
Write production-quality Python for extraction, transformation, and automation tasks that fall outside dbt’s remit
Help us modernise: we’re actively evolving this stack and expect you to challenge and improve it, not just operate it
Warehouse cost & performance
Own the performance and cost profile of our Redshift warehouse — you should be able to read a query plan, choose sensible sort and distribution keys, and design incremental models without being asked
Spot and act on opportunities to reduce complexity and cost across our models and pipelines, rather than letting spend and technical debt accumulate quietly
Make deliberate trade-offs between freshness, cost, and complexity — and explain those trade-offs to the business in terms they care about
Data quality & observability
Champion analytics engineering best practice across the company: testing, version control, code review, CI, and documentation applied to data the same way engineering applies them to software
Build and own data quality, freshness, and pipeline monitoring so problems are caught by us before they’re caught by a stakeholder looking at a dashboard
Set the standard for what “trustworthy data” means here, and hold the line on it as the volume of models and requests grows
Upstream influence
Work with our engineering teams to make sure application and event design accommodates reporting and analytics requirements
before
data reaches the warehouse — good analytics starts at the source, not in the transformation layer
Influence payload and schema design for new services and product features, so we’re not permanently reverse-engineering business meaning out of operational tables
Support analysts and business users with automation, tooling, and data engineering expertise, and provide training and guidance on how to use our data well
Business partnership
Work directly with stakeholders to understand their problems, not just their requested outputs — translate ambiguous business questions into pipeline and modelling requirements
Act as a trusted advisor on what’s possible with our data, and push back constructively when a request doesn’t solve the underlying problem
Support financial, operational, and regulatory reporting needs appropriate to a regulated investment platform
Governance
Apply our data classification and access model when onboarding sources: identify PII (including in free-text fields), decide what belongs in the sanitised analytics layer versus a restricted dataset, and document the outcome
Implement least-privilege access across datasets, reports, and dashboards
What we’re looking for
Must-haves
Hands-on production experience with
dbt
(we run dbt Core) — this is a hard requirement
Strong SQL expertise
Solid
Python
for data engineering and automation
Working knowledge of
AWS
data services
Experience with
GitHub
and
GitHub Actions
(or equivalent CI/CD tooling) for testing and deploying data code
Experience with a modern BI tool (e.g., Lightdash, Omni, Looker, or Metabase), and a genuine interest in semantic layers (e.g., MetricFlow, Cube Core) and self-serve analytics
Comfortable using AI tools as part of your day-to-day engineering workflow
Strong communication — you can sit with a non-technical stakeholder, understand their real problem, and explain trade-offs in plain language
Ownership: you’re comfortable being the first and only person in this role, and building things properly from scratch
Nice-to-haves
Airflow
or similar orchestration tools, and familiarity with data ingestion tools such as dlt or Airbyte
Warehouse cost and performance tuning, particularly on Redshift
Fintech, investment management, or another regulated industry
Handling PII responsibly in an analytics environment — sanitised vs. restricted datasets, role-based access tiers, automated PII detection
Experience with Notion AI or Asana automations
Day-to-day working style
We favour clear thinking and simple, well-tested solutions over cleverness
We expect you to engage directly with the business, not hide behind tickets — understanding the “why” behind a request is part of the job
We’re genuinely trying to use AI to work faster and better, not as a buzzword — we want people who’ll experiment, share what works, and level up the team
As the first analytics engineer, you’ll define what “good” looks like here: process, standards, and tooling included
We believe data should be
as accessible as it can safely be, and as restricted as it needs to be
— good judgement applied consistently, not blanket lockdown
Practical details
Reports to:
Chief Data Officer
Team:
Data & Analytics
Level:
Mid to Senior
Location / working pattern:
London / hybrid
Location: Dublin, IE
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 one of the founding Startup Account Executives in EMEA, you’ll pioneer the adoption of safe, frontier AI across the region by securing strategic deals with some of the fastest growing technology companies in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll build Anthropic's presence across EMEA's dynamic startup ecosystem, continuously refining our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.
The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. As an early member of our EMEA sales team, you'll help establish Anthropic's commercial foundation in the region while advancing the ethical development of AI technology.
Responsibilities:
Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch
Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns
Spearhead market expansion by pinpointing new customer segments and use cases, collaborating cross-functionally to differentiate our offerings and sustain a competitive edge
Inform product roadmaps and features by gathering customer feedback and conveying market needs, providing insights that strengthen our value proposition and enhance the customer experience
Help define our regional GTM operations and sales methodologies by incorporating learnings into playbooks, templates, and best practices
You may be a good fit if you have:
5+ years of technical sales experience with a proven track record of driving adoption of emerging technologies with a consultative, solutions-oriented sales approach, preferably across EMEA markets
Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions
Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed
Exposure to negotiating complex, customized commercial agreements with multiple stakeholders
Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment
Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities
Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly
A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
€155.000
—
€205.000 EUR
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.
X-FLOW is a mobile game development studio known for casual titles like Happy Color, featuring coloring and puzzle mechanics.
Work format: Remote or on-site.
X-FLOW is a mobile game development studio known for casual titles like Happy Color, featuring coloring and puzzle mechanics.
Work format: Remote or on-site.
Location: Almaty, Kazakhstan
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
About this role:
At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand.
You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production.
If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you.
Our Engineering Culture
We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:
- Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys."
- Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping.
- Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids.
- Prioritization: We focus relentlessly on what is important, not just what is urgent.
What you’ll do:
- Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower).
- Participate in the full development life cycle, including design, implementation, quality polish, and release.
- Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization.
- Create and optimize complex database queries for data analysis and modification.
- Perform code reviews, and suggest improvements to tools and processes.
Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes.
What we are looking for:
- +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration).
- Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries.
- Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability.
- Ability to see the product through the user’s eyes and a passion for product excellence.
- Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding.
- Experience with CI/CD, docker, k8s as a plus.
- Ability to pass technical interview both in Russian & English.
- Hands-on, thoughtful use of AI tools in development.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Yerevan, Armenia
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
About this role:
At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand.
You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production.
If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you.
Our Engineering Culture
We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:
- Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys."
- Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping.
- Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids.
- Prioritization: We focus relentlessly on what is important, not just what is urgent.
What you’ll do:
- Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower).
- Participate in the full development life cycle, including design, implementation, quality polish, and release.
- Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization.
- Create and optimize complex database queries for data analysis and modification.
- Perform code reviews, and suggest improvements to tools and processes.
Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes.
What we are looking for:
- +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration).
- Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries.
- Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability.
- Ability to see the product through the user’s eyes and a passion for product excellence.
- Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding.
- Experience with CI/CD, docker, k8s as a plus.
- Ability to pass technical interview both in Russian & English.
- Hands-on, thoughtful use of AI tools in development.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location: Dubai
About the Role
We are seeking a highly accomplished and strategic Account Executive
to join our Sales team in Dubai. In this advanced role, you will be pivotal in driving significant growth by leading comprehensive sales cycles within a portfolio of assigned enterprise-level clients, and strategically acquiring new logos. The ideal candidate possesses a deep blend of advanced sales acumen and sophisticated technical understanding, enabling them to lead engagements at all levels, from the C-suite to technical leaders (e.g., Head of/VP of Networking or Security).
As an Account Executive, you will consistently demonstrate advanced proficiency in all sales activities, ensuring highly accurate forecasting, proactive and strategic pipeline management, and consistently exceeding attainment targets. You will be a subject matter expert, speaking fluently about Cloudflare's products, features, benefits, and use cases across diverse customer segments. This role demands the ability to deeply understand complex customer IT Architectures, match them with relevant Cloudflare Reference Architectures, and orchestrate successful, large-scale platform sales. You will be a key driver of digital transformation for our customers, understanding their broader market trends and how Cloudflare uniquely enables their strategic initiatives.
Regional Focus: South Africa - Gauteng and Western Cape
What You'll Do
Strategic Revenue Generation:
Architect and execute advanced territory and account plans to consistently exceed multi-million dollar sales targets and annual quotas, with a strong focus on new business acquisition and expansion within complex enterprise environments.
Expert Pipeline & Forecasting:
Lead proactive and strategic pipeline management efforts, demonstrating a sophisticated understanding of sales cycles and customer buying processes. Deliver highly accurate forecasts, providing clear insights and strategic guidance to sales leadership.
Deep Customer & IT Architecture Understanding:
Develop a profound understanding of customers' IT architectures, including applications and third-party technologies. Architect and align Cloudflare Reference Architectures to customer environments, driving comprehensive platform solutions.
Multi-Engagement Leadership:
Orchestrate and manage multiple complex customer engagements simultaneously across various business units within an organization. Strategically connect disparate needs to strengthen Cloudflare's platform sale, actively involving and influencing technical C-level minus one executives.
Virtual Team Leadership:
Set clear direction and lead a virtual team of in-GEO specialists, Product Managers, Deal Desk, and Legal to collaboratively manage and close complex customer opportunities. Proactively identify and navigate through situations to address colleague and customer needs, escalating as appropriate to drive urgency and efficient delivery.
Digital Transformation Authority:
Act as an authority on digital transformation, understanding key drivers (e.g., new offering development, enhanced customer capabilities) and the broader market trends influencing these decisions. Position Cloudflare as a critical enabler of these transformations.
Compelling Value Creation:
Articulate highly compelling, strategic value propositions for Cloudflare's services, directly linking them to customer business outcomes and strategic objectives. Lead with a strong focus on the "why," communicating the whole picture to both internal and external stakeholders.
Advanced Negotiation & Closure:
Expertly lead and navigate complex contract negotiations, driving win-win scenarios for all parties. Demonstrate advanced closing skills across new business and expansion opportunities.
Trusted Advisor & Coach:
Build long-term, executive-level strategic relationships, ensuring deep customer adoption, retention, and expansion. Consistently provide clear, direct, and constructive feedback to team members, coaching them to improve communication, learn from mistakes, and enhance the quality of work. Share learnings proactively to build trust across the organization.
Organizational Impact & Leadership:
Consistently focus on the long-term needs of the team and the business, understanding how decisions impact other teams and openly sharing these insights. Leverage company-wide learnings to improve department and team execution. Serve as a leader within Cloudflare, making significant contributions while elevating the work of others by bringing diverse perspectives and strategic long-term thinking.
Examples of Desirable Skills, Knowledge, and Experience
8+ years of advanced experience selling complex technology solutions into enterprise accounts across South Africa, particularly Gauteng and the Western Cape
, with a significant track record of consistently exceeding multi-million dollar quota targets.
Deep expertise and fluency in Cloud Networking, Security, and Edge Computing technologies
, with an exceptional ability to articulate features, benefits, and use cases across diverse customer segments (e.g., SMBs, enterprise, vertical markets).
Proven ability to deeply understand complex customer IT architectures
and effectively map them to Cloudflare Reference Architectures for successful platform sales.
Demonstrated success leading and influencing virtual cross-functional teams
(e.g., Solution Engineers, Product Managers, Legal) to drive complex deals to closure.
Exceptional strategic communication and presentation skills
, with a focus on articulating the "why" and conveying the whole picture to executive leadership and technical decision-makers (C-level minus one).
Advanced negotiation skills
with a track record of closing large, complex, six-figure and multi-million dollar deals.
Expert-level sales acumen:
unparalleled proficiency in discovery, positioning, competitive selling, negotiation, closing, and expansion strategies within enterprise accounts.
Authority on digital transformation trends
and their impact on enterprise customers, with the ability to position Cloudflare as a key enabler of strategic business outcomes.
Strong coaching and mentorship abilities
, with a passion for helping colleagues grow and improve.
Highly self-motivated, entrepreneurial, and resilient
, thriving in a fast-paced, high-growth environment with a consistent focus on long-term goals.
Proficiency in advanced sales and business intelligence platforms
(e.g., Salesforce, Tableau, G-suite, MSFT suite, MEDDPICC framework application).
Bachelor's degree required
, with a technical background (e.g., engineering, computer science, MIS) highly preferred.
Ability to travel
as required to engage with key customers and internal teams.
Language Skills: English
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Workplace: hybrid
About the Client
Our client is a B2B iGaming platform provider, specializing in turnkey and white-label solutions for online casino and sportsbook operators. They offer services such as player account management, game aggregation, payment processing, and affiliate management. With a focus on rapid market entry and scalability, they serve a diverse clientele in the iGaming sector.
Role Overview
As a Senior Product Manager, you will define and execute the long-term vision and strategy for our proprietary PAM platform. This role offers the chance to lead a team in developing a leading B2B solution for regulated markets. You will work with cross-functional teams to deliver high-quality product features and drive product innovation based on customer feedback and market trends.
Key Responsibilities
Define the long-term vision and strategy for our proprietary PAM platform and decide where the product should evolve.
Lead the platform's development to make it a leading B2B solution for regulated markets.
Manage, mentor, and grow a team of Product Managers.
Own the product roadmap and prioritize features and product investments.
Work closely with the Engineering team to deliver scalable, flexible, and high-quality product features.
Gather customer feedback, monitor market trends and competitors, and use these insights to improve the product.
Track product performance using KPIs and data to measure adoption, customer satisfaction, and business impact.
Collaborate with Commercial, Customer Success, Compliance, and Operations teams to ensure the product meets customer and business needs.
Requirements
5+ years of experience in Product Management, including experience in iGaming.
2+ years of experience in a leadership role within Product Management (Head of Product, Group Product Manager, or equivalent).
Proven experience in managing and developing product teams, including Product Managers.
Hands-on experience with PAM (Player Account Management) platforms or other complex iGaming core platforms.
Strong understanding of key PAM domains: Wallet, Payments, CRM, Bonus Engine, KYC, Risk & Fraud, Responsible Gaming, and Back Office.
Experience working with regulated iGaming markets, preferably Tier-1.
Strong expertise in developing product strategy, vision, and roadmaps for scalable platforms.
Languages: English, Russian.
Key Soft Skills
Excellent communication and collaboration skills across cross-functional teams.
Strong strategic thinking, ownership, and decision-making.
Adaptability to a fast-paced and evolving iGaming environment.
What We Offer
Competitive salary aligned with experience.
Collaborative and transparent team culture.
High-impact role in a scaling fintech company.
Recognition of personal milestones and achievements.
Social benefits.
Location: Tbilisi, Georgia
Workplace: hybrid
About the Client
Our client is a B2B iGaming platform provider, specializing in turnkey and white-label solutions for online casino and sportsbook operators. They offer services such as player account management, game aggregation, payment processing, and affiliate management. With a focus on rapid market entry and scalability, they serve a diverse clientele in the iGaming sector.
Role Overview
As a Senior Product Manager, you will define and execute the long-term vision and strategy for our proprietary PAM platform. This role offers the chance to lead a team in developing a leading B2B solution for regulated markets. You will work with cross-functional teams to deliver high-quality product features and drive product innovation based on customer feedback and market trends.
Key Responsibilities
Define the long-term vision and strategy for our proprietary PAM platform and decide where the product should evolve.
Lead the platform's development to make it a leading B2B solution for regulated markets.
Manage, mentor, and grow a team of Product Managers.
Own the product roadmap and prioritize features and product investments.
Work closely with the Engineering team to deliver scalable, flexible, and high-quality product features.
Gather customer feedback, monitor market trends and competitors, and use these insights to improve the product.
Track product performance using KPIs and data to measure adoption, customer satisfaction, and business impact.
Collaborate with Commercial, Customer Success, Compliance, and Operations teams to ensure the product meets customer and business needs.
Requirements
5+ years of experience in Product Management, including experience in iGaming.
2+ years of experience in a leadership role within Product Management (Head of Product, Group Product Manager, or equivalent).
Proven experience in managing and developing product teams, including Product Managers.
Hands-on experience with PAM (Player Account Management) platforms or other complex iGaming core platforms.
Strong understanding of key PAM domains: Wallet, Payments, CRM, Bonus Engine, KYC, Risk & Fraud, Responsible Gaming, and Back Office.
Experience working with regulated iGaming markets, preferably Tier-1.
Strong expertise in developing product strategy, vision, and roadmaps for scalable platforms.
Languages: English, Russian.
Key Soft Skills
Excellent communication and collaboration skills across cross-functional teams.
Strong strategic thinking, ownership, and decision-making.
Adaptability to a fast-paced and evolving iGaming environment.
What We Offer
Competitive salary aligned with experience.
Collaborative and transparent team culture.
High-impact role in a scaling fintech company.
Recognition of personal milestones and achievements.
Social benefits.
Location: Cyprus
Workplace: hybrid
About the Client
Our client is a B2B iGaming platform provider, specializing in turnkey and white-label solutions for online casino and sportsbook operators. They offer services such as player account management, game aggregation, payment processing, and affiliate management. With a focus on rapid market entry and scalability, they serve a diverse clientele in the iGaming sector.
Role Overview
As a Senior Product Manager, you will define and execute the long-term vision and strategy for our proprietary PAM platform. This role offers the chance to lead a team in developing a leading B2B solution for regulated markets. You will work with cross-functional teams to deliver high-quality product features and drive product innovation based on customer feedback and market trends.
Key Responsibilities
Define the long-term vision and strategy for our proprietary PAM platform and decide where the product should evolve.
Lead the platform's development to make it a leading B2B solution for regulated markets.
Manage, mentor, and grow a team of Product Managers.
Own the product roadmap and prioritize features and product investments.
Work closely with the Engineering team to deliver scalable, flexible, and high-quality product features.
Gather customer feedback, monitor market trends and competitors, and use these insights to improve the product.
Track product performance using KPIs and data to measure adoption, customer satisfaction, and business impact.
Collaborate with Commercial, Customer Success, Compliance, and Operations teams to ensure the product meets customer and business needs.
Requirements
5+ years of experience in Product Management, including experience in iGaming.
2+ years of experience in a leadership role within Product Management (Head of Product, Group Product Manager, or equivalent).
Proven experience in managing and developing product teams, including Product Managers.
Hands-on experience with PAM (Player Account Management) platforms or other complex iGaming core platforms.
Strong understanding of key PAM domains: Wallet, Payments, CRM, Bonus Engine, KYC, Risk & Fraud, Responsible Gaming, and Back Office.
Experience working with regulated iGaming markets, preferably Tier-1.
Strong expertise in developing product strategy, vision, and roadmaps for scalable platforms.
Languages: English, Russian.
Key Soft Skills
Excellent communication and collaboration skills across cross-functional teams.
Strong strategic thinking, ownership, and decision-making.
Adaptability to a fast-paced and evolving iGaming environment.
What We Offer
Competitive salary aligned with experience.
Collaborative and transparent team culture.
High-impact role in a scaling fintech company.
Recognition of personal milestones and achievements.
Social benefits.
Location: London, United Kingdom
Workplace: hybrid
About the Client
Our client is a B2B iGaming platform provider, specializing in turnkey and white-label solutions for online casino and sportsbook operators. They offer services such as player account management, game aggregation, payment processing, and affiliate management. With a focus on rapid market entry and scalability, they serve a diverse clientele in the iGaming sector.
Role Overview
As a Senior Product Manager, you will define and execute the long-term vision and strategy for our proprietary PAM platform. This role offers the chance to lead a team in developing a leading B2B solution for regulated markets. You will work with cross-functional teams to deliver high-quality product features and drive product innovation based on customer feedback and market trends.
Key Responsibilities
Define the long-term vision and strategy for our proprietary PAM platform and decide where the product should evolve.
Lead the platform's development to make it a leading B2B solution for regulated markets.
Manage, mentor, and grow a team of Product Managers.
Own the product roadmap and prioritize features and product investments.
Work closely with the Engineering team to deliver scalable, flexible, and high-quality product features.
Gather customer feedback, monitor market trends and competitors, and use these insights to improve the product.
Track product performance using KPIs and data to measure adoption, customer satisfaction, and business impact.
Collaborate with Commercial, Customer Success, Compliance, and Operations teams to ensure the product meets customer and business needs.
Requirements
5+ years of experience in Product Management, including experience in iGaming.
2+ years of experience in a leadership role within Product Management (Head of Product, Group Product Manager, or equivalent).
Proven experience in managing and developing product teams, including Product Managers.
Hands-on experience with PAM (Player Account Management) platforms or other complex iGaming core platforms.
Strong understanding of key PAM domains: Wallet, Payments, CRM, Bonus Engine, KYC, Risk & Fraud, Responsible Gaming, and Back Office.
Experience working with regulated iGaming markets, preferably Tier-1.
Strong expertise in developing product strategy, vision, and roadmaps for scalable platforms.
Languages: English, Russian.
Key Soft Skills
Excellent communication and collaboration skills across cross-functional teams.
Strong strategic thinking, ownership, and decision-making.
Adaptability to a fast-paced and evolving iGaming environment.
What We Offer
Competitive salary aligned with experience.
Collaborative and transparent team culture.
High-impact role in a scaling fintech company.
Recognition of personal milestones and achievements.
Social benefits.
УдалённоTime zone flexibility: our members are global and markets do not close, so some evening and weekend availability is part of the job; We strongly encourage candidates of all backgrounds to apply
ОфисAlmaty, Kazakhstan; Relocation support to Almaty for candidates moving from another city or country
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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