Data Analytics Engineer Jobs

A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our technology group is constantly improving our company’s technology infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. The Back Office Technology Team supports trade processing, position keeping, clearing/settlement, fund accounting, trade reconciliation and prime broker integrations. The team partners with Middle and Back Office business users to customize and implement solutions supporting trade processing and new business developments. WHAT YOU’LL DO We are looking for an experienced professional to work as part of the Back Office Technology team. In addition to tactical development, you will be responsible for delivering and creating programs to modernize and scale the platform through technology upgrades, cloud technology adoption, and re-architecting business processes. You will work in the Back Office Technology team with world class engineers, developing high-capacity integrations and development capabilities with in-house and vendor build applications, implementing new financial products, managing internal and prime broker data, and developing the data warehouse of the future to support growing business. This position assumes close interaction with business and opportunity to build a high-demanding domain knowledge in post-trade flow. Build software applications and deliver software enhancements and projects supporting fund accounting and trade processing technology. Work closely with business stakeholders to develop software solutions using test-driven and agile software development methodologies. Be responsible for system upgrades and features supporting resiliency and capacity improvements, automation and controls, and integration with internal and external ven

Position Overview: The Director, Product Marketing will own the end-to-end go-to-market strategy for Diligent Boards , driving positioning, messaging, product launches, market intelligence, sales enablement, pricing and packaging, and customer adoption across key segments and regions. We are looking for a strategic B2B SaaS product marketer with strong technical aptitude who can translate complex technology into compelling customer value. The ideal candidate has experience in a SAAS technology company. Exposure to product-led growth (PLG) is highly valuable. You will partner closely with Product, Engineering, AI/Data, Sales, Marketing, Customer Success, Enablement, Finance, and senior leadership to identify market opportunities, influence product strategy, and bring differentiated technology solutions to market. This is a high-impact role requiring someone who can move seamlessly between technical product detail, customer insights, commercial strategy, and compelling storytelling . Key Responsibilities: Go-to-Market & Product Strategy Own end-to-end GTM strategies for Diligent Boards across key customer segments and regions. Develop differentiated positioning, messaging, value propositions, and launch strategies based on customer, market, and competitive insights. Partner with Product and Engineering to understand product roadmaps, technical capabilities, integrations, data, AI functionality, and translate these into compelling customer benefits. Identify opportunities to improve product-market fit, adoption, expansion, and revenue growth. AI & Technical Product Marketing Develop GTM strategies for AI-powered products and capabilities , translating AI/GenAI functionality into clear business value and differentiated market positioning. Build sufficient technical depth to

Agents have changed the game for software delivery and efficacy. Diligent is the leading GRC platform in the world, and we are racing ahead to take the agents show on the road and work with the customers where they work . The FDE function will lead the change on how we embed AI agents into some of the world’s most complex governance, risk and compliance environments. This is not a support or consultancy role. It is a builder role, for someone who is equally comfortable reading a failing agent trace, running a discovery workshop with a bank’s internal audit team, and translating what they find into a production-grade agentic solution. You will be building AI agents for GRC professionals , not assistants that surface suggestions, but agents that own complex, multi-step workflows end to end . Agents that customers can hand a task to and trust it will come back done. Closing the gap between a promising prototype and something a company Board and ELT depends on is a completely . Here’s a breakdown of what you’ll do Embed directly with major enterprise customers (global banks, regulated corporates) across EU and US ; sitting wi th internal audit teams, risk functions, compliance and governance professionals to understand their real workflows and devise agentic solutions to intelligently automate them creating tremendous efficacy and efficiencies for our customers. Run agent-focused discovery workshops, rapidly prototype agentic solutions, and test them with practitioners; distinguishing between workflows that need an agent and those that need a button. Source, integrate, and move data between enterprise systems as part of live customer implementations — understanding the real data landscape customers operate in and building reliable pipelines to support it . Take agents from prototype t

Position Overview: The Director, Product Marketing will own the end-to-end go-to-market strategy for Diligent Boards , driving positioning, messaging, product launches, market intelligence, sales enablement, pricing and packaging, and customer adoption across key segments and regions. We are looking for a strategic B2B SaaS product marketer with strong technical aptitude who can translate complex technology into compelling customer value. The ideal candidate has experience in a SAAS technology company. Exposure to product-led growth (PLG) is highly valuable. You will partner closely with Product, Engineering, AI/Data, Sales, Marketing, Customer Success, Enablement, Finance, and senior leadership to identify market opportunities, influence product strategy, and bring differentiated technology solutions to market. This is a high-impact role requiring someone who can move seamlessly between technical product detail, customer insights, commercial strategy, and compelling storytelling . Key Responsibilities: Go-to-Market & Product Strategy Own end-to-end GTM strategies for Diligent Boards across key customer segments and regions. Develop differentiated positioning, messaging, value propositions, and launch strategies based on customer, market, and competitive insights. Partner with Product and Engineering to understand product roadmaps, technical capabilities, integrations, data, AI functionality, and translate these into compelling customer benefits. Identify opportunities to improve product-market fit, adoption, expansion, and revenue growth. AI & Technical Product Marketing Develop GTM strategies for AI-powered products and capabilities , translating AI/GenAI functionality into clear business value and differentiated market positioning. Build sufficient technical depth to

Position Overview: We are seeking a Payroll Specialist to be responsible for handling all aspects of payroll processing across the entire organization, including Americas, EMEA, and APAC, in a fast-growing business. Strong experience managing UK payroll and knowledge of UK payroll legislation, tax, pensions, and compliance requirements is essential. The Global Payroll Specialist ensures that payroll transactions are well documented, executed appropriately, and completed on time. This role also supports the development of cost-effective and efficient payroll processes, including integrating newly acquired entities. Key Responsibilities Ensure on-time and accurate disbursement of all payroll transactions for Diligent’s employees for multiple international payrolls, while ensuring HR and Payroll records remain in synch. Work closely with Human Resources (HR) to facilitate and ensure accurate data entry of benefit, employee data, pay and other payroll changes into the payroll system. Creating and notating payroll journal entries in the general ledger (GL). Research and work with accounting to resolve payroll GL reconciliation exceptions to ensure proper recording of payroll transactions in the company’s ERP system. Review and audit timesheets and payroll reports, manage payroll cutoffs, and process payrolls timely and accurately. Assist in the maintenance of country specific payroll guidelines and applicable policies and procedures. Ensure all requests sent to the payroll department are resolved in a timely manner. Required Experience/Skills 3+ years of end-to-end payroll processing with global experience and management of third‑party international payroll providers. Experience with Workday Payroll is highly desirable, with the ability to navigate payroll processes, reporting, and employee data management effectively. General Ledger experience and a s

Position Overview The Small Business Account Manager is responsible for managing a portfolio of Small Business customer accounts, with a primary focus on customer retention, net dollar retention (NDR), renewals, cross-sell, and upsell. This role owns the end-to-end renewal process for approximately 70–90 customer accounts within the Small Business segment, defined as customers with $0–$100M in annual revenue. As the primary commercial point of contact for their assigned portfolio, the Small Business Account Manager partners closely with implementation, customer support, and specialist teams to drive customer adoption, maximize value, reduce churn, and identify opportunities for expansion. The ideal candidate is customer-focused, commercially driven, highly organized, and skilled at balancing relationship management with revenue growth. Key Responsibilities Manage a portfolio of approximately 70–90 Small Business customer accounts. Own the end-to-end renewal process, including renewal planning, forecasting, customer engagement, negotiation, and contract execution. Drive Net Dollar Retention (NDR) by identifying and executing cross-sell and upsell opportunities within the existing customer base. Build trusted relationships with key customer stakeholders to understand business objectives, product usage, risks, and growth opportunities. Partner with implementation, customer support, and subject matter experts to deliver a seamless customer experience throughout the customer lifecycle. Monitor account health, proactively identify churn risks, and develop action plans to improve customer outcomes and retention. Conduct regular business reviews focused on customer value, adoption, renewal readiness, and expansion opportunities. Maintain accurate account, pipeline, renewal, and forecast data within CRM systems. Collaborate cross-functionally to remove customer blockers and ensure timely resolution of issues. Meet or exceed renewal, retention, cross-sell, upsell, and revenue

Here’s a summary of the role: Diligent is seeking for a Delivery Analyst (Entities) to join our growing Professional Services team. We're looking for individuals who are passionate about technology and consistently exceeds client expectations, from meeting deadlines to delivering high-quality outcomes. In this role, you will be responsible for executing and delivering solutions in response to managed services requests from customers. As a subject matter expert in Diligent's solutions, you will collaborate closely with internal teams to ensure successful delivery and an exceptional client experience. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Deliver Professional Services over the course of the entire customer journey and/or product enablement lifecycle. Assist PS management, CS team, and other stakeholders (where relevant and appropriate. Example: Sales, PM, PMM or Marketing) in the different stages of the customer lifecycle. Leverage product expertise to provide guidance to customers on best practices regarding solution rollout and project execution. Continue to develop and maintain Domain and Product expertise to provide guidance to customers on best practices for solution rollout and project execution through continuous learning and personal development. Build confidence to lead the implementation process end-to-end independently including engagement with the customer. Work with clients to understand their program goals and how they collect/process data. Support the assessment of source data and document structures, including metadata, naming conventions, relationships, and access requirements, to help define migration scope and mapping needs. Prepare and cleanse data and documents for migration by assisting with deduplication, metadata normalization, validation, and identificati

You will own the roadmap for a core part of Diligent’s governance, risk and compliance SaaS platform, shaping how senior leaders and boards collaborate, communicate and make decisions in a secure, modern way. You’ll turn customer problems and market insights into simple, impactful product experiences, and work closely with engineering, design, and go ‑ to ‑ market teams to bring them to life. In this Senior Product Manager role, you’ll spend your time deeply understanding customer needs, prioritising what truly moves the needle, and defining clear success metrics for everything you ship. You’ll lead a cross ‑ functional squad, manage the product backlog, and launch features that drive engagement, adoption and measurable outcomes for our customers across the Diligent Platform. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Own and continuously refine the product roadmap for your area, using customer insight, data and market trends to prioritise what to build next. Define and drive product strategy that aligns with Diligent’s vision for modern governance, connecting your roadmap to clear business and customer outcomes. Act as the voice of the customer: run discovery, validate problems and solutions, and translate insights into clear user stories and product requirements. Lead an agile, cross ‑ functional team (engineering, UX, product marketing, sales, customer success) to design, build and launch high ‑ quality SaaS features. Set goals, KPIs and success metrics for your product, track performance and user engagement, and iterate based on what the data and customers tell you. Tackle complex product and execution challenges by breaking down ambiguous problems, navigating trade ‑ offs, and making clear, data ‑ informed decisions. These are the essentials you’

Role Overview You’re a hands-on backend engineer who enjoys owning features end to end and working on real products that customers rely on every day. In this Software Engineer II role, you’ll help build and evolve a Third Party Risk Management SaaS platform using Laravel and PHP, designing scalable APIs and services that keep performance and reliability front and center. You’ll work in a product-focused team that owns its services from architecture and implementation through deployment, monitoring, and continuous improvement. You’ll mentor junior engineers, influence technical decisions, and use modern AI-powered tools thoughtfully to ship better code faster. If you’re looking for a mid-level role with real ownership, modern tooling, and the chance to grow your impact, this is for you. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design, build, and maintain backend features and RESTful APIs in Laravel within a modern TALL stack environment. Own well-defined stories from implementation through deployment, monitoring, and iteration, ensuring performance and reliability. Contribute to architectural discussions and technical decisions that shape the Third Party Risk Management platform. Review code, improve test coverage, and strengthen CI/CD and engineering standards across the team. Mentor Software Engineer I colleagues through code reviews, pairing, and knowledge sharing. Use AI tools (e.g. GitHub Copilot, ChatGPT) to accelerate coding, debugging, testing, and documentation—while critically validating outputs and ensuring safe, responsible use. These are the essentials you’ll need to get an interview 3–5 years of professional software engineering experience in an agile, fast-paced environment. Strong experience with PHP and Laravel, ideally within the TALL stack (Tailwind, Alpine.js, Laravel, Livewire). Solid understanding of relational databases (MySQL or MariaDB), including data modelling and query optimisation. Experience designin

Come join our legal team to work on the most exciting legal, policy, and operational issues at the leading edge of AI. We're seeking strong product lawyers with specialized expertise in intellectual property law. As product counsel, you will advise on all legal aspects of product development, launch, and operations - including regulatory compliance, user terms, and risk management - while bringing deep expertise in your specialized legal area. The ideal candidate will have deep subject matter expertise in intellectual property law, a technology background, and a demonstrable history of providing practical product counsel to solve complex, time-sensitive problems in close partnership with cross-functional teams. This role reoprts to the Associate General Counsel, IP & Product. You will: Strategic Product Advice: Lead IP strategy for product development, embedding IP protection into the full product lifecycle from conception to commercialization, while also advising on related product and regulatory matters in collaboration with the broader legal team. Cross-Functional Collaboration: Partner with Research, Product, Engineering, Operations, Communications, and Marketing teams to mitigate IP risks in product development, data licensing, and open-source governance. IP Counsel: Support management of Scale's worldwide IP portfolio including patents and trademarks; assist with patent prosecution and trademark registration and enforcement. Risk Mitigation: Advise on third-party, synthetic, and open-source data and models, ensuring compliance with licensing requirements; design open-source governance policies. Agreements: Support drafting and negotiation of commercial agreement provisions involving intellectual property. Specialized Expertise: Provide counsel on machine learning, robotics, and other technical areas, with ability to engage effectively with technical teams on complex engineering and product issues. Training: Develop and deliver IP and data licensing trainin

About the Role This role will serve as a key execution partner to the GenAI Customer Compliance Manager, with a strong focus on supporting GenAI delivery workflows through embedded compliance operations and Legal coordination. The GenAI Compliance Operations & Programs Associate will sit at the intersection of Delivery, Ops, and Legal, ensuring that compliance considerations are integrated early in the project lifecycle, risks are clearly identified and prioritized, and Legal is engaged with the right context at the right time. By owning execution, coordination, and delivery integration, this role frees the Customer Compliance Manager to focus on strategy, governance, and risk frameworks. The role requires strong operational ownership, comfort with ambiguity, and the ability to drive alignment across fast-moving, cross-functional teams. Key Responsibilities Compliance Review Operations & Legal Coordination Manage end-to-end compliance review workflows for GenAI projects — from early-stage intake through review, approval, launch, and verification — in close partnership with Engagement Management and Delivery. Evaluate incoming work for compliance risk signals (e.g., data sensitivity, copyright exposure, privacy concerns); triage and prioritize requests for Legal based on risk, scope, and delivery timelines. Partner with Engagement Management to translate and execute risk mitigation at both the project and customer level, gather operational input to develop and prioritize systematic compliance controls, and train/educate Ops stakeholders on common or emerging compliance risks. Ensure Legal receives clear, structured, and actionable context; coordinate reviewers across Legal and internal teams to support SLA adherence. Identify workflow friction points and contribute to improving processes, templates, and prioritization frameworks. Maintain dashboards to track throughput, bottlenecks, SLAs, and risk trends. Risk Mitigation Solutions & Monitoring Support Eng

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborating with cross-functional teams to define, design, and deliver new features. Proactively identifying opportunities for, and driving improvements to, current p

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking an Physical Design Engineer to lead cross-functional efforts to solve complex physical design challenges and develop end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities. This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who you are BS in Electrical or Computer Engineering (or equivalent experience) with 5+ years in Physical Design CAD methodology at advanced nodes. Proven track record improving PPA and/or runtime on high-performance, low-power taped-out designs. Hands-on with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows. Strong Python/Tcl and data skills, with interest or experience in ML frameworks (PyTorch, TensorFlow), and the ability to drive complex projects independent

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Identity Engineering team. In this role, you will help support the design and development of core software systems specifically focused on identity, access management, authorization, and authentication. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our identity infrastructure to ensure secure authentication and authorization across enterprise systems. Build software for authentication mechanisms such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federated identity solutions (SAML, OAuth, OpenID Connect). Build software for authorization mechanisms such as Relation-based access control (ReBAC), Attribute-based access control (ABAC), Role-based access cont

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Identity Engineering team. In this role, you will help support the design and development of core software systems specifically focused on identity, access management, authorization, and authentication. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our identity infrastructure to ensure secure authentication and authorization across enterprise systems. Build software for authentication mechanisms such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federated identity solutions (SAML, OAuth, OpenID Connect). Build software for authorization mechanisms such as Relation-based access control (ReBAC), Attribute-based access control (ABAC), Role-based access cont