Вакансии

• Проектирование и развитие аналитического хранилища данных (DWH). • Разработка моделей данных (fact / dimension, агрегаты).

Открыта позиция веб-аналитика для настройки сквозной веб- и мобильной аналитики и работы с воронкой продаж на сайте и в приложении. - Настройка веб- и мобильной аналитики (Google Analytics 4, Amplitude, Firebase);

Location: London, UK We are looking for a Senior Python Engineer who writes production code every day. You will build new components and refactor business-built tools into well-engineered applications. You will work directly with portfolio managers to understand how the tools are used and what must not break. This is a 100% hands-on role, not an advisory or architectural role. This is a hybrid position requiring onsite presence at the client’s London office three days per week. Duration: 12+ months Design, develop, and maintain production-grade Python applications and APIs. Refactor and modernize Python/Excel tools built by business teams by adding tests, structure, security, and observability. Work directly with portfolio managers and front-office users to clarify requirements and validate results. Build data-intensive and analytics features using SQL and cloud data platforms. Contribute to CI/CD, automated testing, and code reviews. Apply AI-assisted development practices where they improve speed and quality. 5+ years of hands-on experience in production Python development. Python is the main language in your current role. ETF or investment front-office experience (asset management, investment banking, or capital markets). At a minimum, you have worked directly with portfolio managers or traders. Experience modernizing legacy or business-built applications. Strong SQL skills and experience with cloud platforms (AWS preferred). Experience with API design and integration, automated testing, CI/CD, and Git. Ability to gather requirements directly from business users and communicate clearly with non-technical stakeholders. Ability and willingness to work on-site at the client’s London office three days per week. Experience with fixed-income ETFs, portfolio management, or investment analytics. Experience with Aladdin, BNY, or comparable investment platforms. Experience with Snowflake, Redshift, Databricks, or BigQuery. Experience with AI-enabled development, agentic workflows, or AI-assisted SDLC.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Infrastructure Engineering team enables Reddit to deliver Reliability, Performance, and Efficiency, with a single opinionated technology stack. We empower Reddit developers by delivering a reliable, scalable, and automated foundation - unifying compute, seamless deployments, robust storage, and high-performance messaging to maximize developer velocity and system resilience. This centralized role hires across several high-impact teams, including: Messaging: Delivers a reliable, performant, and efficient platform to support asynchronous communication across all products and services at Reddit. Site Defense: Builds platforms that detect and mitigate bots, scraping, and abusive traffic while preserving a reliable experience for legitimate users across Reddit. Infrastructure Security: Builds platforms for service identity, secrets management, and secure access that make Reddit’s infrastructure secure by default. What You’ll Do Cross-Functional Product Architecture: Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions. End-to-End Delivery: Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability. Metrics & Experimentation-Led Engineering: Design, build, and evaluate A/B experiments. Work with tools like BigQuery, HEX, or Firebase to analyze user behavior, conversion funnels, and retention loops to make data-backed engineering decisions. API & System Performance: Build and maintain scalable APIs (GraphQL, REST, gRPC) and distributed backend services optimized for client consumption and consumer UI performance. Technical Rigor & Modern Tooling: Establish engineering best practices, improve developer workflows, mentor teammates, and use modern, AI-integrated tools to ship high-quality products efficiently. In your day-to-day, you will: Steer: Work with the team to select, scope, and drive high leverage projects that align with Reddit’s goals. Build: Execute on a strategy and create a more performant, more scalable, higher quality architecture around authentication, authorization and identity. Amplify: Mentor, coach, and collaborate with other technical contributors Collaborate: Work together with a variety of cross functional teams across Reddit Engineering. Evolve: Learn and improve your own technical and non-technical abilities Who you might be: 3+ years of experience building internet-scale software, preferably with a focus on distributed systems infrastructure or infrastructure security. Software development experience in one or more general purpose programming languages; Golang, Python, C++, Java Experience with essential cloud infrastructure (Kubernetes, CI/CD, AWS, GCP) Hands-on experience implementing features, optimizations, and bug fixes to distributed messaging systems. Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product. Degree in Computer Science or equivalent technical field. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $164,000 — $229,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Dallas; Austin; Houston Workplace: Remote THE ROLE As an Enterprise Solutions Architect at ClickHouse, you'll own the technical side of the sales cycle for enterprise accounts in Texas. This role serves our Enterprise segment in Texas, and the ideal candidate would be based in Austin or Dallas. You'll engage with data platform engineers, architects, SRE, and the VP who owns the standard - and your job is to design something that satisfies all of them and then prove it at production scale. Getting an enterprise team there usually means moving them off something else, so most of your work is making that migration credible: the architecture, benchmarks run against their own data, and a plan their engineers believe they can execute. This is a role for engineers who want the hard version of the problem: real scale, real constraints, and an incumbent to displace. Prior pre-sales experience helps but isn't required - technical depth is non-negotiable. WHAT YOU WILL BE DOING - Own the technical evaluation for enterprise accounts - from discovery through POC or competitive bake-off, architecture sign-off, security review, and first production workload. - Engage across a wider set of stakeholders than a single team: data platform engineers, architects, SRE, security, and the executive who owns the standard. Design solutions that hold up with all of them in the room. - Design for production scale - sizing, sharding and replication strategy, ingestion topology, tiered storage, cost modeling, and what happens when something fails at 3am. - Win competitive displacements against Elasticsearch, Splunk, Snowflake, BigQuery, Druid, Pinot, and homegrown systems, using benchmarks the customer's own team can reproduce. - Own the migration plan - sequencing, dual-run, validation, and cutover - so the customer's team can see exactly how they get to production. - Clear the security and procurement path: questionnaires, compliance artifacts, network and identity architecture, and BYOC or private deployment requirements. - Partner closely with Enterprise AEs to progress and close opportunities - you own the technical win, they own the commercial close. Build the TCO case against the incumbent/competition together. - Advocate for customer needs internally with Product and Engineering - you're the voice of the technical buyer inside ClickHouse. - Contribute reference architectures, benchmark harnesses, migration guides, and objection handling material that help the team scale what's working. WHAT YOU BRING - Deep technical foundation in data infrastructure - built through experience as a data engineer, platform engineer, software engineer, DBA, or solutions architect. - Production experience with analytical databases (ClickHouse, Snowflake, BigQuery, Redshift, Druid, Pinot, Vertica) and with operating them, not just querying them. - Distributed systems judgment: partitioning, replication, consistency trade-offs, query execution, and a felt sense for where things break under load. - Fluency across the modern data stack - Kafka and CDC pipelines, orchestration, object storage, BI tools, and at least one major cloud (AWS, GCP, Azure) at architecture level. - Experience running a technical evaluation against a named competitor and winning it, including designing the migration off the incumbent and the parts of it that are genuinely hard. - Customer-facing experience with real stakes - pre-sales, consulting, technical account management, or a staff-level engineering role that put you in front of customers. - Strong written and verbal communication. You can whiteboard with a staff engineer in the morning and present to a VP of Engineering in the afternoon. - Comfort with longer cycles and more stakeholders. Enterprise evaluations don't close in three weeks, and you know how to keep one moving without letting it stall. - Willingness to say ClickHouse isn't the right tool for a given workload when that's true. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: We’re hiring a Sr. Growth Operations Manager to own the systems, data, and workflows behind Chainguard’s go-to-market engine. You’ll lead our most important operations initiatives end to end, architect the martech stack, and set the standards the rest of the team builds to. This is a hands-on lead role. You scope the work, bring options with trade-offs, and align stakeholders. Then you build it yourself with coding agents instead of waiting on a backlog. You’ll partner closely with Growth, ABM, Campaigns, BDR, Sales, RevOps, and Data, and help level up the team around you. WHAT YOU’LL DO Architect the stack. Design how HubSpot, Salesforce, Clay, Hightouch, and BigQuery fit together: the data model, integration patterns, and governance others build within. Set naming, documentation, and monitoring standards, build workflows that flag their own breakage, and review others’ work against them. Design orchestration, not one-off programs. Partner with Growth, ABM, and BDR to build reusable plays, lead lifecycle and routing, and automated hand-offs that move accounts and buyers through the funnel. Own the data architecture. Design scoring, intent, and enrichment systems and the account and contact model, partnering with Data on predictive models. Make the CRM trustworthy by design, not by cleanup. Set the AI standard. Build agents and LLM-driven workflows for research, enrichment, and orchestration. Evaluate new tools and set how the team adopts them. Build measurement that changes decisions. Partner with RevOps and Data on predictive measurement, attribution, and reporting in Omni and BigQuery. Spot business risks early and get them to the right stakeholders. WHAT YOU’LL BRING 6+ years of marketing operations experience at a B2B SaaS, security, or infrastructure company, including leading cross-functional initiatives and mentoring others in a fast-paced, high-growth environment. Architect-level expertise in HubSpot, Salesforce, and routing tools like LeanData (or equivalents), with deep specialization in one or two areas of the stack. Advanced SQL and data modeling in a warehouse like BigQuery, plus production-quality Python or JavaScript against REST APIs. Experience designing scoring, intent, and enrichment systems, and enough understanding of how predictive models are trained and evaluated to partner with Data. An AI builder’s mindset: you build agents and automations with tools like Claude Code, Cursor, and Clay, and you’d rather prototype a fix than file a ticket. NICE TO HAVE Experience supporting product-led or developer-focused motions alongside enterprise sales. Experience with dbt or a similar transformation layer, or building internal tools that go beyond connecting existing platforms. Experience building ABM infrastructure, including intent data and account-level reporting. We know not everyone will check every box on day one. If this role excites you and you’ve done most of this, we’d like to hear from you. Base Salary Range $140,000 — $167,500 USD About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Chicago; Minneapolis Workplace: Remote THE ROLE As an Enterprise Solutions Architect at ClickHouse, you'll own the technical side of the sales cycle for enterprise accounts in the North Central United States. This role serves our Enterprise segment across the North Central region, and the ideal candidate would be based in Minneapolis or Chicago. You'll engage with data platform engineers, architects, SRE, and the VP who owns the standard - and your job is to design something that satisfies all of them and then prove it at production scale. Getting an enterprise team there usually means moving them off something else, so most of your work is making that migration credible: the architecture, benchmarks run against their own data, and a plan their engineers believe they can execute. This is a role for engineers who want the hard version of the problem: real scale, real constraints, and an incumbent to displace. Prior pre-sales experience helps but isn't required - technical depth is non-negotiable. WHAT YOU WILL BE DOING - Own the technical evaluation for enterprise accounts - from discovery through POC or competitive bake-off, architecture sign-off, security review, and first production workload. - Engage across a wider set of stakeholders than a single team: data platform engineers, architects, SRE, security, and the executive who owns the standard. Design solutions that hold up with all of them in the room. - Design for production scale - sizing, sharding and replication strategy, ingestion topology, tiered storage, cost modeling, and what happens when something fails at 3am. - Win competitive displacements against Elasticsearch, Splunk, Snowflake, BigQuery, Druid, Pinot, and homegrown systems, using benchmarks the customer's own team can reproduce. - Own the migration plan - sequencing, dual-run, validation, and cutover - so the customer's team can see exactly how they get to production. - Clear the security and procurement path: questionnaires, compliance artifacts, network and identity architecture, and BYOC or private deployment requirements. - Partner closely with Enterprise AEs to progress and close opportunities - you own the technical win, they own the commercial close. Build the TCO case against the incumbent/competition together. - Advocate for customer needs internally with Product and Engineering - you're the voice of the technical buyer inside ClickHouse. - Contribute reference architectures, benchmark harnesses, migration guides, and objection handling material that help the team scale what's working. WHAT YOU BRING - Deep technical foundation in data infrastructure - built through experience as a data engineer, platform engineer, software engineer, DBA, or solutions architect. - Production experience with analytical databases (ClickHouse, Snowflake, BigQuery, Redshift, Druid, Pinot, Vertica) and with operating them, not just querying them. - Distributed systems judgment: partitioning, replication, consistency trade-offs, query execution, and a felt sense for where things break under load. - Fluency across the modern data stack - Kafka and CDC pipelines, orchestration, object storage, BI tools, and at least one major cloud (AWS, GCP, Azure) at architecture level. - Experience running a technical evaluation against a named competitor and winning it, including designing the migration off the incumbent and the parts of it that are genuinely hard. - Customer-facing experience with real stakes - pre-sales, consulting, technical account management, or a staff-level engineering role that put you in front of customers. - Strong written and verbal communication. You can whiteboard with a staff engineer in the morning and present to a VP of Engineering in the afternoon. - Comfort with longer cycles and more stakeholders. Enterprise evaluations don't close in three weeks, and you know how to keep one moving without letting it stall. - Willingness to say ClickHouse isn't the right tool for a given workload when that's true. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: EMEA Workplace: Remote ClickHouse is the open-source, real-time analytical database behind a lot of today's AI. More than 4,000 companies build on ClickHouse, including Anthropic, OpenAI, Tesla and Meta. As a Consulting Engineer, you're the hands-on engineer on our customers' most important projects. When a customer needs to migrate, integrate, or prove ClickHouse on a real workload, you work in the build alongside their engineers: you design it, build it, test it and hand it over. You'll work on a broad mix of projects for customers across EMEA, from moving large workloads off other databases to building new real-time analytics on ClickHouse. Each one is scoped with clear goals from the start, so you know what success looks like and can get stuck in. It's a fast way to build deep experience across lots of different data problems. The consulting function at ClickHouse is less than a year old, so you'll help shape how ClickHouse delivers this work as the team grows. Between projects you take cases alongside support engineers, which keeps you close to day-to-day support. WHAT YOU'LL DO - Turn customer goals into a scoped project with measurable success criteria, sizing and a timeline - Design a target architecture and prove it against the customer's own data: schema and engine design, capacity and sizing, proofs of concept - Do the build: implementation, pipelines and integrations, migration execution, tooling and automation - Measure it before it matters, with benchmarking, load and functional testing, then support the cutover - Tune what production reveals, then hand over with an engagement report and knowledge transfer, so the customer's team can run it without you - Take L1 to L3 cases alongside support engineers when you're between projects - Feed what you see in the field back to Product and Engineering, and turn your work into reference architectures, knowledge base articles and blog posts - Work in a constant feedback loop with the Pre-sales team to ensure that the demos and POCs they present are credible when you put them into production WHAT YOU'LL BRING - 5+ years delivering hands-on technical work for customers, whether your title was consultant, professional services, solutions architect, senior support, SRE or something else - Real depth in databases, whether analytical, transactional or relational - Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself - You've owned implementations, migrations or POCs for external customers from start to finish - Hands-on cloud experience (AWS, GCP and/or Azure) - You've deployed and run workloads on Kubernetes yourself - You've run distributed systems, such as distributed databases, in production - You give precise technical answers and explain them clearly - Fluent English NICE TO HAVE - Experience with ClickHouse - Hands-on Splunk experience - Migrating analytical workloads from systems such as PostgreSQL, Snowflake, BigQuery or Elastic - Terraform - Data pipelines and streaming, such as Kafka, Kinesis, Spark or Debezium - Python, Bash or Go - Involvement in open source, as a user, contributor or community member GOOD TO KNOW - This role is remote within EMEA, in a country where ClickHouse already hires - Travel to customer sites is part of the job, up to 35% of your time, depending on the project: some need none, others weekly visits - You'll join our EMEA Support Services team, where Support Engineers, Consulting Engineers and TAM Architects work as one team - You'll be part of the on-call rotation, about one week a quarter, with time off in lieu if you're paged at a weekend HOW WE HIRE - A 30-minute call with our recruiter - A conversation with the hiring manager - A take-home exercise, designed to take three to four hours, with three working days to complete it - A 90-minute technical interview with the team: you'll walk us through your take-home, then join a working session where you write and tune SQL live - A final conversation with our VP of Support Services - References, then an offer The working session is without AI tools, so make sure you're comfortable writing queries from scratch. Download open-source ClickHouse and practise: it's free, easy to install, and great preparation. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Flow Traders is looking for a Senior Software Engineer OTC Trading to build reliable OTC trading systems and modernize the trading platform.

PayPay is looking for Data Analysts to deliver actionable insights, develop product KPIs, build data infrastructure, and advance data-driven decision-making.

Location: Remote in the United States Workplace: Remote At Sanity https://sanity.io/, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morning Brew use Sanity to power and automate their content operations. In this role, you’ll join the Finance team as the AI & Innovation Lead, G&A, reporting to the CFO. You’ll sit in Finance with a dotted line to our Director of Systems Engineering. This role sits at the intersection of G&A operations, data, workflow automation, and AI. You bring the domain depth: you know how G&A teams actually work, where their processes and systems break, and which manual work eats their week. You’ll start with Finance, then quickly extend into People and the rest of G&A. You’ll prototype the fix yourself, vibe-coding agents, apps, and workflows on Sanity’s own platform and AI tools. Systems Engineering and the Data team back you on architecture, security, and production hardening, so your ideas become systems the business can rely on. If you’re a G&A operator who has already started rebuilding your own work with AI, and you want to do that for an entire G&A organization, this role is for you. WHAT YOU WOULD DO: - Shape and execute on the AI first transformation roadmap for G&A: map where G&A teams lose time, and decide what to build, buy, or automate first. - Run intake, prioritization and stage-gates for the G&A transformation portfolio, with clear owners, decision rights and a regular exec review cadence - Prototype agents, apps, and automations yourself on Sanity’s platform and AI tools, then partner with Systems Engineering to take the ones that work to production. - Translate G&A processes into clear specs and prototypes for engineering: data flows, system of record, controls, edge cases, and what “done” looks like. - Build for trust through controls, audit trails, access management, data quality, and human-in-the-loop review, so G&A teams and auditors can rely on what you ship. - Partner with the Data and IT teams on the G&A systems and data infrastructure, connecting the systems G&A and our data warehouse together. - Drive adoption across G&A: train teams, document the paved paths, and help each function run more of its own work with AI and retire legacy manual processes. - Measure impact through hours saved, cycle times, error and exception rates, adoption, AI evals, and stakeholder feedback. - Help shape the practices and culture of a young Systems Engineering team with a strong bias toward practical impact. ABOUT YOU: - Remote in North America (SF preferred). - Deep G&A domain knowledge, ideally 8+ years in Finance, Accounting, People ops, or business operations at a software company. - Hands-on experience applying AI to G&A work, for example leading an AI program for your function, automating a core process, or building agents for your own team. - Comfortable building prototypes with AI coding tools (Claude Code, Cursor, or similar). You don’t need to be a software engineer, and you’re not afraid of a terminal. - Understands APIs, data flows, and how G&A systems connect: what moves between the ERP, HRIS, CRM, contract tools, and warehouse, and where it breaks. - Excited by AI as an operating model, including agents, tool use, structured context, prompts, evals, and automation. - Cares deeply about controls, accuracy, auditability, and systems G&A teams can confidently rely on. - Program management strength: you can run a cross-functional roadmap, align stakeholders, and land change with teams that are busy running the business. - Comfortable with ambiguity and able to turn loosely defined business problems into shipped solutions. - Clear communicator who can explain G&A processes to engineers and technical tradeoffs to G&A teams. NICE TO HAVE: - Finance or accounting background - Hands-on with G&A systems such as NetSuite, Salesforce, an HRIS, and a data warehouse like BigQuery. - Experience across more than one G&A function. - Built or ran a G&A transformation, systems implementation, or migration. - Background in program management, change management, or enablement for internal tools. - Experience working at a high-growth or multi-entity company, ideally across the US and Europe. WHAT WE CAN OFFER: - A highly-skilled, inspiring, and supportive team - Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth - A global, multi-culturally diverse group of colleagues and customers - Comprehensive health plans and perks - A healthy work-life balance that accommodates individual and family needs - Competitive stock options program and location-based salary - Salary Range for SF: $165k - $180k annually. Final compensation within this range will be determined based on the candidate’s experience and skill set.   WHO WE ARE: Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.   Sanity raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values   Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

Location: Seattle; New York City; San Francisco Workplace: Hybrid ABOUT MOTHERDUCK Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. WHAT YOU WILL DO We’re looking for a Product Marketer who lives at the intersection of words, product, and customers. You’ll take what our engineers build and turn it into stories that make developers and data teams lean in. You’ll own positioning and messaging, write the pages people actually read, and make sure our sales team walks into every conversation ready. This role can be based in our Seattle, San Francisco or New York City office. Key responsibilities - Write. A lot. Website copy, landing pages, launch posts, product one-pagers, emails. You care about every word and you know when to cut. - Help shape how we tell our story. Work alongside product, sales, and leadership on who we’re for, why we’re different, and how to say it in a way a data engineer won’t roll their eyes at... then keep it fresh as the product and market evolve. - Build the web and the artifacts. Ship landing pages, comparison pages, demos and interactive assets... ideally hands-on with AI tools rather than waiting in a queue for design and eng. - Arm the sales team. Create battlecards, pitch decks, objection handling, and competitive takes that AEs and Customer Engineers actually use in deals. Sit in on calls and bring what you hear back into the messaging. - Run launches. Plan and ship product launches end to end with product, engineering, DevRel and growth. - Stay close to customers and the market. Talk to users, track competitors (Snowflake, Databricks, BigQuery and friends), and turn what you learn into sharper stories. - Work AI-first. Use Claude and other tools to research, draft, prototype and ship. Help set the bar for how marketing at MotherDuck uses AI. WHAT YOU BRING - 3 to 10 years in product marketing, ideally at a B2B software or developer-focused company - Excellent writing. Clear, punchy, and specific... you can make a technical idea land in one sentence - A real knack for positioning: you've taken a product to market and can show the before and after - Experience building web pages and landing pages, and comfort shipping them yourself with modern tools - A track record of sales enablement that sales teams actually used - Genuine curiosity about technical products. You don't need to write SQL for a living, but you want to understand how the thing works - AI fluency. You already use AI daily to do better work, and you're excited to push that further - A bias for action. You'd rather ship a good version this week than a perfect one next quarter   WHAT PEOPLE SHOULD BE SAYING IF YOU’RE DOING DUCKING AWESOME - “I sent the new landing page to a prospect and they replied ‘this is exactly our problem.’ Didn’t have to explain a thing.” - “Honestly, I understand our own feature better after reading the launch post.” - “The battlecard came up in the call and I had the answer before they finished the question.” - “They showed me a workflow they built with AI last week and now half of marketing uses it.” WHAT WE PROVIDE - Feather-ruffling compensation – competitive salary and stock options so you have a stake in our flock’s success. - Top-notch healthcare coverage – 100% paid medical, dental, and vision for employees, plus 80% coverage for dependents (because we care about your whole nest). - Flexible PTO – take the time you need to recharge, explore, or just have a lazy day by the pond. - 401k plan – because even ducks need to plan for the future. - Flexible work environment - spend most of the week in the office collaborating with the flock, and work from wherever you're most productive the rest of the time. Specifics are role dependent and as agreed upon with your manager   WHY MOTHERDUCK We're a ~110-person, Series B team building on one of the fastest-growing open source projects in data. We're small enough that your work shows up on the website next week, and growing fast enough that there's always something new to figure out. How we work comes down to four values: - Thoughtfulness. We care about the people we work with and the craft behind what we ship. - Flexibility. Plans change. We adapt without drama. - Unorthodoxy. We question the default way of doing things, including in marketing. - Agency. We own outcomes and don't wait for permission. PLEASE APPLY Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Location: Dallas Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. This role sits within our Peoplefun studio. PeopleFun is an award-winning creator of mobile games for players across the globe. We are a Dallas-based game studio founded and maintained by game industry veterans, where game developers thrive on collaboration, creativity, teamwork and fun. Our games are played by over 25 million players each month, and we have a number of exciting mid-core and casual games in development. Our mission is twofold: excellence in creativity and data-driven product innovation, and to be a best-in-class workplace providing unique opportunities to learn and exercise curiosity. Role Overview PeopleFun Games is looking for a Lead Data Analyst to own analytics for our New Games division, which rapidly prototypes and market-tests multiple game concepts. This is an individual contributor role with influence across multiple titles and the authority to set analytical standards and priorities for the team. You’ll partner with Product, Engineering, and Marketing leadership to turn complex data into clear recommendations that shape product direction in an AI-forward environment. We launch and sunset multiple games every few weeks. You’ll thrive here if you’re energized by speed, comfortable making decisions with incomplete data, and able to build analytical foundations that hold up as the portfolio constantly changes. Key Responsibilities Support rapid decision-making: Define and uphold best practices for interpreting data so teams can reach confident conclusions quickly to iterate on each game. Design experiments: Partner with Product and Marketing to design A/B tests with clear hypotheses, metrics, and guardrails. Own dashboards and reporting: Build and maintain scalable Looker dashboards that give Product and Marketing actionable insight into core game KPIs such as retention, monetization, gameplay engagement, and user acquisition performance. Govern AI-assisted analysis: Define and uphold quality standards for analyses and visualizations that non-analytical teammates produce with AI tools. Review outputs for correctness and sound interpretation, without becoming a bottleneck. Engineer data context and skills for AI: Improve the semantic layer and question-to-source routing that our AI tools rely on, and measure their accuracy so trust in AI-generated insights stays high. Build and test reusable AI skills that help teammates speed up data work. Safeguard data quality: Work with engineering to validate tracking and data pipelines, and investigate and resolve discrepancies that affect reporting. Balance consistency with new-game needs: Keep New Games analytics aligned with established metrics and definitions from our mature titles wherever possible, and make deliberate, documented choices where new concepts need something different. Skills Required: 6+ years analytics experience, including time in product or games analytics Expert-level SQL and Looker skills Deep experience designing and analyzing experiments (A/B, sequential, multivariate) Experience with semantic layers and writing context or reusable skills for AI tools, and a practical understanding of where AI analytics tools succeed and fail Comfort turning ambiguous business problems into structured analytical frameworks Experience partnering with Data Engineering to shape scalable data infrastructure and validate data quality Track record of influencing product and marketing decisions with senior stakeholders Ability to work from our Dallas office in a hybrid arrangement. Reasonable relocation support is available for qualified candidates in the United States that are open to relocating to Dallas. Preferred Skills: Background in mobile or free-to-play games, with a genuine passion for games and player experience Familiarity with mobile advertising and user acquisition data BigQuery Python or other scripting languages Working at Tripledot Time Off: Flexible Discretionary Time Off policy in addition to bank holidays to relax and refresh throughout the year. Financial: Generous 401k match, discretionary bonuses, and competitive salaries. Health & Wellness: Comprehensive Medical, Dental, and Vision coverage. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Family-Friendly Culture: A generous parental leave policy and a supportive, family-friendly culture. Regular company events: Yearly on-site events that celebrate our achievements and our team spirit. The anticipated base salary range for this role is USD $135,000–$175,000. Compensation decisions are made based on the unique qualifications, experience and circumstances of each candidate. Actual compensation is determined based on a variety of factors, including, but not limited to an individual's skills, experience, education, training, licenses and certifications (where applicable), as well as business and organizational needs. The final compensation package will be based on the specific position offered in addition to a full range of medical and other benefits. Tripledot Studios is proud to be an equal-opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. As part of our interview process, we may use AI-enabled tools to assist with note-taking and summarizing conversations. These tools are used only to support our recruiters and interviewers. They are not used to screen applications or make hiring decisions. All candidate evaluations and hiring decisions are made by people. This opening is for an existing vacancy. All legitimate Tripledot roles are only posted on our official careers page and LinkedIn and we do not conduct job interviews via messaging apps like WhatsApp, Telegram or others. We never ask for personal or financial information during interviews. Sensitive information is only ever requested after a formal written offer through official channels.  Any attempt to do so may be the result of a scam or phishing attack, and you should not engage. Our in-house recruitment team will only contact individuals through their official Company email addresses (tripledotstudios.com)

Location: Amsterdam Workplace: OnSite ABOUT US: Tebi is creating the first Connected Restaurant Management System that makes hospitality flow. In one seamless platform, Tebi embeds sales, reservations, kitchen prep, payments, and all the data that powers it, creating smooth service and intuitive insights. Founded by Arnout Schuijff, co-founder of Adyen, and backed by €50 million in funding from Index Ventures & CapitalG, Tebi is built in service of hospitality first. Thousands of restaurants, cafés, bars, and coffee shops across the Netherlands, UK, Italy, Spain, Germany, Denmark and Finland already love running on Tebi.   ABOUT THE ROLE: We’re looking for a Senior AI Engineer to build and run the agents at the heart of Tebi OS. You’ll design, ship, evaluate and scale our Product Agents, along with the data pipelines, tools and infrastructure that make them reliable in production. The ideal candidate started in data or ML engineering and has since moved into AI engineering, building LLM-powered agents for real users. You enjoy turning messy financial and operational data into context an agent can reason over and act on with confidence and you are passionate about solving product challenges through AI. You’ll work closely with product and engineering to put intelligence into the hands of hospitality teams. That could be an agent that answers questions about a restaurant’s finances in real time, one that automates repetitive back-office tasks, or internal tools that help us move faster. WHAT YOU’LL DO: - Design, build and operate production agents: orchestration, tool and function calling, memory, multi-step reasoning, and integration with Tebi’s backend services - Build the data foundations agents rely on, including real-time and batch pipelines over financial and operational data, retrieval layers, and well-modeled datasets agents can query safely and accurately - Turn APIs and internal services into well-defined agent tools, and own the contracts between agents and the rest of the platform - Set up evaluation for agent behavior: offline eval sets, LLM-as-judge and human review, regression testing on prompt and model changes, and feedback loops that improve agents over time - Own observability for agents in production by tracing sessions, tool calls and model calls, and tracking latency, cost, error rates and quality - Work with product teams to find where agents can meaningfully improve the customer experience or internal workflows, and say clearly where they can’t - Make sure agents handle data securely and responsibly, with sensible guardrails, access controls, and protection against prompt injection and data leakage WHAT YOU’LL BRING: - 7+ years in software engineering, with a solid base in data or ML engineering - Hands-on experience building and shipping LLM agents to production, not just prototypes. You’ve dealt with flaky tool calls, runaway loops, hallucinated arguments and token budgets, and you have opinions on how to handle them. - Strong data modeling and data warehousing fundamentals, plus experience with ingestion, transformation and data quality - Strong SQL, and experience with pipeline tools (e.g. Airflow, dbt) and analytical or cloud data platforms (e.g. ClickHouse, BigQuery, Snowflake) - Experience evaluating and monitoring LLM systems, and an understanding of the full lifecycle from experiment to deployment to ongoing improvement - Backend engineering skills: you’re comfortable building the API endpoint that exposes an agent’s output to the frontend, or the service an agent calls as a tool - Clear communication, including the ability to explain trade-offs in latency, cost, accuracy and complexity to product partners - A product mindset. You care about how your work lands with users, and you’re keen to meet customers face to face to understand their needs. This probably isn't the role for you if you have been working with AI agents to improve your day to day working flows but you haven’t built an Agent in the production. People who succeed at Tebi are independent, curious and passionate about hospitality. If this speaks to you we can be the right fit. Learn more about how we work from our Recipe here: https://www.tebi.com/gb/careers . BENEFITS: - Start-up Equity - Competitive Salary - Lunch Provided in Office - Team building events - Unlimited time off What is Restaurant Software? Restaurants and other merchants use various software systems such as Point of Sale (POS), Reservations, Kitchen Display Systems (KDS), Payments, Inventory, Staffing, and the list goes on. These systems all need to speak to each other which they frequently don’t. It’s a mess, and we are fixing it. From buying a croissant at a cafe to having dinner with friends, it’s a €4 Trillion+ global market and a critical part of everyday life in today's economy. How we use AI at Tebi We use AI the way our merchants use Tebi, to cut out the friction and get to what matters faster. We believe in a world where AI increases quality, efficiency and speed. At Tebi, AI isn't a policy or a checkbox, it's just part of how we work. It helps us write, analyse, build, and improve but doesn’t make the last call. If there's a smarter way to do something, we want to find it.

Location: Georgia; Romania; Poland; Bulgaria Workplace: Remote About B2Spin We are B2Spin, and we are dedicated to delivering the best Free-to-Play Social Casino and gaming experiences by creating captivating, engaging, and unique products that are accessible to everyone. We have built a team of talented professionals from all over the globe, who are working to continually improve the experiences of our players. We are not looking to just be part of the industry, but to revolutionize it. The role B2Spin is looking for a Payments & Fraud Data Analyst to join our Business Intelligence team and help keep money moving safely through our platform. You'll turn transactional and player-behaviour data into clear insight that improves payment performance, prevents fraud and abuse, and protects the experience for genuine players — working closely with Payments, Fraud, Compliance and Operations to make their decisions sharper and faster. What you'll do - Own payment performance analytics end to end — diving into success rates, declines, payment methods and provider performance to surface improvements that reduce friction and cost. - Uncover fraud and abuse patterns across transactional and behavioural data — from promo abuse and multi-accounting to chargebacks and money cycling — and translate findings into actionable rules, thresholds and segments. - Design, back-test and monitor automated risk decisions, balancing fraud capture against player friction and tracking real-world impact after every change goes live. - Build the reporting layer that keeps the business informed — dashboards in Looker or Tableau, plus alerts for business-critical anomalies like provider volume drops or risk spikes. - Partner with Compliance on AML work, delivering investigation queries, data analysis and audit-ready reporting that hold up to scrutiny. - Accelerate Operations and Customer Service with analytics that quantify review workloads, case outcomes and player-facing friction so teams move faster and more consistently. - Raise the analytical bar across the business — documenting data sources, metric definitions and automation logic so insight is trusted, reusable and easy to build on. What we're looking for - Hands-on data analyst background in payments, fraud, risk or AML — ideally within gaming, iGaming, fintech or another high-volume digital environment. - Strong SQL skills on a cloud data warehouse (BigQuery preferred) paired with practical experience in Looker, Tableau or Power BI. - Demonstrated experience analysing fraud and abuse patterns in transactional and behavioural data, with a clear understanding of the trade-off between fraud capture and friction for genuine players. - The ability to run analytical projects from ambiguity to delivery — scoping unclear questions, building solutions, documenting them and monitoring their impact over time. - Confident, clear communication across Operations, Compliance and senior leadership, including the ability to challenge assumptions with data in a remote-team setting. - An investigative instinct and sharp attention to detail — you notice when something looks off and you follow it until you understand why. - Python for deeper analysis, anomaly detection or modelling is a strong plus, as is familiarity with fraud-scoring tools, device or behavioural signals, social casino mechanics, or ML approaches to fraud detection. Our values At B2Spin, passion means we genuinely love what we build — and we surround ourselves with people who feel the same way. Performance means we back that passion with accountability: we move fast, own our results, and choose progress over perfection every time. Equal opportunities We hire based on skills, drive, and ideas — nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking. Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.

Location: Malta Office Workplace: Hybrid About B2Spin We are B2Spin, and we are dedicated to delivering the best Free-to-Play Social Casino and gaming experiences by creating captivating, engaging, and unique products that are accessible to everyone. We have built a team of talented professionals from all over the globe, who are working to continually improve the experiences of our players. We are not looking to just be part of the industry, but to revolutionize it. The role B2Spin is looking for a Payments & Fraud Data Analyst to join our Business Intelligence team and help keep money moving safely through our platform. You'll turn transactional and player-behaviour data into clear insight that improves payment performance, prevents fraud and abuse, and protects the experience for genuine players — working closely with Payments, Fraud, Compliance and Operations to make their decisions sharper and faster. What you'll do - Own payment performance analytics end to end — diving into success rates, declines, payment methods and provider performance to surface improvements that reduce friction and cost. - Uncover fraud and abuse patterns across transactional and behavioural data — from promo abuse and multi-accounting to chargebacks and money cycling — and translate findings into actionable rules, thresholds and segments. - Design, back-test and monitor automated risk decisions, balancing fraud capture against player friction and tracking real-world impact after every change goes live. - Build the reporting layer that keeps the business informed — dashboards in Looker or Tableau, plus alerts for business-critical anomalies like provider volume drops or risk spikes. - Partner with Compliance on AML work, delivering investigation queries, data analysis and audit-ready reporting that hold up to scrutiny. - Accelerate Operations and Customer Service with analytics that quantify review workloads, case outcomes and player-facing friction so teams move faster and more consistently. - Raise the analytical bar across the business — documenting data sources, metric definitions and automation logic so insight is trusted, reusable and easy to build on. What we're looking for - Hands-on data analyst background in payments, fraud, risk or AML — ideally within gaming, iGaming, fintech or another high-volume digital environment. - Strong SQL skills on a cloud data warehouse (BigQuery preferred) paired with practical experience in Looker, Tableau or Power BI. - Demonstrated experience analysing fraud and abuse patterns in transactional and behavioural data, with a clear understanding of the trade-off between fraud capture and friction for genuine players. - The ability to run analytical projects from ambiguity to delivery — scoping unclear questions, building solutions, documenting them and monitoring their impact over time. - Confident, clear communication across Operations, Compliance and senior leadership, including the ability to challenge assumptions with data in a remote-team setting. - An investigative instinct and sharp attention to detail — you notice when something looks off and you follow it until you understand why. - Python for deeper analysis, anomaly detection or modelling is a strong plus, as is familiarity with fraud-scoring tools, device or behavioural signals, social casino mechanics, or ML approaches to fraud detection. Our values At B2Spin, passion means we genuinely love what we build — and we surround ourselves with people who feel the same way. Performance means we back that passion with accountability: we move fast, own our results, and choose progress over perfection every time. Equal opportunities We hire based on skills, drive, and ideas — nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking. Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.

Location: Москва ИТ B2C - самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее. Мы, команда офиса CDO B2C, строим платформу данных, которая обеспечивает быстрый, надежный и качественный обмен информацией между Сбером и компаниями-партнерами. Это основа для персонализированных предложений умных продуктов и эффективных бизнес-решений. Наша команда - Команда развития Платформы в офисе CDO B2C ищет DE-инженера для реализации задач по загрузке, аналитике и трансформации данных. Обязанности проектировать и реализовывать ETL/ELT-пайплайны для загрузки и обработки данных (включая DAG в Apache Airflow) оптимизировать и сопровождать процессы обработки больших данных (Apache Spark, Apache Flink) интегрировать источники данных (базы данных, API, файловые хранилища) в единую pipeline-архитектуру настраивать и администрировать Airflow для оркестрации workflows участвовать в разработке архитектуры хранения и обработки данных (включая Hadoop-экосистему) документировать решения и формировать базы знаний. Требования наличие высшего образования опыт разработки ETL/ELT-процессов (реализация, оптимизация, мониторинг) профильное владение Python (включая библиотеки для работы с данными) практический опыт с распределенными вычислениями: Apache Spark (PySpark/Scala) или Apache Flink глубокое понимание SQL и опыт работы с РСУБД (PostgreSQL, MySQL и др.) знание Apache Airflow (создание DAG, настройка сенсоров, операторов) навыки администрирования Linux (развертывание, мониторинг, troubleshooting) **Будет преимуществом:** базовые знания Scala (или готовность к изучению) опыт с Hadoop (HDFS, YARN, Hive) знание облачных платформ (AWS S3/Glue, GCP BigQuery, Azure Data Factory) навыки автоматизации (Ansible, Terraform) опыт работы с стриминговыми данными (Kafka, Debezium). * Условия гибридный формат ежегодный пересмотр зарплаты и годовая премия расширенный ДМС и льготное страхование для семьи уникальная система обучения Сбера для профессионального и карьерного развития выгодная ипотека для сотрудников подписка Прайм с возможностью совместного использования на трёх близких вознаграждение за рекомендацию друзей в команду Сбера корпоративная пенсионная программа.

Location: San Francisco, California WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE We’re looking for a Business Systems Engineer to own the systems that turn a signed deal into a correct invoice and accurate revenue numbers. You’ll work across our go-to-market and finance stack: CRM, quoting and CPQ, billing, the data warehouse, and the integrations between them. Salesforce is one important part of that stack, not the whole job. This is an engineering role with business ownership: you’ll design how data and money move between Sales, Finance, Billing Ops, and Data teams, build the automation that keeps them in sync, and use AI to remove manual work and surface timely signals to reps and operators. You’ll partner closely with Sales, Deal Desk, Billing Ops, Revenue Accounting, and Data Engineering. This role is based in one of San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU’LL ACHIEVE - The big bet: Create a reliable GTM and quote-to-cash foundation across CRM, CPQ, billing and finance systems, marketing automation infrastructure, the data warehouse, and the integrations between them. - By day 90, build a clear understanding of the critical data flows between GTM systems, finance systems, and the warehouse, then ship an initial improvement to a high-value integration or workflow. - By day 90, develop AI-powered and agent-based workflows that reduce manual work for reps, Deal Desk, and Billing Ops while improving the quality of signals available to reps and operators. - By the end of your first year, automate billing-critical workflows such as upgrades and prorated refunds, early renewals, true-ups, and credit deferment, with audit trails Finance can trust. - By the end of your first year, improve data integrity and reporting through clear data models, deduplication, validation rules, reconciliation, and monitoring—including accurate ARR, pipeline, dashboard, and forecasting infrastructure. - Raise the bar for how the team ships and operates: sound access, change management, and release practices; thoughtful documentation and tool decisions; reusable tests, runbooks, code review, and AI-assisted development practices. SKILLS YOU’LL NEED TO BRING - Demonstrated experience in business systems engineering, GTM engineering, revenue operations, or a technical sales or marketing operations role, with the ability to own problems end to end and work effectively across functions. - Strong SQL skills and experience working with a data warehouse such as Snowflake or BigQuery; you design for clean, traceable data and understand how to protect its integrity across systems. - Experience building integrations with APIs, webhooks, event-driven services, reverse ETL, or automation platforms such as Zapier, Workato, or Tray.io http://Tray.io. Scripting in Python or JavaScript, or building serverless integrations, is a plus. - Familiarity with finance systems and concepts such as quote-to-cash, billing, invoicing, and revenue recognition, and the ability to work effectively with Finance and Billing Ops. Experience with an ERP such as NetSuite is a plus. - Hands-on Salesforce development experience with Apex, triggers, Lightning Web Components, and Salesforce automation, following the team’s development and release practices: source control, pull requests, code review, automated testing, and the deployment pipeline - is a plus. - Hands-on experience with Salesforce CPQ, Revenue Cloud, or a similar CPQ tool — including product and pricing data models, price books, bundles, and approval rules — is a plus. - Genuine curiosity about AI, with experience applying it to day-to-day work through AI-assisted development, agents, or workflow automation. Familiarity with Salesforce administration and customization—including objects, flows, permissions, and integrations—is a plus, not a requirement. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and NYC, the estimated base salary range for this role is $167,000 - $228,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.