At Equity IT, we are modernizing the way the firm interacts with its order flow and trading tools. As a Technical Product Manager for our Next-Gen UI Platform, you will be the critical link between internal stakeholders (trading desks, risk managers, middle office, and other operational teams) and the UI engineering team.

Working closely with UI Engineering and its leadership, you will help build and evolve an extensible UI component library that serves as the set of building blocks for a cohesive user experience across all of Equity IT's internal UIs.

You will partner with business SMEs across the firm to translate UI and business requirements into clear, functional product requirements for engineers.

You will own and refine a central backlog of UI requests, perform gap analyses on the component library, and produce a product roadmap that balances quick wins with long-term strategic adoption.

In this role, you will support the delivery of new UIs and features end-to-end, acting as the primary liaison for product updates, timelines, and priorities with internal stakeholders.

You will also coordinate with backend and platform teams to ensure the right services and data are in place to support new UIs and use cases.

This role is pivotal in shaping Equity IT's next-gen UI strategy and improving the efficiency and consistency of users' day-to-day workflows across the firm.

Key Responsibilities:

• Develop a product strategy for the next-gen internal UI platform and component library used across trading and related functions.

• Maintain a product roadmap that balances near-term deliverables with long-term strategic goals and broad adoption.

• Own and manage the UI product backlog in close partnership with engineering, project management, and stakeholders.

• Work with the UI Engineering team to create and evolve an extensible, reusable UI component framework, optimizing for a familiar, consistent UX across disparate screens and business areas.

• Perform gap analyses to identify missing or underutilized components and drive their design, prioritization, and implementation.

• Develop and maintain strong, trust-based relationships with internal users so they are comfortable bringing pain points and ideas to you.

• Evangelize the UI platform and component library within the firm, ensuring stakeholders are aware of new capabilities and best practices.

• Translate business and workflow needs into clear, actionable product requirements with an emphasis on usability, performance, and workflow efficiency.

• Balance and negotiate competing priorities across stakeholders and work with teams across Trading Technology and other internal platforms to deliver new tools and features.

• Collaborate with product managers and UX/design partners supporting other areas to enable a unified UI strategy and seamless workflows across all internal tools

Skills Required:

• 8–10+ years of experience as a Product Manager or Technical Product Manager building complex internal or enterprise applications; experience with trading technology UIs is strongly preferred.

• Professional work experience with Figma in an enterprise level environment with respect to workflows and information layout, prototyping complex interactions, defining information hierarchy, standardizing components, and similar.

• Experience working in or closely with front-office or high-intensity operational environments (for example, trading, risk, analytics, operations, or analogous environments in other industries such as fintech, SaaS, or data-heavy platforms).

• Demonstrated experience defining and delivering UI platforms or component libraries/design systems in partnership with engineering (and ideally UX/design).

• Strong technical fluency and the ability to work closely with UI engineers and backend/platform teams on data, performance, and integration considerations

• Proven ability to translate complex business workflows into intuitive, cohesive user experiences and detailed product requirements.

• Entrepreneurial mindset; able to operate autonomously, drive structure in ambiguous environments, and influence without direct authority.

• Comfortable navigating ambiguity and thriving in a lean, fast-paced environment with many stakeholders and competing priorities.

Meaningful Differentiators:

• Experience with latest CSS styling libraries/capabilities

• Typescript/React

• HTML5 technologies

Salary Range: $175,000 to $250,000

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In this pivotal role, you'll serve as the primary liaison between the platform engineering team and our developer community , including quantitative analysts, researchers, and front-office trading teams , ensuring the platform meets their complex development needs and continuously improves.

The Developer Platform team architects, engineers, and enhances the firm's developer’s toolchain and workflow. We collaborate closely with developers, quants, researchers, and front-office trading teams to ensure our platform provides a best-in-class development experience with the feel of native Mac/UNIX-like development.

This role sits at the intersection of product management and technical enablement, acting as the voice of the developer within the platform team.

Key Responsibilities:

• Build and maintain relationships with technologists and developers across the firm to deeply understand their workflows, pain points, and emerging needs

• Discover novel use cases and translate them into actionable product requirements for the platform engineering team

• Serve as the first point of contact for developer questions about the platform's environment, tooling, and capabilities

• Triage and reproduce issues reported by developers, driving initial diagnosis , including leveraging AI-assisted sessions for problem analysis , and escalating to the deeper technical engineering team when necessary

• Drive the roadmap and prioritization of platform enhancements in collaboration with engineering leadership

• Promote and evangelize the Linux developer platform , driving adoption and ensuring developers are aware of available features and best practices

• Manage project timelines, stakeholder communication, and delivery milestones for platform initiatives

Qualifications / Skills Required:

• Demonstrated experience in Technical Product Management, Technical Project Management, or Developer Relations/Developer Experience roles

• Strong communication and stakeholder management skills , ability to engage credibly with both highly technical developers and senior leadership

• Working familiarity with Linux desktop environments , comfortable navigating the platform, understanding developer workflows, and answering environment/tooling questions

• Conceptual understanding of containerization and orchestration (Docker, Podman, Kubernetes) and how developers leverage these tools in their workflows

• Familiarity with CI/CD concepts and tools (e.g., Jenkins, Git) , enough to understand developer pipelines and identify friction points

• Problem reproduction and triage skills , ability to recreate reported issues in the environment and clearly document/escalate to engineering with relevant context

• Experience leveraging AI tools (e.g., LLM-based assistants, copilots) to assist in problem diagnosis, research, and knowledge synthesis

• Basic scripting literacy (Bash, Python) , enough to read, understand, and run existing scripts; not necessarily write complex automation from scratch

Qualifications / Skills Desired:

• Familiarity with serverless compute concepts and cloud-native development paradigms

• Exposure to configuration management tools (e.g., Ansible) and image lifecycle management (e.g., Hashicorp Packer) , understanding what they do and how they fit into the platform, rather than hands-on administration

• Awareness of monitoring and observability tools (Prometheus, Grafana, ELK stack) from a user/consumer perspective

• Understanding of authentication and identity management concepts (e.g., Active Directory integration) as they relate to developer access and workflows

• Experience with agile project management methodologies and tools (Jira, Confluence, or similar)

• Strong communication skills working with engineering leadership, developer community, and stakeholders

• Bachelor’s degree in Computer Science or a related field

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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This individual will lead product development and execution across various systems, workflows, analytics that support margin analytics, cash consumption, liquidity risk, etc. The Cross Asset Quant & Technology Modeling team designs, builds, and maintains the applications and models that support portfolio managers, risk managers, and treasury professionals across the company.

The ideal candidate will bring a strong product mindset, solid technical fluency, and experience working across quantitative workflows, data platforms, and front-to-back capital markets infrastructure.

Responsibilities:

• Partner closely with Treasury, Risk, Quants, Operations, and Engineering to define and deliver products that support cash and collateral management, liquidity forecasting, funding optimization, and margin analytics.
• Own the product roadmap for Treasury-related applications, data products, and workflows, ensuring priorities are aligned with business goals and delivered effectively.
• Translate business needs into clear product requirements, functional designs, and technical specifications
• Work with engineering and quantitative teams to build and enhance tools that improve visibility into liquidity, collateral usage, margin requirements, funding exposures, and treasury risk.
• Serve as a key point of contact for senior stakeholders with Treasury providing clear updates and helping drive alignment and decision-making.
• Coordinate cross-functional teams across product, engineering, quantitative modeling, and business functions to keep delivery on track, remove blockers, and resolve issues quickly.
• Gather and document business requirements, perform gap analysis, and ensure solutions meet business objectives and fit into the broader Treasury and risk platform ecosystem.
• Identify project and product risks early, develop mitigation plans, and escalate issues as needed to support successful delivery.
• Track progress against timelines, objectives, and quality standards, and use feedback, metrics, and outcomes to improve product delivery over time.

Qualifications:

• 12+ years of experience in technical product management, quant management, or a similar role, with a strong track record of delivering complex technology solutions in financial services.
• Strong understanding of capital markets and Treasury-related functions, including cash and collateral management, prime brokerage (PB), margining, repo, securities lending, liquidity, and funding.
• Demonstrated ability to manage complex, cross-functional initiatives with multiple stakeholders and tight timelines.
• Strong business analysis skills, including requirements gathering, gap analysis, process mapping, and translating business needs into practical technical solutions.
• Strong leadership, communication, and interpersonal skills, with the ability to work effectively across both business and technical teams
• Strong analytical and problem-solving abilities, with comfort working with data, metrics, and financial concepts to support prioritization and decision-making.
• Exceptional organizational skills and attention to detail, with the ability to manage multiple priorities and keep workstreams moving in a fast-paced environment.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.

Responsibilities:

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.

• Lead technical discovery: map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.

• Run day-to-day engineering execution and delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Own product scoping for field engagements: define the MVP, author requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve.

• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.

• Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.

• Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.

• Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.

• Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.

• Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting.

• Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected).

You May Be a Good Fit If You:

• Have 5+ years of customer-facing technical delivery leadership , this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software.

• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.

• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.

• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple workstreams in regulated industries.

• Have executive presence , polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.

• Thrive in ambiguity and bring structure where none exists.

• Have a builder's mindset , you're here to create a function, not join one.

Strong Candidates May Also Have:

• Experience in financial services, healthcare/life sciences, or pharmaceutical verticals.

• Background at a Forward Deployed Engineering company or professional services and consulting firms.

• Exceptional understanding of LLM capabilities and limitations.

• Experience with regulated industries and compliance requirements.

• Experience managing delivery teams with embedded engineers at customer sites.

• Familiarity with AI agent frameworks, tool use patterns, and orchestration architectures.

Annual compensation range for this role is €190,000-€215,000 EUR.

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You'll be hands-on: write specs, prototype solutions, dig into technical architecture with engineers, and make product calls grounded in real technical understanding. You'll design and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teams.

You'll use customer context to inform what you build , understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirements. You'll navigate the unique constraints of defense product development across allied nations , classification environments, accreditation processes, air-gapped deployments , or be ready to learn these fast.

Ideally, you'd have a builder mentality: you're energized by going from zero to one, not by managing from a distance. You'll have 8+ years of experience in software engineering, ML engineering, or a deeply technical product role where you were hands-on with what shipped. You'll have technical fluency: software engineering or ML background (master's degree in computer science or equivalent experience).

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role.

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You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion.

You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment.

You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.

You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to represent Anthropic to high-level executives in high-stakes environments.

Responsibilities:

• Manage the technical delivery plan for each engagement.
• Structure the SOW by clearly defining the scope, steps, dependencies, success criteria, and value hypotheses.
• Translate customer commercial objectives into a sequenced roadmap that our FDEs execute.
• Supervise technical discovery: map customer workflows, identify constraints, define the MVP, and shape the solution architecture for custom agent deployments.
• Lead the execution and delivery of daily engineering work within Anthropic and customer teams. Ensure project progress is smooth and sequenced. Make real-time trade-offs on scope and priority to preserve the critical path.
• Ensure product scope for field missions: define the MVP, write requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve. Manage the кури relationship throughout delivery. Organise executive briefings, manage communications with stakeholders regarding technical leads and supply, and represent Anthropic to high-level commercial and technical executives in terms of technical credibility.
• Measure value and ROI: define impact hypotheses, establish baselines and key performance indicators, conduct pre- and post-deployment measurements, and communicate results to executive sponsors.
• Codify reusable solution patterns, evaluation frameworks, and technical manuals.
• Record best practices from various interactions and transmit signals from the field to Product and Research teams to improve our platform and models.
• Navigate enterprise and regulatory complexity: security audits, legal approvals, procurement processes, compliance requirements, and organisational dynamics.
• Manage scope and change: manage evolving requirements, define expectations, negotiate contract modifications, identify risks upfront, and signal them with clear context, as needed.
• Manage delivery operations: sprint ceremonies, review milestones, and progress reports.
• Visit customer sites to build relationships, unlock deliveries, and accelerate adoption (target 25-50%).

Requirements:

• More than 5 years of technical leadership experience with customers. This can include technical engagement management, technical program management, or technical product management, in startups/founders, technical profiles, professional services, consulting, or enterprise software.
• Have deployed AI agent-based solutions using AI, ML, or LLM. You understand applicable models, integration approaches, and real-world realities.
• Be able to hold architecture conversations with engineering stakeholders, evaluate technical trade-offs, and test technical decisions under pressure. You won't write production code, but will be responsible for leading technical engagement direction alongside Forward Deployed Engineers.
• Have experience delivering complex, high-stakes technical projects for enterprise customers, where results depend on close coordination and rapid decision-making, ideally in multiple activities within regulated sectors.
• Have an assertive personality: be comfortable, credible, and able to represent Anthropic to high-level executives in high-stakes environments. Overcome ambiguous contexts and bring structure where there isn't.
• Have a builder mindset: here to create a function, not occupy it.

Additional assets:

• Experience in financial services, healthcare, life sciences, or pharmaceutical industries.
• Experience in a deployed engineering firm or professional services and consulting firms.
• Exceptional understanding of LLM capabilities and limitations.
• Experience with regulated industries and compliance requirements.
• Experience managing delivery teams with integrated engineers on customer sites.
• Familiarity with AI agent frameworks, usage tool models, and orchestration architectures.

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This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.

Responsibilities:

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.

• Lead technical discovery: map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.

• Run day-to-day engineering execution and delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Own product scoping for field engagements: define the MVP, author requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve.

• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.

• Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.

• Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.

• Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.

• Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.

• Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting.

• Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected).

You May Be a Good Fit If You:

• Have 5+ years of customer-facing technical delivery leadership , this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software.

• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.

• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.

• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple workstreams in regulated industries.

• Have executive presence , polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.

• Thrive in ambiguity and bring structure where none exists.

• Have a builder's mindset , you're here to create a function, not join one.

Strong Candidates May Also Have:

• Experience in financial services, healthcare/life sciences, or pharmaceutical verticals.

• Background at a Forward Deployed Engineering company or professional services and consulting firms.

• Exceptional understanding of LLM capabilities and limitations.

• Experience with regulated industries and compliance requirements.

• Experience managing delivery teams with embedded engineers at customer sites.

• Familiarity with AI agent frameworks, tool use patterns, and orchestration architectures.

Annual compensation range for this role is €190,000-€215,000 EUR.

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Responsibilities:

• Collaborate with AI platform developers, security architects, and internal stakeholders to distill feature asks, gather feedback, and ensure product-market fit for AI agent identity.
• Define and own the product strategy and roadmap for AI agent-specific capabilities, including agent-to-agent authentication and delegated authority.
• Identify and prioritize the development of new features such as dynamic session management for AI, "on-behalf-of" token exchange, and agent-specific audit logs.
• Work closely with engineering and architecture teams to define protocols (e.g., extensions to OAuth/OIDC) and deployment models that align with modern AI orchestration frameworks.
• Drive cross-functional execution with design, engineering, and documentation teams to deliver high-quality features on time.
• Track industry trends in LLMs, agentic frameworks (e.g., LangChain, AutoGPT), and emerging AI security standards to develop differentiated solutions.
• Leverage product data to continually improve agent lifecycle management and drive adoption within the developer community.
• Serve as the subject matter expert for AI Identity, enabling marketing and technical sales teams with the tools needed to position Okta for AI use cases.

Required Experience:

• 5+ years of technical product management experience in enterprise-scale SaaS products, or an equivalent background demonstrating core PM competencies.
• Strong knowledge of Identity and Access Management (IAM) protocols such as OAuth2, OIDC, and SAML.
• Hands-on experience with AI/ML frameworks or building products that leverage Large Language Models (LLMs).
• Analytical and decisive: Ability to drive action even with incomplete or ambiguous information in the rapidly evolving AI landscape.
• Excellent communication skills: Ability to work cross-functionally with research, design, engineering, and customer success teams.
• Technical background: Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience that allows you to influence technical design decisions.

Preferred Experience:

• Experience with developer-centric products, such as building with SDKs, APIs, or no-code/low-code integration platforms.
• Familiarity with Zero Trust architecture and how it applies to non-human entities and automated workloads.
• Prior experience in a "Zero to One" product environment, launching new products from initial concept to GA.
• Advanced degree in a technical or business field.

Annual Salary Range: $146,000-$200,000 CAD

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As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.

You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs.

You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey.

Key Responsibilities:

• Establish trust-based and strategic relationships with key decision-makers across EMEA to understand their activities and objectives, identifying opportunities for optimization and expansion.

• Become an expert in Anthropic's products via API, Claude for Enterprise, and Claude Code, understanding the nuances and best practices of each to guide customers towards the right solutions.

• Leverage your deep understanding of the customer and regional specifics to proactively drive usage planning, identifying current and future consumption and adoption trends, and how they translate into value-added for the customer.

• Monitor usage patterns and identify opportunities for optimization, proactively addressing underutilization of product-based consumption (API) and subscription-based (Claude for Enterprise/Claude Code) to fully leverage contractual commitments.

• Play a strategic partner role with customers, enriching their knowledge of Claude through the dissemination of Anthropic's product roadmap, introducing new products, and involving product leads to make customers the voice of the region EMEA.

• Document and quantify customer value realized through commercial results, ROI, and impact indicators to form compelling internal business cases to pursue and increase investments.

• Identify potential use cases and sectors not yet exploited, collaborating with customers to discover new applications for Claude within different services, teams, and workflows.

• Develop and implement change management strategies to drive adoption by end-users and maximize value within customer organizations, including training programs, center of excellence development, and organizational support.

• Manage the customer experience throughout their lifecycle: manage comprehensive accounts and success plans based on customer business objectives, conduct quarterly business reviews, and serve as the primary intermediary between the customer and Anthropic.

• Contribute to Anthropic's brand development and customer relationships as a member of the first customer success team in the region, developing processes, operational guides, and best practices tailored to the EMEA region and taking into account regional corporate cultures.

Requirements:

• More than 6 years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/Functional Consultant, Success Engineer, or similar).

• Proven experience in driving success in consumption-based and subscription-based commercial models, with a good understanding of growth levers and associated performance indicators.

• Technical mastery and ability to understand and articulate AI/ML concepts, API integrations, and software implementation models.

• Experience presenting and demonstrating technical products to diverse audiences.

• Strategic mindset to identify growth opportunities and translate them into concrete expansion plans.

• Collaborative and adaptable individual who represents the customer positively and proactively, mobilizing the entire team around solutions to meet customer needs.

• Strong project management skills and ability to manage multiple customer relationships.

• Passion for AI and interest in responsible development of advanced systems.

• Gain experience working and contributing to a rapidly growing region, balancing time zones from the US-headquartered headquarters.

• Ability to bring order to chaos and an enthusiastic 'roll-up-your-sleeves' attitude. You have a team spirit.

Preferred skills: French, German, Spanish, or Italian language proficiency.

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You will work across engineering, business development, and customer programs to translate complex regulatory requirements into buildable products and ensure Hivemind becomes the definitive platform for certified autonomous systems. This role is central to Shield AI's expansion into regulated aviation markets internationally.

Responsibilities:

• Own the product strategy and roadmap for the capabilities that allow our customers to quickly fly on critical systems.
• Define and prioritise requirements for certifiable software components by collaborating with engineering teams, certification authorities, and key customers.
• Lead the development and adoption of our tooling for assured software.
• Partner with business development and engineering support teams to guide customer engagements from pre-commitment through authority approval, including safety case templates and certification guidance.
• Represent the Assured Foundations product externally through whitepapers, technical briefings, and concept reviews for customers, program managers, and certification authorities.
• Define and track success metrics such as certification milestone progress, SDK adoption, and engineering support utilisation to guide roadmap priorities.

Requirements:

• 7+ years of technical product management experience on safety-critical, embedded, or avionics software products.
• Working knowledge of aviation software certification standards (DO-178C, ML-HDBK 516C, ASTM F3269-21, or equivalent).
• Demonstrated ability to drive cross-functional alignment across engineering, business development, and external customers on complex, multi-year technical programs.
• Strong written and verbal communication skills, with the ability to translate highly technical material into clear value propositions for both engineering and executive audiences.

Preferred Qualifications:

• Experience with runtime assurance architectures, safety monitors, or formally verified software in autonomous or avionics systems.
• Background working with aviation OEMs, certification authorities, or program offices.
• Familiarity with real-time operating systems and deterministic middleware concepts including WCET analysis and static memory allocation.
• Prior experience owning traceability or test management tooling in a regulated development environment.
• Experience in international avionics markets.

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This person is responsible for the technical roadmaps, feature prioritization, software requirements, and specification definition related to Lab Information Management Systems (LIMS), laboratory automation, and software managing sample processing-to-result generation.

You will define and execute the multi-year technical roadmap for IVD/LDT software platforms, ensuring alignment with clinical needs and regulatory requirements.

Key responsibilities include:

• Leading feature prioritization and software requirements definition of LIMS, lab automation, and software managing the sample processing-to-result generation to optimize high-throughput sample processing and data integrity.

• Directing the integration of complex diagnostic hardware with cloud-based or on-premise processing software, focusing on seamless end-to-end workflows.

• Ensuring all software products comply with global regulatory standards, including FDA, CLIA/CAP, ISO 13485, and HIPAA/GDPR data privacy requirements.

• Collaborating with R&D, Molecular Biology, Clinical Lab, Lab Automation, and Engineering teams to translate complex assay protocols into automated, scalable software requirements.

• Managing cross-functional dependencies between wet-lab operations, bioinformatics pipelines, and software engineering teams to ensure timely product delivery.

• Establishing and monitoring key performance indicators (KPIs) for software reliability, processing speed, and diagnostic accuracy in a clinical laboratory environment.

Requirements include:

• 8+ years in Technical Product Management, with at least 4 years specifically in IVD, Medical Devices, or Clinical SaaS.

• Proven experience with LIMS/LIS and laboratory automation workflows.

• Deep familiarity with FDA software guidelines and CLIA regulations.

• BS/MS in Computer Science, Bioengineering, Molecular Biology, or a related field.

• Demonstrated experience managing and scaling technical product teams in a regulated environment.

Nice to have qualifications include:

• MS or PhD in a technical or scientific field.

• Experience with Next-Generation Sequencing (NGS) data pipelines.

• Hands-on experience with cloud infrastructure (AWS/Azure/GCP) in a GxP environment.

The US target range of our base salary for new hires is $220,400 - $281,400. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.

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At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.

You are a technically accomplished and strategically minded architect who thrives at the intersection of technology and business. You bring a deep passion for power and performance analysis technologies and system-level validation, and are adept at translating complex technical concepts into actionable product strategies and compelling business opportunities.

Drive the full lifecycle of power and performance analysis solutions,from ideation and design through development, launch, and market adoption.

Develop and execute long-term product and technology roadmaps that align with customer needs and corporate strategy.

Serve as the domain and product expert for power and performance analysis solutions, with a focus on use-case-driven development.

Develop Product Requirements Documents (PRDs) based on customer use cases and translate them into detailed feature definitions in collaboration with Product Engineering (PE) and Product Management (PM) teams.

Guide product management on release content, prioritization, and readiness reviews in coordination with R&D and PE teams.

Define and co-create Application Engineering (AE) training materials for use case enablement.

Conduct technical win/loss analyses and competitive benchmarking to inform product positioning and roadmap decisions.

Create technical collateral including blogs, whitepapers, demos, and presentations to support go-to-market efforts.

Engage with customers and field teams to gather feedback, validate product direction, and ensure alignment with market needs.

Lead strategic initiatives and cross-functional projects that deliver measurable business impact.

Shape the strategic direction and long-term success of Synopsys’ Power and Performance Analysis Solutions portfolio.

Drive customer-centric innovation that positions Synopsys as a market leader in power modeling and validation technologies.

Influence industry standards and market trends through active participation in technical forums and standards bodies.

Accelerate revenue growth by identifying new market opportunities and developing effective go-to-market strategies.

Enhance cross-functional collaboration, ensuring seamless product execution and high customer satisfaction.

Foster a culture of innovation, learning, and continuous improvement within the organization.

Build strategic partnerships and new market entry models to differentiate Synopsys’ offerings.

Anticipate and address future market needs, ensuring ongoing competitiveness and relevance.

Deep technical expertise in power & performance modeling, emulation platforms, RTL simulation, and power-aware design flows.

5+ years of experience in technical product management, preferably in EDA, semiconductor, or system design domains.

Proven ability to define and execute product strategies based on technical use cases and market trends.

Strong analytical skills, with experience in market analysis, business planning, and competitive assessment.

Excellent verbal and written communication skills, including the ability to present and influence at all organizational levels.

Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field (MBA preferred).

A collaborative and inclusive leader who inspires trust and drives results through cross-functional teamwork.

Strategic thinker with the ability to anticipate future trends and proactively shape product direction.

Customer-focused, with a passion for understanding and solving complex customer challenges.

Excellent communicator, adept at tailoring messages to diverse audiences and building strong relationships.

Resilient, adaptable, and comfortable navigating ambiguity in a fast-paced, dynamic environment.

Committed to fostering a culture of learning, innovation, and continuous improvement.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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About the Role

This exciting role offers a talented and experienced technical product manager the opportunity to drive innovations that improve the ability for EA's developers to make great games and products.

You will have the chance to work with game teams across the entire organisation, including FC, Madden, Battlefield, the Sims, Apex Legends, and central teams such as Frostbite.

Key Responsibilities

• Vision & Roadmap: Own the product vision and roadmaps for EA internally used products across adjacent developer platform capabilities, aligned to studio and platform strategy.

• Customer Success: Understand internal customer pain points (EA game developers) and translate them into prioritised, outcome-driven requirements informed by research and competitive analysis.

• Aligning Priorities: Balance scalability, security, usability, and developer productivity, ensuring roadmap decisions are grounded in measurable business and developer impact.

• Domain Expertise: Partner deeply with engineering leaders to understand system architecture, performance trade-offs, and scalable platform services; translate complex technical initiatives into clear execution plans.

• EA's Software Development Lifecycle: Develop a strong understanding of the game development lifecycle and identify SDLC friction points to enhance developer experience.

• Stakeholder Alignment: Collaborate closely with developers, design, and studio stakeholders to validate solutions, align priorities, and drive adoption through clear communication and enablement.

• Measure Success: Define and track success metrics tied to adoption, efficiency, reliability, and developer satisfaction; ensure instrumentation and telemetry are embedded from the outset.

• AI-Forward: Leverage AI tools operationally to improve product management efficiency and identify opportunities to reduce manual workflows and enhance developer enablement.

Qualifications

• 5+ years of product management experience, preferably in platform, infrastructure, or developer-facing products.

• Experience defining, owning and driving product initiatives, ideally in technically oriented or platform-focused areas.

• Strong technical foundation, including familiarity with APIs, microservices, cloud technologies (e.g., AWS, Azure, GCP), CI/CD pipelines, and general software development lifecycle, with the ability to confidently engage in technical discussion and understand system architecture.

• Prior experience using AI tools to support day-to-day work.

• Prior experience partnering closely with engineering teams to deliver reliable, scalable solutions.

• Data-informed approach to decision-making, including defining success metrics and using insights to guide priorities.

• Strong written and verbal communication skills.

• Thrives in working with both technical and non-technical partners.

• Experience driving results across product, engineering, and studio teams in multi-org or -team environments.

Benefits

This is a hybrid role, with 3 days per week working from our office in Madrid.

Please, apply with a CV in English.

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As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.

This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis.

Responsibilities

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.

• Lead technical discovery: map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.

• Run day-to-day engineering execution and delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Own product scoping for field engagements: define the MVP, author requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve.

• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.

• Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.

• Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.

• Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.

• Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.

• Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting.

• Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected).

You May Be a Good Fit If You

• Have 5+ years of customer-facing technical delivery leadership — this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software.

• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.

• Experience in financial services, healthcare/life sciences, or pharmaceutical verticals.

• Background at a Forward Deployed Engineering company or Big 3 / Big 4 professional services and consulting firms.

• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.

• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple work-streams in regulated industries.

• Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.

• Thrive in ambiguity and bring structure where none exists.

• Have a builder's mindset — you're here to create a function, not join one.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to

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Product Manager, Codex

Location

San Francisco

Employment Type

Full time

Location Type

On-site

Department

Product Management

Compensation

• $255K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great in the Codex.

About the Role

As the product manager on Codex, you will lead the development of a highly technical product designed for a technical audience. Much of the work is 0–1, requiring you to shape product direction amid ambiguity and shape what the future of agents will look like. You’ll partner closely with world-class engineers and researchers to bring cutting-edge capabilities into the hands of developers, and you’ll shape how our AI tools support software development workflows.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Shape product strategy for Codex, from early concepts through launch and iteration.

• Collaborate with engineering and research to translate breakthroughs into usable, high-value developer experiences.

• Deeply understand developer workflows and identify opportunities where AI can make them faster, more intuitive, and more powerful.

• Navigate ambiguity and make thoughtful trade-offs in 0–1 product environments.

• Partner with cross-functional teams to deliver quickly while maintaining a high bar for technical quality and user experience.

You might thrive in this role if you:

• Bring a strong technical background and have recently shipped code to production

• Have a deep intuition for developer workflows and a passion for building tools that make coding more productive and enjoyable.

• Can define product direction in ambiguous, 0–1 environments and rally teams around it.

• Demonstrate strong product intuition, making thoughtful prioritization and sequencing decisions.

• Have experience driving execution across engineering, design, and research.

• Bring an entrepreneurial mindset and adaptability, whether from startup or high-growth company environments.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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