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Location: Ebene Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. What the job involves We are looking for a highly analytical and detail-oriented Data Analyst, Incentives & Commercial Reporting to join our growing team in Ebene, Mauritius. Reporting to the Manager of Incentives & Commercial Reporting, you will be the analytical backbone of our commercial performance, executing the data workflows that ensure our global sales teams are incentivized correctly and our revenue insights are flawless. At Checkout.com http://Checkout.com, "high performance is a science, not an accident." In this role, you will live in the data that proves that science. You will own the day-to-day execution of complex datasets, build and maintain crucial dashboards, and calculate the commercial compensation that drives our frontline teams. This is a role for a naturally curious problem-solver who loves digging into the numbers to find the truth and automate away friction. What you will be doing - Incentive Execution: Calculate, audit, and administer commercial compensation and bonus plans. You will dive deep into the data to ensure every payout is accurate, transparent, and delivered on time. - Data Investigation & Reporting: Maintain the commercial reporting cadence. You will extract and manipulate raw data to build an unvarnished view of business performance, helping to move the needle from estimation to predictability. #NoRoomForApproximation - Dashboarding & Tech Stack Utilization: Leverage BigQuery, Looker, and advanced Google Sheets to build and maintain the dashboards that act as our single source of truth. - Process Optimization: Identify manual bottlenecks in our current reporting workflows and help architect automated, scalable solutions. You won't just report the data; you will improve how it flows. - Workflow Automation: Design, construct, and manage automated workflow solutions to eliminate repetitive manual bottlenecks across commercial reporting and incentive management. - Strategic Support: Partner closely with your Manager and the wider Revenue Operations team to translate complex datasets into clear, actionable insights for Commercial Leaders. #OneTeam About you - Data-Driven Problem Solver: You have 2–4 years of experience in Data Analytics, Revenue/Sales Operations, Finance, or a similarly analytical role within a fast-paced environment. - Quantitative Foundation: You hold a qualification in Mathematics, Economics, Finance, or another highly quantitative degree. - Technical & Coding Chops: You possess strong programming skills (e.g., Python, SQL) and hands-on experience with advanced developer tools and AI coding assistants like Claude Code. You have practical exposure to BigQuery for data manipulation and experience building scalable visualizations in Looker. - Spreadsheet Master: Advanced proficiency in Google Sheets is non-negotiable. You are highly comfortable with complex formulas, large data sets, and financial modeling. - Detail-Obsessed Storyteller: You have a meticulous eye for detail and the ability to look at a raw dataset and pinpoint exactly where the anomalies or opportunities lie. - Adaptable & Fast-Moving: You thrive in an environment where priorities shift and you are comfortable with ambiguity. You pivot quickly to maintain momentum and deliver results. #PaceMatters - Software Engineering Mindset: You apply modern software engineering practices to data workflows—leveraging version control, modular code, and automated testing to build robust, maintainable data pipelines. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs are now one company. Together we build the data movement and transformation tools that data teams around the world rely on. Our Analytics team runs on those same tools every day, so you'll work on a modern data stack and help set best practices for the industry. As a Senior Product Analyst, you'll help product leaders understand how customers adopt, use, and stay with our core Fivetran data movement and dbt platform products as well as new product releases spanning AI, BI, and compute. You'll be a "full-stack" analyst. You'll build the data models, define the metrics, create the dashboards, run the analysis, and turn it all into recommendations that shape what we build next. AI is part of how we work. We expect analysts to use AI tools thoughtfully to accelerate analysis and increase efficiency, while applying their own judgment and validating the results. This is a full-time, flexible hybrid position based in Oakland, CA. Our hybrid work model offers remote flexibility and in-person collaboration; there is no fixed number of required office days, and we encourage teams to meet in person regularly. Why This Role Is Exciting Two product portfolios just came together. Many questions about how customers use Fivetran and dbt together have never been asked. You'll be one of the first people to answer them. Your work drives leadership decisions. You'll focus on adoption, engagement, and retention, the metrics product leaders use to decide where to invest. You own the work end to end, from raw data to the decision it informs. You'll analyze products built for people like you. Our customers are data teams. Technologies You’ll Use SQL (BigQuery / Snowflake) dbt / dbt State Looker / LookML / Omni Hex / Sigma / Google Sheets Claude Code / Codex What You’ll Do Partner with product managers and product line leaders to understand problems and potential solutions with data. Deliver regular analysis and insight on product adoption, engagement, and retention. Proactively investigate trends in user behavior and product usage. Find issues and growth opportunities before anyone asks, and use them to shape product and growth strategy. Define, measure, and monitor the KPIs that show whether our products are healthy and whether the company is on track. Size the potential impact of new product initiatives and recommend how to prioritize them. Analyze product launches and experiments, and recommend what to do next. Find and reduce friction in the funnels users go through to sign up, activate, and adopt our products. Tackle questions where product data meets broader business data, such as revenue, sales, and support. Build and maintain the data models, metrics, and dashboards behind your work. Help new hires, colleagues, and partners understand our data and use it well, so data-informed decisions become the norm. Skills We’re Looking For 5+ years in analytics, mostly in product analytics, ideally at a high-growth B2B or SaaS company. Advanced SQL. You can turn messy, raw data into clean, trustworthy datasets, and write, debug, and explain SQL yourself. Comfort using AI tools in analytics workflows to explore data, draft or improve SQL, automate repetitive work, and synthesize findings. You can evaluate and validate AI-generated output. Hands-on experience building data models, ideally with dbt, creating dashboards in a BI tool such as Looker, Omni, or Tableau, and performing funnel, cohort, and segmentation analysis. A track record of using analysis to drive product or business decisions, not just report on them. You can take an open-ended question with little direction and turn it into a clear analysis and recommendation. Strong attention to detail and prioritization. Clear written and verbal communication, including the ability to explain findings to executives and technical tradeoffs to engineers. Experience influencing cross-functional, distributed teams, both asynchronously and in real time. Bonus Skills ​ Experience designing and analyzing experiments (A/B/n tests), including test design, sample size, significance, and turning results into launch decisions. Deep knowledge of the SaaS customer lifecycle and business metrics, such as ARR (annual recurring revenue), retention, and expansion. Experience defining product events and helping teams self-serve in product analytics tools like Amplitude, Mixpanel, or Heap. Experience developing and scaling a large dbt project. Python or R for analysis. #LI-DJ1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $156,082 — $195,102.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote, Global About the Role We're looking for a FinOps Data Engineer to help drive cost optimization and cloud financial governance across our AWS infrastructure and GCP footprint. You'll work cross-functionally with Engineering, Finance, and Product to find and ship savings, build the tooling necessary to maximize efficiency of every dollar spent in the cloud, and cultivate a culture of cost awareness across engineering teams. This role owns the data side of that mission: the models, pipelines, and analysis that make cost, usage, and margin numbers trustworthy across the company. This is a hands-on engineering role, not an analyst seat. You'll do the schlep work other teams don't have time for, digging into a bucket's access pattern, writing the dbt model or Python pipeline that ships the fix, building the cost-vs-revenue mart that answers a margin question once instead of every time, and chasing a number until it reconciles. Strong communication matters as much as technical depth, you'll regularly explain a savings case or a data model's implications to an engineering team, a finance stakeholder, and a leadership audience in the same week. What You'll Be Responsible For In this role, you'll: - Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify opportunities, rightsizing, storage lifecycle policies, data transfer, and spot/auto-scaling. Take ideas from identification through to a realized dollar figure, not just a recommendation. - Build and maintain the FinOps data pipeline: Design and run the BigQuery/dbt models that turn raw billing and usage data (CUR, Storage Lens) into reconciled, trustworthy mart tables, the foundation everything else in FinOps is built on. - Build cost-vs-revenue and customer segmentation models: Model unit economics and margin by product line and customer segment, and extend coverage as new products and segments come online. - Apply data science to cost and usage data: Build forecasting models, detect anomalies statistically rather than by threshold alone, and quantify savings opportunities (e.g. storage lifecycle, request-cost patterns) with rigor a spreadsheet can't match. - Build and maintain cost attribution: Tagging policies, cost allocation, and chargeback/showback so engineering teams can see and own their own spend. This is foundational work other savings work depends on. - Automate cost governance: Build automated cost reporting, anomaly detection, and alerting. Write the scripts and infrastructure-as-code (Python, Terraform, Lambda) that enforce cost policy rather than relying on manual review. - Partner with engineering on architecture decisions: Bring cost into the room early, cost-efficiencies are cheaper to get right at design than to retrofit. - Work with Finance on forecasting and reporting: Support budget tracking and financial KPIs; build dashboards and self-serve analytics engineering and finance can both read. You Might Be a Good Fit If You - Have strong AWS expertise and working GCP knowledge, including pricing models, billing structures, and cost optimization mechanics. - Have data engineering depth: dbt, BigQuery (or an equivalent modern warehouse), SQL at scale, and data modeling for analytics (dimensional modeling, incremental models, testing). - Have data science fundamentals: statistical forecasting, anomaly detection, and experimentation, and know when a rigorous model beats a rule of thumb. - Have automation and scripting skills: Python, Terraform/ pulumi, Lambda, or Bash. - Are comfortable with cost/billing tooling: AWS Cost Explorer, Cost & Usage Reports, GCP Billing Reports, and BI/dashboarding (we use Hex). - Have experience with, or are comfortable picking up, Linear and Notion as the system of record for tracking and documenting FinOps work. - Experience with a dedicated cloud cost management platform (e.g. CloudZero, Vantage, or similar) is a plus, not required. - Can analyze cost data and present it clearly to both technical and non-technical audiences. - Have prior experience spanning data analytics, data engineering, or data science in a FinOps, cloud cost management, or cloud governance context. - Are energized by doing the unglamorous, high-leverage work (the schlep) that unblocks other teams, and by working cross-functionally without positional authority. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Sofia About us The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our commitment to diversity, equity and inclusion We believe everyone should have a fair opportunity to contribute, succeed, and reach their full potential. That means ensuring everyone is heard, respected, and valued, while identifying and removing barriers that may get in the way. Our commitment is to be an employer role model, grounded in inclusion and fairness for all.We want every application to receive fair and thoughtful consideration; therefore, all applications are reviewed by a member of our recruitment team, not by AI. The role The Analytics Engineer is responsible for bridging the gap between data engineering and data analytics by maintaining and developing scalable data models and solutions that support finance, B2B, and B2C teams. The role plays a key part in delivering value through modern data stack technologies (including dbt), supporting cloud migration efforts, ensuring data quality, and maintaining the performance of analytical data pipelines. Key responsibilities Collaborate with stakeholders across departments to design and implement robust data models and BI solutions. Build, test, and maintain data transformations using dbt (data build tool). Implement software engineering best practices for data, including version control, CI/CD, and automated testing. Deliver day-to-day support and project-related tasks for the data and BI infrastructure. Develop and maintain scalable, maintainable, and well-documented data pipelines. Identify and resolve issues across ETL/ELT processes and data pipelines. Required skills and experience Essential 3+ years of experience in Analytics Engineering, BI, or Data Engineering roles. Strong proficiency in SQL, including complex queries and performance tuning. Hands-on experience with dbt for data transformation and modeling. Understanding of data migration to cloud platforms such as AWS (Redshift) or GCP (BigQuery). Familiarity with database design, version control (e.g. Git/GitHub), and CI/CD practices. Experience with ETL/ELT tools (e.g. Airflow,DBT). Personal skills Strong analytical thinking and problem-solving abilities. Effective communication skills and ability to collaborate across teams. Attention to detail and focus on continuous improvement and data quality. Adaptability to fast-paced environments. Often used technology stacks and tools Databases & Data Warehouses: AWS Redshift, BigQuery, MS SQL Server. Data Transformation: dbt (data build tool). ETL & Data Processing: Airflow. BI & Data Visualization Tools: Looker. Programming & Scripting: SQL, Python. Version Control & DevOps: GitHub, CI/CD pipelines. Cloud Platforms: AWS, GCP. What’s in it for you? Our benefits Annual bonus scheme 25 days paid leave 24/7 Employee Assistance Program Life Insurance Enhanced Parental Leave policy Food Allowance Multisport Card Both in house and external training programs Your own training dedicated budget (for conferences, courses etc.) We currently operate a hybrid model which requires staff to work onsite 50% of the time, subject to role requirements & regular review. While flexible working requests will be considered, not all patterns are suitable for all roles. We believe this balanced approach supports flexibility and protects our culture, making collaboration and communication easier, building stronger relationships and team cohesion, and supporting peer learning.  We reserve discretion on reasonable notice to change this approach either generally or for specific individuals or teams. Accessibility We are a disability confident employer and Valuable 500 signatory. Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of our team will be happy to help. Further information At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com. Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT. #LI-MG1

Задачи: — Решение сложных технических задач и разработка качественных программных систем с применением современных технологий. — Работа с данными в production-среде. — Поиск первопричин сбоев. — Преобразование и валидация больших объёмов данных. — Взаимодействие с REST-API. — Загрузка и выгрузка данных. — Работа с сериализованными и сжатыми форматами. Требования: — От 2 лет опыта с Python и библиотеками для работы с данными (pandas, multiprocess, Google Cloud SDK). — От 2 лет в ETL/ELT-технологиях (REST API, GraphQL, DBT) и оркестрации пайплайнов (Airflow, Astronomer, DBT Cloud). — Практический опыт со Snowflake. — Уверенное владение SQL (SQL Server, Oracle, MySQL, BigQuery, Snowflake). — Работа с форматами JSON, AVRO, XML, CSV, а также со сжатыми и закодированными файлами. — Навыки загрузки данных через REST-API и выполнения трансформаций. — Достаточный уровень английского для работы в международной среде. — Плюсом — опыт проектирования пайплайнов в облачной архитектуре, работы с CI/CD и GIT.

Location: United Kingdom; Poland; Portugal; Spain; Germany; The Netherlands Workplace: Remote Recognized on the 2025 Forbes Cloud 100 list https://www.forbes.com/companies/clickhouse/?list=cloud100, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and $250M ARR https://clickhouse.com/blog/clickhouse-tops-250m-arr-and-4000-customers, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round https://clickhouse.com/blog/clickhouse-raises-400-million-series-d-acquires-langfuse-launches-postgres. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! We're hiring a Product Manager to own partner integrations at ClickHouse. This role owns how ClickHouse shows up inside the platforms our customers already use: embedded, native experiences across the hyperscalers and developer platforms, and deeper technical integrations with strategic partners like dbt, Fivetran, Hex, and Sigma. There is a growing surface of partner work already in motion, and this role shapes where we invest in co-innovation opportunities. This is one of the most cross-functional roles at ClickHouse. You'll work across multiple engineering teams, our partnerships and solutions teams, and the partners themselves to deliver meaningful co-innovation and integrations with complementary technologies. You'll own the technical side of our House Mates partner program and be the person who navigates the multi-org reality of getting an integration certified, listed, and live. This is a hands-on role: you'll write the specs, run the partner calls, drive certification processes, and coordinate across teams to get things over the line. YOU WILL - Own the product strategy, roadmap, and execution for ClickHouse's Cloud integrations with strategic partners - Seek out complementary innovation opportunities with partners. Define what a "better together" integration looks like with each strategic partner, and drive it from joint roadmap through launch. - Navigate the trade-offs of embedded integrations: billing and metering, identity and auth, security and data residency, and coordination across ClickHouse and partner teams. - Project-manage complex, multi-org launches: marketplace listings, certification processes, partner co-marketing, and GA timelines across multiple organizations. - Own the technical standards and certification criteria for integrations submitted through the House Mates partner program. - Measure and communicate co-innovation business impact, adoption and product strategy to executive leadership. - Represent ClickHouse externally at partner events and in joint content. YOU BRING - Experience shipping integrations into third-party platforms before: hyperscaler marketplaces, embedded or native integrations, ISV partnerships, or OEM/white-label work. - An understanding of the trade-offs that make or break a partner integration, billing, auth, security, cross-team dependencies, and have made those decisions in the past. - A strong project management lens and are comfortable owning a launch that depends on five teams across two companies. - Patience and resilience with partners who are unresponsive or have their own competing priorities, and you find creative ways to keep things moving anyway. - Technical ability to understand an integration end to end, from provisioning and auth to billing and data flow, and to hold a credible conversation with engineers about APIs, architecture, and technical trade-offs. - Energy and excitement for external-facing work: partner calls, customer conversations, and representing the product publicly. - Hands-on and high ownership ability. You write the specs, run the partner calls, and stay close to the details. - Comfort in ambiguity and fast-moving environments. PREFERRED QUALIFICATIONS - Hands-on experience building partner integrations with hyperscalers and modern technology companies. - Experience running or supporting a technology partner program. - Background at a database or data infrastructure company; familiarity with ClickHouse or peers like Snowflake, BigQuery, or Databricks. - Experience working in remote, multi-timezone environments. 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: Austin, in-person Job Title: Senior Growth Marketer Austin, TX, In Office Own retention for the millions of diners who use inKind Food is at the center of culture, hospitality, and daily life across the planet. At inKind, we're building a new way to help restaurants thrive, built by restaurateurs for restaurateurs. We power the relationship between millions of diners and over 10,000 restaurants. We are looking for a Senior Growth Marketer at inKind who can own user engagement and lifecycle development You'll combine consumer marketing instincts with strong data and technology fluency to decide what we say, to whom, through which channels, and when, to drive results. Our team has a builder-first mindset, leveraging Braze and Snowflake to turn rich user data into personalized, lifecycle-driven marketing. You will own the engagement and lifecycle strategy across in-app, communications, and 3PD platforms. You will build a marketing program where automated agents are deeply integrated into operations. You'll work daily with designers, engineers, analysts, and other cross-functional team members. What You'll Work On Big picture, your job is simple - increase user LTV. How you’ll do it: Engagement Strategy Own the engagement and lifecycle roadmap, from hypothesis and segmentation to creative and execution to results and measurement to iteration and optimization to continual audit and enhancement over time Define lifecycle stages (active, lapsing, high-value, dormant) using behavioral data and turn them into programs that improve engagement and user value Write creative briefs and project plans that our automation and creative teammates can build from Experimentation and Analytics Build your own cohorts and segments, and read your own dashboards without waiting on an analyst Design and ship experiments end to end (hypothesis, segment, creative, measurement, iteration and optimization), then productionalize what works Develop process and tools to track experiments more effectively across campaigns and channels Agent-Driven Marketing Create the playbooks, infrastructure, prompts, and documentation that agents use to run campaigns safely Set the guardrails (rules, approval steps, and monitoring) for campaigns that agents run Use AI tools in your own daily workflow and help the team do the same Minimum Qualifications 5+ years of B2C marketing experience, ideally for a consumer app Experience running lifecycle marketing across multiple channels Demonstrated experience designing and shipping experiments end to end Comfort analyzing large datasets Can build cohorts and segments from raw data, analyze results independently, and explain them to non-analysts Hands-on use of AI tools in your workflow, and the ability to tell us which ones and how Preferred Qualifications Startup experience Experience with a CEP such as Braze, Iterable, or Customer.io (the thinking matters more than the tool) Experience running paid retargeting to reactivate lapsed diners. Background in consumer marketplaces, rewards, restaurants, or hospitality SQL familiarity or experience working with a cloud data warehouse (Snowflake, Redshift, BigQuery) Experience working alongside engineers on automated or data-driven marketing systems Some of Our Benefits Exciting opportunities at the forefront of restaurant technology Generous PTO and company holiday policy + company-paid Short Term Disability 100% employer-covered health and dental insurance; higher-tier and dependent coverage options available Vision plan available at employee cost Child care benefits and generous parental leave Dog-friendly Austin office with great views of downtown Daily lunches and snacks for in-office team members Salary $130,000 - $180,000 DOE Who we are: inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy . For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.

Задачи: — Развивать личный кабинет посетителя и ключевые этапы воронки — от первого контакта на лендинге до забронированного урока. — Отвечать за атрибуцию: выстраивать сквозные цепочки визитов, работать с UTM-метками и локализовать разрывы в трекинге конверсий (V2L / V2B). — Реализовывать server-side интеграции с рекламными кабинетами (Meta CAPI, TikTok Events API и аналогичные инструменты). — Писать и отлаживать бэкенд-код на Python и Node.js: разрабатывать эндпоинты, настраивать кеширование и разбираться с SSR. — Сопровождать A/B-тесты: от настройки раскатки и флагов до своевременного рефакторинга и чистки кода после завершения эксперимента. — Мониторить продакшн-инциденты через Sentry, оперативно находить причины и доводить решения до деплоя. — Контролировать и улучшать перформанс публичных страниц по метрикам Core Web Vitals. Требования: — Опыт коммерческой разработки на TypeScript и React — от 3 лет. — Уверенные навыки работы с Python и Node.js: умение самостоятельно решать задачи на бэкенде (проектирование API, кеширование, отладка SSR), не ограничиваясь простой BFF-прослойкой. — Практический опыт в продуктовой аналитике и трекинге: GTM, кастомные события, серверная отправка конверсий. — Понимание всего пути данных от клика до аналитического отчета и умение быстро находить точки их потери. — Продуктовый подход: привычка работать с гипотезами, влиять на метрики и видеть за кодом бизнес-цель. — Английский язык, достаточный для работы в международной среде. Будет плюсом: — Понимание требований GDPR и опыт внедрения consent-механик на публичных веб-ресурсах. — Опыт использования WordPress в режиме Headless. — Навык написания E2E-тестов на Playwright или Cypress. — Знание SQL и BigQuery на уровне самостоятельной проверки аналитических гипотез. — Опыт работы с CDN и кешированием на edge-уровне (CloudFront или аналоги). — Умение эффективно работать с Sentry и быстро локализовать продакшн-ошибки. Условия: — Полностью удалённый формат работы — работайте из любой точки мира. — Возможность влиять на будущее образования с помощью технологий искусственного интеллекта. — Безлимитный paid time off (безлимитные отпуска). — График работы 5/2, полная занятость. Стек технологий: TypeScript, React, Python, Next.js, Node.js, Express (с SSR на Pug), Sass / PostCSS, Vite, Gulp, MUI, собственная дизайн-система в Storybook, Vitest, Jest, Cypress и Playwright.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Staff Technical Writer to write and edit enterprise documentation that empowers our customers to use Fivetran and understand how our data warehouse, database, and data lake products work. You’ll collaborate with engineers, product managers, support engineers, and other technical writers. You join a friendly team of technical writers distributed among our international offices. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Documentation-as-code tools, including Markdown, Git, GitHub, and CI/CD workflows Data platforms such as Snowflake, Databricks, and BigQuery Cloud storage services such as Amazon S3, ADLS, and GCS Collaboration and project management tools such as Jira and Slack What You’ll Do Create and maintain clear, accurate product documentation and release notes that help customers succeed. Review and refine customer-facing content, including error messages and UI text. Use a docs-as-code approach to co-author documentation with engineers, product managers, and contributors across the company. Improve existing documentation by ensuring technical accuracy, clarity, and consistency. Collaborate with a global writing team to define and evolve documentation standards, style, and terminology. Partner with engineers, SMEs, and cross-functional teams to deliver best-in-class technical documentation. Contribute to style guides, templates, and other shared resources that raise the bar for all company content. Act as a writing resource for other teams, helping improve content quality across the organization. Skills We’re Looking For Extensive expertise in data warehouse and data lake documentation: 8+ years of experience documenting data warehouses, databases, data lakes, and cloud applications for a US-centric audience. Deep technical knowledge: Experience with complex data lake and data warehouse technologies, cloud platforms (AWS, Azure, GCP), data pipelines (ETL/ELT), and replication techniques. Scripting, automation, and AI proficiency: Skilled at leveraging scripting, automation, and AI tools to streamline documentation workflows and enhance technical content delivery. Exceptional communication skills : Proven ability to craft clear, concise, and accurate documentation; strong technical editing abilities; impeccable grammar; and consistent application of style guides. Documentation leadership: Expertise in content planning, creation, and review processes, with a track record of implementing best practices that elevate documentation quality. Project management and organizational skills: Experience leading documentation projects, mentoring writers, managing competing priorities, and adapting to change while delivering high-quality results. Collaboration and customer focus: Strong history of working with engineers, writers, and globally distributed teams, translating customer needs into improved documentation that drives customer success. Bonus Skills​ Experience working at technology companies with globally distributed technical writing teams documenting enterprise-grade products or services. Understanding of the nuances of complex documentation lifecycles and experience working in an Agile environment. Experience working in a docs-as-code environment, GitHub, Markdown, CLI, and HTML. Understanding of cloud object storage, metadata catalogs such as AWS Glue and Unity Catalog, and open table formats such as Apache Iceberg and Delta Lake. Experience documenting configuration and deployment workflows for containerization and orchestration platforms such as Docker, Podman, and Kubernetes. # LI-HYBRID #LI-DB1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Limassol, Cyprus; Warsaw, Mazowieckie, Poland Workplace: hybrid This role leads the IT Asset Management function at Capital.com, delivering it against the strategy and priorities set by the VP of IT Operations. You turn a fragmented setup into a function that actively delivers trusted data and services to the rest of the business, so teams can decide and act on reliable information rather than chase records. You own the IT asset register (Software and SaaS, on-premise solutions, the development stack and hardware, etc.) together with the automation and data services built on top of it, and you are the trusted source of data on assets and spend. You lead a small multidisciplinary team and partner closely with Vendor Management, Security, Finance and IT Operations. What You Will Do: Lead the IT Asset Management function and deliver it against the strategy and priorities set by the VP of IT Operations. Deliver data and services to other functions as the outcome: capture their needs, then build and run the services that meet them, rather than collecting data for its own sake. Own the IT asset register across Software and SaaS, on-premise solutions, the development stack and hardware, keeping it complete, accurate and trusted. Operate one trusted source of data on assets and spend, and build the Asset Management automation on top of it. Keep controls on asset data lightweight and non-duplicated, so trusted data drives real decisions across teams. Lead asset-driven budgeting and regular reporting, and provide data services to the Finance department. Partner with Vendor Management to optimise procurement and with Security to detect and reduce Shadow IT. Direct integration with Atlassian services (Jira, Confluence, Jira Assets and JSM) and the asset data platform (data warehouse plus BI layer). Lead integration of purchased solutions to standard, support through change, and clean offboarding (data archival and migration, access removal, service-account disposal, documentation). Line-manage and develop the team, setting direction, priorities and quality bars. Who You Will Work With: Vendor Management and Procurement: on spend and procurement optimisation, and on the vendor and contract data that feeds the register. Security and IAM: on Shadow IT detection, access and SSO data. The Finance department: budgeting, reporting and spend visibility, delivered as a service. IT Operations and SysAdmins, and Data / Analytics or central Data Engineering: on data sources and delivery of the asset data platform. Service and Business Owners across the company: to capture needs and deliver the data and services they rely on. What You Bring: Proven experience building process systems and keeping them lightweight in a regulated environment; you hold the balance between simplification and control. A track record of delivering against an agreed strategy and roadmap while bringing your own judgment to reach the outcome, not just following a brief. Deep experience working with large data sets, with a clear grasp of why each item is collected and what decision it serves. A record of delivering data services that other departments actually use, not just producing reports. Strong understanding of a service model: a function that builds services for others while running its own operations. Experience building and then operating data warehouses for applied use. Experience in hybrid infrastructure (on-premise plus cloud). Excellent stakeholder skills: you can negotiate with business people and with engineers and stay credible to both. Nice to Have: SQL (PostgreSQL and/or BigQuery); you need not build pipelines yourself but should specify, direct and sanity-check them. Python and API integration familiarity. Experience managing an IT Asset Management (ITAM / SAM) function in a large company. Familiarity with BI tools (Looker, Metabase, Tableau or Grafana) and IAM tooling (Okta). Fintech, brokerage or banking experience. What you will get in return: Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. Work-Life Harmony: Join a company that genuinely cares about you —because your life outside of work matters just as much as your time on the clock. #LI-Hybrid Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance. Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: SF Bay Area Workplace: Hybrid ABOUT THE ROLE We’re looking for an experienced software engineer to help drive and evolve our data and AI security product. Our technology is new and rapidly evolving: you’ll be an early contributor with a substantial impact on the architecture and be solving multiple exciting technical challenges! WHAT YOU'LL DO - You'll design and implement highly scalable and fault-tolerant solutions to protect enterprise data across public clouds (e.g., AWS, GCP, Azure), SaaS applications, and AI agents. - You'll build security capabilities that provide visibility into and control over how AI agents discover, access, process, and share sensitive enterprise data. - You'll solve real-world scaling problems that require thorough performance analysis and troubleshooting skills. - You'll work with a modern and constantly evolving microservices-based software stack that includes Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, Docker, and more. - You'll write robust, secure-by-design software that must withstand real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet. WHO YOU ARE - Proven Expertise: You have 5-8 yrs of industry experience in building high-scale security products. Experience in data security is highly preferred. - AI Agents and Agentic Security: You have experience building AI agents, agentic applications, or security solutions for AI agents. Familiarity with agent frameworks, tool calling, MCP, and securing agent access to enterprise data is highly preferred. - Cloud and SaaS Development: You have extensive experience developing distributed application software for public clouds (AWS, GCP, Azure) or SaaS applications. - Data Integration at Scale: You are skilled in integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs. - Programming Skills: You have extensive experience developing enterprise-scale applications, preferably in Go. Alternatively, you are proficient in Python, Java, or Rust. - Database Proficiency: Familiarity with GCP Bigtable, BigQuery, or graph databases such as Neo4j or AWS Neptune is a plus. - Performance Optimization: You have expertise in profiling and optimizing distributed code that interacts with large databases and streaming platforms. - API and Microservices Development: You are experienced in designing and implementing RESTful APIs, with hands-on knowledge of microservices and Kubernetes. - Communication Skills: You have excellent verbal and written communication skills in English and are comfortable collaborating frequently with distributed teams across Europe, India, and the US. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Bangalore Workplace: Hybrid ABOUT THE ROLE We’re looking for an experienced Senior Software Engineer with 5+ years of experience to help build and evolve our data and AI security product. You’ll work on scalable backend systems that protect enterprise data across cloud environments, SaaS applications, and AI agents. As an early contributor, you’ll have the opportunity to influence technical decisions and solve complex engineering challenges at scale. WHAT YOU’LL DO - Design and build highly scalable, reliable, and fault-tolerant backend systems to protect enterprise data across public clouds (AWS, GCP, Azure), SaaS applications, and AI agents. - Develop security capabilities that provide visibility and control over how AI agents access, process, and share sensitive enterprise data. - Build and optimize distributed services that process large volumes of data with high performance and reliability. - Work with a modern microservices-based stack including Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, and Docker. - Write secure, production-ready code and troubleshoot complex performance and scalability challenges. - Collaborate with engineering teams to contribute to technical design and architecture decisions. WHO YOU ARE - You have 5+ years of software engineering experience building scalable backend systems and distributed applications. - You have experience developing cloud-native or SaaS applications, preferably in security or data protection. - You have experience with AI agents, agentic applications, or AI security, including familiarity with agent frameworks, tool calling, or MCP. - You have experience integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs. - You have strong programming skills in Go, Python, Java, or Rust, with Go preferred. - You have hands-on experience with microservices, RESTful APIs, Kubernetes, and public cloud platforms. - You are familiar with distributed databases such as Bigtable, BigQuery, Spanner, Redis, or graph databases. - You have strong debugging, performance optimization, and problem-solving skills, with the ability to independently own and deliver technical solutions. - You communicate effectively and collaborate well with distributed teams. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Remote, Worldwide Workplace: remote About Distru Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack. We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor. Get to know the team, our culture and our full benefits at distru.com/careers! The Role AI has hit an inflection point in model capability for enterprise work, and AI assistants like Claude, Codex, and Grok are seeing record adoption in the workplace. We believe the system of record has never been more valuable, because it's where the data AI acts on gets consolidated and organized. So we're building Distru headless-first: unified access to ERP data, deep MCP and embedded AI assistant integrations, agents embedded in Distru, and a seamless experience between the ERP and the AI tools our customers already use. The AI space moves fast and the specifics will change, so this vision is something you'll mold. As our first VP of Product, you'll own: Product direction: strategy across Distru ERP, Distru Commerce, Order Agent, Distru Analytics, and our AI product suite, with accountability to revenue & growth AI product suite: the foundations that make Distru an all-in-one AI stack, including the unified data layer, agent builder, workflow builder, MCP, and the headless experience AI vision and evangelism: keeping Distru ahead of the curve on AI, finding where it creates product-market fit and new market opportunities, and championing that vision with the team, customers, and the market Product org: growing the product team from 4 to 8+, structured to serve existing ERP and Commerce customers while building new AI-first product lines Product timeline: the company's source of truth for what's shipping and when AI-first product process: how the team plans, specs, designs, and ships with AI And more… You'll report to the CEO and work closely with the VP of Engineering, Head of Sales, Head of Go-to-Market, and the product team. You'll have a long-tenured team of craftspeople around the existing product, and a fast-moving AI team experimenting at the frontier. There's a lot of autonomy and room to bring new methods, and we welcome wild AI-forward ideas. What you'll do Product strategy Deliver a quarterly strategy review to the exec team: market landscape, ERP and AI sequencing, a 1-year roadmap, metrics, and resourcing asks Own the product timeline and keep the company and technical teams aligned on it Shape our data infrastructure (StarRocks, BigQuery, Postgres) with engineering so it serves internal and external AI use cases AI vision and evangelism Track new models, AI tools, and competitor moves, and turn them into a point of view on where Distru should play next Find product-market fit for our AI products and size the new markets AI opens up, testing bets with customers before we commit the roadmap Evangelize our AI vision inside and outside the company: rally the team, equip GTM with the story, and show customers and the industry what an AI-first ERP can do Team leadership Own the product hiring pipeline, set the hiring bar, and find creative ways to bring in top talent Manage and coach the product team, including hard feedback, performance plans, and exits when needed Set PRD standards, review PRDs, designs, and mockups, and lead the team's adoption of AI-first product processes Cross-functional leadership Set the operating cadence with engineering: planning, roadmap reviews, and a clear split where product owns the what and engineering owns the how Work with GTM on launches, feature enablement, and AI-forward content, and make sure our MCP and API docs and knowledge base are high quality Run the feedback loop from customers, CS, and Sales, build relationships with key customers, and track feature adoption in a way the whole company can see What success looks like at 6 months You've run your first quarterly strategy review, and the exec team has signed off on a 1-year roadmap tied to revenue targets You've made your first product hires, at a hiring bar you've set and written down You've shipped a core piece of the headless AI suite, and its adoption and revenue impact are tracked in a dashboard the whole company uses What we look for AI fluency For every AI role, we look for three things: Tool fluency: you personally build with AI tools. You go beyond prompting and have built your own skills, agents, workflows, or prototypes. Process fluency: you've set AI-first processes for a product team, and you have a point of view on how to evaluate AI fluency when hiring a PM. Build fluency: you know how to evaluate an AI workflow in production, with evals, observability, and feedback loops that make agents better over time. You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it. Must have 10+ years in product management, including 4+ leading product teams Product leadership: you've built and run a product org, including hiring, coaching, and making hard people calls, and you've led a product into new markets or major new product directions AI products in production: you've built and shipped AI product lines such as MCPs, Agent Builders, Workflows, Copilots, etc… that are used in production Technical depth: you know the modern SaaS and AI stack, including infrastructure, data, AI models, and full-stack development, and the production concerns that come with it: reliability, observability, permissions, and durable workflow execution Outcome orientation: you measure the impact of product decisions by their revenue impact Hands-on: you still do the work: PRDs, tools, details. You can sit with engineers without translating through a layer Strong signal Experience in ERP, accounting, cannabis, or supply chain software You've taken an AI product from zero to revenue You've led product at a B2B SaaS company at a similar stage You've been a founder How we work We love building with AI. Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools. Product owns outcomes, not output. You measure product by adoption and revenue, and you hold the team to the same bar. Taste and conviction beat consensus. You make opinionated calls on what we build, and you grow that taste across the product team. Product owns the what, engineering owns the how. You hold a high technical bar without doing engineering's job. You'll build on what we've learned. You'll have access to the team's combined AI knowledge and the processes and skills we've built. For the full picture of our culture and who thrives here, see distru.com/careers . Benefits Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru. Here are a few highlights (exact benefits vary by country and employment type): Fully remote across 4 continents Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave 18 days PTO + 11 holidays (sick days don't count toward PTO) Medical, dental, vision + 401(k) for US employees The best AI tools available and a generous AI stipend for everything else Yearly in-person team offsites Interview process Application questions: three short questions on something you've built with AI, an AI capability you've shipped, and the product teams you've led Leadership interview (60 min): your background, how you lead, hire, and manage product teams, and a briefing on the role AI product-market fit (60 min): your view of AI product-market fit for Distru, plus a show and tell of products and mockups you've built Co-building session (90 min): build a working prototype of a feature live with AI, alongside our design and product team Technical leadership (60 min): how you work with engineering, what makes an MCP and headless suite defensible, and how product improves agents over time Take-home: Headless AI Product Suite (4–8 hours, then a 60 min presentation): define Distru's headless AI product suite and present it live Meet the team (four 45 min calls): calls with both co-founders, a reverse AMA with GTM, and an AMA with the product team References and offer Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world. Where you land in the range depends on your experience and skills. The role also includes equity.

Location: Lisbon, Portugal Joom is a global cross-border marketplace where millions can find anything they want at fair prices. Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world. Joom is one of the key businesses of Joom Group, an international group of tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom Group also includes other businesses: JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products. We’re looking for an analyst for Order Experience – the area responsible for the user experience from the moment an order is placed: payment and the user’s journey in the app after purchase. Here, analytics directly affects both the user experience and the business economics: how easy it is to pay for a purchase, how quickly a customer’s issue gets resolved, and how much that resolution costs the company. You’ll work with the Product, Payments, Billing, and Support teams: together with managers, engineers, support specialists, and the finance team, you’ll identify opportunities for improvement, test hypotheses, and see them through to implementation. To do this, we have a mature internal A/B testing platform, a set of MCP tools and AI agents for analytical tasks, high-quality data in BigQuery and Spark, and transparent data preparation processes built on Airflow and dbt. This role is a great fit for someone who enjoys proactively proposing changes, taking part in setting priorities, and seeing the results of their work in the product and in business metrics. Responsibilities Improving checkout and the post-purchase experience. Identifying the reasons that prevent users from completing payment, and testing hypotheses that make this journey simpler Developing AI support. Working with the team to improve AI Chat: finding scenarios for automation, and assessing the quality of user problem resolution and the impact on the business Improving the support contact experience. Researching the user journey from ticket creation to problem resolution, agent performance, and refund decision-making Increasing operational efficiency. Forecasting support workload, improving the automatic refund model, and finding opportunities to reduce costs while maintaining service quality Designing and analyzing A/B tests. Helping teams choose metrics and experiment designs, interpret results, and automate analysis. Developing the metrics system. Making payments, billing, and support metrics clear and useful for decision-making, and investigating changes and anomalies Influencing team priorities. Identifying growth opportunities, estimating the potential impact of initiatives, and helping decide where it’s worth investing time Enabling teams to work with data independently. Preparing data for AI tools and automating repetitive analysis so that colleagues can answer basic questions on their own Requirements Strong SQL and Python skills for data analysis and automation A solid understanding of mathematical statistics and hands-on experience with A/B testing – from forming a hypothesis to drawing conclusions and making recommendations Experience applying AI in analytical work: the ability to integrate it into everyday tasks, verify its outputs, and find new opportunities for automation Independence and an interest in the business: the ability to dig into a problem, propose hypotheses, and connect analysis results to a specific decision The ability to explain complex topics clearly to colleagues with different backgrounds — from engineers to support, finance, and legal specialists The ability to manage work for multiple stakeholders: making priorities transparent, agreeing on scope and timelines, and justifiably deprioritizing less important tasks Preferred Experience in e-commerce, payments, support, or operations automation Building your own AI tools and agents for data analysis We offer Compensation package: base salary and performance-based bonuses Office-first: flexible hours with a possibility to work remotely 52 days per year Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave Relocation Support: full assistance for a smooth relocation for the employees and their family AI-first approach: licenses and access to a wide range of AI tools Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work Before applying for the above position please review our Candidate Privacy Notice here . By responding to the vacancy, you acknowledge that you have read our Privacy notice.

Location: Kuala Lumpur, Malaysia; Indonesia; Singapore Workplace: fully We're Osome - an international fintech startup making the lives of entrepreneurs easier. We help thousands of businesses kick admin, accounting and bookkeeping out of their day-to-day, so they can spend more time on what's important to them. We've developed a unique solution that combines SaaS with a human-in-the-loop approach to provide full-fledged services in real-time. We’re experiencing rapid growth in both client base and team, which now comprises around 500 people across our offices worldwide. As we continue to scale, we’re looking for more bright minds who are excited to make a real impact by solving complex problems. What to expect: Intelligence builds the AI capabilities no single team at Osome should carry alone, and helps every other team ship AI well. It works in three modes. It owns cross-cutting capability. It enables product teams by pairing with their engineers, so the pattern transfers and the team runs it afterwards. It incubates only by exception: building inside another team's area when that team has no capacity, always with a written hand-back plan. This is a hands-on PM role. You'll find problems by talking to end users, dig into the data in BigQuery and Postgres to prioritise, prototype cheaply before committing engineering effort, and ship small fixes yourself. You'll also be the team's main liaison with Operations. At a glance You'd own: client and agent assistants (e.g. Maria, our client-facing bot, and the workflows it runs), document and accounting intelligence (e.g. document recognition, AI accounts review, our XBRL agent), and the shared AI foundation (evaluation and safety, memory, Osome MCP and model choices). You'd work with: five engineers, plus shared design and an analyst. Product teams across Osome and our operations teams are your customers. The problem to solve: AI is spreading across our teams faster than shared standards are. Your job is to stop every team reinventing evaluation, safety and memory, while our core AI products keep improving quarter on quarter. What you'll do: Own the Intelligence roadmap, OKRs and delivery, with two or three big bets each quarter. You make the prioritisation calls, own the business outcome behind the backlog, and write the release notes when things ship. Set the evaluation bar for AI across Osome: eval datasets, confidence thresholds, human-review sampling and go/no-go gates. With our Security team, set the safety and data-handling bar for AI across Osome: escalation rules, pre-action checks on agents, fail-open vs fail-closed behaviour, privacy and retention, client data isolation, and provider governance (e.g. zero data retention agreements). Define the success metrics for each AI product before it ships, then keep checking the data yourself after launch to see whether it's working. Brief the analyst on what to build, and review the result. Use that evidence to make model and provider calls, e.g. benchmark a new model against our own labelled documents before switching. Break epics into clear stories and tasks that engineers can pick up without a meeting. Pair with product teams' engineers to build AI features, and define what "successfully handed over" means. Be the team's liaison with Operations: run training and feedback rounds, collect baseline data, and drive adoption until the AI version beats the manual process. Run a small research track: test new techniques and approaches (e.g. retrieval, memory or agent patterns) on our own problems, and write up what we should adopt and what we should skip. Represent this team's priorities to senior stakeholders. As the team grows, mentor other PMs and help manage them. Who you are: Evaluated against our PM capability framework. At the Senior PM level, that means: Strategic impact: you can define and drive a strategy spanning 12 months or more for a platform-style team whose customers are other teams, tied to a company-level goal such as gross margin. Domain ownership: you own the OKRs, roadmap and business outcome of a complex, ambiguous, cross-functional area. You understand applied LLM/ML products deeply (evaluation, retrieval, memory, agent safety), and can become credible in our accounting and operations domain within two quarters. Collaboration: you drive high adoption of new tools with operations teams, including the processes needed to run them. You build consensus among senior leaders with conflicting goals, and you can say no while leaving the stakeholder feeling heard. Problem-solving: you map ambiguous, system-level problems, and know when a rule, a classifier or an LLM is the right tool. Execution: you reliably ship complex, cross-functional launches involving Operations and other product teams. You prototype to de-risk before committing engineering time, and you spot risks early. AI-literacy: hands-on well beyond prompting. You build prototypes and ship small PRs with AI coding tools, build eval datasets and run model experiments, read traces, and judge where models fail. Leadership: you shape direction across teams you don't manage, improve how the team works, and are ready to mentor at least one other PM as a player-coach. What you bring AI/ML features shipped to production, with quality measured after launch (accuracy, coverage, deflection). Experience building evaluation datasets and running model experiments: thresholds, go/no-go gates, human-in-the-loop decisions, and reading traces in an observability tool (we use Langfuse) to see where models fail. Experience shipping AI features that handle sensitive or financial data, and deciding when they should escalate to a human or stop. Daily use of AI coding tools (e.g. Claude Code, Codex, Cursor) to read code and ship small changes. Strong SQL. You can pick the right metrics for a product and explain what you need to an analyst. Data modelling is not required. Experience working directly with operations teams: running training, collecting feedback, and proving time saved against a manual baseline. A track record of good calls under ambiguity, and of checking afterwards whether they were right. (Nice to have) Setting company-wide safety and data-handling rules for AI: fail-open vs fail-closed policies, privacy and retention, and client data isolation, including knowing when a new AI vendor needs a security review before it sees any data. (Nice to have) Bookkeeping or accounting literacy: enough double-entry, chart-of-accounts and GST/VAT knowledge to judge whether an AI accounts review or document check is right. Either a qualification or hands-on bookkeeping experience counts. (Nice to have) Document AI/OCR in production: classifying or extracting invoices, bank statements and receipts, and the trade-offs between coverage, accuracy, confidence thresholds and cost. (Nice to have) Agentic systems or MCP in production: agents or tools that take real actions, with permissions, human approval steps and multi-step evaluation. Our Benefits Multi-cultural environment to enhance your global perspective. Learning opportunities and mentorship from peers and leaders. Flexible working arrangement; Hybrid working arrangement An agile working model focused on goals and performance. Equal Opportunity Statement At OSOME, creating a culture where individuals of all backgrounds feel comfortable really matters. Everyone who applies will receive fair consideration for employment. We do not discriminate based upon race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. We want to ensure that we represent the diversity of talent in the society we live in today. If you have any accessibility requirements that would make you more comfortable during the application and interview process, please let us know so that we can support you.

Location: European Union; Moldova; Latvia; Albania; North Macedonia; Slovakia; Malta; Croatia; Czech Republic; Slovenia; Romania; Spain; Bulgaria; Kazakhstan; Poland; Hungary; Montenegro; Estonia; Ukraine; Cyprus; Lithuania; Greece; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE Ruby Labs is hiring an experienced Senior Data Analyst to join our fast-paced, high-ownership environment. You will drive analytics across subscription products and web funnels, partnering with Product, Marketing (UAM), and Data teams to improve conversion, retention, and LTV- while ensuring trusted tracking, strong data models, and decision-ready reporting. This role is hands-on and cross-functional: you will own analysis from problem framing to recommendation, and you’ll mentor analysts while collaborating closely with Data Engineering/BI to keep data foundations reliable. RESPONSIBILITIES - Partner with Product, Marketing, and Data Teams to define KPIs, success metrics, and decision criteria. - Create new dashboards, maintain and improve existing reporting (e.g., Product Reports, Marketing Performance Reports), ensuring clarity and trust. - Deliver full-funnel analysis, identify bottlenecks, and propose improvements or A/B test ideas. - Analyze payment and subscription performance across checkout, trial-to-paid conversion, renewals, failed payments, refunds, and chargebacks; identify revenue leakage and recommend improvements. - Partner with Product, Engineering, and Finance to investigate payment issues and ensure payment metrics and revenue reporting are accurate and consistent. - Lead user behavior analysis (journeys, drop-offs, activation/aha moments) using event data. - Monitor key metrics and anomalies; escalate issues and communicate updates to stakeholders with defined SLAs - Own and maintain event taxonomy and tracking structure (events, properties, naming conventions); validate implementation and business logic alignment. - Design and build robust, reusable SQL data models (clean layers, consistent definitions, performance-minded queries). - Mentor Junior/Middle Analysts in SQL, validation, funnel/cohort analysis, and experimentation quality; provide regular feedback and guidance. - Give and receive direct, actionable feedback with peers and the Leadership Team; maintain a high bar for quality in a demanding environment. REQUIREMENTS - Degree in an analytical field (e.g., Mathematics, Data Science, Economics) or equivalent practical experience. - 3+ years of experience as a Data Analyst, with proven ownership of end-to-end analysis and stakeholder delivery. - Strong analytical and problem-solving skills; ability to identify trends, patterns, and root causes in large datasets. - Excellent verbal and written communication; ability to translate analysis into clear business actions. - Ability to think strategically and make data-driven recommendations aligned with company goals. - Strong experience in Product Analytics: funnels, cohorts, retention, LTV, churn, segmentation. - Hands-on experience with event analytics tools: Mixpanel, GA4, Amplitude, or similar - Advanced SQL - Experience with popular BI tools such as Tableau, Looker, or similar - Experience in subscription business - Hands-on experience analyzing payment and subscription data, including checkout conversion, payment approval rates, renewals, failed payments, refunds, and chargebacks. - Ability to adapt quickly, learn new tools and methods efficiently, and work effectively in a high-pressure, fast-changing environment - Strong spoken and written English NICE TO HAVES - Experience in Marketing Analytics - Experience with Python, R - Experience with GCP, BigQuery - Experience with Google Ads, Facebook Ads etc - Experience with orchestration frameworks such as Airflow, dbt - Experience with git and code review process LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (30 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Dallas, USA; New York, USA; Orlando, USA We are looking for a hands-on Lead Python Engineer / Technical Architect to act as the senior technical member of a small engineering team. The role combines Python development, AWS architecture, technical leadership, and direct collaboration with business stakeholders. The successful candidate will design and implement scalable solutions, modernize existing applications, establish engineering standards, and mentor junior and mid-level developers. The successful candidate will be able to move effectively between business discussions, solution design, architecture, development, code review, and mentoring, applying pragmatic technical leadership and excellent stakeholder communication to transform business-developed applications into robust, scalable, and maintainable engineering solutions. This is not a purely architectural or managerial role. The successful candidate is expected to remain actively involved in solution design, coding, code reviews, and delivery. This is a hybrid position requiring onsite presence at the client’s Chicago office 3 days per week. The estimated salary range for this position is $190,000 to $210,000 per year. Lead solution architecture and technical design activities Design, develop, and maintain production grade Python applications Refactor and modernize applications originally developed by business teams Design scalable, resilient, secure, and observable AWS native solutions Contribute to data architecture and solutions based on modern cloud data platforms (Snowflake preferred) Define engineering standards, design patterns, testing practices, and CI/CD processes Conduct code reviews and support software quality, maintainability, and security Collaborate with business stakeholders and subject matter experts to translate business needs into technical solutions Work effectively in an environment with limited Business Analyst support Mentor junior and middle level engineers and facilitate knowledge transfer across the team Strong hands on Python development experience Proven experience designing and building production grade applications Strong AWS architecture and cloud engineering expertise Previous experience as a Technical Lead, Lead Engineer, or hands on Architect Experience modernizing or refactoring legacy or business developed applications Strong SQL skills Knowledge of software architecture and design patterns Knowledge of API design and system integration Knowledge of automated testing and quality engineering Knowledge of CI/CD and version control Knowledge of application security, monitoring, and observability Experience with modern cloud data platforms (e.g. Snowflake, Redshift, Databricks, BigQuery) Experience working with data intensive applications or analytics solutions Strong stakeholder communication and requirements analysis skills Experience mentoring and supporting junior and middle level engineers Ability and willingness to work onsite in Chicago 2-3 days per week Experience in Financial Services, particularly Asset Management, Investment Management, or Capital Markets Experience with portfolio management, investment analytics, Fixed Income, or ETF solutions Hands on Snowflake experience Exposure to Aladdin, BNY, or comparable financial platforms and integrations Experience modernizing applications developed by business analyst or quantitative teams Familiarity with AI enabled software development, agentic workflows, or AI assisted SDLC

Location: United States (Remote) Workplace: Remote About the Role The Data Scientist, Product Growth and Experimentation will help drive decision making in support of our Product Led Growth function. This role sits at the intersection of Data, Product, Growth, and GTM. You will work deeply embedded within the Product and Engineering teams focused on PLG. Your focus will be illuminating the user journey from initial interest to fully adopted and all the steps in between. You will surface friction points in the onboarding process and identify behaviors that are indicative of successful adoption. You will evaluate interventions that help us to bring the value of Temporal to more users. You will work effectively across both large data, clean data sets and data sets with constraints in duration and sample size to provide well-informed recommendations and conclusions. You will bring deep knowledge and practical experience with statistical methods including matched comparisons, quasi-experimental methods, and uncertainty measurements to help overcome these constraints. The ideal candidate possesses strong analytical judgment and practical product sense. Ambiguous business questions do not intimidate you. You have a keen sense for when additional data or analysis could materially change a conclusion, and when it wouldn’t. You apply analytical rigor while balancing what is functionally required to advance a project. Your aim is to drive better decisions and faster learning through measurable customer outcomes. WHAT YOU’LL DO - Act as an embedded Data partner to Product, Design, and Engineering, helping shape strategy, product proposals, and experiments from the earliest stages. - Build analytical frameworks across the full PLG journey from acquisition and activation through engagement, adoption, expansion, monetization, and durability - Use funnel, cohort, journey, and sequence analysis to identify friction and opportunities for improvement. - Identify the behaviors and milestones that predict conversion, production readiness, expansion, churn, and long-term customer success, and translate them into leading indicators for successful or stalled accounts. - Analyze feature discovery and adoption patterns to recommend interventions that increase successful adoption and expansion. - Design and evaluate experiments and product changes, using matched comparisons, pre/post-intervention analysis, causal methods, and other appropriate techniques when conventional A/B testing is not practical. - Clearly distinguish observed results from assumptions, quantify uncertainty, and explain the confidence behind each conclusion. - Help prioritize growth opportunities based on potential impact, confidence, effort, and measurement feasibility. - Build reusable datasets, metrics, dashboards, and analytical tools that reduce ad hoc work and make insights accessible to Product, Marketing, Sales, and leadership. - Partner with Engineering and Data Engineering to improve event instrumentation, data quality, and the analytical models required for reliable product analysis. - Communicate findings through clear visualizations, written narratives, and practical recommendations for technical and non-technical audiences. WHAT YOU’LL FOCUS ON FIRST During your first several months, you will help the team: - Audit signals currently captured in the onboarding flow and recommend new instrumentation as needed - Establish reporting and repeatable analysis for PLG experiments. - Analyze user behavior after the first successful Activity or Workflow. - Identify signals of production readiness and common points where users stall. - Map feature-adoption paths across important product areas. WHAT YOU’LL BRING - A strong foundation in statistics, experimental design, causal reasoning, and quantitative analysis. - Experience using product, behavioral, or event data to improve activation, engagement, retention, conversion, or expansion. - Experience working with small samples, noisy signals, imperfect control groups, or environments where standard A/B testing is not always possible. - Strong judgment in choosing methods that fit the decision, available data, and level of uncertainty. - Proficiency in SQL and Python for analysis, modeling, and automation. - Experience with cohort analysis, funnel analysis, segmentation, predictive modeling, and supervised or unsupervised machine-learning methods. - Ability to prototype quickly in notebooks and convert recurring analyses into reliable data products, models, or workflows. - Experience with modern data platforms and query engines such as Athena, Presto/Trino, BigQuery, or Snowflake. - Familiarity with cloud and object-store technologies such as AWS S3. - Experience building dashboards and reusable analytical assets in a modern business intelligence platform. - Comfort working with evolving definitions, incomplete instrumentation, and trade-offs between analytical precision and decision usefulness. - A results-oriented mindset and a record of translating analysis into product or business action. - Strong communication skills, including the ability to explain methods, uncertainty, and recommendations in plain language. - Curiosity about developer platforms, cloud infrastructure, usage-based products, and how customers adopt technically complex products. - A collaborative approach and the ability to work effectively with Product, Engineering, Marketing, Sales, Finance, and Data partners. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.