Strategic Transformation Professional Jobs

AI only answers correctly when it can trust the data underneath it. This role owns two connected parts of how Sigma shows up in that world: where Sigma's experience lives outside its own product (MCP, a CLI, the Claude and ChatGPT marketplaces, integrations like Slack, Teams, and Glean), and the semantic layer that makes every one of those surfaces trustworthy. The first mandate is Sigma's AI ecosystem: defining Sigma's approach to MCP, giving external agents structured, governed access to Sigma's data model; owning the CLI, giving developers a fast way to work with Sigma outside the UI; and building Sigma's presence in the Claude and ChatGPT marketplaces, plus integrations for Slack, Teams, Glean, and similar surfaces, so people can reach Sigma's data wherever they already work. This is some of the most visible, fastest-growing surface area in the product. The second mandate is the semantic layer underneath it all. Every agent, chat answer, and integration is only as reliable as the data model behind it — get a metric definition wrong here, and every surface built on top inherits the mistake. This includes setting the roadmap for how semantic views connect across data platforms and how the model evolves as new AI capabilities emerge. What you'll do Define Sigma's approach to MCP, giving external agents and tools structured, governed access to Sigma's data model. Own the CLI roadmap, giving developers a fast, scriptable way to work with Sigma outside the UI. Build Sigma's presence in the Claude and ChatGPT marketplaces, along with integrations for Slack, Teams, Glean, and similar surfaces, so people can reach Sigma's data wherever they're already working. Set the roadmap for Sigma's data modeling strategy, including how semantic views connect across data platforms and how the semantic layer evolves as new AI capabilities emerge. Partner with engineering and design to ship integration and semantic modeling capabilities that hold up at enterprise scale.

Location: Come and join us in Barcelona! At Freenow, we shape the future of urban mobility, empowering people to move freely and helping cities thrive through smarter, sustainable choices. We are looking for a dynamic Supply Operations Lead to supercharge our central supply operations, with a razor-sharp focus on Funnel Management (Driver Acquisition & Retention) and elevating the overall Driver Experience (Engagement, Education, & Communication). In this high-impact role, you will ensure central programs are executed with absolute excellence across regions. You will champion the voice of our markets by channeling structured local feedback into global program designs, bridging local needs with scalable operational mastery to deliver world-class experiences across our diverse European footprint. YOUR DAILY ADVENTURES WILL INCLUDE: Ownership of Supply related KPIs such as Active and New drivers, Retention, NPS and Supply volume Act as the key interface between central and local teams, cascading priorities and frameworks while providing structured feedback on market insights, regulatory risks, and operational constraints to influence global program design, and scaling best practices across markets Translate global strategies into clear regional plans, operating procedures, defining ownership, timelines, success metrics, and governance structures to ensure consistent execution across all markets. Analyse driver retention performance, align stakeholders on key initiatives, and drive continuous improvement across teams Supporting markets and Marketplace teams with engagement and acquisition initiatives to steer supply levels towards targets Support in building and improving end-to-end communication strategies across different channels tailored specifically for our drivers and maximising retention and engagement, in collaboration with local ops, marketing and other central teams Optimising the Driver NPS and other satisfaction metrics, by translating insights

Location: Come and join us in Barcelona! At Freenow, we shape the future of urban mobility, empowering people to move freely and helping cities thrive through smarter, sustainable choices. We are looking for a dynamic Supply Operations Lead to supercharge our central supply operations, with a razor-sharp focus on Funnel Management (Driver Acquisition & Retention) and elevating the overall Driver Experience (Engagement, Education, & Communication). In this high-impact role, you will ensure central programs are executed with absolute excellence across regions. You will champion the voice of our markets by channeling structured local feedback into global program designs, bridging local needs with scalable operational mastery to deliver world-class experiences across our diverse European footprint. YOUR DAILY ADVENTURES WILL INCLUDE: Ownership of Supply related KPIs such as Active and New drivers, Retention, NPS and Supply volume Act as the key interface between central and local teams, cascading priorities and frameworks while providing structured feedback on market insights, regulatory risks, and operational constraints to influence global program design, and scaling best practices across markets Translate global strategies into clear regional plans, operating procedures, defining ownership, timelines, success metrics, and governance structures to ensure consistent execution across all markets. Analyse driver retention performance, align stakeholders on key initiatives, and drive continuous improvement across teams Supporting markets and Marketplace teams with engagement and acquisition initiatives to steer supply levels towards targets Support in building and improving end-to-end communication strategies across different channels tailored specifically for our drivers and maximising retention and engagement, in collaboration with local ops, marketing and other central teams Optimising the Driver NPS and other satisfaction metrics, by translating insights

Software Engineer - III About the Role GHX is building a next-generation Intelligent Process Automation (IPA) platform powered by LLMs and AI-native document understanding. We extract structured data from complex healthcare procurement documents — Purchase Orders, invoices, contracts — at scale across cloud environments. As a member of the IPA engineering team, you will bridge strong software engineering with applied AI. You will design and ship Python services, integrate LLM APIs, build AI agents, create skills and validate the output of LLMs to build document extraction pipelines, and own evaluation infrastructure that ensures production quality. This is not a research role — it is a hands-on engineering role where AI fluency amplifies solid software craft. Core Responsibilities Python Development & Automation Build and maintain Python-based automation services and IPA workflows Develop platform-agnostic solutions supporting future migration across automation tooling Build reusable libraries, frameworks, and components for automation projects Integrate automation solutions with REST APIs and enterprise applications Deploy and monitor automation bots on AWS (Lambda, ECS, SQS, S3) AI & LLM Integration Integrate LLM APIs (like Anthropic Claude, OpenAI, Azure AI) into production pipelines Design classification and extraction prompts for diverse document types (POs, invoices, contracts) Write prompts that function as formal specifications — unambiguous, edge-case-aware Build and iterate few-shot, chain-of-thought, and structured output templates Own prompt library versioning, rollback strategy, and prompt lifecycle management AI & LLM Integration Integrate LLM APIs (like Anthropic Claude, OpenAI, Azure AI) into production pipelines Design classification and extraction prompts f

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role Addepar has just launched an Alternatives Product offering that gives Addepar clients the option to have their Private Funds data extracted, processed, validated, and ingested directly from Private Fund documents for a more automated end-to-end solution for handling Alternatives on the platform. This white-glove solution combines proprietary machine learning technology that automatically extracts data from Private Funds documents and human-in-loop review to validate any documents that fail to pass confidence and data quality checks. As a Senior Lead of the Alternatives Data Operations, you will lead the operations function that is responsible for the human-in-loop review of Private Funds documents, ensuring clients' Alternatives data is processed, validated, and available in Addepar in a timely manner. You will manage a team of Alternatives Data Ops analysts who review Private Fund statements, modify data that has been incorrectly extracted by our machine learning models, and reprocess data within SLAs. In this role, you'll own the operational strategy, team performance, and continuous improvement of the Alternatives Data Ops function—a critical component of Addepar's Alternatives offering success. Your responsibilities will include b

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role Did you know? Alternative investing has the potential to generate higher returns compared to traditional investments over the long term. AI and Machine Learning are revolutionizing the way alternative investments are managed and analyzed. Investors are using these technologies to gain insights, see opportunities, and optimize their investment strategies. Addepar is building solutions to support our clients' alternatives investment strategies. The alternatives data management product is a serverless, modular and terraformed stack. We're hiring a Senior Software Engineer to design, implement and deliver modern software solutions that ingest and process ML-extracted data. You will collaborate closely with cross-functional teams including data scientists and product managers to build intuitive solutions that revolutionize how clients experience alternatives operations. You will work closely with operations engineering on document-based workflow automation and peer engineering teams to define the tech stack. You will iterate quickly through cycles of testing a new product offering on Addepar. If you've crafted scalable systems, or worked with phenomenal teams on hard problems in financial data, or are just interested in solving reall

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role As a Historical Data Conversion Project Manager, you will serve as the essential link between our technical Data Solution Consultants (DSCs) and the client’s business stakeholders. While DSCs focus on the technical execution of data migration and complex analysis, your role is to translate that work into a clear narrative for the client while relaying client requirements back to the internal team. You will leverage a strong understanding of HDC processes, investment data, and technical frameworks to comfortably bridge the gap between technical execution and client expectations. By working side-by-side with the DSCs to identify data remediation strategies, you will translate technical requirements into actionable directives for the client and proactively secure necessary inputs. This role is for a subject matter expert who can navigate technical language and investment complexities to drive project progress and maintain high-impact communication regarding status, gaps, and timelines. You’ll also be among the first members of the Data Solutions team based in India, helping establish our presence in the region while working closely with colleagues across the U.S., U.K., and other global offices. This is a collaborative role offering the

Who are we: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition, to statistical inference analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As part of this team you will be tasked to apply machine learning and specifically deep learning techniques to trading problems while staying connected to broader research community. The researcher will put theory into practice and can immediately impact the global trading landscape with the expanding presence of Graviton in various markets. Description Lead research in applying machine learning to a wide variety of datasets and trading problems Follow latest developments in academic research and incorporating research techniques from different fields of applications to our problems Improve tick-by-tick order book based time series feature sets using latest preprocessing techniques Work on current and develop new deep learning models to exploit large pool of in-house features and computing infrastructure Develop scalable pipeline for building predictive models across global markets Discover and implement new sources of predictive alpha, verify that they improve existing models, and integrate them into the firm's strategy development pipeline Partner with quant researchers and software developers in implementation of conducted research to production using Python / C++ Advise infrastructure support team on latest developments on hardware and software to improve computing infrastructure for ML based research Qualifications Masters or PhD in Computer Science, Mathematics, Statistics, or a related field At least two years of demonstrated experience of ML/AI research in a professional setting or at a repu

JOB TITLE Cloud Compute Engineer A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU'LL DO Design, build, and operate Kubernetes clusters on Amazon EKS, including cluster lifecycle management, networking, autoscaling, and workload scheduling. Manage and optimize EC2-based compute infrastructure, including instance selection, placement strategies, capacity planning, and utilization analysis. Operate and improve ECS-based services where applicable, ensuring consistency across our container runtime environments. Develop and maintain Infrastructure as Code (IaC) using Terraform to provision and manage compute resources at scale. Collaborate with development and platform teams to define compute patterns, containerization standards, and deployment best practices. Monitor compute environments for availability, performance, and cost, driving continuous optimization across the fleet. Contribute to architectural decisions around workload placement, multi-tenancy, OS image and container li

SDLC Engineer A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What You’ll Do Provide expert technical support for our enterprise Software Development Life Cycle (SDLC) platforms including Jenkins, GitHub, Bitbucket, and AWS-based CI/CD pipelines Support and optimize our artifact management solutions (Artifactory) and static code analysis tools (SonarQube) Partner directly with business teams and development clients to address SDLC platform challenges and deliver effective solutions Implement and maintain security controls across our development toolchain and infrastructure Develop automation solutions to eliminate toil and enhance developer productivity Troubleshoot complex build, deployment, and integration issues across our development environments Contribute to continuous improvement of our AWS-based development infrastructure Maintain documentation and knowledge base for supported platforms and tools What’s required 5+ years of experience in software engineering, DevOps, or SRE roles Strong technical expertise in AWS services and cloud-native architectures Experience with container technologies (Docker, ECS, EKS) and container orchestration Deep understanding of Git workflows, branching strategies, and version control best practices Strong hands-on programming/scripting skills (Python, Go, or similar), with ability to debug and build automation for CI/CD pipelines Experience with infrastructure as code (Terraform, CloudFormation) in AWS environments Hands-on experience with CICD solutio

JOB TITLE Site Reliability Engineer A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO You will play a highly critical operational role where you will apply a combination of software and systems engineering skills to develop and maintain a complex set of distributed, real-time systems that serve critical stakeholders in Point72’s Global Macro business. You will focus on optimizing the operations of existing systems and infrastructure in an efficient manner, through a strict adherence to automation and tooling Specifically, you will: Build out foundational technical components of an extensive SRE program across multiple complex systems, both new and existing • Collaborate with our development and quant teams to ensure that ongoing change is consistent with a pre-determined, measurable set of SLOs spanning multiple complex user interactions with our systems • Monitor system capacity and performance, identifying and addressing potential future bottlenecks and sources of instability before they become impactful to our stakeholders • Review and provide feedback on automation code developed by peers to maintain high standards of code quality and efficiency • Troubleshoot and resolve system issues, analyzing their impact on infrastructure and service operations • Participate in or lead design reviews with peers and stakeholders, evaluating and selecting the best technologies and automation strategies for our needs WHAT’S REQUIRED We are looking for highly motivated, proactive engineers

JOB TITLE IT Operations Engineer, EQUITY TRADING technology A Career with point72’s technology TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source and AI solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What you’ll do Provide operational and technical support for the firm’s trading platforms to ensure optimal performance Coordinate and execute software upgrades and releases across trading platforms Manage all production and UAT trading platforms Support trading systems during incidents, including both remediating the issue and ensuring ongoing communication with end-users and stakeholders Liaise with brokers, service providers, and other internal technology groups and stakeholders Design and implement tools and reports to enhance department efficiency Assist platform users during onboarding processes What’s REQUIRED 7+ years of application support experience within the financial services industry Experience working with Linux and other languages Ability to work effectively within a global team, adapting to varying time zones and flexible shift schedules Strong understanding of order management workflows Commitment to the highest ethical standards About point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and co

Role Overview You’re a seasoned Site Reliability Engineer who loves owning complex infrastructure, making things run faster, safer, and with less manual effort. In this Staff‑level role, you’ll design and operate VMware‑based private cloud platforms that power mission‑critical SaaS products used by customers around the world. You’ll work across Linux, Windows Server, networking, storage, and automation frameworks to increase reliability, reduce toil, and modernize a global datacenter environment. You’ll have the scope to set technical direction, build automation at scale, and mentor engineers while staying hands‑on with VMware vSphere, F5/AVI load balancers, and hybrid Active Directory. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the architecture, deployment, and ongoing optimization of VMware vSphere–based private cloud infrastructure across multiple global datacenters. Design and build automation using PowerShell/PowerCLI, Ansible, Python, and CI/CD tools to streamline provisioning, configuration, and compliance. Administer, harden, and troubleshoot Linux (RHEL/CentOS/Ubuntu) and Windows Server environments that host enterprise and SaaS workloads. Integrate and manage Active Directory for authentication, access control, and service accounts across hybrid on‑prem and cloud environments. Partner with network and security teams to manage firewalls, VPNs, storage, and load balancers (F5 BIG‑IP, AVI/NSX Advanced Load Balancer) for highly available services. Document architectures and runbooks, participate in on‑call and change management, and mentor engineers while influencing long‑term reliability and automation strategy. These are the essentials you’ll need to get an interview 10+ years of experience in systems or infrastructure engineering, including operating large‑scale enterprise or SaaS datacenter environments. Deep hands‑on expertise with VMware vSphere (ESXi, vCenter, DRS, HA, vMotion, distributed switches) in production

Here's a summary of the role: Identity infrastructure is not glamourware . It doesn't get standing ovations at company all-hands. But it is the thing every product in the portfolio depends on, and when it breaks, everyone knows. If you're the kind of PM who finds that genuinely interesting, read on. This role is for someone who has lived inside SAML flows, argued over PKCE token lifetimes, and knows exactly why SSO bypass lists are a necessary compromise. You'll own the authentication platform that thousands of enterprise customers trust, and you'll shape it alongside engineers who go deep. No surface-level roadmap ownership here. Here's a breakdown of what you'll do (not all of it, just the important stuff) Own the product strategy and roadmap for core authentication flows: SAML 2.0, OIDC/OAuth 2.0 with PKCE, MFA enforcement, token lifecycle management, and multi-IdP federation. Make product decisions that sit at the intersection of system design, security architecture, and developer experience, working directly with senior engineers on protocol choices and infrastructure trade-offs. Drive adoption of platform identity capabilities across internal engineering teams through influence, moving products toward modern API patterns and away from legacy integration surfaces. Use AI coding tools (Claude Code, Cursor, or similar) to prototype ideas and validate concepts before you pitch them; this is expected, not optional. Track the IAM standards landscape, including passkeys, FIDO2, SCIM, zero-trust, and verifiable credentials, and use that knowledge to sharpen product direction. Translate complex authentication concepts (JWT structures, SAML assertions, PKCE handshakes) into clear specs, user stories, and prioritized backlogs for audiences from engineers to executives. These are the essentials you'll ne

Position Overview Diligent is looking for an experienced GRC Advisor to join the team and work on Key accounts to drive adoption and retention and identify areas for expansion within our platform. This position will leverage our GTM, and value drivers established through combining people, process, and technology. If you are anything like the talented GRC Advisors at Diligent then this feeling you have, might be the desire to serve others- but you are blinded by the limits placed on you in your current role. The Client Success Advisor role is key to Diligent’s Customer Success retention strategy. Key Responsibilities Provide guidance and best practices on configuring, customizing, and optimizing the functionality of the GRC platform and modules to align with clients’ business processes and objectives. Conduct in-depth assessments of clients’ GRC requirements, objectives, and challenges to recommend tailored solutions to address their business needs and goals. Collaborate with clients on internal roadmaps, governance, risk, and compliance requirements to be implemented within Diligent’s platform. Ensure proper understanding and adoption of the platform solutions to identify at-risk clients and help increase usage of the software and modules. Partner closely with internal Product, Customer Success, Support, and Sales teams to drive continuous improvement of the platform based on client use cases. Monitor industry trends, regulatory developments, and emerging best practices in the GRC landscape to proactively share insights and recommendations with clients from a subject matter expert perspective. Required Experience/Skills Minimum of 5-7 years of experience in a client-facing role within the legal, audit, risk, or compliance industry. Adaptive mindset and ability to drive out a meaningful path to how our customers see tangible business