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Location: Spain Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across e The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specialising in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus 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: Israel Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus 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: Paris; Madrid; Amsterdam; Marseille; Munich; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral’s AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver production solutions, and ensure smooth transitions from pre-sales to post-sales. This role targets industrial enterprises, where you’ll partner with R&D and engineering leaders to integrate AI across their engineering workflows - from early design and exploration through production and operations. You’ll navigate enterprise-grade security, compliance (ITAR/EAR/export controls), and strict data privacy/IP requirements. Success means enabling autonomous AI-driven workflows, accelerating time-to-market, and driving breakthroughs in product performance and innovation. WHAT YOU WILL DO STRATEGIC DISCOVERY & VISION SETTING - Lead executive-level workshops to identify business challenges and opportunities where Mistral’s AI can drive step-change improvements. - Co-create AI adoption roadmaps with customers, articulating the “art of the possible” and a clear path to value. - Partner with Account Executives to develop business cases, quantify ROI, and align solutions with customer objectives. AI SOLUTION DESIGN & DEPLOYMENT - Architect end-to-end AI solutions, integrating Mistral’s models and platform into customer workflows and technical infrastructure. - Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability and impact. - Own pilots and proofs-of-value, demonstrating the technology’s potential and paving the way for full-scale deployments. VALUE REALIZATION & CUSTOMER SUCCESS - Serve as a trusted advisor, guiding customer AI strategy and ensuring maximum value from Mistral solutions. - Monitor and communicate outcome-driven KPIs with executive sponsors. - Proactively identify expansion opportunities within accounts, building on initial wins to drive long-term partnerships. CROSS-FUNCTIONAL COLLABORATION - Act as the bridge between customers and Mistral’s internal teams, synthesizing feedback to influence product and research roadmaps. - Create reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence. - Travel (~30–60%) to foster deep client relationships and support on-site deployment. INDUSTRY / VERTICAL-SPECIFIC RESPONSIBILITIES (FILL ONLY IF VERTICAL-SPECIFIC) - Translate industrial engineering challenges into AI use cases - Design hybrid AI-physics pipelines and validate them against ground truth simulations. - Navigate enterprise IT constraints: Work with customer security teams to deploy models in air-gapped environments, VPCs, or on-prem HPC clusters. - Drive adoption with engineers: Conduct hands-on workshops to upskill teams on AI-assisted workflows WHAT WE'RE LOOKING FOR - 2+ years in a client-facing strategic and technical role (e.g., data science consulting, value engineering, technical sales) - Deep understanding of computational mechanics, numerical methods (FEM/CFD/DEM), or multi-physics simulation. - Familiarity with industry tools (e.g., Ansys, COMSOL, OpenFOAM, SimScale, or custom solvers) - Degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering). - Solid foundations in AI/ML/Data Science, with the credibility to advise technical and non-technical audiences. - Hands-on experience building and deploying AI applications (Python, JavaScript, or similar). - Strong business acumen and structured problem-solving skills. - Executive presence and strong communication skills (VP / C-level stakeholders). - Resilient, results-driven, and comfortable leading through influence in a collaborative environment. NICE TO HAVE - Experience with sales qualification frameworks (e.g., MEDDPICC). - Experience with value-based selling. - Prior experience in aerospace, automotive, or energy sectors   Why This Role Matters You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers.     HIRING PROCESS   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview  • 60min Technical Deep Dive on Physics AI • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote - APAC Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As a Staff Engineer, we want you to be responsible for designing, implementing, and maintaining the systems and services that form Alpaca's foundation and empower millions of users who trade billions of dollars worth of assets. We will look to you to contribute to regional recruitment initiatives, help drive cross-functional team projects, mentor teammates with respect to our engineering principles and practices, and foster Alpaca culture in the Japan region. We expect you to participate in operational reliability engineering during regional business hours, helping to ensure proactive 24x7 stability of our platform. For this role, we are seeking an experienced backend engineer who is dedicated to delivering seamless and high-quality software solutions. The ideal candidate has a proven track record of designing and building scalable applications, is comfortable challenging conventions and advocating for innovative solutions, and can bridge engineering work with Japan-specific regulatory, vendor, and partner requirements. In this position, we would like you to have the autonomy to architect and implement solutions that meet our strategic objectives while also actively contributing to the goal-setting process alongside a collaborative, cross-functional team. Things You Get To Do: Design highly scalable, mission-critical brokerage systems for the Japan market. Develop and enhance the middle- and back-office systems, including gRPC microservices, REST and gRPC APIs, and third-party vendor integrations specific to the Japan market (e.g. JPX , JSCC , JASDEC , banks, identity verification vendors). Work closely with Alpaca's core teams to enhance and transform the core framework, enabling support for multiple languages, currencies, and markets, with a particular focus on Japan-specific requirements such as NISA , MyNumber, withholding tax, and JP-GAAP accounting. Collaborate with tech leads in other regions both synchronously and asynchronously, primarily through Slack and meetings, to align with global teams. Coordinate with local regulators, vendors, partners, and business stakeholders, and translate those requirements into technical specifications for the global engineering team. Troubleshoot incidents and reported bugs to maintain system integrity and performance. Participate in on-call rotations and assist with timely engineering projects and production issues during Japan business hours. Thrive in a global environment, effectively navigating regulatory requirements and building scalable solutions to support Alpaca's expansion in Japan. Who You Are (Must-Haves): Business-level English fluency, with the ability to collaborate effectively in English-only team meetings, design discussions, code reviews, and written documentation. Proven experience in designing and developing complex financial systems, preferably including double-entry accounting. Strong understanding of accounting principles, ledger structures, and transaction reconciliation. Experience in building scalable, high-availability financial applications that handle multi-currency transactions. Familiarity with regulatory compliance requirements in financial markets, with a preference for experience in Japan ( FIEA , FSA , JSDA , JIPF , or related frameworks). Proficiency in at least one statically typed language (e.g. Go, Rust, Java, Kotlin, C#, Scala, or C++), with expertise in designing robust and efficient system architectures. Experience working with financial APIs, market data integrations, and trade settlement processes. Strong communication skills to collaborate effectively with global teams, local regulators, vendors, and internal stakeholders, bridging Japanese and English contexts. Strong computer science fundamentals and proven software engineering architecture experience. Ability to work independently in a fully remote, globally distributed team, and under pressure in a fast-paced environment. Strategic thinking and the ability to translate technical concepts into business strategies. Experience with domain-driven design and event-driven design. Strong problem-solving skills paired with a proactive mindset. Ability to lead and troubleshoot incidents or bugs with authority during Japan business hours. Who You Might Be (Nice-To-Haves): Business level and above in Japanese, with the ability to read, write, and communicate professionally with local regulators, vendors, and partners Experience in the Japanese financial services sector (securities firms, banks, brokerages, or fintech). Hands-on experience integrating with Japan market infrastructure such as JPX ( TSE / OSE ), JSCC , JASDEC , or major Japanese banks. Experience with Japan-specific products such as NISA , iDeCo, tokutei-koza, or MyNumber handling. Experience working in a startup or fast-growing technology company. Knowledge of emerging technologies. Experience or passion for financial markets. Experience managing vendors and organizational budgeting. Experience working with global, English-speaking teams across multiple time zones. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Georgia Workplace: Hybrid Our Professional Services team is expanding!   We are looking to hire a Senior Solutions Consultant in Georgia. This role offers a unique opportunity to combine technical aptitude, business skills, supply chain knowledge, and face-to-face client interaction in an exciting software consulting career. The position allows you to partner directly with industry-leading customers to help them achieve supply chain and business success.   Our Senior Solutions Consultants have the opportunity to work in a variety of industries, including consumer goods, food & beverage, third-party logistics, transportation and shipping, and more!   Solutions Consultants are the customer’s primary point of contact through the implementation of Bright Suite of solutions:   Bright Warehouse: Warehouse and Distribution Management Bright Order: Distributed Order Management Bright Source: Sourcing and Procurement Bright Store: Inventory Management and Point of Purchase Bright Socket: Software Integrations Bright Performance: Business Reports and Dashboards Bright Forecast: Demand Planning and Forecasting Bright Inventory: Inventory Planning   What You'll Do - Primary activities will include: Configuration, testing, issue resolution, and implementation support. - Collaborate with clients to solve challenging business requirements - Analyze and resolve issues that arise throughout the implementation. Works with analysts to resolve technical issues. - Performs testing of client-specific enhancements promptly. - 25-50% travel required. A portion of your time will be spent on-site working directly with the customer’s project team.   What You'll Need - Bachelor of Science degree in Engineering, Computer Science, Supply Chain Management, Management Information Systems, or related technical degree, with a minimum overall grade point average (GPA) of 3.03 - 3 years of experience developing, supporting, or implementing application software - Must possess an understanding of supply-chain management - Experience in troubleshooting and developing SQL queries using relational databases. - Experience in XML and JSON file formats. - Excellent communications and task management skills. - Enthusiastic and positive attitude - Ability to work and collaborate with team members both technically and functionally in nature. - Self-motivated and hungry to learn - Ability to handle multiple projects and tasks simultaneously - Must be able to travel approximately 20%. - Position located in Alpharetta, GA Perks - Be part of an energetic team that is serious about delivering software to customers and cultivating our culture. We work awfully hard and are having a blast doing it. This team believes that what we are doing is a game-changer in the industry - Coffee bar with cold brew on tap and a full time barista - Standing desk (if you’re into that sort of thing) - Corporate events, including food trucks, Top Golf, and other shenanigans - Corporate office with co-working spaces, ping-pong tables, corn-hole boards, and Avalon around the corner - Benefits package including health care, paid time off, life insurance, 401 (k) plan (with match), and gym reimbursement - Be part of a team recognized 5 years running as an AJC Top Workplace!

Location: Remote Workplace: Remote Our Team Dandelion Health unlocks a layer of unexplored clinical depth that has been previously inaccessible at scale. By combining all the raw multimodal data from community health systems with validated AI models, we deliver regulatory-grade scientific insights and products that give teams the evidence to design better trials, enroll the right patients, and generate AI-powered insights that drive confident decisions across the development and commercial lifecycle. Your Role You are an experienced analytics engineer who knows your way around clinical and electronic health record data. Your primary responsibility is to build, maintain, and optimize the transformation layer of our ELT pipeline, turning raw, messy clinical data into clean, well-modeled, analysis-ready datasets that our clients and internal teams can trust. You will own the full lifecycle of our data models: designing and implementing transformation logic, enforcing data quality and testing standards, optimizing pipeline performance, and documenting data models so they're discoverable and understandable across the organization. You will use your data expertise, programming abilities, and critical thinking skills to support our technical product team in scaling and growing our ability to provide meaningful data. Your team’s ultimate goal is to deliver the highest-quality data possible to our clients, who are building products that improve patient health. You will report to the Data Science Manager, under the Chief Data Officer. In this role, you will be responsible for: - Querying complex source systems in a range of health data sources (e.g., EMRs, ECG data, DICOM data) to identify and map data elements in order to create high-quality datasets to support training AI algorithms and conducting in-depth analyses of patient journeys - Developing and maintaining data transformation pipelines using dbt and Snowflake, ensuring data quality, lineage, and transparency. - Harmonizing multimodal data from multiple health systems into a unified ontological layer ready for use by data scientists and AI developers, with input from clinical experts across the company. - Performing complex data extraction, manipulation, and summarization of large databases to create analytical data models; - Implementing data quality tests, CI/CD and version control best practices for analytics codebases throughout the data modeling pipeline. - Supporting software engineers in optimizing processes and technical solutions for de-identification and ETL of clinical data from disparate health system cloud environments to Dandelion Health’s data warehouse. - Working with experts in natural language processing (NLP) to structure and model discrete clinical concepts data that have been abstracted from unstructured and semi-structured text data. - Collaborating with technical and clinical subject matter experts and Dandelion customers to translate research and model requirements into engineering solutions. You are not afraid to dig into massive, confusing, disorganized new datasets and get them under control. You are excited to learn new environments, languages, and skills. This is a small, early stage company with enormous ambitions and everyone pitches in across the team. Qualifications Required - Bachelor’s degree in a quantitative field (ex. Data Science, Biomedical Informatics, Computer Science, Biostatistics) - 3+ years of experience in analytics or data engineering roles where you are responsible for hands-on cleaning and structuring clinical and electronic health record data - Strong dbt and SQL proficiency: writing reusable Jinja macros, implementing custom tests, and comfortable with multi-environment deployments (dev/staging/prod) - 1+ years of experience with extracting, curating, and analyzing data created within the HIT and healthcare delivery ecosystem (e.g., EMR, claims, registry); this may include knowledge of the roles of data exchange and content standards (e.g., FHIR, CDA, CQL) and clinical terminology standards (e.g., ICD, CPT, LOINC, SNOMED-CT, NDC, RxNorm) - Comfort working in a cloud environment (ideally Snowflake and/or AWS). - Proficiency with Git and version control workflows - Is an advocate for bringing software engineering best practices (modularity, unit testing, concise and well-documented code) to a data science team. - Comfortable with ambiguity and creative problem-solving in a fast-paced, rapidly growing startup environment. - Excellent communication skills to advocate for the value of robust analytics engineering solutions and translate customer needs into data solutions. - Passion for improving healthcare and building infrastructure that makes research and clinical AI safer, faster, and more reliable. Nice to Have - Practical experience integrating LLM tools (e.g., Snowflake Cortex, Amazon Bedrock, Azure OpenAI Service) and frameworks (RAG, agent workflows) into data pipelines and product - Proficiency in Python for data cleaning and model feature engineering. - Experience working with AI/ML modeling teams and a conceptual grasp of cloud model deployments and evaluation. - Familiarity with the data aspects of electronic medical records, ex. Epic, Cerner, Allscripts - Any medical ontology experience - Any experience working with DICOM or other imaging modalities - Experience with OMOP common data model - Comfortable with agile tools such as Jira, Linear. - Familiarity using dbt cloud Nature of our work Our work is fast paced and iterative. We are growing, and we want to support our team members to grow in their skills as well. We are building a team that approaches problems with a diversity of perspectives, values experimentation, and refining our approach based on that experimentation. We work with the full spectrum of healthcare data from tabular data, videos, images, waveforms, etc. If a health system collects it, we might work with it! If this looks like a partial fit, please reach out, we would love to share more about the work we do for you to understand if it would be a good fit for you. There is occasional travel for in-person company working days on roughly a quarterly basis. Team Benefits - Remote work and flexible hours. Availability needed for meetings, which we try to keep to a healthy minimum - Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more. Ask for details - Professional development days to build your skills - Collegial work environment - Academic bent towards inquiry and problem solving but start-up speed and flexibility - Great balance of focus time to work on projects but easy to access team members to discuss issues and work collaboratively - Dandelion is a mission-driven company that is focused on improving patient care

Location: Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of this role We are seeking a Staff Product Manager to serve as an internal PM embedded within this team. This is not a traditional external-facing product role—it is an internal platform product leadership position. You will own the roadmap for our enterprise systems, act as the strategic voice of the business within engineering, and bring senior product craft to a team of Analysts and engineers who build and operate GitLab's revenue infrastructure. This role is ideal for a seasoned product leader who has deep Quote-to-Cash or Finance domain knowledge, thrives at the intersection of business strategy and technical execution, and is energized by mentoring high-performing teams through complex, multi-program environments. What You’ll Do Internal Product Roadmap Ownership Define, own, and maintain the multi-quarter internal product roadmap for QTC and Finance Systems, covering Salesforce CPQ, Zuora Billing, Zuora Revenue, NetSuite, and the CDot metering platform. Translate business strategy from Finance, Revenue Operations, Deal Desk, and Sales into sequenced, prioritized system capabilities with clear outcomes and success metrics. Balance competing program demands—stabilization, net-new capability delivery, and technical debt reduction—with transparent trade-off frameworks. Drive quarterly and annual planning ceremonies, partnering with Engineering Managers and Business Systems Analysts to align capacity with roadmap commitments. Stakeholder Partnership & Requirements Translation Serve as the primary internal product voice for all QTC and Finance Systems initiatives, partnering closely with Finance, Accounting, Revenue Operations, Deal Desk, and Legal. Lead discovery, requirements workshops, and business process design sessions to translate complex financial and commercial requirements into actionable system specifications. Own the decision layer between "what the business needs" and "what engineering builds," resolving ambiguity with structured frameworks and documented decisions. Navigate cross-functional stakeholder dynamics including SOX compliance, audit controls, and revenue recognition governance (ASC 606/IFRS 15). Team Mentorship & Capability Building Act as a product craft mentor and senior thought partner for the BSA team, actively upskilling analysts in product thinking, requirements structuring, acceptance criteria definition, and roadmap communication. Model and instill product management best practices—user story writing, prioritization frameworks (e.g., RICE, MoSCoW), sprint review discipline, and outcome tracking—across the team. Partner with leadership to evolve the operating model of the team from project-execution-focused to product-thinking-led, raising the bar for how ETA delivers business value. Provide structured feedback and growth coaching to BSAs on career development, helping analysts grow toward senior and lead levels. Program Strategy & Delivery Oversight Lead product strategy for major multi-quarter programs (e.g., consumption-based billing iterations, CLM/Order Forms, Zuora Product Catalog refactors, ERP optimization) from discovery through go-live. Define and maintain program-level dependency maps across concurrent workstreams, surfacing risks early and driving cross-team resolution. Own UAT strategy and acceptance criteria in collaboration with BSAs, ensuring system changes meet business requirements before production release. Support post-launch stabilization and continuous improvement cycles, prioritizing defect resolution and incremental enhancements based on business impact. Systems Architecture Collaboration Partner with Enterprise Architects and Engineering Managers to evaluate build-vs-buy-vs-configure decisions for new capabilities. Bring informed opinions on QTC platform architecture trade-offs (e.g., billing model design, middleware integration patterns, revenue recognition rule configuration) based on deep domain knowledge. Stay current on platform roadmaps for Salesforce, Zuora, and NetSuite, identifying opportunities to leverage native capabilities before custom builds. What You’ll Bring 8+ years of product management experience, with at least 3 years in an internal platform PM, enterprise applications PM, or systems product leadership role. Deep domain expertise in Quote-to-Cash systems: Salesforce CPQ, Zuora Billing, Zuora Revenue, and NetSuite ERP are the core stack—hands-on configuration or implementation experience strongly preferred. Demonstrated ability to own and communicate multi-quarter internal product roadmaps to senior business and technology stakeholders. Strong command of revenue lifecycle processes: opportunity-to-quote, order management, billing and collections, revenue recognition (ASC 606), and financial close. Experience operating in a SOX-controlled environment with an understanding of audit trails, approval workflows, and change management requirements for financial systems. Track record of successfully running complex, multi-program delivery environments with competing priorities and shared engineering resources. Sufficient technical fluency to engage meaningfully with engineering on API design, data model decisions, and integration trade-offs—without needing to write code. Experience with consumption-based or usage-based billing models About the team You'll be joining the Revenue Lifecycle & Finance Systems team within GitLab's Enterprise Technology Architecture organization. Our team is responsible for the systems and processes that power GitLab's entire revenue lifecycle—from configure-price-quote through contract execution, billing, revenue recognition, and financial close. We are in an exciting and demanding phase: transitioning GitLab's go-to-market from a pure subscription model toward consumption-based offerings while simultaneously modernizing our core platforms. This role will be central to shaping how that evolution happens—and how the team grows in capability and product maturity alongside it. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $235,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. We are looking for a Backend Team Lead for our ML development team focused on building and delivering production-grade ML-powered applications . This role is not about research or experimentation. You will be responsible for turning ML models into reliable, scalable, user-facing services . You will work at the intersection of machine learning and backend engineering , owning the full lifecycle of ML-powered features — from integration to deployment and operation in production. Job Responsibilities Design and build production ML services (APIs, microservices, real-time systems) Lead and grow a team of backend engineers : plan work, mentor team members, conduct code reviews, provide technical guidance, and foster engineering excellence. Drive architectural decisions and ensure the scalability, reliability, and maintainability of ML services. Integrate ML models into user-facing applications Ensure reliability, scalability, and performance of ML-powered systems Define and implement best practices for serving, versioning, and monitoring models in production Collaborate closely with: ML engineers / data scientists (who develop models) DevOps / MLOps team (who provide platform and infrastructure) Own the delivery pipeline of ML features into production Lead and mentor engineers working on ML-powered applications Drive architectural decisions around low-latency and high-load systems Identify bottlenecks between experimentation and production and eliminate them You’ll thrive here if you have 5+ years of experience in backend/software engineering in a Lead or Senior role (mentoring, ownership, decision-making). Strong commercial Python experience. Managerial experience leading an engineering team. Experience designing and building production backend systems and microservice architecture. Strong understanding of system design, scalability and high-load systems. Experience developing APIs (FastAPI, Flask, gRPC or similar). Hands-on experience with code reviews, mentoring and technical decision-making. Ability to drive cross-team collaboration and own complex technical integrations. That can be a plus: Experience with real-time ML systems (recommendations, ranking, personalization) Experience in video streaming or high-throughput platforms Familiarity with Kubernetes and cloud/on-prem environments Experience with feature stores, model monitoring, A/B testing Experience working alongside MLOps platforms (MLflow, Airflow, etc.) Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Interview steps: 1. HR Interview (45 min) 2. Technical Interview (90 min) 3. Live code-review interview (90 min) 4. Final interview with the team (60 min)

Location: North Macedonia; Serbia; South Africa; Poland; Morocco; Philippines About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor Location: Remote, About the company Our client is a fast-growing FinTech startup revolutionizing the investment landscape by bridging the gap between sophisticated financial data and artificial intelligence. They have developed a comprehensive research stack that unifies real-time market data across thirteen asset classes—including stocks, crypto, options, and macroeconomics—into a single, AI-native ecosystem. By providing institutional-grade tools like backtesting engines and congressional trade trackers at a fraction of traditional costs, the team empowers retail and professional traders worldwide to make data-backed decisions with speed and conviction. Job Summary This is a high-impact opportunity to join a stealth-stage FinTech startup at the intersection of Generative AI and global finance. The team is building cutting-edge tools that connect Large Language Models (LLMs) to live financial data, providing research terminals and APIs for sophisticated trading firms. We are looking for a tenacious, finance-savvy SDR to drive our outbound engine. You will be the first point of contact for institutional prospects, playing a critical role in scaling our revenue and defining our market presence. Key Responsibilities Execute high-volume outbound prospecting, including approximately 100 cold calls per day. Qualify leads and secure a target of 20+ meetings per month with key decision-makers in the trading and investing sectors. Manage the top-of-funnel pipeline to contribute to a consistent flow of closed deals. Articulate the value of technical financial products, LLM integrations, and APIs to sophisticated market participants. Maintain rigorous CRM hygiene and track all outreach activity via Smartleads and Microsoft Teams. Partner with leadership to refine sales messaging and objection-handling strategies based on real-time market feedback. Requirements 1-4 years of experience in an SDR, cold calling, or outbound sales role, preferably within a SaaS environment. A deep interest in or professional knowledge of trading, investing, and financial markets. Proven resilience and the ability to handle the high-rejection environment of outbound sales. Exceptional verbal and written communication skills in English. A self-starter mindset with the ability to operate independently in a fast-paced, remote startup environment. Strong sales acumen and a focus on revenue generation. Nice-to-Haves Direct experience selling technical products, data-driven tools, or financial APIs. Previous experience in a FinTech or trading-focused startup. Proficiency with outbound automation tools and modern CRM systems. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 🎯 Performance-based bonuses and incentives 🧠 Ongoing training, mentorship, and sales development support

Location: Philippines; South Africa; Ethiopia; Egypt; Morocco; Pakistan About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor Location: Remote, About the company Our client is a fast-growing FinTech startup revolutionizing the investment landscape by bridging the gap between sophisticated financial data and artificial intelligence. They have developed a comprehensive research stack that unifies real-time market data across thirteen asset classes—including stocks, crypto, options, and macroeconomics—into a single, AI-native ecosystem. By providing institutional-grade tools like backtesting engines and congressional trade trackers at a fraction of traditional costs, the team empowers retail and professional traders worldwide to make data-backed decisions with speed and conviction. Job Summary As a Sales Development Representative at this stealth-stage FinTech startup, you will be at the forefront of the intersection between Large Language Models (LLMs) and live financial markets. We are building the next generation of research terminals, financial APIs, and trading tools. We are looking for a high-energy, resilient hunter who is passionate about the financial markets and eager to drive revenue growth. This is a high-impact role where your outreach directly shapes the company's trajectory and provides a clear path for professional and financial advancement. Key Responsibilities Execute high-volume outbound prospecting campaigns, targeting approximately 100 cold calls per day. Identify, qualify, and engage key decision-makers within the trading, investing, and financial services sectors. Consistently book and manage approximately 20 qualified meetings per month to ensure a robust sales pipeline. Contribute to overall revenue generation with a target of supporting 4 closed deals per month. Maintain meticulous CRM hygiene and track all outreach activity within Smartleads and Microsoft Teams. Collaborate closely with leadership to refine sales messaging and optimize outreach strategies for technical financial products. Requirements 1-4 years of proven experience in an SDR, cold calling, or outbound sales role. A strong professional background in FinTech, financial services or financial investments. Demonstrable interest in or professional knowledge of trading, investing, and financial markets. Exceptional communication skills in English, with the ability to handle complex objections confidently. A high-volume mindset: you are energized by the "hustle" and comfortable with rigorous daily call targets. Self-motivated and capable of working independently in a remote, fast-paced startup environment. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 🎯 Performance-based bonuses and incentives 🧠 Ongoing training, mentorship, and sales development support

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Product Manager for Vault at Harvey, you will own and drive the product vision, strategy, and execution for our document and knowledge management platform-a critical foundation that powers how legal professionals interact with Harvey's AI capabilities. Vault enables law firms and enterprise clients to securely store, organize, search, and leverage their documents and institutional knowledge within Harvey's AI-powered ecosystem. You will lead cross-functional teams to build and scale Vault's capabilities, including file management, AI-enabled search and Q&A, document extraction, secure sharing across workspaces, and seamless integrations with enterprise document management systems like iManage, SharePoint, and Dropbox. This is a high-impact, high-visibility role where you'll directly shape how the world's leading law firms and enterprises organize and unlock value from their most sensitive documents. WHAT YOU'LL DO - Define and own the Vault product vision and roadmap: Develop a compelling product strategy that aligns with Harvey's mission to transform legal and professional services through AI, balancing near-term customer needs with long-term platform investments. - Drive end-to-end product development: Lead cross-functional teams including engineering, design, AI/ML, and go-to-market to ship high-quality features from ideation through launch and iteration. - Partner deeply with engineering: Work closely with engineering leadership to make technical and architectural decisions, dive deep into complex problems, and ensure we're building scalable, secure, and performant systems. - Understand and champion customer needs: Collaborate with Customer Success, Sales, and Legal Product Specialists to deeply understand how law firms and enterprise clients use Vault, identify adoption barriers, and translate insights into product improvements. - Own enterprise integrations strategy: Drive the vision for how Vault integrates with document management systems (iManage, SharePoint, Dropbox, Box) and other enterprise tools, ensuring seamless workflows for customers. - Define and track success metrics: Establish KPIs for Vault adoption, engagement, and value realization; use data to inform product decisions and demonstrate customer impact. - Collaborate cross-functionally: Partner with Product Marketing, Partnerships, and Admin/Governance teams to ensure successful product launches, effective positioning, and alignment with broader platform capabilities. - Contribute to Harvey's product culture: Mentor other product managers, share learnings, and help establish best practices as the product organization scales. WHAT YOU HAVE Must-Have Qualifications: - 8+ years of product management experience, with at least 3 years at a Staff or Senior PM level at a high-growth technology company. - Proven track record of owning and scaling complex platform or infrastructure products, ideally in enterprise SaaS, document management, knowledge management, or data-intensive domains. - Strong technical acumen with the ability to engage deeply with engineering on system design, distributed systems, data pipelines, and retrieval architectures. - Experience building products that handle sensitive data with robust security, compliance, and access control requirements. - Excellent communication skills with the ability to influence stakeholders at various levels, from engineers to executives. - Demonstrated ability to thrive in ambiguous, fast-paced environments and drive clarity through complexity. - Strong product sense and attention to detail-ability to think through both high-level strategy and nitty-gritty implementation details. Preferred Qualifications: - Experience with AI/ML-powered products, semantic search, retrieval systems, or document processing pipelines. - Background in legal technology, professional services, or deep understanding of law firm workflows and enterprise legal operations. - Experience with enterprise integrations (APIs, authentication frameworks like SSO/SCIM/OAuth, third-party DMS platforms). - Prior experience at a company during a high-growth stage (Series B through IPO). COMPENSATION $177,700 - $266,500 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-ML1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Product Manager for Vault at Harvey, you will own and drive the product vision, strategy, and execution for our document and knowledge management platform-a critical foundation that powers how legal professionals interact with Harvey's AI capabilities. Vault enables law firms and enterprise clients to securely store, organize, search, and leverage their documents and institutional knowledge within Harvey's AI-powered ecosystem. You will lead cross-functional teams to build and scale Vault's capabilities, including file management, AI-enabled search and Q&A, document extraction, secure sharing across workspaces, and seamless integrations with enterprise document management systems like iManage, SharePoint, and Dropbox. This is a high-impact, high-visibility role where you'll directly shape how the world's leading law firms and enterprises organize and unlock value from their most sensitive documents. WHAT YOU'LL DO - Define and own the Vault product vision and roadmap: Develop a compelling product strategy that aligns with Harvey's mission to transform legal and professional services through AI, balancing near-term customer needs with long-term platform investments. - Drive end-to-end product development: Lead cross-functional teams including engineering, design, AI/ML, and go-to-market to ship high-quality features from ideation through launch and iteration. - Partner deeply with engineering: Work closely with engineering leadership to make technical and architectural decisions, dive deep into complex problems, and ensure we're building scalable, secure, and performant systems. - Understand and champion customer needs: Collaborate with Customer Success, Sales, and Legal Product Specialists to deeply understand how law firms and enterprise clients use Vault, identify adoption barriers, and translate insights into product improvements. - Own enterprise integrations strategy: Drive the vision for how Vault integrates with document management systems (iManage, SharePoint, Dropbox, Box) and other enterprise tools, ensuring seamless workflows for customers. - Define and track success metrics: Establish KPIs for Vault adoption, engagement, and value realization; use data to inform product decisions and demonstrate customer impact. - Collaborate cross-functionally: Partner with Product Marketing, Partnerships, and Admin/Governance teams to ensure successful product launches, effective positioning, and alignment with broader platform capabilities. - Contribute to Harvey's product culture: Mentor other product managers, share learnings, and help establish best practices as the product organization scales. WHAT YOU HAVE Must-Have Qualifications: - 8+ years of product management experience, with at least 3 years at a Staff or Senior PM level at a high-growth technology company. - Proven track record of owning and scaling complex platform or infrastructure products, ideally in enterprise SaaS, document management, knowledge management, or data-intensive domains. - Strong technical acumen with the ability to engage deeply with engineering on system design, distributed systems, data pipelines, and retrieval architectures. - Experience building products that handle sensitive data with robust security, compliance, and access control requirements. - Excellent communication skills with the ability to influence stakeholders at various levels, from engineers to executives. - Demonstrated ability to thrive in ambiguous, fast-paced environments and drive clarity through complexity. - Strong product sense and attention to detail-ability to think through both high-level strategy and nitty-gritty implementation details. Preferred Qualifications: - Experience with AI/ML-powered products, semantic search, retrieval systems, or document processing pipelines. - Background in legal technology, professional services, or deep understanding of law firm workflows and enterprise legal operations. - Experience with enterprise integrations (APIs, authentication frameworks like SSO/SCIM/OAuth, third-party DMS platforms). - Prior experience at a company during a high-growth stage (Series B through IPO). COMPENSATION $177,700 - $266,500 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-ML1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote, Canada; Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role GitLab is building the most comprehensive AI-powered DevSecOps platform, and this role will help shape how teams move from planning to code in an AI-native software development lifecycle. As Senior Product Manager, Source Code, you'll shape how planning and managing source code will evolve in an AI-native software development lifecycle. This role is focused on bringing planning and code closer together, so teams can move from requirements and specifications to commits, merge requests, and customer value with speed and quality. This area is evolving quickly. We're exploring how AI agents can use specifications, context, and human feedback to build the right thing, not just build the thing right. You'll define new product experiences for spec-driven, human-in-the loop development: how the link between planning intent and the code that implements it gets created, stays accurate as both change, and gets used at review time. The hard part is that this link decays. Code moves, specs might not follow, you will define how to make that connection self-maintaining. This is an ambiguous, high-impact opportunity for a product manager who has strong software development lifecycle knowledge, is comfortable working with technical teams, and wants to help create something new in DevSecOps. What You’ll Do Define and drive product strategy for experiences that connect planning, source code management, and AI-assisted development. Shape workflows where teams and agents move between intent and code in both directions, so a specification can be traced to the merges that implement it and a diff can be read and reviewed against the intent behind it. Work with engineering, design, and other product teams to build product experiences that support human-in-the-loop and autonomous development workflows. Partner with teams working on demos and prototypes, including near-term work around spec-driven planning and autonomous development modes, including which decisions stay with a human and why. Use customer insights, product usage data, and market context to identify opportunities that can deliver customer value quickly. Help teams ship fast with quality, balancing near-term execution with longer-term product direction. Explore how planning can better account for reviewing code, reviewing test cases, and validating that work produced by agents matches the intended outcome. Collaborate across Plan, Source Code Management, Code Review, and AI product areas to reduce friction across the software development lifecycle. What You’ll Bring Experience as a product manager working on developer tools, DevOps tools, source code management, planning tools, AI-native products, or related software development lifecycle products. Direct, hands-on experience with the source code lifecycle, including branches, merge requests, code review, CI/CD, and releases, whether as a product manager or as an engineer, along with a strong understanding of how software moves from ideas and requirements through planning, coding, review, testing, and delivery. Experience working with technical product areas and engineering teams, with enough technical depth to understand developer workflows and tradeoffs. A data-forward approach to product management, including experience using data to identify customer impact and guide prioritization. Comfort operating in ambiguous spaces where there may not yet be a clear market pattern or established product category. Experience building or shipping with AI tools and agents, not just using them, and a point of view of your own on where AI helps and where it does not across the software development lifecycle. Ability to think creatively about how AI changes the software development lifecycle and how product experiences should adapt. Strong collaboration and communication skills, especially in an all-remote, asynchronous environment. A bias toward action and the ability to help teams ship meaningful customer value quickly. About the team This role sits within the Product organization and will work closely with teams across Plan, Source Code Management, Code Review, and AI. We are focused on helping GitLab customers plan, build, and deliver software in a faster, more connected way. You'll join a group that is rethinking how planning and coding should work as AI changes the speed and shape of software development. Rather than treating planning, coding, and review as separate stages, we're exploring how to bring these workflows closer together so humans and agents can collaborate more effectively. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! WHY BOX NEEDS YOU The Caching Team provides a performant, highly-available, and scalable caching platform for use throughout the Box platform. We serve as the caching layer within our core relational data tier processing tens of millions of requests per second, while also powering numerous critical, high-throughput, and low-latency workflows. Our goal is to provide easy-to-use solutions to the complex challenges of serving heavy load with strict consistency and high performance requirements, so that developers across Box can focus on shipping their business requirements. Looking ahead, Box’s ever-growing usage means that we have to be ready to process higher scale than ever before, and continue to do so with the enterprise-grade reliability that our customers expect. You will have a unique opportunity to help design and build our next-gen caching architecture, owning critical initiatives that improve the performance, scale, and reliability of our services. You will also partner with engineering teams across the organization to understand their needs and drive architectural improvements towards the usability and impact of our platform. As a member of this mission-critical engineering team, your work will have significant impact on engineering at Box and our 40+ million users. WHAT YOU'LL DO Contribute to the future of Box’s Caching architecture as we migrate our Memcached and Redis fleets to the next-generation of caching solutions. Develop solutions to the scale, performance, and resilience challenges involved with protecting an exponentially growing data tier serving tens of millions of requests per second. Partner with client teams to understand their traffic patterns and provide guidance on effective caching strategies. Deliver high technical excellence in operating our production-critical services and identify opportunities to continually improve their reliability. Collaborate with team members on technical design and architecture decisions to help shape the team’s technical direction. Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise. WHO YOU ARE Bachelor's degree or equivalent in Computer Science, Mathematics or a related field 3+ years of professional software development experience Strong understanding of common algorithms, data structures, and code design principles Strong grasp of high-scale distributed systems Preferred skills Experience with JVM-based languages such as Java and Scala Familiarity with caching solutions such as Memcached and Redis Passionate about scale and performance challenges For more insight into Box's data tier, please see the following: Medium Blog: Strategies used at Box to protect MySQL at scale Medium Blog: Cache is the root of all evil Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $165,000 — $206,500 USD

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE  OVERVIEW As a Mid Market Account Executive at Harvey, you will drive the growth and success of our AI solutions within the legal and professional services markets. You will be responsible for establishing and growing relationships with mid-sized law firms and corporate and financial services clients, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost productivity. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work. WHAT YOU'LL DO - Own your book of business by managing a named account list, prioritizing and cultivating inbound leads, and outbounding directly to high-potential prospects. - Manage the full customer lifecycle from prospecting to contracting, onboarding, growing, and renewals. - Achieve and exceed revenue targets and other key sales metrics. - Build strong relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs. - Conduct high velocity, tailored client evaluations, including product demonstrations and presentations, showcasing the power of Harvey's AI systems to prospects and clients. - Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals. - Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts. - Travel may be required from time to time, including visits to customer office locations and company offices. WHAT YOU HAVE  - Proven track record of selling complex software solutions, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology.  - Excited about prospecting, and capable of independently leading a sales cycle from start to finish. - Ability to independently manage a pipeline, accurately forecast key sales performance metrics, and consistently maintain CRM hygiene. - Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences. - Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work. Interest in the legal profession and helping lawyers do their jobs better and more efficiently.  - Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals. - Energized by contributing to the development of our team, sales processes, and culture, refining the value proposition of our solutions and creating sales resources to drive our success. - Experience working in or adjacent to the Legal industry a plus but not required. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-KS1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Barcelona, Spain; Budapest, Hungary; Düsseldorf, Germany; Frankfurt, Germany; Krakow, Poland; Krosno, Poland; Liège, Belgium; Lille, France; Vilnius, Lithuania; Ljubljana, Slovenia; Lublin, Poland; Lyon, France; Madrid, Spain; Città Vittoriosa, Malta; Podgorica, Montenegro; Poland; Sarajevo, Bosnia and Herzegovina; Banská Bystrica, Slovakia; Sofia, Bulgaria; Stuttgart, Germany; Tenerife, Spain; Wien, Austria; Warsaw, Poland; Zagreb, Croatia; Zürich, Switzerland; Petten, Netherlands; Aachen, Germany; Athens, Greece; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Berlin, Germany; Bolzano, Italy; Bordeaux, France; Bratislava, Slovakia; Bromolla, Sweden; Brussels, Belgium; Bucuresti, Romania; Bucharest, Romania; Buenos Aires, Argentina; Dusseldorf, Germany; Hamburg, Germany; Hannover, Germany; Luxembourg; Amsterdam, Netherlands; Pondicherry, India; Ahmedabad, India; Berat, Albania; Delhi, India; Dnipro, Ukraine; Helsinki, Finland; Bangalore, India Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Formal Verification (FV) Engineer to join one of our clients' teams. Reporting directly to the Vector Unit Verification Lead, this is a highly technical Individual Contributor (IC) role. In this position, you will be the dedicated formal expert for the VU team, responsible for designing scalable formal testbenches, writing mathematical properties, and ensuring the absolute algorithmic and architectural integrity of our vector pipeline. You will work side-by-side with VU microarchitects to hunt down deep corner-case bugs and achieve formal sign-off on high-complexity arithmetic and execution blocks. Key Responsibilities Block-Level Execution & Convergence Engineering (90%) End-to-End Testbench Ownership: Design, deploy, and maintain robust formal verification environments for complex Vector Unit sub-blocks (e.g., Vector Execution Pipelines, Vector Register File/Rename interfaces, and Vector Floating-Point Units). Datapath & Arithmetic Verification: Implement advanced word-level modeling, bit-blasting, and algebraic rewriting strategies to verify complex IEEE-754 floating-point and integer vector arithmetic units. Proof Convergence Management: Independently diagnose and resolve proof-convergence failures, over-constraints, and state-space explosions using advanced reduction techniques (e.g., case-splitting, black-boxing, and abstraction modeling). RISC-V Vector Compliance: Develop formal environments to mathematically prove that the VU pipeline strictly complies with the RISC-V Vector (V) Extension specification. Simulation Partnership: Collaborate closely with VU simulation engineers to define a razor-sharp boundary between simulation and formal verification, ensuring maximum bug-hunting efficiency and zero coverage gaps. Embedded Mentorship & Best Practices (10%) Formal-Friendly Design: Partner with VU microarchitects during early-stage RTL development to drive formal-friendly coding styles and structural design patterns. SVA Propagation: Review and refine SystemVerilog Assertions (SVA) written by design and simulation peers, establishing best practices for block-level assertions within the VU team. Education: B.S./M.S. in Computer Engineering, Electrical Engineering, or Computer Science with practical industry execution; or a Ph.D. with a research focus on formal methods or computer arithmetic. Experience: 5+ years of production-grade hardware verification experience (or Ph.D. + 1–3 years) with a strong, proven track record of applying formal verification to CPU, GPU, or DSP execution pipelines. Collaboration Style: A self-driven engineer who enjoys deep mathematical puzzles, collaborates seamlessly within a localized block-level team, and can translate complex proof counter-examples into actionable bugs for designers. Datapath Validation Focus: Strong specialization in arithmetic formal verification, algebraic rewriting, and word-level modeling. Familiarity with control-path formal techniques (liveness, safety properties) is highly welcome. Vector Microarchitecture: Good working knowledge of high-width execution pipelines, vector execution units, or floating-point/integer arithmetic hardware. Experience with Out-of-Order execution mechanics is a plus. Formal Tools: Proficient command of commercial EDA formal tools (e.g., Cadence JasperGold/DPV, Synopsys VC Formal, Siemens OneSpin) and their specialized mathematical/datapath apps. Languages: Native fluency in SystemVerilog and SystemVerilog Assertions (SVA). Scripting proficiency (Python, Tcl, or Bash) for testbench automation. Nice to Have RISC-V Core Verification. RISC-V Ecosystem: Familiarity with the RISC-V Architecture, specifically the Vector (V) and Floating-Point (F/D) extension ecosystems. Emulation platforms (Veloce, ZeBu). Core/Bus interface protocols (e.g., AXI/CHI).

Location: New York City, New York, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role We are looking for a Senior Software Engineer to design and build the billing platform behind a novel search engine tailored for agentic AI consumption. This role is based in our New York office, hybrid with the NYC team. Our APIs are used by millions of developers and the AI agents acting on their behalf, all paying based on what they consume. You will own the systems that turn product usage into accurate, trustworthy revenue, supporting flexible billing models—usage-based pricing, subscriptions, prepaid balances with auto top-up, and enterprise contracts. Correctness is non-negotiable: every event must be measured precisely and every invoice must be right to the cent. ‌ In this position, your responsibility will be to: Design and operate the billing platform end to end, from usage events to invoices Build metering and usage-aggregation pipelines that turn high-volume events into billable amounts Design and operate prepaid credit/wallet systems with auto top-up and balance management Support enterprise/contract billing with custom pricing, negotiated terms, and scheduled invoicing Build reconciliation, idempotency, and invoice-accuracy safeguards to ensure revenue data is always correct Lead the migration to the next generation of our billing system with no revenue loss or downtime Define observability and quality metrics for billing correctness, freshness, and throughput Ensure billing systems meet audit and compliance requirements ( SOX , financial audit) ‌ What we're looking for : 6+ years building production backend systems, of which 3+ years actively building and operating billing or metering systems in production Hands-on experience with usage-based / metered billing: rating, aggregation, and proration logic Hands-on experience with subscription / recurring billing alongside usage-based models Hands-on experience with prepaid credits / wallet systems and auto top-up mechanics Hands-on experience with enterprise / contract billing: custom pricing and negotiated terms End-to-end integration of a third-party billing platform (Stripe Billing, Metronome, Orb, or Zuora) Strong expertise in Python and TypeScript/Node (Go a plus) Production experience with transactional databases (Postgres or equivalent) for financial-grade data Built high-volume event / usage pipelines into a data warehouse (Kafka or Kinesis → Snowflake or BigQuery) Owned billing correctness in production: reconciliation, idempotency, invoice accuracy Product-Led Growth (PLG) experience: worked on billing for high-volume, self-serve users Hands-on with Auth0, Okta, or similar identity systems in production Shipped revenue systems under SOX or financial audit constraints Nice to have: Led a billing system migration or re-platform with zero revenue loss or downtime Built hybrid billing combining usage, subscriptions, and prepaid in one system Worked across both a payments layer (Stripe) and a metering / rating layer (Metronome / Orb) Billed a developer-facing / API product with pay-as-you-go and API-key metering Used Snowflake for usage aggregation and revenue analytics Why Tavily ? Full ownership — small team, you own the entire infrastructure, not a slice of it Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests AI-native company — your infra directly powers AI agents used by leading companies in the space. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $224,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.