Key responsibilities include:

• Defining and evolving the system-wide software architecture for XBAT, spanning airborne vehicle, ground station, and autonomy layers.
• Translating safety and security goals into technical requirements, standards, and design patterns that guide engineers across multiple software teams.
• Ensuring architecture supports safety-critical and cyber-relevant workflows, including formalizing architecture decisions, traceability, and compliance pathways appropriate for advanced airborne systems.
• Driving cross-team alignment on APIs, data flows, fault handling, verification strategy, and risk management so mission, vehicle, and autonomy components integrate cleanly.
• Partnering with engineering leadership, system architects, and validation teams to balance innovation speed with rigorous assurance practices.
• Setting technical direction for long-term scalability: modularity, maintainability, testability, and support for future capability growth or certification needs.
• Mentoring senior engineers and architects, raising the bar for design rigor, documentation quality, and architectural judgment across the organization.
• Producing and maintaining architecture artifacts: high-level system diagrams, component interfaces, data models, risk analyses, and design rationales.
• Leading technical reviews for major features, changes, or integration points; ensuring alignment with architectural standards and safety/security constraints.
• Defining architecture governance: decision records, change control processes, quality gates, and collaboration flows among development, verification, and operations.
• Collaborating with systems, hardware, and avionics teams to manage boundaries, timing, resource allocation, and failure modes that affect overall aircraft and mission performance.
• Driving technology evaluation and roadmap: selecting or validating frameworks, middleware, and tooling that meet performance, assurance, and cyber-hardening needs.
• Supporting external or internal readiness evaluations: providing architectural evidence, participating in reviews, and helping the program articulate compliance posture as requirements evolve.
• Advocating for continuous improvement in architecture practice: metrics, architecture reviews, knowledge sharing, and onboarding for new team members.

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Role:

• Design, implement, and test closed-loop control algorithms for precise pointing, station-keeping, detumble, and desaturation maneuvers for satellites in orbit
• Develop and maintain high-fidelity satellite simulations to validate GNC control algorithms prior to flight
• Validate and verify algorithm performance through software simulation, Monte Carlo analysis, hardware in the loop, and on-orbit testing
• Perform stability analysis in both time and frequency domains, including gain tuning, margin assessment, and notch filter design for structural flex modes
• Support system identification efforts using in-orbit telemetry to refine onboard models and improve controller performance
• Ability to effectively collaborate with interdisciplinary teams on large projects
• Develop operational procedures and provide mission planning support
• Support GNC operations for our fleet of satellites, including on-console and on-call rotations
• Support in recruiting, interviewing, and hiring additional teammates to our rapidly growing team

Requirements:

• B.S. or higher in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or a related technical discipline
• 5+ years of industry experience in GNC, controls, or a closely adjacent discipline
• Strong fundamentals in classical and modern control theory, including frequency-domain analysis (Bode plots, Nyquist, gain/phase margins)
• Experience designing and implementing closed-loop control systems for dynamic systems
• Experience with gain optimization, linearization, and controls tooling development
• Demonstrated experience modeling flexible body dynamics and mitigating their effects through system design and control systems
• Proficiency in Python for algorithm development and simulation
• Experience with modern C++ for on-board software
• Strong problem-solving skills and attention to detail
• Strong written and verbal communication skills and ability to work in a fast-paced, iterative environment
• US Citizenship or Green Card

Bonus:

• Direct experience with spacecraft attitude control systems (reaction wheels, thrusters, gimbals)
• Understanding of orbital mechanics and geostationary stationkeeping strategies
• Familiarity with electric or chemical propulsion-based control (e.g., stationkeeping, momentum management maneuvers)
• Background in estimation theory or Kalman filtering for attitude/orbit determination
• Hands-on experience with hardware-in-the-loop testing or real-time simulation environments
• Experience supporting live satellite operations or anomaly resolution
• Experience with AI tooling and agentic workflows

What we offer:

All our positions offer a compensation package that includes equity and robust benefits. Base pay is just one component of Astranis’s total rewards package. Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.

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As a Spacecraft Engineer, you will be responsible for:

• Leading the definition, documentation, and maintenance of the complete GEO spacecraft system architecture
• Identifying and rapidly solving cross-functional issues that arise at every stage of the satellite lifecycle
• Defining and managing spacecraft internal and external interfaces to ensure seamless integration and compatibility across subsystems
• Acting as the technical owner and primary point of contact for critical system budgets
• Providing technical guidance and oversight to subsystem engineers
• Supporting Assembly, Integration, and Test (AI&T) activities and mission operations

Requirements:

• Bachelor's or Master's degree in Engineering (Aerospace, Electrical, Mechanical, etc.) or a related technical discipline
• 3 to 10 years of experience in integrated system design, integration, and/or test
• Experience as a hands-on engineer or other technical domain expert
• Track record of solving hard problems independently
• Ability to lead outside of the traditional reporting chain
• Proven experience in managing complex technical budgets and enforcing design discipline

Bonus:

• Experience working through a complete GEO spacecraft development lifecycle
• Familiarity with Smartsheet, Jira, and Confluence
• Deep technical experience across multiple domains
• Specific experience with GEO or high-power communication satellite systems

What we offer:

• A compensation package that includes equity and robust benefits
• Base pay is just one component of Astranis's total rewards package
• Significant equity package via incentive stock options
• High-quality company-subsidized healthcare
• Disability and life insurance
• 401(k) retirement planning
• Flexible PTO
• Free on-site catered meals
• U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required

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Every idea starts with a problem. Ours was simple: Boats are special , but they’re loud, pollutant, unreliable, and stuck in the past. Gas-powered boats dominate not because they’re great, but because no better option has existed. Until now.

Arc is here to change that. We’re building 100% electric boats from the ground up , quicker, quieter, easier to maintain, and better for the water they ride on. We’re not just swapping gas for batteries. We’re rethinking every detail on the boat , from propulsion and powertrain to software and ownership model , applying first-principles engineering from aerospace and EVs to deliver a better boating experience.

Who We're Looking For

We’re looking for someone who’s fired up by our mission and ready to build. You’ll thrive here if you adapt quickly, take ownership, and care about the details.

Core Responsibilities

• Building a high-functioning team in line with Arc's values
• Providing growth opportunities and feedback to team members
• Forming technically-informed strategies to maximize impact
• Communicating with adjacent teams to improve efficiency

Basic Qualifications

• 6+ years of industry experience
• 2+ years of management experience
• Strong grasp of the fundamentals of software engineering
• Excellent interpersonal skills in both written and verbal media

Bonus Qualifications

• Prior experience with Typescript and/or Python
• Prior experience with Amazon Web Services and/or Google Cloud Platform
• Prior experience with software in a hardware domain, such as embedded devices, mobile apps, IoT, and/or infotainment systems
• Comfortable pushing an fast but sustainable pace
• Enthusiasm for boating and clean energy

Our Values

We move with urgency and build with care. We value these five things above all else:

• Ownership over both your work and the company’s success
• Empathy for colleagues and for customers
• Humility in problem solving and collaboration
• Pragmatism for navigating ambiguity quickly and sensibly
• Inclusion of different backgrounds, opinions, cultures, and perspectives

What We Offer

We don’t think great work happens by accident. We invest in the people building Arc , because when you’re supported, you do your best work.

• Salary: $200,000
• Ownership – Equity in Arc
• 99% employer-paid health coverage – Medical, dental, and vision
• Arc Water Fund – Annual stipend to get out on the water, however you choose
• Captain Training – Get certified to take the boat out with friends and family
• 401(k) access – Plan your future
• Semi-annual bonuses – Tied to your impact, not just your tenure
• Daily team lunches, snacks, and good coffee while onsite
• Parental leave – Because family comes first
• Boat days – Yes, we actually go out on the water. A lot.
• A chance to define the future of boating
• The ability to drive positive environmental change through your work

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The Anduril Imaging team develops state-of-the-art imaging systems across both hardware and software, deployed to tackle the most significant security challenges of America and its allies.

Anduril Imaging's System Engineering team is seeking a Systems Engineer to join our team. The System Engineering team is responsible for system architecture definition, trade analyses, and modeling/validating system performance for land, sea, air, and space EO/IR applications.

In this role, you will be responsible for defining active EO/IR system architectures. You will perform radiometric performance modeling as well as laboratory, ground, and flight testing. To predict real-world performance, you will also model atmospheric and environmental effects for land, sea, and air targets.

You will leverage your analyses to inform system-level architectural trades. As needed, you will also lead small teams of engineers from concept ideation through system definition and development.

You should have a track record of successfully working on fast-paced, highly technical, interdisciplinary teams. Proficiency in analytical toolchains or languages (e.g., MATLAB, Python) is required. Experience with industry standard EO/IR modeling software packages (e.g. MODTRAN, SPIRITS, AFSIM) is a plus.

Key Responsibilities:

• Define system architectures via detailed trade studies and analyses.

• Adapt or derive physics-based models of sensor system performance and derive requirements based on those models.

• Take ownership over the development of prototype sensor systems in a lab environment.

• Support both laboratory-based and field-based experiments and demonstrations.

• Engage technically with the hardware, software, and mission teams to define, integrate, and deliver high performance systems to our customers.

• Validate models against laboratory and real-world data.

• Coordinate and communicate with both external & internal stakeholders with varying degrees of technical background.

Requirements:

• Model development and validation in one or more domains relevant to remote sensing.

• Ability to decompose complex systems into functional parts, with clearly defined interfaces and requirements for each.

• Experience in system design and development from initial concept through test and delivery to customer.

• Strong laboratory skills (rapid prototyping, design of experiments) and familiarity with opto-electrical test and measurement equipment.

• Willingness to travel to test sites, as needed.

• Must be able to obtain and hold a U.S. security clearance.

Preferred Qualifications:

• Knowledge of current and next-generation advanced sensing systems and platforms.

• Active and passive sensing domain experience (e.g., LiDAR, EO/IR, Radar).

• Experience with laser systems, including opto-mechanical scanning and beam steering techniques.

• Knowledge of electro-mechanical control systems, including their performance requirements and verification methodologies.

• Experience with LiDAR/Radar signal processing techniques, and knowledge of their implementation on real-time embedded platforms (FPGA, MCU, etc.).

• Experience with signature and/or scenario modeling/software packages (MODTRAN, SPIRITS, AFSIM).

Salary: The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.

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Data Governance & Analytics

Develop and implement data analytics strategies to improve operational efficiency, identify trends, and make data-driven decisions. Leverage data analytics to improve risk management, underwriting, processing, and other operational areas. Identify and implement new data sources, analytics tools, and methodologies to enhance data-driven decision-making. Provide insights and recommendations to leadership based on data analysis.

Digital Transformation

Lead digital transformation initiatives to improve customer experience, automate processes, and enhance operational capabilities. Identify and implement new digital technologies and tools to improve efficiency and effectiveness. Develop and execute digital transformation roadmaps, ensuring alignment with business objectives. Collaborate with technology teams to ensure the successful implementation of digital transformation initiatives. Provide training and support teams for adapting to new processes, technologies, and methodologies. Monitor and evaluate the impact of changes, ensuring continuous improvement and alignment with organizational objectives.

Leadership and Collaboration

As the Personal Lines Hub Leader and member of the PL Leadership Team, this role is responsible for participating and implementing PL's business strategy. Provide subject matter expertise to PL leaders in their functional area, staying up to date with best practices, technologies, and market trends. Collaborate with cross-functional teams, including Product, Actuary, Analytics, Underwriting, Distribution, IT, and Finance. Represent the organization to external stakeholders, including clients, partners, and regulators. Develop and implement training programs to ensure staff are equipped to handle new technologies and processes. Identify skill development needs, areas of improvement, and skill gaps within team members, and facilitate mentorship and learning opportunities to improve their skills. Ensure that new hires are seamlessly integrated into the team and culture. Act as a 'talent magnet' in the markets, universities, and internally. The PL Hub Leader plays a critical role in recruiting for positions within their job families and areas of expertise, assessing technical and domain-specific skills. Lead by example, conduct performance reviews in partnership with BI leaders, provide constructive feedback, and help FBS hub members grow their careers. Acts as a representative for any PL FBS needs, escalations, development, and support.

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We are looking for Associate Principal AI Data Scientists eager to utilise their expertise in these advanced technologies to revolutionise our drug development processes. In the Pharmaceutical Technology and Development (PT&D) department, you will be a key player in transforming molecules into groundbreaking medical treatments.

Your role involves contributing data science expertise into cross-functional global pharmaceutical development projects in support of transforming the way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems.

We are hiring two candidates for this position, and the roles will be based at our dynamic site in Durham (USA).

Work Modality: Hybrid (3 days office and 2 remote)

Accountabilities:

• Drive innovation in agentic AI, multi-agent systems, and digital twins, exploring new methodologies and applications.

• Design, implement, and optimise algorithms for autonomous decision-making, coordination, and policy learning among agents and digital twins using techniques like Markov Decision Processes (MDPs), Partially Observable MDPs (POMDPs), and multi-agent reinforcement learning (MARL).

• Evaluate agent performance in the context of decision making, collaboration, competition, uncertainty.

• Collaborate with cross-functional teams ensuring knowledge transfer to IT engineering teams for IT solution builds and deployment.

• Keep pace with industry advancements by reviewing academic papers and attending conferences. Publish findings in peer-reviewed journals and represent the company at scientific forums.

• Communicate technical concepts and results to technical and non-technical audiences.

Essential skills/Experience:

• Min Bachelor's degree in computer science, data science, artificial intelligence, machine learning or related fields.

• At least 3 years of experience in Deep Learning and ML.

• Excellent coding skills in languages such as Python, R.

• Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning.

• Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch,

• Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI

• Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines.

• Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI.

Desirable skills/experience:

• Contributions to open-source projects. If you meet these criteria, please highlight merged GitHub PRs in your application.

• Strong publication record in the field of AI.

• Experience designing multi-agent systems in the pharmaceutical sector.

• Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry.

• Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

AstraZeneca is a place where change is embraced, and new solutions are trialed with patients and business in mind. Here, technology is a key lever for delivering medicines quickly, affordably, and sustainably. Our diverse workforce is united by curiosity, sharing learnings to scale fast. Be part of a digitally-enabled environment that impacts all parts of the business,from robotic process automation to machine learning for quality batches,while contributing to society and the planet.

Ready to make a difference? Apply now to join our team!

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As a Lead RTL Design Engineer, you will be responsible for leading RTL design and implementation for high-performance mixed signal IPs including UCIe, DDR, and Die-to-Die interfaces. You will take technical ownership of assigned blocks, developing architecture and microarchitecture, and driving design reviews.

Key responsibilities include:

• Leading RTL design and implementation for high-performance mixed signal IPs
• Taking technical ownership of assigned blocks, developing architecture and microarchitecture, and driving design reviews
• Specifying, architecting, and implementing digital logic using Verilog/SystemVerilog
• Collaborating with circuit design, verification, physical design, and validation teams to ensure design closure and integration
• Driving logic synthesis, lint, clock domain crossing (CDC), design-for-test (DFT), and timing closure for your blocks
• Analyzing coverage, debugging functional and timing issues, supporting integration, and authoring technical documentation

In this role, you will contribute to Synopsys' reputation as a leader in advanced semiconductor design solutions. You will drive innovation in digital design and architecture, influencing key product features and capabilities. You will ensure the delivery of high-quality, reliable, and scalable IPs that meet stringent market requirements.

As a leader, you will foster a culture of continuous learning, inclusivity, and creative thinking, empowering your peers and advancing the team's collective success. You will be motivated by working on cutting-edge IPs such as UCIe, DDR, and Die-to-Die interfaces, and you will stay current with industry trends and emerging technologies, including AI/ML.

You will join a dynamic, high-performing engineering team at Synopsys Bangalore, focused on designing and delivering advanced mixed signal IPs for leading-edge semiconductor applications. The team prides itself on technical excellence, collaboration, and innovation, working closely with global counterparts across design, verification, and product engineering.

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Aladdin Portfolio Management Engineering is a global team of passionate product engineers who are on a mission to build out a next generation platform of persona based, workflow driven experience with a horizontally scalable & modular architecture.

Responsibilities:

• Hands-On Technical Delivery - actively lead or contributed to enterprise-level projects, spanning Technical Design and Deployment Readiness Reviews, Core Reviews, and comprehensive engagement across the full PDLC.

• Accelerate productivity with an AI-enabled PDLC with a strong focus on quality & resiliency.

• Provide operational excellence to our clients with production support with an “SRE” mindset.

• Influence and mentor other engineers in the team, raising the bar on technical excellence.

• Collaborate in a global, multi-office environment, aligning teams across geographies around shared architectural vision.

• Champion a strong engineering culture grounded in continuous learning and optimizing to best practices such as DORA.

• Build domain and technical context quickly and translate that into specifications, plans and actionable Agile backlogs.

Qualifications:

• B.S. / M.S. degree in a STEM field such as Computer Science or Engineering

• 6+ years of proven experience

Skills and Experience:

• Proven experience operating as a Senior Engineer or Team Lead, defining and delivering technical projects across initiatives with Agile Practices such as Lean or Scaled Agile.

• Demonstrated ability to act as a work definer at scale: shaping ambiguous problem spaces into well-structured initiatives, clear architectural runways, and executable delivery plans.

• Strong background designing enterprise scale, distributed systems, balancing functional requirements with non-functional concerns such as resiliency, scalability, latency, and operability.

• Hands on experience with AI enabled SDLC / PDLC practices, including using AI to accelerate design exploration, prototyping, and architectural decision making, applying AI assisted development, testing, code review, and documentation practices, embedding AI capabilities into product workflows and platform services responsibly and securely, and frameworks such as Windsurf & Cursor and GitHub Copilot.

• Ability to partner effectively with Product Management, Engineering, and Business leaders to translate strategic objectives into coherent architectural strategies.

• Excellent communication and influencing skills, able to articulate complex architectural and technical concepts to senior stakeholders and align diverse teams behind a shared technical vision.

• Track record at articulating architectural tradeoffs and design options, including impacts on scalability, resilience, cost, and delivery velocity.

• A proven foundation in modern languages such Core Java and UI technologies such as React & Angular.

• Experience of API design principles & Event Driven Architecture.

• Rigorous approach to quality through demonstrable TDD & BDD experience.

Nice to have and opportunities to learn:

• Expertise in Domain Driven Design (DDD), including domain modelling and aligning architecture to complex business domains.

• Front office Portfolio Management or Wealth Management domain experience, with a strong understanding of investment workflows, decision making processes, and the role of technology in supporting portfolio managers and advisors.

• Domain knowledge of asset classes & analytics (e.g., equities, fixed income, multi asset, alternatives) and how their characteristics influence risk, performance, liquidity, and system design.

• Experience with portfolio construction concepts, including asset allocation, constraints, benchmarks, rebalancing, and optimization, and how these map to scalable platform and architecture decisions.

• Exposure to event driven architectures at scale, including microservices, messaging, and streaming platforms aligned to business domains.

• Experience shaping or contributing to platform strategies that enable multiple product teams to move faster with consistency and autonomy.

• Familiarity with cloud native and hybrid architectures, including patterns for scalability, resilience, and cost aware design in large enterprises – including frameworks like Kubernetes.

• Exposure to modern DevOps and platform engineering practices that support high throughput, high quality delivery at enterprise scale, and demonstrable improvements across DORA metrics.

• Familiarity with micro frontend architectures, including their use in large scale, multi team environments to enable independent domain ownership, parallel delivery, and consistent user experiences across complex platforms.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

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BlackRock Inc. is a preeminent global firm, providing investment management, risk management and advisory services to institutional and individual investors around the world. Aladdinis the investment management platform that provides asset managers, asset owners and asset servicers sophisticated risk analytics with comprehensive portfolio management, trading and operations tools on a single platform to power informed decision-making, effective risk management, efficient trading and operational scale across both public and private markets.

Aladdin is currently a $1bn technology business with a rapidly expanding landscape that has significant growth aspirations over the next five years. The Aladdin Platform team is responsible for engineering and operating the core service layer that powers Aladdin. We sit at the center of enabling the delivery of products and features in Aladdin for BlackRock and the largest financial institutions in the world. As the pace of growth of Aladdin accelerates, the Platform Team is laser focused on the speed of product delivery, execution predictability and quality. The Platform team is responsible for a suite of foundational and modern products including our Developer Platform, Core Infrastructure and our Mission Control Platform. The Platform product management office helps to catalyze our engineering community, delivering well-defined Platform products that have clear outcome-oriented roadmaps and efficient and predictable delivery.

About the Role

Team: Release Engineering

We are seeking a passionate and technically fluent Product Manager to join our Release Engineering team. This role is ideal for someone who thrives in developer-centric environments, understands engineering workflows, and can translate developer needs into actionable product priorities. You will serve as the critical interface between our internal developer community and the engineering team, ensuring that our release platform remain stable, scalable, and optimized for productivity. The success in this role hinges on your ability to actively listen, thoughtfully prioritize developer needs, and collaborate effectively with engineering partners to drive impactful solutions. As a trusted product expert, you will take ownership of the roadmap and deliver features related to a strategic effort to shape the future of developer environments for the organization.

Key Responsibilities

• Gather, evaluate & define detailed product requirements, use cases, user stories, and user journey maps necessary to deliver a feature to users.

• Partner with engineering leads to scope, refine, and deliver features. Ensure alignment across squads and maintain velocity through agile ceremonies and sprint planning.

• Become the go-to person for the product, growing expertise in the product’s full capabilities.

• Track feature progress throughout the month and be able to report to senior members of the team.

• Manage stakeholders and the product backlog for client feedback, roadmap, epic and feature prioritization, and new requests against client commitments.

• Articulate, communicate, and demo upcoming release details and new features to the broader product, client and relevant teams.

• Participate in PDLC practices, such as quarterly planning, backlog grooming, sprint planning, and delivery demos.

• Coordinate the agenda and product artifacts for product governance forums and joint working groups. Summarizing decisions, next steps, and feedback on product readiness for stakeholders.

• Manage dependencies across teams to ensure alignment and mitigate risks.

Required Skills & Experience

• 4+ years of product management experience, ideally in platform or developer tooling domains.

• Strong interpersonal skills with a proven ability to build trust and rapport with engineering teams.

• Excellent analytical and problem-solving skills with a user-first mindset.

• Exceptional written and verbal communication skills with the ability to present complex information clearly and concisely

• Experience working in multi-functional teams with low interdependency and high autonomy.

• Experience in agile product development and backlog management.

• Ability to synthesize technical feedback into clear product requirements.

• Strong working knowledge of agile methodology and help team in the sprint planning and daily stand ups.

Preferred Qualifications

• Bachelor’s degree required; Computer Science or Engineering disciplines preferred.

• Familiarity with CI/CD, segmented environments, and developer productivity metrics.

• Hands on development experience would be greatly beneficial

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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As a Principal ASIC Digital Design Engineer, you are a trailblazer who thrives in dynamic environments and is passionate about pushing the boundaries of semiconductor technology. You bring a deep understanding of digital design methodologies, paired with a creative approach to problem-solving and a tenacious drive to deliver robust solutions.

You are not only technically proficient in RTL coding and digital verification, but you also bring a practical understanding of synthesis flows, DFT, and production testing. Your scripting skills in Shell, Perl, Python, and TCL enable you to automate tasks and streamline development workflows.

You will design and verify advanced digital circuits for PAM-based SerDes PHY IP, ensuring robust and high-performance mixed-signal solutions. You will develop RTL code, model analog blocks, and craft complex system-level testbenches in Verilog to validate functionality and performance.

You will collaborate with Application Engineers, Analog, and P&R teams to resolve technical issues, provide customer support, and ensure successful product deployment. You will mentor junior engineers, foster knowledge sharing, and contribute to a culture of innovation and continuous improvement.

You will drive the development of next-generation SerDes solutions, powering high-speed data transmission in cutting-edge applications. You will enable customers to achieve superior performance and reliability in their semiconductor products through innovative digital design.

You will need a Bachelor's or Master's degree in Electrical Engineering (BSEE or MSEE) with at least 10 years of industry experience in digital design and verification. You must be familiar with Verilog and VCS. Good knowledge of back-end synthesis tools DC/PT is required. You must have knowledge of digital design methodologies, ATE production testing, DFT insertion, Synthesis constraints and flows. Scripting experience in Shell, Perl, Python, and TCL is a plus.

You will join a highly experienced mixed-signal design and verification team, focused on advancing the capabilities of PAM-based SerDes products. The team is comprised of digital and mixed-signal engineers who work collaboratively from specification development through prototype testing.

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The Director will also partner with clients to originate, prioritize, and advance complex cross-platform opportunities, including strategic partnerships, co-investments, bespoke solutions, and product co-creation. They will lead end-to-end execution of initiatives via content-led project management, setting direction, sequencing work, and making trade-offs across competing priorities.

Additionally, the Director will coordinate seamlessly across existing coverage/sales teams, regional leads, and investment teams to deliver the full BlackRock platform. They will support the allocation of firm resources intentionally toward the highest-impact initiatives, ensuring clarity of ownership and accountability.

The Director will build and lead high-performing teams by coaching, developing, and elevating VPs, Associates, and Analysts. They will create leverage by raising judgment, execution quality, and ownership across the team.

Experience/Qualifications:

• 10+ years of relevant experience across capital markets, advisory, sales, or transaction-oriented roles with demonstrated decision proximity and ownership of outcomes
• Deep asset class expertise, with the ability to lead senior client conversations credibly and exercise sound judgment across complex investment and portfolio topics
• Demonstrated domain expertise in one or more core GPO client segments (i.e., global banks, insurers, sovereign wealth funds, or large public pensions), including fluency in their operating models, governance, and investment priorities
• Proven track record of owning and converting complex commercial initiatives across multiple stakeholders
• Strong problem-solving and analytical capability, paired with an advisory mindset and the ability to translate content into action through disciplined, end-to-end execution
• High operating maturity, with the ability to prioritize, make trade-offs, and deliver outcomes in ambiguous, high-pressure environments
• Excellent written and verbal communication skills, with experience producing senior-level materials and engaging confidently with executive audiences
• Prior experience leading and developing talent, with a clear commitment to building team leverage

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The ideal candidate should have a deep understanding of agile methodologies, experience in the insurance sector, and possess the ability to translate complex needs into actionable tasks for the development team.

Key responsibilities include defining and communicating the vision, roadmap, and backlog for data products, managing team backlog items and prioritising based on business value, and translating business requirements into scalable data product features.

The Product Owner III will also champion data governance, privacy, and compliance best practices, act as the voice of the customer to ensure usability and adoption of data products, and lead Agile ceremonies such as backlog grooming, sprint planning, and demos.

Additionally, the Product Owner III will monitor data product performance and continuously identify areas for improvement, support the integration of AI/ML solutions and advanced analytics into product offerings, and collaborate with data engineers, analysts, and business stakeholders to prioritise and deliver impactful solutions.

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This group is also accountable for analytics production, enhancing the infrastructure platform, and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community).

The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise.

We are looking to hire a senior quant modeler (VP) to join our Private Asset Market Risk Modeling team to drive the development of risk factor models for private market investments.

The Private Asset Market Risk team builds a range of models, including private equity, real estate, credit, infrastructure, and hedge funds, with sophisticated econometric/statistical methods and tools.

These models have real practical value and have a very large footprint of usage across the entire Aladdin client base including portfolio managers, risk managers, and allocators and influence investment activity.

As a result, we place special emphasis on developing models that scale with our growing Analytics' business and ensuring adherence to BlackRock's rigorous standards of model governance.

This individual would have a strong background in quantitative research, have demonstrable project management skills as well as proven experience to work in a team environment as well as collaborating with senior modelers from other groups/regions.

This person is expected to join as an individual contributing to the design and development of our private market risk models, particularly in the private credit (i.e., real estate debt, infrastructure debt) space.

Develop private credit risk factor models and back test, document, and guide new models and methodologies through validation.

Collaborate with partner teams on model productionization

Build and maintain model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations

Communicate (verbally and in writing) with internal stakeholders and external clients on the design, backtesting, and usage of the models. Discuss model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations

Extensive experience in quantitative field / statistical modeling. Experience with one or more of the following is preferred: risk factor models and analytics, domain knowledge of fixed income securities, applications of ML/AI techniques.

Master's or PhD degree in a quantitative discipline or one that relates to application of quantitative techniques in finance (financial engineering, math finance, etc.). Master's degree with 5+ years or PhD degree with 3+ years of experience.

A strong background in data-driven quantitative research, econometrics, and empirical asset pricing

Hands-on experience with statistical modeling through software (e.g., Python, R) and strong background in programming. Proficiency with Python is required

Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models

Knowledge of investments, portfolio management is preferred

Experience with any version control system (e.g., git) is strongly preferred

Prior work experience in financial modeling (e.g., risk models, analytics, pricing/valuation models) or data science and model deployment to production environment is a plus

Resourcefulness and strong problem-solving skills even in the face of constraints, limited options, or uncertainties

Ability to work effectively with a team of highly motivated individuals

Time and project management skills

Proven track record of guiding junior talent

Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment

Excellent communication and presentation skills

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

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The role requires specialized depth and/or breadth of expertise in System Architecture or field to design and develop more complex physical architecture to support a specialized, specific system/platform, in alignment with system standards and principles. You will be instrumental in modernizing commercial lines,including bureau-based products, ensuring that our platform is scalable, resilient, and capable of supporting emerging technologies like AI/ML and advanced analytics.

Key responsibilities include reviewing detail design and code to ensure alignment to high-level design and architecture, executing POCs and pilots on platform to highlight quick business outcomes, working independently with guidance in only the most complex situations, and providing strong influences and accountability to the success of the vendor roadmap to maximize value delivered by platform.

In addition, you will be responsible for solution and strategic design, commercial domain alignment, stakeholder liaison, framework governance, complex integrations, mentorship, cloud migration, DevOps and automation, performance engineering, and AI-driven business value.

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Key Responsibilities:

ServiceNow Development & Customization

Design, develop, and enhance ServiceNow applications and modules.

Hands-on development across ITSM, ITOM, CMDB, and Service Catalog.

Build and maintain:

Business Rules

Client Scripts

Script Includes

UI Policies

UI Actions

ACLs (Access Controls)

Workflows & Portal Development

Build workflows using Flow Designer and Workflow Editor.

Configure and enhance Service Portal / Employee Center.

Integrations & Platform Support

Implement integrations using REST, SOAP, MID Server, and IntegrationHub.

Perform unit testing, defect fixing, and code optimization.

Support platform upgrades, feature enhancements, and L3 production issues.

Governance & Best Practices

Follow ServiceNow coding standards, platform best practices, and security guidelines.

Collaborate closely with architects and product owners to ensure scalable and maintainable solutions.

Requirements

Required Experience:

Experience: 5 years to 12 years

Strong hands-on experience with ServiceNow development.

Proficiency in JavaScript, Glide APIs, and ServiceNow scripting.

Solid understanding of ITSM processes (Incident, Problem, Change, Request).

Experience with CMDB, Discovery, and Service Mapping.

Experience integrating ServiceNow using REST/SOAP.

Working knowledge of Agile/Scrum methodologies.

Experience in GRC

Preferred Qualifications:

ServiceNow certifications such as CSA (Certified System Administrator) and CAD (Certified Application Developer).

Experience working in GCC or global delivery models.

Exposure to Service Portal / Employee Center development.

Good understanding of the Insurance domain.

Benefits

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses

1. Comprehensive benefits package

1. Career development and training opportunities

1. Flexible work arrangements (remote and/or office-based)

1. Dynamic and inclusive work culture within a globally renowned group

1. Private Health Insurance

1. Pension Plan

1. Paid Time Off

1. Training & Development

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We don't have a local legal entity, so we've partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.

As a Distribution Hub Leader, you will contribute to business strategy, integrate into the BU senior leadership team, lead initiatives at a senior level, measure and exceed key performance outcomes, track plans vs. actuals and roadmap planning, and mitigate issues at an early stage. This position focuses on enhancing collaboration, process improvement, and skill development within specific functions across Farmers' Lines of Business (LOBs).

Key responsibilities include:

• Strategy Implementation and execution: Participate and implement the LOB business strategy.
• Subject-Matter Expertise: Provide subject matter expertise to Farmers LOBs in their functional area, staying up to date with best practices, technologies, and market trends.
• Data Analytics Strategy: Develop and implement data analytics strategies to improve operational efficiency, identify trends, and make data-driven decisions.
• Operational Strategy: Leverage technology to improve operational efficiency, improve prospect quality, and increase gross written premium for Farmers and Farmers Agents.
• Domain Expertise and Talent Development: Prioritize domain expertise and knowledge-sharing within their craft, ensuring consistency and best practices across organisation, fostering a culture of high performance and continuous improvement, and establishing clear career paths and development plans for team members.
• Knowledge Sharing: Promote knowledge sharing and exchange within team members, ensuring best practices are shared and implemented across different areas and departments.
• Skill Development and Mentorship: Identify skill development needs, areas of improvement, and skill gaps within team members, and facilitate mentorship and learning opportunities to improve their skills.
• Performance Management: Lead by example, conduct performance reviews in partnership with Farmers managers, provide constructive feedback, and help hub members grow their careers.
• Collaboration and Communication: Foster collaboration and communication between members of different departments within their allocated teams.
• Recruitment: Act as a 'talent magnet' in the markets, universities, and internally. Hub Leaders play a critical role in recruiting for positions within their job families and areas of expertise, assessing technical and domain-specific skills.
• Integration of New Hires: Ensure that new hires are seamlessly integrated into the team and culture.
• Empowerment: Empower team members to self-organize and make decisions within specific delegation of authority.

Requirements:

• Proven experience in senior leadership roles, preferably within a similar industry.
• Strong domain-specific skills relevant to the Business Unit.
• Demonstrated ability to recruit, assess, and hire top talent.
• Experience in leading initiatives and assignments at a senior level.
• Ability to contribute meaningfully to business strategies and roadmap planning.
• Strong performance management skills, including conducting performance reviews and providing constructive feedback.
• Excellent communication and collaboration skills.
• Ability to foster a culture of high performance and continuous improvement.
• Experience in promoting knowledge sharing and best practices.
• Proven track record of integrating new hires and building strong team cultures.
• Ability to empower team members and delegate authority effectively.
• Insurance (P&C/Personal Lines) background experience is required
• Fluent in English

This position comes with a competitive compensation and benefits package, including a competitive salary and performance-based bonuses, comprehensive benefits package, flexible work arrangements, private health insurance, paid time off, and training & development opportunities in partnership with renowned companies.

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Key Responsibilities:

• Work on multiple projects simultaneously, prioritizing tasks and managing deadlines
• Collaborate with developers, designers, and product managers to deliver high-quality products
• Participate in code reviews, ensuring that code meets the highest standards of quality and maintainability
• Identify and report technical issues, suggesting solutions and implementing fixes
• Stay up-to-date with the latest technologies and trends, applying this knowledge to improve our products and processes

Requirements:

• Minimum 7 years of experience in software development
• Bachelor's degree in Computer Science or related field
• Strong understanding of software development principles and practices
• Excellent problem-solving skills, with the ability to analyze complex issues and develop effective solutions
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Proficiency in Java, Gosu, and Guidewire Policycenter Configuration
• Intermediate-level problem-solving and analytical skills

Benefits:

• Competitive compensation and benefits package
• Comprehensive benefits package
• Career development and training opportunities
• Flexible work arrangements (remote and/or office-based)
• Dynamic and inclusive work culture within a globally renowned group
• Private Health Insurance
• Pension Plan
• Paid Time Off
• Training & Development

Note: Benefits differ based on employee level.

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You will be instrumental in modernizing commercial lines,including bureau-based products, ensuring that our platform is scalable, resilient, and capable of supporting emerging technologies like AI/ML and advanced analytics.

Key Responsibilities:

• Requires specialized depth and/or breadth of expertise in System Architecture or field to design and develop more complex physical architecture to support a specialized, specific system/platform, in alignment with system standards and principles.

• Reviews detail design and code to ensure alignment to high level design and architecture. Informally influences and works to solve complex problems to lead technical planning, architecture development and modification of physical specifications for a specific technology/platform.

• Executes POCs and pilots on platform to highlight quick business outcomes.

• Works independently, with guidance in only the most complex situations including pilot execution and assessment of system performance, scalability, and health.

• Responsible for definition and alignment on system standards and principles. May lead or oversee complex or cross-functional projects and manage relationships with vendors/contractors.

• Provides strong influences and accountability to the success of the vendor roadmap to maximize value delivered by platform.

Solution & Strategic Design • Target State Architecture: Design, build and maintain the end-to-end modernization roadmap, describing the evolution from legacy on-premises mainframe environments to a unified Guidewire Cloud future state.

Commercial Domain Alignment: Partner with business leaders to translate complex commercial insurance requirements (e.g., multi-location policies, diverse risk assessments) into scalable platform configurations.

Stakeholder Liaison: Act as a trusted advisor to key stakeholders, aligning technical modernization milestones with broader business value and organizational agility. Technical Leadership & Governance

Framework Governance: Establish and enforce standards for Gosu scripting, APD design, JDP UI/UX and the Guidewire data model to minimize technical debt and ensure 'evergreen' compatibility.

Complex Integrations: Oversee the design of robust integration layers using REST /Cloud APIs and messaging frameworks to connect Guidewire with third-party data services (e.g., LexisNexis, Verisk) and internal core systems, like Salesforce (CRM), Earnix (Rating) etc.

Mentorship: Provide hands-on guidance to development teams, conducting critical code reviews, as needed and leading troubleshooting efforts for complex system issues. Cloud & Modernization Orchestration

Cloud Migration: Lead the technical strategy for migrating on-premises legacy mainframe policy admin system to the Guidewire Cloud Platform (GWCP).

DevOps & Automation: Establish CI/CD pipelines, automated testing strategies, and observability frameworks tailored for cloud-native Guidewire deployments.

Performance Engineering: Optimize cloud-native implementations for high-speed, transaction-heavy commercial operations, ensuring security and regulatory compliance.

AI-Driven Business Value: Design and implement 'Agentic AI' pilots, such as the Underwriting Assistant, to automate manual triage and data enrichment.

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The role focuses on the research, prototyping, evaluation, and improvement of AI solutions, with hands-on work across LLM-based systems, including agent-style workflows and retrieval-augmented generation (RAG) where appropriate. You will work end-to-end: collaborating with stakeholders and product managers to define problems, building and validating prototypes, presenting findings to diverse audiences, and supporting engineering teams during implementation and production rollout.

Key Responsibilities:

End-to-end AI solution ownership

• Own AI projects or functional modules from problem definition through prototype validation and production support.

• Partner with product managers and business stakeholders to translate real-world problems into clearly scoped data science and AI initiatives.

• Independently plan and execute research, experimentation, and iteration cycles in ambiguous problem spaces.

• Design AI solutions with a system-level perspective, ensuring scalability, maintainability, and long-term sustainability.

Applied AI, LLMs, and agentic systems

• Design and prototype LLM-powered solutions, including RAG-based systems and agent-like workflows (e.g. tool use, orchestration, multi-step reasoning).

• Contribute to defining system behavior, scope, and constraints, with attention to quality, robustness, and operational considerations.

• Stay current with emerging AI techniques and apply them pragmatically to solve business problems.

Evaluation, validation, and performance improvement

• Build and maintain evaluation frameworks to assess AI system performance (accuracy, reliability, relevance, robustness, safety).

• Develop quantitative and qualitative metrics, benchmarks, and testing approaches to validate prototypes and track improvements.

• Analyze existing solutions to identify gaps and drive continuous, data-driven performance enhancements.

Collaboration and communication

• Work closely with data scientists, engineers, and product teams to ensure smooth transition from prototype to production.

• Clearly communicate methods, assumptions, results, and limitations to technical and non-technical audiences.

• Support engineering teams during implementation by clarifying evaluation criteria, edge cases, and expected system behavior.

• Serve as a technical authority and actively mentor junior data scientists, shaping best practices in experimentation, evaluation, and AI system design.

Ways of working

• Contribute actively within an Agile / SCRUM development environment.

• Apply good engineering hygiene in research and prototype code to enable reproducibility and collaboration.

Required Qualifications

• 6+ years of experience in data science, applied machine learning, or a closely related role.

• Strong mathematical, statistical, and machine learning foundations, including probability, statistics, optimization, and model evaluation.

• Proven ability to select, apply, and critically evaluate ML models and algorithms for real-world problems.

• Strong Python skills for analysis, modelling, experimentation, and prototyping.

• Strong SQL skills for data exploration, transformation, and analytical workflows.

• Excellent analytical thinking and problem-structuring abilities; comfort operating independently with loosely defined goals.

• Experience using Git for version control and collaborative development.

• Strong English communication skills, both written and verbal.

Preferred Qualifications (Strong Plus)

• Hands-on experience with LLMs, including prompt/system design and building real-world applications.

• Experience with RAG systems, including retrieval strategies, chunking, evaluation, and performance tuning.

• Experience designing or contributing to agent-style AI systems and familiarity with concepts such as agent evaluation, guardrails, and reliability testing.

• ML modeling experience (e.g. supervised learning, ranking, classification) beyond exploratory analysis.

• Understanding of software engineering best practices, including testing strategies and CI/CD concepts.

• Experience working in Azure or similar cloud environments.

• Familiarity with Snowflake (and optionally Snowflake AI) as part of a modern data stack.

• Experience collaborating closely with domain experts; financial domain exposure is a plus but not required for strong technical candidates.

What Success Looks Like in This Role

• You independently deliver high-quality AI prototypes and evaluation frameworks for a defined subdomain or application module.

• You proactively define scope, success metrics, and experimentation plans, helping shape architecture and design decisions.

• Your evaluation approaches enable reliable comparison, regression prevention, and continuous improvement of AI solutions.

• Engineering teams can confidently productionize your work thanks to clear designs, metrics, and collaboration.

• Over time, you raise the technical maturity of AI development and evaluation practices within the team.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

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As a R&D Software Engineer, you will accelerate time-to-market objectives for leading-edge customers in the semiconductor industry. You will enhance the reliability and usability of industry-leading CAD Navigation tools. You will enable efficient IC and SoC failure analysis, improving customer satisfaction. You will drive innovation by contributing fresh ideas and creative solutions. You will promote a culture of collaboration, learning, and technical excellence within the team. You will support Synopsys' mission to lead in chip design, verification, and IP integration.

To succeed in this role, you will need strong proficiency in C++ programming, STL and Object-Oriented Programming (OOP). You will also need good understanding of Data Structures and Algorithms (DSA). Familiarity with CAD, geometry, and graphics concepts and design patterns is a plus. Experience with Qt framework and EDA domain knowledge is also desirable.

As a team player, you will be effective in communicating with cross-functional teams. You will be proactive and inquisitive, with a fast learning curve. You will be detail-oriented and committed to delivering high-quality work. You will be a resourceful problem solver who approaches challenges creatively. You will value open communication and teamwork, readily sharing knowledge and supporting your peers.

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You will build and operate backend services that orchestrate multiple text-to-speech (TTS) providers, alongside Synthesia's in-house models, delivering a seamless and consistent experience to end users despite underlying system complexity.

You will be responsible for designing and evolving systems that handle provider reliability, request routing, and output consistency, ensuring users can generate and regenerate voice content with predictable, high-quality results.

You will contribute to user-facing product problems from a backend perspective, working closely with frontend engineers to ensure APIs and workflows integrate cleanly into the product experience.

You will own projects that span multiple systems and domains, such as:

• Building robustness layers (retries, throttling, failover) to handle unreliable third-party providers

• Designing persistence systems to ensure consistent voice outputs across generations

• Improving how voice data is stored, retrieved, and reused

You will also work on newer initiatives around voice discovery and recommendations, helping users find the best voices by building evaluation systems, improving recommendation logic, and adding observability to monitor quality.

You will evaluate your work through system performance and user experience metrics, using observability to debug and continuously improve reliability.

You will collaborate closely with product, frontend, and R&D teams, ensuring backend systems support both current product needs and future innovation.

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The Associate Quality Designer position will require you to provide an oversight of our quality processes and establish best practices for our analyst family together with our leadership team. You will oversee the entire quality plan for one of the modules of the team located in Hyderabad in collaboration with our partners, and partner with the Producer and/or Designer to agree on the quality and feedback for new features.

Responsibilities:

• Leverage testing skills and methodologies to systematically test the product and share results
• Help evolve the team’s tools and processes with a focus on expanding capabilities and responsibilities, along with introducing more efficient and accurate practices
• Ensure that strategies, plans and other best practices laid out are followed by the team.
• Promote a “player-oriented” approach and help achieve a high-quality experience for the players

Quality and Data Analysis:

• Report high impact or complex bugs and provide actionable feedback to improve the quality of the game for players
• Evaluate and adopt the latest and best practices from other teams, departments or the industry

Collaboration and Communication:

• Build partnerships/Collaborate with QV partners, development, production, and design teams.
• Provide progress and status updates through reporting and verbal communication, where needed.
• Work with multiple teams to drive features through project milestones

Mentorship and Team Support:

• Mentor and support team members with QA deliverables and implementation of quality strategies
• Drive improvements and knowledge sharing across teams

Our Requirements:

• 5+ years of experience in software development, quality assurance, or game design
• Understanding of quality assurance processes, workflows, and defect and task tracking software
• Familiarity with bug prevention and containment strategies
• Game Domain knowledge, with inclination towards playing video games for driving end-to-end quality plan throughout the game/pack cycle

Skills and Abilities:

• Ability to Create test plans, design test strategies and communicate them effectively.
• Passion for creating high-quality player experiences
• Excellent collaboration and communication skills

Path to becoming a Quality Designer:

• Learn More about the Quality Verification and Standards (QVS) team at EA.
• From Government to Game Development, Jessica Makes a Move. Learn More
• Barbara Homewood had her heart set on becoming a Librarian and is now a Quality Designer at EA. Learn More
• One of our leaders, Ravi Minhas, shares what he is looking for in a Quality Designer. Does this sound like you? Learn More

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The Software Engineer III will report to the Technical Director.

Responsibilities:

• Operate with a sense of ownership.
• Design, develop, and run a fast, scalable, highly available game service all the way from conception to delivery to live service operations
• Work with designers, client engineering, and production teams to achieve gameplay goals
• Implement security best practices and original techniques to keep user data secure and prevent cheating
• Create and run automated testing, readiness testing, and deployment plans
• Monitor the performance and costs of the server infrastructure to improve our game
• Design and implement data transformation layers
• Collaborate with game server and web frontend teams to define API contracts
• Manage Release Ops / Live Ops of web services

Qualifications:

We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialogue to be considered.

• 8+ years development of scalable back-end services
• BS degree in Computer Science or equivalent work experience
• Proficiency in Java required
• Proficiency in using frameworks such as Spring Boot
• Knowledge of paradigms like Domain Drive Development
• Experience with Cloud services like Amazon Web Services or Google Cloud Platform
• Experience with Redis
• Experience with Database Design and usage of large datasets in both relational (MySQL, Postgres) and NoSQL (Couchbase, DynamoDB) environments
• Experience defining API contracts and collaborating with cross-functional teams

Bonus:

• 3+ years of experience developing games using cloud services like AWS, Azure, Google Cloud Platform, or similar
• Proficient in technical planning, solution research, proposal, and implementation
• Background using metrics and analytics to determine the quality or priority
• Comfortable working across client and server codebases
• Familiar with profiling, optimising, and debugging scalable data systems
• Passion for making and playing games

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Key responsibilities include:

• Supporting the implementation and ongoing maintenance of ontology enablement practices and operating model strategy to support AI, analytics, and digital initiatives across multiple Business Units
• Applying established standards for semantic modeling, domain alignment, concept reuse, and ontology lifecycle management
• Serving as the enterprise subject-matter authority for ontology-related topics, providing recommendations and guidance to governance and leadership forums
• Collaborating with Global IT and enterprise data architecture to ensure ontology practices align with enterprise data platforms and Control Tower operational processes

In addition to your technical expertise, you will also be responsible for partnering with Business Units to understand domain concepts, terminology, operational data, and AI use cases, translating them into ontology-aligned data structures. You will guide Business Units in contributing domain models, metadata, and data assets into the enterprise ontology using defined governance and intake processes.

To be successful in this role, you will need to have a strong ability to translate technical platforms, workflows, and constraints into business-understandable guidance, as well as experience enabling and educating data stewards and establishing sustainable governance workflows. You will also need to be able to influence senior technical and business stakeholders without direct authority, and have sound judgment in balancing short-term delivery needs with long-term semantic and architectural sustainability.

If you have a passion for data and ontology, and are looking for a challenging and rewarding role, we encourage you to apply.

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The Server Engineer will report to the Technical Director.

Responsibilities:

• Design, develop, and run a fast, scalable, highly available game service all the way from conception to delivery to live service operations
• Work with designers, client engineering, and production teams to achieve gameplay goals
• Implement security best practices and original techniques to keep user data secure and prevent cheating
• Create and run automated testing, readiness testing, and deployment plans
• Monitor the performance and costs of the server infrastructure to improve our game
• Design and implement data transformation layers
• Collaborate with game server and web frontend teams to define API contracts
• Manage Release Ops / Live Ops of web services

Qualifications:

We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialogue to be considered.

• 6+ years development of scalable back-end services
• BS degree in Computer Science or equivalent work experience
• Proficiency in Java required
• Proficiency in using frameworks such as Spring Boot
• Knowledge of paradigms like Domain Drive Development
• Experience with Cloud services like Amazon Web Services or Google Cloud Platform
• Experience with Redis
• Experience with Database Design and usage of large datasets in both relational (MySQL, Postgres) and NoSQL (Couchbase, DynamoDB) environments
• Experience defining API contracts and collaborating with cross-functional teams

Bonus:

• 3+ years of experience developing games using cloud services like AWS, Azure, Google Cloud Platform, or similar
• Proficient in technical planning, solution research, proposal, and implementation
• Background using metrics and analytics to determine the quality or priority
• Comfortable working across client and server codebases
• Familiar with profiling, optimising, and debugging scalable data systems
• Passion for making and playing games

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You will work with a team of system, hardware, software, and controls engineers to deliver concept and production level software. Your responsibilities will include developing and executing test cases for MIL/SIL verification of feature model function and evaluating feature model behavior and impact on customer experience.

To succeed in this role, you will need a Bachelor's Degree in Electrical, Computer Science, Mechanical, System Engineering, or a related field, and 3+ years of experience with software development using MathWorks toolchain (Matlab/Simulink/Stateflow) in the automotive domain or similar complex electromechanical systems.

As an established global company, Ford offers a range of benefits, including immediate medical, dental, vision, and prescription drug coverage, flexible family care days, paid parental leave, and tuition assistance.

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$257K – $327K • 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.

About the Team

OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners.

About the Role

We are seeking a mid to senior OT Network Engineer with a strong controls systems background to lead the design and operation of resilient, secure, and scalable OT network architectures for high-density AI data centers. This role translates compute, power, cooling, and operational requirements into practical OT network designs, evaluates vendor solutions, and drives technical decisions across controls infrastructure, telemetry, commissioning, and operations.

Key Responsibilities

• Define controls, automation, and OT network requirements for AI data center campuses.

• Develop reference architectures, engineering standards, and reusable design templates.

• Review and develop basis-of-design and functional design documents, including OT network diagrams, IP/VLAN schemes, telemetry architectures, data flow diagrams, and commissioning requirements.

• Design OT and infrastructure network architectures, including physical topology, logical topology, IP addressing, subnetting, VLANs, routing, switching, redundancy, segmentation, firewall policy coordination, out-of-band management, monitoring, and remote access patterns.

• Develop day-two network operations requirements, including change management, configuration backups, golden configurations, monitoring thresholds, firmware lifecycle, rollback plans, and post-change validation.

• Partner with electrical, mechanical, IT/networking, security, and operations teams to ensure OT network systems align with GPU deployments, campus-wide telemetry, and failure-domain isolation requirements.

• Define integration patterns and protocol requirements across BACnet/IP, BACnet MSTP, Modbus TCP/RTU, OPC UA, IEC-61850 MMS/GOOSE, MQTT, SNMP, syslog, NTP/PTP, IRIG-B, and vendor-specific interfaces.

• Lead technical evaluation of controls integrators, network equipment suppliers, design consultants, contractors, and commissioning agents

• Review network equipment submittals, configurations, firmware assumptions, certifications, test reports, and quality documentation.

• Support factory witnessed testing (FWT), site acceptance testing, network readiness checks, failover testing, and integrated systems testing.

• Troubleshoot complex controls network issues including packet loss, latency, duplicate IPs, routing errors, firewall drops, protocol incompatibilities, time synchronization drift, and intermittent device communication failures.

Qualifications

• 8+ years of relevant experience in controls engineering, industrial automation, OT networking, mission-critical facilities, or similar critical infrastructure environments.

• Strong expertise in resilient OT network architecture, implementation, troubleshooting, and lifecycle support.

• Experience with OT/IT boundary design, secure enterprise integration, firewall policy design, redundant topologies, out-of-band management, and monitoring.

• Hands-on experience with Layer 3 OT network design, including IP addressing, subnetting, routing, VRFs, ACLs, inter-VLAN traffic control, and network segmentation.

• Hands-on experience with Layer 2 security and switching controls, including MACsec, port security, loop prevention, and switch-level access control.

• Hands-on experience in designing resilient OT network topologies using industrial redundancy protocols and architectures such as PRP, HSR, Cisco REP, RSTP/MSTP, and ring or star topologies.

• Hands-on experience in designing resilient infrastructure network architectures using HSRP/VRRP, spine-leaf topologies, redundant uplinks, and failure-domain isolation.

• Hands-on experience with industrial and infrastructure network equipment such as Cisco switches/routers, Juniper switches/routers, Palo Alto firewalls, Rockwell Automation Stratix switches, Siemens Ruggedcom or comparable industrial networking platforms.

• Experience with network management and observability platforms such as Cisco Catalyst Center (DNA Center), Palo Alto Panorama, Juniper Mist, industrial NMS tools, packet brokers, and OT monitoring platforms.

• Hands-on experience with industrial Ethernet, VPN tunneling, IPsec-based connectivity, and secure remote access.

• Hands-on experience with virtualized OT or controls server environments such as VMware vSAN, Microsoft Azure Stack HCI / Hyper-V, or comparable infrastructure platforms.

• Experience with industrial communication and OT infrastructure protocols, including BACnet/IP, BACnet MSTP, Modbus TCP/RTU, OPC UA, IEC-61850 MMS/GOOSE, MQTT, SNMP, syslog, NTP/PTP, IRIG-B, and vendor-specific interfaces, and strong understanding of their behavior across OT network architectures.

• Experience reviewing and producing technical design documentation, commissioning plans, and acceptance test procedures.

• Experience with factory witnessed testing, site acceptance testing, failover testing, telemetry validation, protocol compatibility test

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Immerse yourself in Ford's center of innovation and growth, working alongside top engineering, design, and software talent to create groundbreaking EVs and contribute to key technologies like batteries, charging, and recycling.

The UEV IVI Infra team works on Board bring up, Firmware, Bootloader, Hypervisor, Yocto, AAOS, Audio, Display, Touch, WiFi and Bluetooth connectivity, OTA Orchestrator, Diagnostics, Safety Island, Vehicle Access.

As a member of this team, you will learn the development workflow and help teams with development, debug, and testing of features.

To succeed in this role, you will need experience developing software and the ability to quickly learn new technology/domains.

C or C++ or Rust programming experience, experience developing software using Linux-based development environments, and experience working with embedded domains with Raspberry Pi/Arduino-like boards are highly desirable.

This position is a salary grade 4. For more information on salary and benefits, please visit [https://fordcareers.co/supplemental](https://fordcareers.co/supplemental).

Visa sponsorship is not available for this position.

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The successful candidate will lead the discovery and business-case development for new strategic initiatives to ensure the product roadmap stays ahead of industry disruption and commoditization. They will evaluate and pilot expansion strategies into new vehicle segments, global markets, and untapped opportunities to scale ADAS and BlueCruise adoption beyond current channels.

Key responsibilities include conducting deep-dive market analyses to identify potential customers, developing tailored product value propositions and feature sets that address the specific pain points of customer archetypes or geographic regions. The candidate will also synthesize complex competitive intelligence, technical roadmaps, and financial projections into high-impact presentations for executive leadership, providing the strategic clarity and data-backed recommendations required to secure buy-in.

Requirements include a Bachelor’s Degree, 5+ years of experience, and demonstrated ability to achieve strategic goals in an innovative and fast-paced environment. Strong verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders, are essential. Leadership and communication skills to manage stakeholders across the organization, including strong documentation skills, are also required.

Preferred qualifications include domain knowledge in advanced driving systems or in-vehicle infotainment, prior experience in strategy such as corporate strategy, product strategy, and/or consulting, and a Master of Business Administration.

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" + "- $203K – $225K • 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.

" + "## About the Team " + "The Environmental, Health & Safety (EHS) team partners across the company to enable safe, compliant, and scalable operations as our work, facilities, and technologies grow globally. We work closely with Engineering, Research & Development, Workplace, Operations, Security, IT, and external partners to design practical safety programs that support innovation while protecting people.

" + "## About the Role " + "OpenAI is seeking an EHS Manager, Engineering & Technical Operations to support expanding hardware engineering and research and development environments across emerging technology domains.

" + "This role will partner closely with engineering, research, and technical operations teams to assess and control exposure risks, strengthen safe work practices, and build scalable EHS programs that enable innovation while protecting people, facilities, and equipment. You will operate across multiple technical disciplines and translate complex hazards into practical controls that teams can apply in fast-moving environments.

" + "The role also provides EHS advisory input on product and equipment safety, helping engineering teams identify hazards early in development and integrate safety considerations into evolving technologies.

" + "## In this role, you will: " + "- Lead EHS programs supporting hardware engineering, research and development, and technical operations environments across multiple sites, with emphasis on industrial hygiene and product and equipment safety risks.

" + "- Conduct exposure and hazard assessments across chemical, physical, and operational risks and implement effective controls aligned with the hierarchy of controls.

" + "- Develop, maintain, and scale SOPs and safety standards for technical workflows, equipment use, materials handling, and high-risk operations.

" + "- Partner with engineering and technical teams to embed safety-by-design principles into equipment, workspaces, and evolving technical processes.

" + "- Provide EHS advisory support on product and equipment safety, helping identify hazards during development, testing, and deployment phases.

" + "- Strengthen compliance frameworks across OSHA/Cal-OSHA, NFPA, ANSI, and related safety standards, ensuring programs align with regulatory expectations.

" + "- Support regulatory readiness across sites, including preparing teams for inspections, coordinating responses to agency inquiries, and partnering with regulators when necessary.

" + "- Own or co-own programs such as hazard communication, chemical management, ventilation and engineering controls effectiveness, equipment safety, and contractor safety.

" + "- Lead incident and near-miss investigations, develop corrective and preventive actions, and analyze trends to drive continuous improvement.

" + "- Deliver targeted training, support onboarding and work authorization or permitting processes, and reinforce a strong on-the-floor safety culture.

" + "## You might thrive in this role if you: " + "- 8–10+ years of EHS experience supporting engineering, research and development, technical operations, or other complex technical environments.

" + "- Strong capability in industrial hygiene principles, including exposure assessment, monitoring approaches, and control selection.

" + "- Experience advising teams on product or equipment safety hazards, including mechanical, electrical, thermal, or chemical risks.

" + "- Technical fluency across multiple disciplines such as mechanical systems, electrical hazards, equipment safety, materials and chemical hazards, and facility controls.

" + "- Working knowledge of OSHA/Cal-OSHA, NFPA, ANSI, and related regulatory frameworks.

" + "- Experience supporting or interfacing with regulatory agencies or inspections and translating regulatory requirements into practical operational controls.

" + "- Demonstrated ability to influence cross-functional partners and embed safety considerations early in engineering and operational planning.

" + "- Strong field presence and operational judgment in dynamic, evolving technical environments.

" + "- Professional certifications such as CSP, ASP, CIH, CHMM, or equivalent are preferred.

" + "## 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.

" + "## Required Skills " + "• Industrial hygiene principles " + "• Exposure assessment " + "• Monitoring approaches " + "• Control selection " + "• Product or equipment safety hazards " + "• Mechanical, electrical, thermal, or chemical risks " + "• Technical fluency across multiple disciplines " + "• OSHA/Cal-OSHA, NFPA, ANSI, and related regulatory frameworks " + "• Regulatory agency interactions " + "• Operational controls " + "• Cross-functional partnerships " + "• Field presence and operational judgment " + "• Professional certifications such as CSP, ASP, CIH, CHMM, or equivalent

" + "## Preferred Skills " + "• Experience in hardware engineering and research and development environments " + "• Familiarity with emerging technology domains " + "• Strong analytical and problem-solving skills " + "• Excellent communication and interpersonal skills " + "• Ability to work in a fast-paced environment " + "• Experience with EHS software and systems " + "• Familiarity with regulatory requirements and industry standards

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While this work intersects with frontier model development, security and risk, we're explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale.

Responsibilities:

• Lead a team of software engineers building detection + mitigation systems for frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents.

• Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact.

• Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage.

• Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale.

• Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence.

• Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed.

• Anticipate what breaks at scale as agentic workflows become more capable.

Requirements:

• Experience building systems in adversarial, fast-evolving environments

• Are comfortable with ambiguity and novelty

• Have experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments)

• Communicate clearly and build trust quickly with senior stakeholders,pragmatic, collaborative, and calm under scrutiny.

• Significant experience leading engineering teams and delivering production systems end-to-end.

• Strong technical judgment in system design, distributed systems, data pipelines, observability, and operational reliability.

• Demonstrated ability to partner cross-functionally with Research/Product/Security to ship systems that materially reduce risk or abuse at scale.

• Familiarity with model extraction / distillation, adversarial evaluation, or scalable detection/mitigation approaches.

• Background in autonomy, high-scale real-time systems, or intelligence-adjacent technical domains is a plus.

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.

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You will also develop scripts to automate the building and running of virtual test environments, assist software development and testing teams with adopting and using virtual ECU environments, and plan out project roadmaps and participate in project management decisions.

We're looking for someone with a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, and 3+ years of experience in developing simulation or virtualization frameworks, or equivalent experience in system programming. You should have strong programming skills in C/C++ and Python or similar scripting languages, and experience working in Agile development environments.

If you're interested in joining our team and contributing to the development of innovative virtual validation solutions, please apply!

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In this role, you'll go beyond using AI tools , you’ll design, build, and iterate on AI-assisted and agentic CI experiences. You’ll help define and implement patterns for how we measure success, how we instrument behaviour in production, and how we account for large language model limitations in real-world environments.

You'll also help integrate GitLab's Duo Agent Platform into CI workflows at scale, on a foundation that's fast, reliable, secure, and observable.

Responsibilities:

• Collaborate with Engineering, Product, and UX partners to refine priorities: where we can move faster, where we’re missing data, and where there’s whitespace to innovate.

• Contribute to defining what success looks like across our AI agents, ensuring we’re not just shipping, but learning from how features perform in production.

• Keep a close eye on the competitive landscape and emerging AI-native DevOps tools, helping us understand what it takes to keep GitLab CI best-in-class in an increasingly agentic world.

Examples of Agentic CI work we have planned for the upcoming year:

• AI Pipeline Builder, the foundational CI agent that auto-creates pipelines for new projects and serves as the launchpad for onboarding new CI users.

• Automate the Fix a Failing Pipeline flow at scale – from dogfooding on internal GitLab projects through to safe, controlled rollout for customers, solving real infrastructure and scalability challenges.

• Build the instrumentation and observability layer that makes agentic CI trustworthy , trigger volume dashboards, retry rates, cost safeguards , so we can measure what’s working, catch what isn’t, and iterate with confidence.

• Harden the CI pipeline execution infrastructure that these agents depend on: database access patterns, background processing, and job orchestration built to handle the additional load that AI-driven automation introduces at enterprise scale.

What you’ll do:

• Design, build, and operate backend features that make GitLab CI fast, reliable, and easy to use at scale.

• Implement AI-powered and agentic CI capabilities that integrate with GitLab’s Duo Agent Platform.

• Instrument, monitor, and improve CI systems using data, observability, and safe rollout practices.

• Write secure, well-tested Ruby on Rails code in our monolith, improving existing features while reducing technical debt.

• Collaborate cross-functionally with Product, UX, and Infrastructure, mentoring others and raising engineering standards across the Verify stage.

What you’ll bring:

• Strong Ruby on Rails backend experience in a large, production codebase.

• In-depth experience building and operating AI-powered backend features in production.

• A data- and observability-driven approach to diagnosing issues, improving reliability, and validating impact.

• Clear written and verbal communication, with a collaborative, mentoring mindset in a remote, async environment.

• Hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains.

Nice to have:

• Experience with AI agents or agentic frameworks (for example, LangChain or similar technologies) and building agentic workflows in production environments.

• Strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation.

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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work.

Are you an experienced and driven product manager who’s passionate about securing the world’s largest organisations through a modern, cloud-first approach? Join Okta as we expand Okta’s Privileged Access Management (OPA) product,built for scale, simplicity, and seamless integration with the Okta platform. You’ll play a central role in shaping a product that protects critical infrastructure and privileged resources across cloud and hybrid environments. This is a high-impact, hands-on opportunity to collaborate cross-functionally, define strategy, and deliver a differentiated Privileged Access Management (PAM) solution at scale.

Responsibilities

• Customer & Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders including the go-to-market team to distill feature asks, gather feedback, validate use cases, and ensure product-market fit.

• Product Scope: Define and own the product strategy and roadmap for PAM capabilities across a range of systems (cloud platforms, databases, DevOps tools, and legacy infrastructure).

• Roadmap Ownership: Identify, prioritise, and drive development of new features and integrations based on market needs, customer input, and technical feasibility. Define and communicate clear product requirements, including features, user experience and functional specifications, to engineering teams.

• Technical Collaboration: Work closely with engineering and architecture teams to define connector protocols, APIs, and deployment models that align with cloud-native principles while balancing an intuitive user experience.

• Delivery & Execution: Drive cross-functional execution with design, engineering, QA, support, and documentation teams to deliver high-quality features on time.

• Market Awareness: Track industry trends and emerging technologies in order to think strategically for developing solutions that are differentiated from the competition in the Privileged Access Management space.

• Data-Driven Insights: Leverage product data to continually improve existing functionality and work across the business to drive adoption and success.

• Subject Matter Expertise: Be the subject matter expert for your product area, enabling your counterparts in marketing and technical sales with the knowledge and tools needed to effectively position Okta Privileged Access.

Required

• 5+ years of technical product management experience in enterprise-scale SaaS products, or an equivalent background demonstrating core product management competencies

• Knowledge of Privileged Access Management (PAM) protocols and concepts, including credential vaulting, session recording, just-in-time access, and/or privileged elevation

• Proven track record of delivering features or products that drive meaningful business outcomes

• Analytical and decisive with the ability to drive action even with incomplete or ambiguous information

• Excellent communication skills and ability to work cross-functionally with research, design, engineering, sales, and customer success teams

• A passion for Okta’s mission, coupled with curiosity and a drive to understand both business strategy and technical detail

• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience

Preferred

• Domain knowledge or implementation experience with products related to privileged access management

• Hands-on technical background and prior experience in engaging deeply with technical customers and engineering

• Prior experience with building connector SDKs, APIs, or technical integrations

• Familiarity with zero trust, infrastructure-as-code, or cloud security tooling

• Advanced degree in a technical or business field

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The future of smart mobility hinges on the intelligent application of data, metrics, and analytics. As part of our Global Data Insight & Analytics (GDI&A) team, you'll play a pivotal role. We serve as Ford's trusted advisers, providing clear insights into business conditions, customer needs, and the competitive environment. Our work empowers key decision-makers to act decisively and positively. By leveraging your expertise in data and analytics, you can contribute to timely, evidence-based decision-making.

Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. Our mission is to foster evidence-based decisions by unlocking insights from data. Our projects span various domains, including Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics.

We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all project stages, from problem identification to model deployment. Ideal candidates are self-motivated, have a strong sense of initiative, and a lifelong passion for learning to navigate the rapidly evolving field of mobility technology. We offer the freedom to conduct original research, select the most suitable methodologies, and tackle world-class machine learning challenges.

This role involves applying AI and ML to innovate in areas such as autonomous vehicles, cybersecurity, customer interaction, and product design. You'll be part of a forward-thinking team dedicated to using AI and ML to create groundbreaking solutions and shape our strategic direction in these fields and beyond.

Responsibilities:

• Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)

• Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends

• Apply AI and Machine Learning technology to solve complex, real-world problems

• Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely

• Fulfill problem formulation and ML technique consulting requests in a timely manner

• Communicate and present analytical models to business customers and executive management

• Work collaboratively with different business partners and be able to present results in a clear and concise manner

Qualifications:

• Bachelor’s degree in computer science, mathematics, statistics, operations research, or related field

• Experience with the complete software lifecycle

• 1+ years of experience with delivering and maintaining production software products

• Strong technical writing and oral communication skills

• Expertise in one or more core domains involved in machine learning model deployment, including data engineering, model building, MLOps

• Experience in productionizing generative AI to solve critical business problems

Preferred Qualifications:

• Doctorate in computer science, mathematics, statistics, operations research, or related field AND 1+ year(s) data-science experience (e.g. managing structured and unstructured data, applying statistical techniques and reporting results)

• OR Master’s degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data-science

• OR bachelor’s degree in computer science, mathematics, statistics, operations research, or related field AND 5+ year(s) data-science experience

• Experience with cloud-based deployments and best practices

• Demonstrated contributions and expertise in one or more of the following AI domains:

• Natural Language Processing (finetuning and distillation of LLMs, evaluation of LLM-powered applications, deploying models at scale, including development and deployment of LLM-driven AI agents capable of autonomous task execution and tool integration)

• Computer Vision (anomaly detection / few-shot learning, multi-sensor fusion, object detection and tracking, scene segmentation, motion planning and prediction)

• Generative AI (fine tuning stable diffusion models, multi-modal large language models, generation in the 3D domain)

• Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point cloud or mesh-based neural networks, PDE surrogate modelling)

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We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Product Manager, Identity Threat Protection (ITP) ----------------------------------------------- Join Okta’s Identity Threat Protection (ITP) team as an outcome-driven and customer-focused Product Manager. ITP aims to stop identity-based attacks, serving as a core security platform that detects and prevents threats, helping customers prevent breaches and secure their digital ecosystems.

As a Product Manager for Okta ITP, you will own key product areas and contribute to the continued evolution of ITP to meet customer and business needs. You will work closely with senior product leaders, engineering, and design to help define how Okta detects and stops identity-based attacks, automates security responses, and reduces the risk of breach and compromise.

If you’re passionate about improving customer security and engaging with a vibrant community, we’re looking for you.

Responsibilities

• Own specific product areas or capabilities within Identity Threat Protection (ITP), driving delivery from concept through launch and iteration
• Partner with senior product managers to shape roadmap priorities and translate strategy into clear, executable plans
• Develop a strong understanding of customer problems and the evolving identity attack surface, including human identities, AI agents, and non-human identities (NHIs)
• Contribute to roadmap planning and prioritization, balancing customer needs, technical constraints, and business goals
• Define clear product requirements, user experiences, and success criteria to enable efficient and high-quality engineering execution
• Work closely with engineering, design, and security teams to deliver scalable, reliable product capabilities
• Leverage product data, customer feedback, and research to inform decisions and continuously improve product outcomes
• Support go-to-market efforts, including positioning, enablement, and driving product adoption and customer success
• Collaborate cross-functionally with sales, marketing, and customer success teams to ensure successful product launches and ongoing customer value
• Continuously build domain expertise in identity security, threat detection, and prevention

Requirements

• 3+ years of product management experience, ideally in enterprise SaaS, cybersecurity, or identity-related products
• Foundational experience or exposure to identity or security domains such as IAM, threat detection, security operations, or incident response
• Strong communication skills (presentation, verbal, and written) with the ability to collaborate effectively across technical and non-technical teams
• Demonstrated ability to break down complex problems and drive structured execution in ambiguous environments
• Experience defining product requirements and working closely with engineering teams to deliver customer-facing capabilities
• Analytical mindset with the ability to use data to inform decisions and measure outcomes
• Technical foundation (Computer Science, Engineering, or equivalent experience) sufficient to engage in technical discussions and influence design decisions
• Proven ability to deliver meaningful product outcomes and contribute to business impact

Preferred

• Experience contributing to the development and iteration of enterprise-scale products
• Familiarity with identity and access management (IAM) concepts, protocols, and systems
• Exposure to security products such as XDR, SIEM, SSE, or threat detection platforms
• Experience working in cross-functional product teams spanning engineering, design, and go-to-market functions
• Demonstrated ability to quickly learn and ramp in complex technical domains
• Advanced degree in a technical or business field

Benefits

Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies.

Salary

The annual base salary range for this position for candidates located in the San Francisco Bay area is between $159,000-$219,000 USD. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between $142,000-$196,000 USD. The annual base salary range for this position for candidates located in Canada is between $124,000-$170,000 CAD.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Partner Marketing Manager, Technology Partnerships

About the Role

As a Partner Marketing Manager for Technology Partnerships, you will be the demand generation architect behind Okta’s most strategic ISV partnerships. You are not just a marketer; you are a business leader responsible for defining how Okta and our leading technology partners win together in the market.

Reporting to the Senior Director of Global Partner Marketing, you will operate with a high degree of autonomy, leading the end-to-end GTM strategy for a portfolio of Tier-1 technology partners. You are responsible for bringing joint innovation to market,including the development and launch of AI integrations with large platform partners,and ensuring these efforts translate into measurable pipeline and revenue impact. You will bridge product and sales, connecting technical integrations to clear customer value and scalable go-to-market execution.

Key Responsibilities

Strategic GTM & Field Activation

• Own the Strategy: Develop and execute the joint marketing strategy for Okta and with key ISV partners including Zscaler, Crowdstrike, Google and more, to drive new leads, increase consumption, and amplify our message in the market.

• GTM Narrative Activation: Partner with Product Marketing to "field-proof" joint messaging. You are responsible for taking high-level technical value propositions and transforming them into actionable, high-conversion marketing assets (e.g., co-branded pitch decks, solution briefs, and sales plays) that resonate with Okta’s global sales force.

• Integrated Campaign Architecture: Lead the design and global rollout of complex multi-partner and multi-channel "Always-On" marketing programs to create unified messaging, value propositions, and joint campaign architecture that captures new market opportunities. You own the strategy for how the joint solution is positioned across webinars, digital demand gen, and major third-party events (e.g., RSAC, Zenith Live, Fal.Con).

• AI Integration Launches: Support the GTM strategy and execution for joint AI integrations with large platform partners, from launch planning through field activation. Ensure these innovations are clearly positioned, enabled for sales, and translated into scalable demand generation and pipeline impact.

• Market Positioning: Act as the subject matter expert (SME) on the competitive landscape of your partner category, ensuring Okta remains the "integration of choice" for the ecosystem.

• Ecosystem Campaign Intelligence: Monitor the performance of joint marketing plays and provide a "feedback loop" to PMM and Product. You identify which narratives are actually driving pipeline in the field and which need to be pivoted based on real-world buyer behavior.

Ecosystem Scale & Influence

• Executive Alignment: Build and maintain high-level relationships with marketing and product leaders at partner organisations to secure premium sponsorship, co-marketing budget, and roadmap alignment.

• Influence and Align Cross-Functionally: Embed our ISV partnerships within Okta’s highly cross-functional working teams, collaborating across alliances, product marketing, field marketing, demand gen, content, PR, and social.

• Global Playbook Development: Design "Scale" packages,repeatable marketing assets and frameworks,that allow regional marketing teams in EMEA and APJ to execute partner motions with speed and consistency.

Revenue & Performance Management

• Pipeline Accountability: Own the "Partner-Influenced Pipeline" and “Marketing Attached” targets. You will be responsible for the health of the funnel generated through co-marketing activities.

• Data-Driven Optimisation: Utilise SFDC, Tableau, and Crossbeam to track ecosystem overlap, measure campaign attribution, and provide regular "State of the Union" reports to leadership.

Qualifications

• Strategic Experience & Domain Expertise: 6+ years of experience in B2B tech marketing or alliances, ideally within high-growth SaaS environments. You possess a deep understanding of the Identity, Security, or Cloud Infrastructure landscape and can comfortably navigate technical concepts and translate them into business value.

• GTM Orchestration & "Big Picture" Thinking: Proven ability to move beyond one-off tactics to build global "marketing engines." You think in systems and playbooks, with a demonstrated knack for re-imagining how Okta and our partner ecosystem deliver compounding value to customers.

• The "Own It" Mentality: A proactive, high-autonomy leader with a bias for action. You exhibit the rare ability to think strategically about full-funnel pipeline development while remaining "hands-on" to troubleshoot tactics and ensure initiatives deliver tangible ROI.

• Exceptional Influence & Communication: A natural storyteller and persuasive communicator. You are skilled at distilling complex technical integrations into punchy, benefit-driven messaging and are equally effective at presenting to C-suite stakeholders as you are to technical audiences.

• Cross-Functional Leadership Excellence: Mastery of the matrixed environment. You have a proven track record of leading "v-teams" (virtual teams) across PMM, Enablement, and Alliances without direct authority, driving alignment and execution across diverse internal and external stakeholders.

• Educational Foundation: Bachelor’s degree in Marketing, Business, or a related field; or equivalent practical experience in the technology sector.

#LI-Hybrid

(P12589_3413813)

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We are seeking a Research Operations (ResOps) program manager for our team to help our UX Researchers do the most impactful work possible. For this role we're looking for someone who can help our team improve our research processes, manage our relationships with vendors, navigate the contracting process, and bring more velocity and happiness to the team. Someone who is un-blockable and finds creative new approaches when obstacles come up. Someone who always puts people and the team first, no matter how challenging things get. Someone who is energized by making everyone around them better.

Responsibilities:

Engage, partner, and collaborate with research team members, leadership, and key stakeholders to proactively identify opportunities to leverage programming and AI automation to improve the efficiency, effectiveness, and the impact of research insights for our team. Communicate operational goals and strategy. Design and launch programs that reduce process friction and enhance researcher impact and satisfaction. Define, measure and manage strategic initiatives that improve team efficiency and impact, establishing operational systems and outcomes. Contribute to overall research operations infrastructure, updating processes and tools and initiating improvements where needed. Proactively manage expectations: define clear program roadmaps, provide frequent program updates, identify and communicate risks and adjustments, and ensure commitments are delivered. Support knowledge management by helping centralize, document, and maintain internal processes and resources, tracking of research deliverables and capacity, etc. Drive year over year tooling and supplier management contracts, management, administration and pricing and forecasting to ensure we have the best platforms and tools to conduct user research. Management of budget, expenses, and compliance with financial policies. Cross-functional coordination, partnering with finance, legal, procurement to keep UXR running smoothly. Coordination with Creative Ops team, including Design Operations and Business Management to keep entire productive and customer-focused.

Qualifications:

Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience 2+ years of experience managing cross-functional and/or cross-team projects.

Preferred Qualifications:

Extensive knowledge of UX research methods. 5+ years relevant domain experience within technology sector. Excellent collaboration skills across disciplines – PM, Data Science, Engineering, and Product Design. Enthusiasm to partner on key goals and evolve the program based on feedback. Superb communication skills to convey complex ideas and insights across cross-disciplinary audiences, along with strong presentation, project management and process management skills. Experience leading horizontal initiatives and scaling ResOps impact spanning across multiple cross-disciplinary teams. Understanding of trends in generative Artificial Intelligence (AI). Passion for learning new technologies and understanding the needs of users across a wide range of technical abilities. Deep understanding of user research tools like Qualtrics, Dscout, and UserTesting and experience with new AI-first research tools. Experience with business applications and enterprise product research. Experience scaling research through enablement. Experience leveraging data to inform decisions and drive change. Track record of operating independently and taking initiative, embracing ambiguity, demonstrating creativity, being detail-oriented, and delivering results in an organized manner. Budgeting, forecasting and ability to analyze data and performance to support decision-making. Extensive experience coordinating across departments (Finance, HR, Ops, etc) and vendor management, contracts, and procurement.

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This role sits at the intersection of applied machine learning, generative AI, and product experience, with clear ownership of core shopping intelligence used directly in user-facing Copilot experiences. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

• Design, build, and productionize machine learning models for product discovery, ranking, recommendation, and personalization using large-scale commerce and behavioral data.
• Develop LLM-based systems for conversational shopping, including prompt design, retrieval-augmented generation, tool orchestration, and grounding against structured commerce data.
• Address quality and trust challenges such as hallucination risk, stale data, and recommendation reliability.
• Define evaluation frameworks and experimentation strategies for conversational and proactive shopping scenarios, including offline metrics and online experiments.
• Partner closely with product, engineering, and design teams to translate models into low-latency, reliable Copilot experiences.
• Provide technical leadership for applied science within Copilot Shopping through design reviews, mentoring, and setting quality standards.
• Contribute to model governance and Responsible AI practices to ensure trustworthy and compliant systems.

Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 3+ years of hands-on experience developing machine learning or statistical models to solve real-world problems (in industry or academic projects), including building and validating algorithms such as regressions, classifiers, or clustering models.
• Proficiency in programming for data science (e.g. using Python or R for data analysis and modeling) and experience with data querying languages (e.g. SQL).
• Big Data & Distributed Computing: Hands-on experience with large-scale data processing using tools like Apache Spark or Azure Databricks for training and inference workflows.
• Advanced Analytics: Skilled in time-series analysis and anomaly detection techniques (e.g., ARIMA, isolation forests) applied to business contexts for actionable insights.
• LLMs & Domain Adaptation: Practical experience with prompt engineering, fine-tuning GPT-like models, and applying LLMs in domain-heavy areas (healthcare, agriculture, social sciences) while ensuring privacy and Responsible AI compliance.

Experience Level: senior Employment Type: full-time Workplace Type: hybrid Category: Engineering Industry: Technology Salary Range: $119,800 - $234,700 per year Salary Min: 119800 Salary Max: 234700 Salary Currency: USD Salary Period: year Required Skills: ["machine learning", "generative AI", "product discovery", "ranking", "personalization", "reasoning", "Apache Spark", "Azure Databricks", "Python", "R", "SQL", "time-series analysis", "anomaly detection"] Preferred Skills: ["prompt engineering", "fine-tuning GPT-like models", "LLMs in domain-heavy areas"]

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We work with C-level executives, finance leaders, product design and engineering teams at large global brands and platforms who are building financial services solutions with Stripe. Your role will involve building highly consultative trusted relationships with key decision makers and technical decision makers in the customer’s organisation to provide business and technical thought leadership, and become a trusted advisor in solving mission-critical business challenges.

Responsibilities:

• Be a key member of the Platform account team with deep involvement in defining the customer strategy; Identify and close new complex opportunities, and accelerate solution adoption.
• Drive thought leadership and be a trusted advisor for key business and technical stakeholders including CIO, CTO, COO, CRO, CDO, Head of Product Engineering, and Head of Payments.
• Work to deeply understand the customer’s business objectives, and then design and apply Stripe’s solutions to their challenges. Develop and articulate the end-to-end customer transformation journey and create future roadmaps and architectures with deep 3rd party integrations in play.
• Conduct business analysis and background research on customers, industries, and competitors.
• Lead strategy engagements with users to align to business priorities, design solutions and secure the technical win by performing in-depth customer discovery, evangelising the proposed solutions through executive briefings, readouts, presentations and solution demos.
• Expand Stripe’s footprint within existing accounts to new global markets and business units by introducing new capabilities and local payment methods.
• Act as the “Voice of the Customer” to bring insights, trends and opportunities to the leadership, product and engineering teams from the forefront and prioritised for delivery.
• Participate in sales forecasting, Quarterly Business Reviews and account/territory planning to strategically and tactically align for success.
• Act as a crucial part of the sales team, providing technical insight and solutions to prospective and existing platform users. Guide and provide technical expertise on Stripe and its benefits for both platforms and their customers.
• Showcase the capability of Stripe's platform in solving business problems, highlighting features, benefits, and potential customisations. This includes demonstrating how those benefits pass down to the customer's own user-base.
• Manage pre-sales projects, coordinating proof of concept development, and feasibility checks. Ensure all solutions proposed are viable, beneficial to our potential clients, and also accommodating to their customers.

Requirements:

• 5+ years of experience in a similar customer-facing engineering role such as solution consultant, solutions architect, or sales engineer, for a global software enterprise.
• Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels.
• Effective group-facilitation skills and confidence in proposing and leading customer meetings to gain strategic footing and pursue opportunities.
• Thorough understanding of the software development lifecycle and API architecture.
• Outstanding spoken and written communication skills, presentation skills, and confidence in explaining complex concepts to both technical and non-technical audiences.
• Develop a comprehensive understanding of Connect, Stripe's solution for enabling platform payments, exploring its various features, and integration methodologies.
• Gather an in-depth understanding of Stripe's Payments and Billing systems and their applicability across diverse business models to beneficially cater to individual clients' and their customers' needs.
• Ability to understand how a wide variety of applications such as ERP, CRM, Billing, Tax and legacy systems interact with each other in a platform technology stack/ecosystem.
• Strong organisational and time management skills and the ability to juggle competing priorities while working with multiple strategic opportunities and customers.

Preferred Qualifications:

• Experience as a customer-facing, domain expert in the payments space, presenting, and architecting solutions for platform customers.
• Prior experience driving technical sales with top-tier enterprise-scale platforms and supporting them and their customer’s unique requirements.
• Experience with integrating Stripe or other RESTful APIs into web applications.
• Experience in systems design, building and deploying complex applications.
• Experience in helping customers adopt and consume software in a cloud model.
• Passionate about learning and actively seeks out knowledge.
• Ability to work independently and confidently to develop a path forward with customers under ambiguous circumstances.
• Strategic and creative thinker who can proactively identify challenges and maintain a positive approach when facing difficult obstacles.
• Strong collaboration skills to work seamlessly with extended teams to support our users.

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This isn't a 'sit back and watch' project management role. You will work with multiple project leads across a vast portfolio of robotics data projects, ensuring technical milestones are met, dependencies are de-risked, and stakeholders are aligned. You should be prepared to wear many hats and be excited about intense, impactful work that leads to accelerated career progression.

Key Responsibilities

• Drive Multi-Project Outcomes: Serve as the primary driver for a portfolio of robotics projects, tracking milestones, deliverables, and dependencies to ensure on-time delivery for the world's leading AI researchers.
• Bridge the Technical-Operational Gap: Act as the central liaison between AI clients, hardware engineers, and global operational teams to translate high-level goals into executable data collection workflows.
• Architect Scalable Pipelines: Partner with engineering to design and optimize end-to-end data ingestion pipelines, ensuring they can handle the high-fidelity sensor data (video, logs, teleop) required for Vision-Language-Action (VLA) models.
• Enforce Data Quality & Governance: Define KPIs and Quality Assurance (QA) metrics to ensure datasets are high-fidelity, labeled correctly, and compliant with rigorous privacy and safety standards.
• Standardize for Scale: Develop and refine Standard Operating Procedures (SOPs) that allow us to scale collection efforts across global, distributed teams.
• Communicate with Precision: Provide regular, data-driven progress updates to Scale's executive team, utilizing SQL and dashboards to monitor performance and guide strategic pivots.

Ideal Candidate

• Strong Technical Foundation: A degree in Engineering, Computer Science, or a related field, combined with a deep understanding of AI/ML.
• 2-3+ Years of TPM Experience: Proven track record of managing complex, cross-functional technical programs, ideally in robotics, hardware, or large-scale data operations.
• Hands-on Problem Solving Skills: A proactive approach to overcoming technical and logistical roadblocks in a fast-paced environment.
• Operational Grit: Experience 'in the weeds' of operational challenges - you don't just identify bottlenecks; you build the solution to clear them.
• Entrepreneurial Mindset: You are comfortable with ambiguity and excited about building infrastructure from scratch in a fast-paced environment.

Nice to Haves

• SQL Proficiency: Ability to pull your own data and build your own tracking dashboards.
• Global Experience: Experience interacting with distributed teams or collection sites across different time zones.
• Robotics Domain Expertise: Familiarity with robotic hardware, sensor calibration, or the nuances of collecting data for Physical AI.
• AI/CV Knowledge: Familiarity with Computer Vision or Large Language Model (LLM) training requirements.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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The successful candidate will be comfortable interacting directly with portfolio managers, and will bring strong project management, communication, domain knowledge, and collaboration skills.

Principal Responsibilities:

• Build and maintain strong relationships with portfolio managers and senior business management
• Act as a tech-savvy partner to PM teams, helping with technical inquiries and identifying the most suitable solutions
• Interface with stakeholders across the organisation at multiple levels of seniority
• Perform business analysis and project management, including requirements gathering across platforms and coordinating project-level integration
• Drive the rollout of our Launchpad and related application suite

Qualifications / Skills Required:

• 5+ years of relevant experience
• Solid financial markets experience, including exposure to trading applications, risk management, operations, middle office, and Fixed Income products
• Subject matter expertise in Fixed Income pricing and related technology
• Strong interpersonal, written, and verbal communication skills, with prior experience engaging directly with portfolio managers
• Business analysis and hands-on project delivery experience across the full SDLC for major change initiatives at an investment bank, buy-side firm, exchange, or software vendor
• Ability to communicate in detail with development teams and users, and to provide clear, concise updates to senior stakeholders
• Coding/scripting skills and experience using AI tools are a strong plus

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.

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The successful candidate will play a key role in evolving our data platform, services, and tools to meet new customer requirements. The platform is built on a modern tech stack, including Java, Kafka, and AWS (EKS), Angular, offering scalable and streaming capabilities.

Key Responsibilities:

• Develop and maintain full-stack solution using Java (Spring Framework, GraphQL, Rest API, Kafka) and Angular.
• Ensure proper ingestion, curation, storage, and management of data to meet business needs.
• Write and execute unit, performance, and integration tests.
• Collaborate with cross-functional teams to solve complex data challenges.
• Closely work with users to gather the requirements and convert them into an actionable plan.

Qualifications:

• Minimum of 5-7 years' of professional Java development experience, focusing on API-and Kafka based architectures.
• Minimum 4-5 years of strong Angular development skills with backend integration expertise.
• Hands-on experience with automated testing (unit, performance, integration).
• 5+ years of database development experience (any RDBMS)
• Analytical and problem-solving skills with the ability to work independently in a fast-paced environment.
• Excellent communication skills to effectively collaborate with users and other teams across different regions.
• Self-motivated and capable of working under pressure.
• Experience working in Financial Services or a Front Office Environment is highly preferred.
• Experience working in Reference Data domain a plus
• Familiarity with AI developer tools

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Millennium SOC is looking for an experienced Threat Detection Engineer to drive our best-in-class posture.

This is a highly technical role, and successful candidates will have demonstrable knowledge and experience across a range of business and security technologies within a fast-paced organisation.

Principal Responsibilities

• Identify modern evolving threats and develop new detection and response approaches
• Create and operate high-fidelity detections mechanisms that drive efficient, effective and repeatable response
• Own, operate and automate detection and response workflows, that enable the team to focus on strategic objectives
• Lead Information Security response activities for the firm
• Work across business and technology teams to deliver positive outcomes across the firm
• Explain complex technology and information security related concepts to a wide range of stakeholders
• Enforce security policies and procedures by administering and monitoring appropriate systems, events and answering stakeholder queries
• Monitor new and emerging security and privacy related technologies, trends, issues, and solutions and assess their applicability to Millennium key business initiatives and business strategies
• Ensure Millennium Information Security capabilities remain fit for purpose and evolve to meet the changing threat landscape

Qualifications/Skills Required

• Bachelor or master’s degree in computer science or cyber security with strong IT background or equivalent demonstrable experience
• 3 years’ experience working in a security engineering role, financial industry experience preferred
• Experience in creating detections in modern query languages (KQL, SQL, SPL)
• Possesses security certifications (Security+, OSCP, CISSP, CEH, GCIA, GCIH)
• Experience with modern security tooling across security domains; network, endpoint, data, identity and cloud
• Experience in standard enterprise technology stack, Active Directory, Entra, Group Policy, Intune, DNS, TCP/IP, PKI, Microsoft 365, Windows, Linux, MacOS, etc.
• Ability to handle sensitive and/or confidential materials with appropriate discretion
• Required scripting, development and automation skills using PowerShell or Python and proficient development tools
• Experience in OSINT, Threat hunting and analysing malicious emails
• Able to prioritise in a fast moving, high pressure, constantly changing environment

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Key responsibilities include: Managing customer relationships from the executive to the end user Working alongside customers to scope agentic workflow use cases that Scale's engineering team will build and refine Leading a cross-functional project team to deliver on and exceed the customer's AI/ML objectives Overseeing onboarding and successful implementation of customer accounts

Must haves: Active TS/SCI clearance 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications/solutions A track record of structured, analytics-driven problem solving Excellent verbal and written communication skills Willingness to be onsite with the customer in the Colorado Springs area 4 days per week and able to travel at least 25% of the time

Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, defining the research roadmap and driving execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.

Key responsibilities include:

• Leading, mentoring, and growing a team of research scientists and engineers working on GenAI research initiatives
• Defining and driving a multi-year research roadmap, identifying key scientific questions, setting milestones, allocating resources, and ensuring rigorous execution
• Collaborating cross-functionally with engineering, product, client-facing teams, and external academic or industry partners to translate research into components, insights, and actionable outcomes
• Communicating compellingly, publishing research, presenting at conferences, engaging in open-source contributions, and representing the team externally
• Driving an inclusive, high-performing culture, helping your team through technical challenges, providing growth opportunities, and attracting top talent

Ideal candidates will have:

• 5+ years of hands-on research experience in machine learning, deep learning, generative models, agent/RL systems, or related domains
• A strong track record of research excellence, including publications in top-tier ML/AI venues
• Experience leading or managing research teams, mentoring, coaching, and developing talent
• Excellent written and verbal communication skills, articulating research ideas and outcomes to technical and non-technical stakeholders

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This role is ideal for someone who blends program leadership, systems-building obsession, technical fluency , and who thrives in fast-moving, ambiguous, and mission-driven environments.

As a Program Manager, you will:

Serve as the contractual and internal program lead across a large-scale public sector engagement, integrating multiple sub-efforts under one umbrella (e.g., data pipelines for computer vision, software deployments for GenAI solutions) Own relationships with senior government stakeholders and ensure that we meet contractual obligations, performance metrics, and reporting requirements Own relationships with subcontractors to ensure successful delivery of the prime contract Lead formal engagements such as contract reviews, customer program syncs, performance assessments, and reporting cycles Lead and supervise a team of 3-4 delivery managers who run day-to-day customer engagement efforts Oversee a technical delivery team that will drive product roadmap alignment that adapts evolving customer needs

Must haves:

An active TS/SCI clearance 10+ years professional experience, ideally managing complex technical programs for DoD or national security customers A proven ability to lead large, cross-functional efforts across delivery, contracts, and customer teams A healthy obsession with establishing and driving adoption of programmatic systems and processes; plus the ability to exert influence and manage associated change Familiarity with FAR-based contracts and program structures like IDIQs, task orders, and OTAs Strong business acumen with the ability to manage performance metrics, contract deliverables, and program budgets A track record of high ownership in ambiguous environments Excellent written and verbal communication skills , especially with senior government stakeholders Deep curiosity about agentic AI and its application to homeland layered defense A willingness to travel up to 25% of the time

We have a diverse team with a variety of skill sets, many have:

Proficiency in Python, SQL or other programming languages A proven track record in B2B + B2G client facing roles and expanding client relationships Prior experience delivering technical solutions to government customers Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc)

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We are seeking a highly experienced Sr. Engagement Manager to join our team in Sydney. As a Sr. Engagement Manager, you will be responsible for helping customers accelerate value through the adoption of the Databricks platform.

Key Responsibilities:

• Collaborate with sales counterparts and engage early in the sales process to understand customer needs and exceed expectations in delivery and developing valued solutions

• Identify opportunities for new services by understanding and addressing potential new use-cases and articulating the business value in upsell or extension of services

• Develop commercial models including leveraging Databricks and Partner investment vehicles to help address customer budgetary constraints for success

• Perform as the Engagement Manager in the assigned area with full accountability for meeting/exceeding Professional Services and Training KPIs

• Articulate relevant customer success stories, services offerings, and metrics that demonstrate value to the customer

• Consult with clients to understand and analyze engagement scope, requirements, time, cost and benefits

• Drive resolution of delivery challenges, address resource contentions, scoping issues and manage expectations

What We Look For:

• Data and AI domain knowledge and experience working with customers to realise business value through to production implementations

• Proven experience in senior customer-facing roles that require a mix of influencing, validating, negotiating, understanding and execution

• Excellent customer-facing skills and the ability to communicate with and develop strong relationships at all levels including with senior executives both internally and externally

• Consistent track record of identifying customer needs and successfully implementing solutions

• Strong leadership experience, the ability to enforce good project governance and drive delivery excellence

• Strong service delivery and program management skills with the ability to synthesise customer success outcomes into well-structured program plans that deliver against such outcomes

• Proven experience in estimating effort and scope for services

• Proven experience in meeting and achieving KPI and targets including CSAT, Bookings and Revenue

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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Key responsibilities include:

• Collaborating with a multidisciplinary team of software and hardware engineers to develop software defined radios;
• Implementing high-performance, real-time signal processing chains on embedded and hardware platforms to support mission-critical sensing capabilities;
• Developing Modeling and Simulation (M&S) code for RADAR techniques and data analysis including Hardware-in-the Loop / Software-in-the-loop (HIL/SIL) testing;
• Participating in laboratory and field testing of RF systems and techniques;
• Participating in the maturation of RF systems into deployable systems and products.

Required qualifications include:

• 5+ years of experience with a BSEE or related field;
• Strong foundation in digital signal processing, comms theory, and system engineering with emphasis in direction finding algorithm implementation;
• Hands-on experience with direction finding, angle-of-arrival estimation, and multi-antenna signal processing;
• Strong experience with DSP implementation for embedded devices including FPGA, Nvidia Jetson, and Software Defined Radios and/or software defined radios;
• Strong knowledge of Python and MATLAB;
• Experience with CUDA or GPU accelerated frameworks like cuSignal is preferred;
• Familiar with deep learning algorithms;
• Familiar with wireless communication standards (Bluetooth, 3G/4G/5G, Wi-Fi, SINCGARS, MUOS, etc.).

Preferred qualifications include:

• Masters or PhD degree in Electrical, Electronics, Computer Engineering, or related fields;
• Experience with ML frameworks such as TensorFlow and PyTorch;
• Defense, national security, or aerospace domain familiarity through industry or education;
• Extensive Digital Signal Processing (DSP) knowledge and experience;
• Expertise in Synthetic Aperture Radar (SAR) and/or Inverse SAR (ISAR): Image formation, waveforms, phenomenology, modeling and simulation.

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You will define long-term technical direction for customer-facing experiences used by millions, identifying where AI meaningfully improves customer value and translating evolving business context and industry advances into durable, multi-area strategies and roadmaps that shape how Dropbox builds, scales, and innovates, while remaining hands-on in software development where it provides the greatest leverage.

Your influence will span organisations, setting foundational architecture, driving execution standards, and aligning senior technical and product leaders across boundaries. You will lead the responsible introduction and adoption of AI across product capabilities and engineering workflows, bring clarity to the most complex decisions, institutionalise engineering excellence, and contribute directly through critical design, prototyping, and code reviews.

In return, you will operate as a trusted technical partner to senior leadership, shape systems and platforms including AI-powered foundations that define Dropbox's future, and act as a company-level technical strategist, advancing Dropbox's mission to create a more enlightened way of working.

Responsibilities:

• Own and drive technical outcomes across multiple teams and organisations, delivering company-critical customer and business impact at scale.

• Define long-term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives.

• Tackle the most ambiguous and far-reaching technical and product problems, shaping what the company builds as much as how it builds it.

• Remain deeply hands-on in software development, owning and implementing the most critical, complex, and foundational parts of the system where leverage is highest.

• Influence and align roadmaps across organisations, resolving structural bottlenecks and changing how Dropbox builds and operates.

• Architect and evolve foundational systems (this may involve both frontend and backend systems) and platforms that enable new product capabilities and operate reliably at the scale of hundreds of millions of users.

• Model exceptional technical judgment and execution rigor, setting and sustaining high engineering standards across a distributed, virtual environment.

• Drive AI adoption both to increase productivity and to produce AI-based features.

Requirements:

• Advanced degree in Computer Science or a related technical field involving substantial software development, or equivalent industry experience demonstrating deep technical mastery.

• 15+ years of experience designing, building, and evolving large-scale software systems with sustained impact across multiple teams or organisations.

• Demonstrated success operating at a Principal level, owning company-critical technical problems and influencing long-term technical direction.

• Strong experience building consumer-facing products at scale, with a deep understanding of user experience, performance, reliability, and operational excellence.

• Broad and deep technical expertise across multiple domains, including several of frontend, mobile, search, databases, storage systems, concurrency, and distributed systems.

• Practical experience applying modern ML, LLM-based APIs, and agentic frameworks in production systems, with sound judgment around quality, cost, and risk.

• Ability to communicate complex technical concepts clearly and persuasively to senior engineering, product, and executive audiences.

Preferred Qualifications:

• Experience defining and scaling company-wide platforms or architectural standards that are adopted across multiple organisations.

• Proven track record of leading the introduction of new technologies such as AI or ML into core products or engineering workflows with durable impact.

• Experience operating in highly distributed, virtual-first engineering organisations at global scale.

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In this role, you will design and build systems that optimize cloud usage and scale for global expansion. You will contribute to system architecture and execution with a focus on distributed systems. You will co-author roadmaps, setting the vision for infrastructure scalability, reliability, and engineering velocity.

You will develop effective partnerships across engineering, security, and product teams to ensure alignment of infrastructure goals. You will lead design reviews for projects, with a focus on system reliability, scalability, and maintainability. You will partner with Security to ensure infrastructure is secure by default.

You will deeply understand how to leverage Temporal's platform to power infrastructure at scale. You will gain insights into customer needs and translate them into infrastructure design decisions. You will explore new technologies and approaches to enhance infrastructure reliability and scalability.

You will share and advocate for design principles to build reliable systems at scale. You will mentor and grow other engineers, fostering a culture of learning and collaboration. You will drive alignment across teams, ensuring roadmaps and priorities remain connected to organizational goals.

To be successful in this role, you will need proven experience leading complex, cross-functional engineering efforts focused on cloud, compute, networking, and storage infrastructure. You will need exceptional collaboration and communication skills, with the ability to drive alignment across diverse teams and stakeholders.

You will need a track record of contributing to long-term technical roadmaps and making thoughtful system-level tradeoffs. You will need at least 8+ years of coding experience in languages such as Go, Java, or similar, with expertise in writing concurrent code.

You will need strong experience designing distributed systems and utilizing concurrency primitives. You will need deep expertise in at least one infrastructure domain (e.g., compute, networking, storage) and familiarity with related domains.

You will need hands-on experience with one or more cloud providers (e.g., AWS, GCP, Azure), with an understanding of how to optimize for cost, performance, and reliability.

You will need a passion for driving technical excellence, scalability, and operational reliability in cloud-based infrastructure.

The estimated pay range for this role is $212,000 - $286,000 depending on experience and location. This role is eligible to participate in Temporal's equity plan.

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The Trust Platform team is responsible for protecting our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.).

As a senior software engineer on this team, you will be deeply involved in building highly available and real-time risk detection services in close collaboration with product, data science and operations teams to understand ever-evolving attack vectors and to make Airbnb the most safe and trusted community.

Responsibilities:

• Design, implement, and operate resilient and scalable distributed systems
• Build and evolve platform capabilities to tackle the changing landscape of fraud attacks by collaborating with engineering teams in Airbnb’s Trust, Payment and CSP organizations.
• Provide critical input in Trust Platform’s team roadmap and technical direction.
• Identify opportunities to improve the reliability, scalability, and efficiency of Trust Platform services and drive their implementation.
• Mentor other engineers in developing their technical and collaboration skills
• Advocate and participate in efforts to advance Airbnb’s engineering processes and technical foundations.

Your Expertise:

• 5-9+ years of industry experience
• BS/MS/PhD in Computer Science, a related field, or equivalent work experience
• Proficiency in one or more backend languages (Java/Ruby/Kotlin etc). Familiarity with Scala is a plus.
• Experience with service-oriented architectures and developing large-scale distributed systems.
• Experience with platform architecture patterns and best practices.
• Hands on experience leading project teams and setting technical direction.
• Experience with the Trust and Risk domain.
• Experience with building and leading infrastructure is a plus.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process.

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We're looking for a Senior Product Marketing Manager to join our London-based marketing team. As a key member of our team, you will be responsible for developing and executing go-to-market strategies for our fund administration products in Europe.

Key Responsibilities:

• Own the European Market Narrative: Lead the company's understanding of the UK/European market, serving as the definitive expert on local competitors, buyer behaviors, and regulatory nuances.

• Architect Regional GTM Strategy: Design and orchestrate comprehensive GTM strategies for the European market, ensuring new launches achieve deep market penetration and support aggressive pipeline and revenue targets

• Influence the Global Roadmap: Triangulate insights from local Sales, CSMs, and primary research to credibly advocate for product features that solve critical European-specific needs.

• Scale Global Innovation: Act as the primary strategic partner to the UK Business Unit, orchestrating the regional rollout of US-based product innovation. You will translate global product advancements into compelling, localized narratives that resonate with the specific needs of European CFOs and General Partners.

• Establish Regional Credibility: Translate complex technical product details into emotional, value-driven narratives that differentiate Carta in the European competitive landscape. You will strategically leverage customer social proof and local success stories to build deep trust and market authority within the UK venture capital and private equity community.

• Define Cross-Functional Enablement: Create a consistent, visible engagement model that equips UK sales and delivery teams with the high-altitude narratives and technical depth needed to win upmarket.

• Drive Product Adoption & Impact: Define clear success metrics for product acquisition and retention. You will align regional resources from Sales enablement to Marketing campaigns to ensure every product launch delivers a measurable and positive impact on the UK P&L.

About You:

• 5-8 years of experience in B2B product marketing, with a specific focus on SaaS fintech or private markets (Venture Capital or Private Equity).

• Enterprise experience: Proven track record of marketing complex products to sophisticated, upmarket personas (e.g., CFOs or General Partners).

• Technical Mastery: The tenacity to quickly become a domain expert who can understand technical product details at a deep level and translate them into value-driven stories.

• Influential Leadership: Demonstrated success in influencing senior stakeholders (Product, Sales, and Delivery) to align on regional priorities and GTM execution.

• Exceptional Communication: A deep-seated obsession with customer storytelling; you can translate product details into emotional narratives that differentiate a brand in a competitive landscape.

Nice to Have:

• Building from the Ground Up: Experience building a PMM function or regional strategy with minimal day-to-day oversight.

• AI Experimentation: A predisposition toward experimenting with AI tools to automate routine workflows and uncover deeper market insights.

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As an Integration and Test Engineer (Mechanical), you will work within a dynamic team of multidisciplinary engineers and specialists throughout the life of AUV design, integration, and test efforts. Your responsibilities will include:

• Supporting design and integration of AUV mechanical subsystems and components, ensuring proper interfaces with electronic and software systems
• Developing, building and operating physical integration environments and test fixtures to support system maturity efforts
• Conducting root cause analysis for mechanical failures and implementing corrective actions
• Providing mechanical subject matter expertise to test operations for AUV platforms, including conducting pre-mission testing, vehicle tasking, and data analysis
• Writing, reviewing, and executing detailed test procedures to document the step-by-step execution of internal and customer-facing efforts to test and evaluate AUV subsystems, platforms, and new capabilities
• Supporting infield debug, repair, operation, and maintenance of AUVs
• May be in the field up to 20% of the time, supporting nearshore and offshore testing

We are looking for a highly motivated and experienced engineer who is passionate about delivering high-quality results and has a strong understanding of mechanical engineering principles and practices. If you have a genuine interest in working with multi-domain unmanned systems and have a proven track record of success in a similar role, we encourage you to apply.

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You will be directly working with customers to guide and influence their data warehousing architecture and decisions. You will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems.

You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors.

You will partner with the Product Manager(s) to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams.

You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact.

You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts.

You will meet with customers to communicate the vision and gather feedback.

You have expertise in cloud-based data warehousing technologies, modern data platform architectures, traditional data warehousing techniques, and preferably industry domain knowledge.

You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop.

The impact you will have:

• Lead the vision and strategy for Data Warehousing Adoption in Asia Pacific and Japan

• Develop materials for our GTM team to effectively communicate our value proposition

• Support our field teams in key strategic pursuit opportunities

• Lead a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market

• Act as the thought leader to build confidence and relationships with our customers at the executive level

• Present externally at conferences, events, and webinars and publish content to establish our position in the market

• Work with post sales and partners to establish migration best practices

• Act as a cross-functional representative with Product Management, Product Marketing, and Engineering on our go-to-market motion

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Responsibilities:

• Technical Evangelism & Thought Leadership: Represent Anthropic's technical vision to the insurance industry through conference keynotes, executive briefings, whitepapers, and industry advisory boards. Establish Claude as the leading AI platform for P&C, Life, and Reinsurance markets.

• Strategic Customer Engagement: Serve as executive technical sponsor for strategic insurance accounts, engaging CIOs, CTOs, Chief Underwriting Officers, Chief Claims Officers, and Heads of AI/ML on enterprise AI strategy. Build peer-to-peer relationships that position Anthropic as a strategic transformation partner.

• Product Partnership & Roadmap Influence: Translate customer requirements and competitive dynamics into product priorities. Partner closely with Product and Research to develop insurance-specific capabilities including model governance, explainability, audit logging, and regulatory compliance features.

• Pricing & Commercial Strategy: Contribute to pricing and packaging decisions with insurance market insight. Understand value drivers for different insurance segments, competitive positioning, and deal structuring that aligns with how insurers buy technology.

• Internal Enablement & Advocacy: Train and uplift Anthropic's GTM teams on insurance domain expertise, use cases, and buyer personas. Create enablement content, conduct training sessions, and serve as the internal authority on all things insurance. Influence without authority across the organisation.

• Regulatory & Compliance Navigation: Partner internally and externally to develop thought leadership regarding AI governance frameworks aligned with state insurance regulations, NAIC guidelines, and international requirements. Help customers understand model risk management, explainability requirements, and responsible AI practices for insurance.

• Ecosystem Partnership: Build technical relationships with GSIs (Deloitte, Accenture, McKinsey), cloud providers (AWS, Azure, GCP), and insurance technology vendors (Guidewire, Duck Creek, Majesco).

You may be a good fit if you have:

• 20+ years of experience in technology and/or business roles with at least 8 years in senior leadership positions (CTO, VP Engineering, Chief Architect, Chief Underwriting Officer, Head of Claims Technology, Distinguished Engineer) in insurance

• Deep domain expertise across multiple insurance segments,P&C (personal and commercial lines), Life & Annuities, or Reinsurance,with hands-on experience building or operating mission-critical systems

• Strong understanding of AI/ML technologies including large language models, with the ability to engage credibly on technical architecture, model behaviour, and system design

• Established executive networks across insurance technology leadership (CIOs, CTOs, Chief Underwriting Officers) and credibility as a thought leader in the industry

• Deep knowledge of insurance regulatory requirements (state insurance regulations, NAIC model laws, Solvency II, Lloyd's requirements) and experience implementing compliant technology solutions

• Skilled at translating complex technical concepts into business value propositions that resonate with both technical and business stakeholders

• Experience influencing product roadmaps based on customer feedback and market requirements, working effectively with Product and Engineering teams

• Passionate about responsible AI development and Anthropic's mission, with a commitment to helping insurers adopt AI safely and beneficially

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Responsibilities: Use proprietary tools to label and evaluate data. Support and ensure the delivery of high-quality curated data. Work with engineers to refine tasks, tools, and workflows. Design, select, and refine tasks grounded in real-world occupational math, for example: Insurance and risk: premiums, deductibles, expected loss calculations, simple risk modeling. Logistics and operations: inventory and reorder policies, capacity/throughput, basic cost optimization. Skilled trades: surveying and land measurement, electrical load calculations, machining tolerances, material estimation, blueprint and scale calculations. Finance and banking: loan amortization schedules, time value of money, portfolio and risk metrics. Accounting and tax: financial statements, reconciliations, depreciation, multi-bracket tax calculations, payroll. Health and social data: rates, ratios, simple biostatistics, survey-based metrics and policy-relevant indicators. Provide detailed, step-by-step solutions and evaluate model responses for correctness, adherence to domain rules (e.g., tax codes, building codes, basic regulatory or business constraints), clarity, and plausibility. Interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications: A Master's or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline with strong training in applied/occupational math; or A Bachelor's degree in one of the fields above plus substantial professional experience (e.g., 2+ years) in a math-heavy occupational domain such as finance, banking, insurance, accounting, logistics/supply chain, healthcare analytics, or policy analysis Professional licensure or certification in a skilled trade (e.g., licensed surveyor, master electrician, journeyman machinist) with demonstrated expertise in trade-specific mathematical calculations. Strong proficiency in applied mathematics relevant to at least one of the above domains (e.g., probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, or similar). Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources and databases. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience: Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, or similar) or demonstrably equivalent experience. Prior professional experience in one or more domains such as asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, or skilled trades. Previous AI Tutoring experience and/or experience teaching or training others in applied or occupational math topics. Experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, or similar artifacts.

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Anthropic's Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.

You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.

We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organisational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.

Developer Experience

You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers.

You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.

Beneficial Deployments

Beneficial Deployments Engineering brings Claude to organisations doing the most good with the fewest resources , nonprofits, schools, healthcare providers, researchers, and economic mobility programs.

Enterprise AI Products

You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.

Some of our focuses are:

• Extensibility , plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.

• Context , enterprise knowledge, organisational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.

• Proactivity , Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from 'Claude answers when asked' to 'Claude notices what you need'.

Vertical AI Products

Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:

• Financial Services , analysts and bankers building models, memos, and decks under deadline. We're building retrieval, analysis, and document generation that holds up to executive review.

• Healthcare , clinical documentation, prior auth, and care coordination. Work where accuracy isn't a feature, it's the whole product , and where compliance is part of the engineering.

• Legal , contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it's wrong.

Enterprise Foundations

You'll build the systems large organisations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns 'we love the demo' into a signed enterprise deal. The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.

Growth

Drive user acquisition, engagement, retention, and monetisation through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base!

As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimise growth initiatives that scale our AI-powered tools and maximise their impact.

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You'll be instrumental in shaping architectures optimized for resource-constrained environments, ensuring seamless communication and compute across our distributed network. You will be responsible for building the team's culture, driving execution, and ensuring software quality and mission success.

A Note on This Role: This is an Engineering Manager role focused on both technical (opinionated about architecture, reliability, performance and quality, especially for low-level systems programming and distributed edge deployments) and non-technical (people, process, and project leadership).

Responsibilities

• Lead & Mentor: Manage and grow a team of 10–15 engineers, fostering a high-performance, high-integrity culture focused on mission-critical delivery and rapid iteration.
• Strategic Partnership: Collaborate closely with product, mission systems, and technical leadership to define team objectives, prioritize work streams, and align with broader Connected Warfare initiatives.
• Drive Execution: Ensure the timely and reliable delivery of complex software projects by removing impediments, providing the necessary resources, and promoting agile methodologies.
• Stakeholder Liaison: Serve as the primary conduit between your team and senior leadership, communicating status updates, managing expectations, and advocating for your team’s needs.
• Technical Ownership: Supervise and monitor architecture, design, and implementation of features for high-performance, low-latency edge applications, ensuring they meet stringent quality standards and customer requirements.
• Drive technical excellence in areas like memory safety (Rust), concurrency, inter-process communication, and hardware-software interface design. Assist engineers in solving complex reliability, performance, and operational issues inherent in distributed, real-time systems.
• Quality & Process Ownership: Champion best practices in software design, code reviews, testing for embedded deployments, and CI/CD processes to ensure robust, scalable, and maintainable systems that are mission-ready.
• Cross-Functional Collaboration: Work closely with technical peers and other teams to support system integration, resolve technical challenges, and continuously improve operational workflows.
• People Development: Invest in the professional growth of your team through coaching, feedback, and structured career development plans. Cultivate a “whatever it takes” mindset and promote extreme ownership.
• Operational Insight: Occasionally travel (up to 10% of the time) to work alongside teammates and observe systems in real-world operational settings, ensuring that software solutions address actual field challenges.

Requirements

• 3+ years of experience as a software engineering manager, with a proven record of building and leading high-performing teams.
• 8+ years of hands-on software development experience, demonstrating a strong technical foundation in building resilient, high-performance software for distributed edge systems, networked applications, and Embedded Linux environments.
• Demonstrated expertise in C++ or Rust (or both), with a deep understanding of systems programming principles, memory management, concurrency, and performance optimization for resource-constrained environments.
• Successful track record of delivering complex software projects under tight deadlines while managing stakeholder relationships in a matrixed organization.
• Excellent communication and leadership skills, with the ability to inspire and develop talented engineers.
• Expertise in agile development methodologies and process improvement.
• Must be eligible to obtain and maintain an active U.S. Top Secret security clearance.

Preferences

• Experience managing teams in mission-critical domains such as command and control, robotics, or defense applications.
• Familiarity with modern DevOps and CI/CD practices tailored for embedded and distributed deployments.
• Background in developing software for distributed systems, connected ecosystems and hardware integrations.
• Direct experience in IoT device management, telemetry, and secure over-the-air (OTA) update mechanisms is highly valued.
• Experience working within or closely with multi-domain operation teams.
• A deep understanding of networking, security, and system integration challenges in high-stakes environments.
• Familiarity with low-level hardware interactions, device drivers, or firmware development is a strong plus.

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a Senior Staff Software Engineer, Backend - Platform (Core Automation) to join our team.

As a member of our Core Automation team, you will be responsible for designing and implementing Agentic AI systems that power Coinbase’s customer support experience and compliance processes.

You will also design a platform (primitives, orchestration platform, tools, etc.) that would allow other domains to quickly leverage Agentic AI to automate their processes.

Interacting with stakeholders in many different organizations that build Coinbase products or are responsible for financial operations is also a key part of this role.

Participating in shaping of the strategy and execution path of Coinbase Platform is another important responsibility.

You will manage individual projects priorities, deadlines and deliverables with your technical expertise.

Mentoring and training other team members on design techniques and coding standards is also a key aspect of this role.

Writing high quality, well tested code to meet the needs of your customers is essential.

What we look for in you:

12 + years of experience in backend software engineering using Golang or similar languages

Experience getting LLM based application to production

Proven track record of delivering impactful solutions that power significant customer flows and processes

You’ve experience in architecting and developing solutions to ambiguous problems with significant impact

Strong technical knowledge of building distributed systems that process massive scale

Solid communication skills and ability to communicate to stakeholders with various technical and non-technical backgrounds

Relentless drive to set and perseverance to achieve ambitious goals

Passion for building an open financial system that brings the world together

Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

Experience with LLM and Agentic AI

Measuring and improving LLMs’ grounding to a given corpus and experience reducing hallucinations is a big plus

Experience in the customer support, compliance or financial crimes domains

Experience having made build/buy decisions

Job #: P72990

Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below.

Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).

Annual base salary range (excluding equity and bonus):

$253,895-$298,700 USD

Please be advised that each candidate may submit a maximum of four applications within any 30-day period.

We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.

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Your work directly impacts how thousands of customers identify, engage, and convert their ideal buyers. You'll partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption.

Key responsibilities include:

Strategic Leadership: Own product strategy and roadmap for identity resolution, defining vision and success metrics that drive measurable improvements in match rates and customer value Identify and prioritize opportunities to enhance identity resolution through new data sources, improved algorithms, and better data quality Evaluate, negotiate, and integrate 3rd party data partnerships that expand identity coverage and accuracy Define and track core metrics including visitor-to-person match rates, IP-to-company accuracy, coverage, latency, and downstream revenue impact Partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption

Execution Excellence: Deliver measurable improvements to identity resolution performance through rigorous prioritization, rapid experimentation, and iterative execution Diagnose and resolve data quality issues that impact match rates, customer trust, and product experience Build scalable monitoring and alerting systems that track identity resolution health and enable proactive issue detection Create frameworks for evaluating new data sources and measuring their incremental impact on resolution performance Conduct deep discovery using data analysis, customer interviews, and competitive research to uncover opportunities for improvement

Cross-Functional Partnership: Partner with Platform, Application, and Data teams to ensure seamless integration of identity data into customer-facing products Collaborate with data science and engineering to solve complex problems in entity resolution, probabilistic matching, and signal enrichment Work with analytics teams to instrument metrics, build dashboards, and enable data-driven decision making Enable go-to-market teams through training, documentation, and competitive positioning

What You Bring:

Required Qualifications: 5+ years of product management experience in data-intensive B2B SaaS environments, with focus on data products, identity systems, or platform-level capabilities Deep understanding of identity resolution, entity matching, IP-to-company mapping, visitor identification, and the evolving privacy landscape Technical fluency with SQL, Snowflake, and BI tools (Tableau, Looker) - ability to independently analyze data, diagnose issues, and make data-driven decisions Proven track record identifying, diagnosing, and resolving data quality issues at scale with understanding of coverage, accuracy, and freshness trade-offs Cross-functional leadership - demonstrated ability to influence and align engineering, product, data science, and go-to-market teams without formal authority Customer-centric mindset with experience optimizing adoption funnels and driving engagement for technical products Excellent communication skills - ability to translate complex technical concepts into clear, value-based narratives for executives and customers Bias for action - track record of moving quickly from insight to execution with iterative, test-and-learn approach B2B SaaS experience with enterprise data products, platform products, or GTM tools

Preferred Qualifications: Experience with AdTech, MarTech, or Real-Time Bidding (RTB) ecosystems Background in data science, engineering, or analytics prior to product management Familiarity with 3rd party data sourcing, evaluation, and integration Experience with probabilistic matching, entity resolution, or graph-based identity systems Knowledge of data privacy regulations and their product implications Experience in sales intelligence, marketing technology, or revenue operations domains

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success.

Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

By the Numbers:

• Named #1 best software for small business of 2024 by G2
• 3,000+ employees in the United States, Canada, Mexico, and Turkiye and growing
• Over $500M in annual revenue

What Product Management is like at Gusto:

We’re looking for high-autonomy, entrepreneurial Product Managers to build high-impact solutions for small businesses and their employees. We believe in high-ownership Product Managers who operate like business owners , owning an entire roadmap end to end and shipping product all the way from strategy through to the nitty-gritty details (some describe this kind of role as a “GM” type role).

We’re boundaryless builders. Lines between roles are intentionally blurred, and our PMs do whatever it takes to deliver outcomes. You’ll prototype, automate, design, and ship , using AI as your co-builder to turn problems into durable solutions that deliver customer value with urgency and care.

Our Product team is lean, which means you’ll have a high degree of impact and ownership. We believe in smaller, empowered teams that move quickly with less overhead. You’ll move fast by pairing sharp product judgment with fluency in AI tools , automating what slows teams down and amplifying what makes them creative and high-performing.

We’re here to serve small and medium businesses. Gusto has a strong mission-driven culture, and we care deeply about lifting up these business owners , building technology for an AI-first world that gives them the superpowers to run and grow their businesses with confidence.

We’re comfortable with change. Our environment moves fast, and PMs here thrive in ambiguity , blending curiosity, experimentation, and AI-native craft to shape how products (and work itself) are built at Gusto.

About the Team: The Tax Credits team is a “mini startup” within Gusto, and an incredibly talented group of people that have a mix of deep customer empathy, domain expertise, and a strong desire to innovate. Our mission is to grow and add value to our customer base, and continually test and refine tools designed to help these customers unlock savings through tax credits and grants.

If you enjoy uncovering & solving big problems, driving lean experimentation, building 0 to 1 product experiences, and making a big impact on the lives of small business owners, we’d love to hear from you.

Here’s what you’ll do day-to-day:

Ownership: Spearhead the development of a product & business aimed at unlocking value for existing Gusto customers as well as expanding Gusto’s customer base to new segments

North Star: Unlocking savings for SMBs through tax credits

Collaborate: Partner closely with Engineering, Design, Ops and Data Science on all stages of the product development process, and partner with the GM and Revenue team to grow the business and optimize its unit economics

Lead product discovery to uncover and deeply understand customer problems and test risky assumptions

Run lean experiments and A/B tests to quickly prove out hypotheses and test new concepts. Always looking for ways to get stronger signal on new ideas

Create a long-term vision and strategy that defines the big problems we can solve well with a durable competitive advantage

Here’s what we're looking for:

• 8+ years of hands-on Product Management experience or 12+ years of relevant work experience

Proven track record of building 0 to 1 products with nice to haves in:

• Strong product discovery skills and analytical skills

The intangibles: natural curiosity, grit, customer obsession, and attention to detail

The ability to tell a compelling story that drives alignment and inspires action

Strong collaboration skills; ability to quickly build trust quickly

A passion for helping small businesses

If you don't think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

Our cash compensation amount for this role is $179,000/yr to $224,000/yr in Denver & most major metro locations, and $210,000/yr to $263,000/yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

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As a Vendor Security Analyst, you will have the opportunity to support the improvement of our vendor security program and GRC initiatives and provide meaningful impact in minimizing risk for Pinterest. You're passionate about security innovation, and able to vet third-party solutions while minimizing employee friction and maximizing productivity.

Responsibilities:

• Perform vendor security assessments in order to minimize risk from third-party services
• Support the Vendor Security lead to Maintain and improve the vendor security program while working closely with Security, Legal, IT and other internal stakeholders
• Ensure vendor security issues are identified, communicated, and remediated to an acceptable level of risk
• Act as the SME for High Priority Vendor Security Reviews (e.g. AI related tooling)
• Interface with other teams and take a leadership role in driving vendor security initiatives
• Manage the MSSP for Vendor Security when the Vendor Security Lead is unavailable
• Act as the Vendor Security SME for the Onspring Risk Register and manage the maintenance and updating of Vendor Security related exceptions

Requirements:

• 3+ years experience performing vendor security risk analysis for new and existing vendors
• Experience supporting the design, management, and building of security programs and best practices
• Familiarity with compliance frameworks (e.g. PCI, GDPR, SOC2, ISO27001, NIST CSF)
• Good understanding of various security domains
• Strong sense of ownership and comfortable with autonomy and ambiguity
• Great communicator who is comfortable leading meetings and audit type interviews with vendors
• Bachelor’s degree in a relevant field such as Computer Science, Engineering, or other cognitive function, or equivalent experience

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

• This position is not eligible for relocation assistance.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

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The Executive Client Advisor will conduct top-down engagement with senior leaders to build Tanium brand awareness, create Tanium champions, and share success stories at the executive level. They will also coordinate closely with the operators to fully understand the customers' capability gaps to provide solutions and recommendations. Additionally, they will assist the sales team in navigating policy, organizational dynamics, and requirements, budgeting/resourcing, and acquisition processes.

The role requires critical thinking and problem-solving skills, as well as the ability to work in a fast-paced, changing environment. The successful candidate will be able to travel up to 50% of the time, depending on customer base, location, and demands.

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As one of the first pioneers of earned wage access, our focus at EarnIn is building products that deliver real-time financial flexibility for those with unique needs.

We're fortunate to have an experienced leadership team and world-class funding partners. We're growing fast and are excited to bring world-class talent onboard to help shape the next chapter of our growth journey.

Position Summary

We're looking for a Staff Backend Engineer to join the Core Services team at EarnIn. We're seeking experienced, passionate, and resourceful engineers to join our backend teams.

This position will be hybrid from our Bengaluru office, with 2+ days in the office. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Mountain View HQ and Bangkok Site.

Responsibilities

• Design and implement scalable, high-quality backend features and REST APIs
• Drive end-to-end execution of complex initiatives, from design to production
• Maintain and extend test automation to support CI/CD
• Mentor engineers and provide guidance through code and architecture reviews
• Collaborate with cross-functional teams (Product, Design, Data Science, Marketing)
• Debug and resolve production issues across services and infrastructure
• Continuously adopt and evaluate new technologies for business impact

Requirements

• 7+ years in backend development, with experience in a tech lead role
• Bachelor's/Master's/PhD in Computer Science or related field, or equivalent experience
• Proficient in C#, Kotlin, or Java
• Strong experience architecting and optimizing complex, data-driven systems
• Proven ability to lead technical strategy, mentor engineers, and drive delivery
• Excellent communication skills across distributed teams
• Fintech/payments domain experience is a plus
• Experience building scalable, cross-functional payment systems is a plus
• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) is a plus

Benefits

EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Mountain View HQ and Bangkok Site.

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Key responsibilities include defining and executing the developer relations strategy, producing high-impact content, owning and improving the developer onboarding experience, building and engaging the developer community, and establishing a strong feedback loop.

The ideal candidate has 10+ years of experience, strong analytical skills, and the ability to lead a team of developer advocates and evangelists. They should have deep domain expertise in AI/ML platforms and tooling, proven track record of building, scaling, and activating developer communities, and exceptional technical storytelling skills.

The base salary range for this role is $165,000 to $242,000, and the company offers a variety of benefits, including medical, dental, and vision insurance, company-paid life insurance, and flexible PTO.

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Key responsibilities include:

• Performing hands-on vulnerability triage and risk assessment using team-defined standards and playbooks
• Tracking remediation progress with owner teams, escalating blockers, and ensuring clean issue closure
• Supporting automated triage workflows by validating outputs and improving signal quality
• Contributing to automated remediation campaigns (e.g., EOL cleanup, vulnerable software upgrades, and fix verification)
• Supporting zero-day and embargo response by helping inventory affected assets and tracking owner-team deployment status
• Participating in incident investigations by gathering technical evidence and supporting impact analysis
• Participating in on-call rotation for critical vulnerability events
• Maintaining high-quality documentation, runbooks, and operational updates

The ideal candidate will have 3+ years of relevant experience in vulnerability management, security operations, application security, or related security engineering. Key skills include a strong understanding of vulnerability assessment fundamentals, hands-on experience with vulnerability management platforms, proficiency in scripting/automation for workflow support, and familiarity with cloud security concepts.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including medical, dental, and vision insurance, 100% paid for by CoreWeave, company-paid life insurance, and flexible PTO.

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking an experienced Engineering Manager to lead the Ledger team within the Product Foundations - Platform Product Group.

Ledger is one of the core services for Coinbase, responsible for processing transactions and managing the funds of our users.

As one of Coinbase's most mission-critical services, Ledger sits at the core of our platform, processing billions in transactions and securing the assets of millions of users.

Today, our scale and complexity of operations have far surpassed the original design of Ledger and fund management systems.

This presents a rare and exciting opportunity to rearchitect foundational infrastructure that will shape Coinbase's success for the next decade.

Responsibilities:

• Build and manage engineering teams, to guide the development of features, services, and infrastructure.

• Coach your direct reports to have a positive impact on the organization and support their career growth.

• Implement the multi-year strategy for our team and collaborate with engineers, designers, product managers and senior leadership to turn our vision into a tangible roadmap every quarter.

• Be a thoughtful technical voice within the team, aiding in diligent architectural decisions and fostering a culture of high-quality code and engineering processes.

• Collaborate with Product and Engineering teams to ensure successful delivery and operation of multi-tenanted, distributed systems at scale.

• Work closely with our talent organization to identify and recruit exceptional engineers who align with Coinbase's culture and will help the team scale.

• Contribute to and take ownership of processes that drive engineering quality and meet our engineering SLAs.

What We Look For In You:

• At least 7 years of experience in software engineering.

• At least 2 years of engineering management experience.

• You possess a strong understanding of what constitutes high-quality code and effective engineering practices.

• An execution-focused mindset, capable of navigating through ambiguity and delivering results.

• An ability to balance long-term strategic thinking with short-term planning.

• Experience in creating, delivering, and operating multi-tenanted, distributed systems at scale.

• You can be hands-on when needed – whether that’s writing/reviewing code or technical documents, participating in on-call rotations and leading incidents, or triaging/troubleshooting bugs.

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

• Prior experience leading a Platform or similar domain team.

• Experience designing and operating ledgering or trading systems at scale.

• Experience with financial data, accounting systems, or high-precision transaction processing.

• Experience with Go, Kubernetes, Postgres, or similar technologies.

• You have gone through a rapid growth in your company (from startup to mid-size).

• Crypto-forward experience, including familiarity with onchain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services.

Job #: P76571

Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below.

Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).

Annual base salary range (excluding equity and bonus):

$218,025-$256,500 USD

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You will own and influence systems spanning Salesforce CRM, CPQ, Billing, Partner Portal, and their integrations into the broader Commerce ecosystem, driving improvements in platform architecture, system simplification, and data consistency across complex, distributed workflows.

Responsibilities:

• Design and evolve scalable backend systems that power Dropbox's Commerce Platform, including CRM, CPQ, Billing, provisioning, and related data workflows.
• Define and drive technical strategy for complex, highly customized systems, balancing short-term delivery with long-term platform scalability and reliability.
• Lead efforts to simplify legacy architectures, reduce system fragmentation, and build generalized, product-agnostic solutions.
• Own end-to-end reliability of revenue-critical systems, including validation, rollout safety, monitoring, and incident response.
• Partner cross-functionally with Engineering, Sales, Finance, and GTM teams to translate business requirements into durable technical solutions.
• Identify and execute on opportunities to improve data integrity, system observability, and operational efficiency across the platform.

Requirements:

• BS, MS, or PhD in Computer Science or a related technical field involving programming (e.g., Computer Engineering), or equivalent practical experience.
• 12+ years of professional software development experience.
• Proven expertise in building and maintaining large-scale, distributed backend systems.
• Strong system design skills, particularly in complex, stateful, or workflow-driven systems
• Experience building reliable systems with a focus on validation, rollout safety, monitoring, and maintainability
• Experience working on systems in a monetary domain such as ecommerce, subscriptions, billing, payments, or financial systems
• Strong communication and collaboration skills, with experience influencing cross-functional stakeholders

Preferred Qualifications:

• Experience with CRM, CPQ, Billing, ecommerce, or similar enterprise workflow platforms (e.g., Salesforce)
• Track record of simplifying or modernizing legacy systems into scalable, maintainable architectures
• Experience working on revenue-critical or monetization platforms at scale
• Experience improving data consistency and integrity across distributed systems
• Demonstrated ability to influence technical direction across teams without direct authority

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You will be responsible for driving project excellence across our QTC technology initiatives, including quote-to-order systems, billing platforms, revenue recognition systems, and collections management, ensuring alignment with business objectives and maintaining visibility into project health and outcomes. This is a critical role that will directly impact our ability to build scalable QTC infrastructure that supports Anthropic's rapid growth and mission to create safe AI.

Responsibilities:

• QTC Portfolio Management: Own end-to-end management of the Quote to Cash Systems project portfolio, including quote-to-order implementations, billing platform transformations, revenue recognition system upgrades, and collections automation projects

• Revenue Operations Excellence: Develop and implement comprehensive governance frameworks for QTC project management, including standardized processes for system integrations, process optimization, stakeholder alignment, and delivery excellence across the revenue lifecycle

• QTC Program Coordination: Establish robust reporting and monitoring mechanisms for complex QTC program execution spanning quote management systems, billing engines, ERP integrations, and downstream financial reporting systems

• Risk & Delivery Management: Proactively identify, assess, and mitigate QTC-specific program risks including delivery delays, integration challenges, stakeholder misalignment, and business continuity concerns, developing contingency plans and escalation procedures

• Cross-Functional QTC Leadership: Lead collaboration with Sales Operations, Revenue Accounting, Customer Support, Legal, and Engineering teams to ensure seamless program alignment and successful delivery across the entire QTC transformation portfolio

• QTC Change Management: Design and execute comprehensive change management strategies for QTC transformations, ensuring smooth adoption across sales teams, billing operations, and revenue accounting processes throughout the organisation

• QTC Strategic Roadmap: Partner with the Head of Finance Systems to align QTC program priorities with revenue growth strategy, enterprise sales enablement, and public company readiness requirements

You may be a good fit if you:

• Have 10+ years of experience in program management, PMO leadership, or QTC transformation roles, with strong understanding of quote to cash processes and systems

• Have extensive experience managing complex QTC technology programs including quote management, billing platforms, revenue recognition systems, and cross-system integrations

• Possess strong analytical and program management skills with deep understanding of QTC metrics, process optimisation, and stakeholder alignment across revenue operations

• Are skilled at building and maintaining relationships with QTC stakeholders including Sales Operations, Revenue teams, Customer Support, and Billing Operations at all levels of an organisation

• Have experience designing and implementing program governance frameworks in fast-paced, high-growth environments with complex revenue models and multi-system architectures

• Are proficient in program management methodologies and tools, with solid knowledge of QTC best practices and revenue operations frameworks

• Have excellent communication and presentation skills, with the ability to convey complex program information to both technical teams and business stakeholders including sales and finance leadership

• Demonstrate strong problem-solving abilities in managing QTC domain challenges and can navigate complex integrations while maintaining focus on delivery excellence and business outcomes

• Are passionate about building scalable program management processes that support rapid revenue growth and enterprise transformation initiatives

Strong candidates may have:

• Experience in QTC program leadership across multiple systems implementations (CPQ, billing platforms, revenue recognition tools)

• Background in revenue operations, sales operations, or billing operations with hands-on understanding of QTC process challenges and optimisation opportunities

• Knowledge of QTC processes including opportunity management, quote-to-order workflows, billing automation, payment processing, revenue recognition, and collections from a program oversight perspective

• Experience working in high-growth technology companies managing complex transformations with subscription models, usage-based

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Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Regularly require you to interpret, analyse, and execute tasks based on given instructions.

Basic Qualifications:

• Must possess a Master's or PhD in Industrial or Systems Engineering, or a highly-related field.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources are essential.
• You display outstanding communication, interpersonal, analytical, and organisational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgement even when presented with limited data/material.
• You have a strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• Possess a PhD in Industrial or Systems Engineering.
• Substantial professional experience working on real-world problems in this domain.
• Possess experience with at least one publication in a reputable journal or outlet.
• Has previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• You possess experience in technical writing, journalism, or a professional writing setting.
• Professional background as an industrial or systems engineer.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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The design space of biomolecules is unimaginably vast , far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions.

We advance the state of the art in molecular design by training large-scale foundation models and developing cutting-edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding.

You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs.

Responsibilities

• Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise

• Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design

• Analyze, visualize, and communicate results to support team efforts in improving models and data

• Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production

• Work with biologists to collect data for the training and evaluation of generative models of biomolecules

• Provide mentorship and technical direction to team members as appropriate

Qualifications

• 3+ years of hands-on experience developing ML models

• Demonstrated track record of implementing, training, improving advanced machine learning models

• Highly capable programmer fluent in Python ecosystem and PyTorch or similar deep learning framework

• Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET

• Readiness to travel several times a year for company retreats and business events

Compensation

$200K – $275K + Bonus + Equity

Benefits

• A competitive compensation package

• 30 days paid vacation per year

• Comprehensive health insurance for US based employees

• 401K with company match for US based employees and Direktversicherung for German employees

• Quarterly company-wide retreats

• Monthly wellness benefit

• Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland

• Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone

• A buddy to help you get settled

At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming interdisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.

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You will define long-term technical direction for customer-facing experiences used by millions, identifying where AI meaningfully improves customer value and translating evolving business context and industry advances into durable, multi-area strategies and roadmaps that shape how Dropbox builds, scales, and innovates, while remaining hands-on in software development where it provides the greatest leverage.

Your influence will span organisations, setting foundational architecture, driving execution standards, and aligning senior technical and product leaders across boundaries. You will lead the responsible introduction and adoption of AI across product capabilities and engineering workflows, bring clarity to the most complex decisions, institutionalise engineering excellence, and contribute directly through critical design, prototyping, and code reviews.

In return, you will operate as a trusted technical partner to senior leadership, shape systems and platforms including AI-powered foundations that define Dropbox's future, and act as a company-level technical strategist, advancing Dropbox's mission to create a more enlightened way of working.

We are looking for an experienced Principal Engineer to join our team. As a Principal Engineer, you will be responsible for owning and driving technical outcomes across multiple teams and organisations, delivering company-critical customer and business impact at scale.

Responsibilities:

• Own and drive technical outcomes across multiple teams and organisations, delivering company-critical customer and business impact at scale.

• Define long-term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives.

• Tackle the most ambiguous and far-reaching technical and product problems, shaping what the company builds as much as how it builds it.

• Remain deeply hands-on in software development, owning and implementing the most critical, complex, and foundational parts of the system where leverage is highest.

• Influence and align roadmaps across organisations, resolving structural bottlenecks and changing how Dropbox builds and operates.

• Architect and evolve foundational systems (this may involve both frontend and backend systems) and platforms that enable new product capabilities and operate reliably at the scale of hundreds of millions of users.

• Model exceptional technical judgment and execution rigor, setting and sustaining high engineering standards across a distributed, virtual environment.

• Drive AI adoption both to increase productivity and to produce AI-based features.

Requirements:

• Advanced degree in Computer Science or a related technical field involving substantial software development, or equivalent industry experience demonstrating deep technical mastery.

• 15+ years of experience designing, building, and evolving large-scale software systems with sustained impact across multiple teams or organisations.

• Demonstrated success operating at a Principal level, owning company-critical technical problems and influencing long-term technical direction.

• Strong experience building consumer-facing products at scale, with a deep understanding of user experience, performance, reliability, and operational excellence.

• Broad and deep technical expertise across multiple domains, including several of frontend, mobile, search, databases, storage systems, concurrency, and distributed systems.

• Practical experience applying modern ML, LLM-based APIs, and agentic frameworks in production systems, with sound judgment around quality, cost, and risk.

• Ability to communicate complex technical concepts clearly and persuasively to senior engineering, product, and executive audiences.

Preferred Qualifications:

• Experience defining and scaling company-wide platforms or architectural standards that are adopted across multiple organisations.

• Proven track record of leading the introduction of new technologies such as AI or ML into core products or engineering workflows with durable impact.

• Experience operating in highly distributed, virtual-first engineering organisations at global scale.

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You will be responsible for selling towards the Manufacturing vertical domain and guiding deals forward to compress decision cycles. You will close new accounts while growing our business in existing accounts.

You will report to the Senior Director, Enterprise Sales, Japan.

Key responsibilities include:

• Expanding Databricks use cases in existing and newly won accounts to maximize impact
• Establishing essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles
• Building value in all engagements to guide successful negotiations
• Planning, documenting, and driving the growth of Databricks usage for your customers
• Developing a deep and detailed understanding of the customer's business
• Providing leadership to the customer, important staff, and technical teams
• Identifying all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization

Requirements include:

• 7+ years experience selling multi-million dollar complex software deals to the region's most recognizable organizations within the Enterprise segment
• Selling experience to the Enterprise segments, ideally with a Strategic account in the Manufacturing domain
• Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem
• Background of selling usage-based SaaS solutions, or other Data/AI/ML technologies
• 5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message
• 5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use

Benefits include:

• Benefits allowance
• Equity awards
• Paid parental leave
• Gym reimbursement
• Annual personal development fund
• Business travel insurance

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We are seeking a highly experienced Senior Electrical Engineer to join our team in Sydney. As a Senior Electrical Engineer, you will be responsible for driving the development and design of innovative electrical systems and products that meet the unique requirements of our company.

Responsibilities:

• Drive the development and design of innovative electrical systems and products that meet the unique requirements of our company.
• Collaborate with other engineers and team members to integrate electrical systems into larger product designs.
• Provide technical guidance and mentorship to junior engineers.
• Collaborate with cross-functional teams to translate business objectives into clear electrical engineering deliverables.
• Create and maintain comprehensive documentation, including design specifications, test procedures, and technical reports.
• Ensure compliance with industry standards, regulations, and safety requirements throughout the product development lifecycle.
• Perform detailed electrical calculations, simulations, and testing to evaluate system performance and optimise efficiency.
• Troubleshoot complex electrical engineering challenges and provide innovative and practical solutions in a rapid development environment.
• Hold and deliver to project timelines, milestones, managing your time and budgets to achieve successful project outcomes.
• Stay up-to-date with the latest advancements in electrical engineering and proactively apply new knowledge to improve our products.

Requirements:

• Bachelor's or Master's degree in Electrical Engineering or a related field.
• Proven experience in a senior role within defence, tech or any fast-paced environment, driving successful electrical engineering projects from concept to market launch.
• Expertise in electrical engineering principles, techniques, and technologies, with a track record of delivering innovative solutions.
• Proficiency in using industry-standard electrical design and simulation software.
• Excellent interpersonal skills, with the ability to motivate and mentor junior engineers while fostering a culture of collaboration and innovation.
• Strong time management and organisational abilities, with a demonstrated ability to deliver projects on time and within budget.
• Excellent problem-solving skills, with the ability to think creatively and adapt to diverse and evolving challenges.
• Strong written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
• Familiarity with fast-paced environment best practices, including agility, adaptability, and the ability to work in a fast-paced and dynamic environment.
• Passion for technology and a curiosity to stay updated with the latest advancements in the industry.
• Ability to obtain and maintain an Australian Government Security Clearance (NV2).

Preferred Qualifications:

• Experience designing electrical and power systems for unmanned vehicles.
• Experience in the subsea or maritime domain.
• Experience working on defence programs and familiarity with current Defence standards.

Salary Range: Not specified.

Required Skills:

• Electrical engineering principles and techniques.
• Industry-standard electrical design and simulation software.
• Project management and organisational skills.
• Excellent communication and interpersonal skills.
• Ability to work in a fast-paced and dynamic environment.
• Familiarity with defence programs and current Defence standards.

Preferred Skills:

• Experience designing electrical and power systems for unmanned vehicles.
• Experience in the subsea or maritime domain.
• Experience working on defence programs and familiarity with current Defence standards.

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In this role, you'll go beyond using AI tools and help define how we design, build, and iterate on AI-assisted and agentic CI experiences. You'll set standards for what good looks like across our AI agent portfolio, including how we measure success, how we instrument behavior in production, and how we account for large language model limitations. You'll also help responsibly integrate GitLab's Duo Agent Platform into CI workflows at scale, on a foundation that's fast, reliable, secure, and observable.

We have ambitious goals for Agentic CI in FY27. As a Staff Engineer, you will:

• Partner with Engineering, Product, and UX leadership to pressure-test our priorities: where we can move faster, where we're missing data, and where there's whitespace to innovate. Part of this includes learning and growing with the Engineering team you will collaborate closely with.

• Define what success looks like across our agent portfolio and make sure we're tracking against it , not just shipping, but learning.

• Bring a sharp eye to the competitive landscape, helping us understand what it takes to keep GitLab CI best-in-class in an increasingly agentic world.

Examples of Agentic CI work we have planned for the upcoming year:

• AI Pipeline Builder, the foundational CI agent that auto-creates pipelines for new projects and serves as the launchpad for onboarding new CI users.

• Automate the Fix a Failing Pipeline flow at scale – from dogfooding on internal GitLab projects through to safe, controlled rollout for customers, solving real infrastructure and scalability challenges.

• Build the instrumentation and observability layer that makes agentic CI trustworthy , trigger volume dashboards, retry rates, cost safeguards , so we can measure what's working, catch what isn't, and iterate with confidence.

• Harden the CI pipeline execution infrastructure that these agents depend on: database access patterns, background processing, and job orchestration built to handle the additional load that AI-driven automation introduces at enterprise scale.

You'll shape and scale GitLab CI backend infrastructure to improve performance, reliability, and usability for users running jobs at high volume. You'll design and implement AI-powered features for Agentic CI, including agents, agentic flows, and LLM-backed tooling that integrates with GitLab's Duo Agent Platform. You'll define what success looks like for AI in CI before you build, including baselines, measurable outcomes, and clear signals that help the team learn and iterate. You'll build the instrumentation and observability needed to make AI-assisted CI trustworthy in production, including feature behavior metrics, dashboards, and safeguards. You'll own and drive measurable performance improvements across CI systems (for example, database access patterns, background processing, and job orchestration) by forming hypotheses, running experiments, and validating results with data. You'll write secure, well-tested, maintainable Ruby on Rails code in a large monolith, improving existing features while reducing technical debt and operational risk. You'll lead cross-functional technical work with Product, UX, and Infrastructure, influencing architecture and execution across the Verify stage. You'll share standards, patterns, and learnings with other engineers, raising the bar for responsible AI integration and evidence-driven engineering across CI.

This role requires advanced proficiency with Ruby and Ruby on Rails, with experience building and maintaining reliable backend services in a large codebase. You should have strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation. You should have hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains. You should have practical experience designing and shipping AI-powered backend features and integrations, including sound judgment about large language model limitations and responsible use in production. You should have a data-driven approach to engineering: defining hypotheses, establishing baseline metrics, instrumenting changes, and measuring outcomes against clear success criteria. You should have familiarity with observability patterns and tools (metrics, logging, tracing) to diagnose issues, improve reliability, and guide iteration. You should have strong backend architecture and delivery practices, including secure design, well-tested code, and strategies for safe rollouts and zero-downtime changes. You should have clear written and verbal communication skills, including writing technical proposals and documentation, and collaborating effectively in a remote, asynchronous, cross-functional environment.

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You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced space science fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

The AI Tutor - Space Science Specialist role is a remote position. We prefer candidates available for full-time employment, but exceptional applicants seeking part-time opportunities will also be considered.

Responsibilities

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Solve problems that help drive innovation in space science disciplines by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from various fields across space science disciplines that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications

• Master’s or PhD in astrophysics, astronomy, physics, or a highly related field.
• Expertise and specialization in a space science subdomain, including but not limited to galactic astronomy, extragalactic astronomy, observational astronomy, stellar astrophysics, high-energy astrophysics, cosmology, planetary science, earth sciences, astroparticle physics, general relativity, and interdisciplinary space sciences.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience

• Advanced expertise in physics, astronomy, or astrophysics, as demonstrated by multiple publications, preferably with one or more first-author papers, in reputable peer-reviewed journals
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing setting.

Location and Other Expectations

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits

US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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Responsibilities:

• Hire, onboard, and mentor SEs; build the bench and succession plan for future managers
• Stand up the SE operating system: KPIs, inspection cadence, regional coverage model, and quality standards
• Own demo and POV strategy: success criteria, timelines, resourcing, and executive ready readouts
• Drive early technical discovery, solution design, competitive plans, and paper process clarity
• Partner with Sales leaders on territory planning, account prioritization, and resourcing SLAs
• Build field assets with Product Marketing and SEs: reference architectures, POV kits, competitive briefs, ROI storylines
• Enable partner co-sell with priority resellers and SIs; track influenced pipeline and win rate
• Create the feedback loop to Product and Engineering with crisp requirements and clear impact
• Collaborate with RevOps on capacity planning, hiring plan, and budget alignment
• Model an inclusive, learning-oriented culture; invest in manager and IC development

Requirements:

• 10+ years in B2B SaaS Pre-Sales
• 4+ years leading a team of solutions engineers; experience leading managers is a plus
• Identity or security domain fluency is preferred; strong technical depth across APIs, integrations, and enterprise stack
• Proven lift in technical win rate, POV conversion, and sales velocity at regional or global scale
• Mastery of MEDDPICC and enterprise deal mechanics; confident with executive storytelling
• Operational rigor in KPI design, forecast collaboration, capacity modeling, and process improvement
• Excellent communications skills and cross-functional collaboration across Sales, Product, Marketing, Partners, and Success
• Ability to travel as needed

Benefits and Perks:

• Remote work culture (+/-4 hours Pacific Time)
• Medical, Vision, & Dental coverage covered by Lumos
• Company and team bonding trips throughout the year fully covered by Lumos
• Flexible PTO, with minimum time off to make sure you are rested and able to be at your best
• Up to 16 weeks for expecting parents
• Monthly wellness stipend
• 401k matching plan

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We are seeking a Senior Product Manager to support the development of CoreWeave's Enterprise Data Platform within the CIO organization. This role will contribute to building a scalable, high-performance data lake and data architecture, integrating data from key sources across Operations, Engineering, Sales, Finance, and other IT partners.

As a Senior Product Manager for Data Infrastructure and Analytics, you will help drive data ingestion, transformation, governance, and analytics enablement. You will collaborate with engineering, analytics, finance, and business teams to help deliver data lake and pipeline orchestration solutions, ensuring accessible data for business insights.

Key Responsibilities:

• Own and evangelize Data Platform and Business Analytics roadmap and strategy across CoreWeave
• Assist with the execution of CoreWeave's enterprise data architecture, helping enable the data lake and domain-driven data layer
• Support the development and enhancement of data ingestion, transformation, and orchestration pipelines for scalability, efficiency, and reliability
• Work with the Engineering and Data teams to maintain and enhance data pipelines for both structured and unstructured data, enabling efficient data movement across the organization
• Collaborate with Finance, GTM, Infrastructure, Data Center, and Supply Chain teams to help unify and model data from core systems (ERP, CRM, Asset Mgmt, Supply Chain systems, etc.)
• Contribute to data governance and quality initiatives, focusing on data consistency, lineage tracking, and compliance with security standards
• Support the BI and analytics layer by partnering with stakeholders to enable data products, dashboards, and reporting capabilities
• Help prioritize data-driven initiatives, ensuring alignment with business goals and operational needs in coordination with leadership

Requirements:

• 5+ years of experience in data product management, data architecture, or enterprise data engineering roles
• Familiarity with data lakes, data warehouses, ETL/ELT and streaming pipelines, and data governance frameworks
• Hands-on experience with modern data stack technologies (such as Snowflake, BigQuery, Databricks, Apache Spark, Airflow, DBT, Kafka)
• Understanding of data modeling, domain-driven design, and creating scalable data platforms
• Experience supporting the end-to-end data product lifecycle, including requirements gathering and implementation
• Strong collaboration skills with engineering, analytics, and business teams to help deliver data initiatives
• Awareness of data security, compliance, and governance best practices
• Understanding of BI and analytics platforms (such as Tableau, Looker, Power BI) and supporting self-service analytics

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

Salary Range: $143,000 to $210,000

Benefits:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Workplace:

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

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This is a rare opportunity to architect and build distributed systems that will fundamentally change how large organisations approach application security and developer security workflows.

As the SRM Stage Lead, you'll be responsible for transforming our engineering culture toward high-performance distributed systems while delivering an exceptional user experience for both Application Security professionals and Developers.

You'll own the technical strategy for processing, analysing, and remediating vulnerabilities across massive codebases and complex enterprise environments.

Technical Leadership & Architecture

• Design distributed systems architecture capable of processing vulnerability data from thousands of repositories, millions of commits, and complex dependency graphs in real-time
• Drive storage system decisions for multi-petabyte security datasets, balancing query performance, cost efficiency, and data retention requirements across time-series, graph, and document storage paradigms
• Architect scalable analysis pipelines that can ingest vulnerability feeds, correlate findings across multiple security tools, and provide actionable intelligence to both security teams and individual developers
• Lead the technical evolution from monolithic security scanning to microservices-based, event-driven vulnerability management systems

Engineering Culture Transformation

• Champion high-performance systems thinking throughout the team, establishing patterns for horizontal scaling, efficient resource utilisation, and fault-tolerant distributed computing
• Establish technical standards for system observability, chaos engineering, and performance optimisation in security-critical systems
• Mentor and develop senior engineers in distributed systems design, database optimisation, and large-scale system architecture
• Drive architectural decision records (ADRs) for major technical decisions, particularly around data storage, processing frameworks, and system boundaries

Product & User Experience Excellence

• Own the end-to-end user journey (in partnership with PM) for both AppSec professionals managing enterprise-wide risk and developers receiving actionable security feedback in their workflow
• Design APIs and interfaces that abstract complexity while providing the power and flexibility that security professionals demand
• Collaborate with Product Management, UX and Product Design to translate complex technical capabilities into intuitive user experiences
• Establish feedback loops with large enterprise customers to ensure our technical solutions scale with their organisational complexity

Strategic Technical Execution

• Evaluate and integrate cutting-edge technologies in areas such as graph databases, stream processing, machine learning inference at scale, and distributed caching, in collaboration with GitLab’s Infrastructure, Data and AI teams
• Own the technical roadmap for vulnerability correlation, risk scoring, and automated remediation workflows
• Drive partnerships with other GitLab stages to ensure seamless integration across the DevSecOps platform
• Lead incident response for availability and performance issues in customer-facing security systems

What You’ll Bring

• 10+ years of software engineering experience with 5+ years leading distributed systems at scale (>100M daily operations)
• Deep expertise in designing and operating high-throughput, low-latency distributed systems with complex data models
• Proven experience with polyglot persistence strategies, including relational databases (PostgreSQL, Cloud Spanner), time-series databases, graph databases, and distributed key-value stores
• Strong background in stream processing frameworks (Apache Kafka, Apache Flink, or similar) and event-driven architectures
• Hands-on experience with container orchestration (Kubernetes) and cloud-native observability stacks
• Security domain knowledge with understanding of vulnerability assessment, static analysis, dependency scanning, or application security testing

Leadership & Communication

• Proven track record of leading and growing high-performing engineering teams (40+ engineers)
• Experience transforming engineering culture and establishing technical excellence standards in fast-growing organisations
• Strong technical communication skills with ability to present complex architectural decisions to executive stakeholders
• Collaborative leadership style with experience working across multiple engineering teams and product stakeholders

Problem-Solving & Innovation

• Systems thinking approach to complex technical problems with demonstrated ability to make appropriate trade-offs between performance, scalability, and maintainability
• Experience with A/B testing frameworks and data-driven decision making in technical contexts
• Track record of successfully delivering large-scale technical migrations or architectural transformations
• Startup or high-growth company experience with ability to balance technical debt with rapid feature delivery

About the team

Security Risk Management sits at the heart of modern DevSecOps. The systems you build will directly impact how Fortune 500 companies protect their applications and how millions of developers integrate security into their daily workflow.

You'll have the opportunity to define the future of application security tooling while working with some of the most challenging distributed systems problems in the industry.

The Technical Challenge

You'll be solving some of the most interesting distributed systems problems in the security space:

• Scale: Processing vulnerability data for organisations with 100,000+ repositories and millions of developers
• Performance: Sub-second query response times for complex security analytics across massive datasets
• Reliability: 99.95%+ uptime SLAs for security-critical workflows that can't afford downtime
• Complexity: Correlating findings across 20+ different security tools while maintaining data lineage and audit trails
• User Experience: Making complex security data accessible to both security experts and developers with varying security expertise

Salary

The base salary range for this role’s listed level is currently for residents of the United States.

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Your work will involve collaborating closely with the Terminal backend and infrastructure teams to design and implement scalable payments solutions across Stripe's services. You will also support the development of mobile device testing infrastructure and automation frameworks, and work with engineers, product managers, designers, and stakeholders across the company to deliver complete features.

To succeed in this role, you should have a strong technical background, with 2+ years of experience working with at least one of the following: Java, Kotlin, Swift, Objective-C. Experience building and maintaining backend services or distributed systems is also essential. Additionally, you should have demonstrated ability to work across the stack, from mobile clients to backend infrastructure.

We offer a competitive salary and benefits package, as well as opportunities to work on exciting projects and collaborate with a talented team of engineers and product managers.

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The Security team's goal is to identify, measure, manage, mitigate, and report risk associated with products to keep our customer's funds and data safe. You will collaborate with program sponsors and cross-functional Security partners to identify, document, and objectively assess opportunities, challenges, and risks across traditional and novel Security domains using qualitative and quantitative factors, including KRIs and KPIs.

You will serve as the Directly Responsible Individual (DRI) for key security initiatives or workstreams when required, owning outcomes and driving decision-making to keep programs moving forward. You will create program strategies and artifacts, including proposals, prioritization frameworks, roadmaps, dependency maps, and risk registers, to drive initiatives that incrementally increase program maturity over time.

You will partner with Product, Engineering, and Security teams to influence adoption of critical initiatives, navigate technical dependencies, and support the Software Development Lifecycle (SDLC) as part of product and feature launches. You will concurrently manage multiple critical projects end-to-end: establishing milestones and timelines, managing cross-functional workstreams and dependencies, holding teams accountable for deliverable quality, and clearly communicating the impact of delays on project timelines and security risk posture.

You will provide program status to Security leadership while ensuring transparency on key metrics, program effectiveness, strategic direction, and changes. You will conduct regular data analysis on security control performance to identify trends, anomalies, and areas for improvement, leveraging BI tools to drive data-informed decisions.

You will drive process improvement and scaling initiatives within security programs by leveraging AI tools, automation, and retrospectives to optimize workflows, reduce manual toil, and achieve outcomes efficiently. You will author Objectives and Key Results (OKRs) to focus teams on the right short-term and long-term goals, and manage change across complex multi-quarter programs.

You will rapidly identify and escalate risks to enable proactive collaboration and timely resolution.

We're looking for a Technical Program Manager II with a strong understanding and proven experience of formal program management methodologies, working knowledge of and experience in cyber/security domain, fluency in leveraging AI in daily workflows to enhance efficiency, drive process improvements, and deliver high-quality, business-ready outputs.

You should have exceptional skills in time management, facilitation, communication, and organization, ability to translate complex concepts simply for varied audiences, experience managing cross-functional teams and stakeholders, and comfortable navigating ambiguity and operating in environments where processes and paved roads may not yet exist.

Nice to haves include professional certification such as PMP, CISSP and CISA, working knowledge of and experience in the technology and/or financial technology industry, experience working across all the three lines of defense (3LOD), and advanced understanding of Generative AI, Google Workspace, JIRA, Linear, Superset, Looker and SQL.

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Key responsibilities include:

• Architect scalable pipelines to unify disparate metrics into a single, accurate source of truth
• Enable advanced analytics through real-time and near-real-time dashboards for operational capacity and demand managers
• Support AI agent development by ensuring data pipelines are architected to synthesize complex data and inform high-stakes infrastructure decisions
• Cross-functional synthesis with Data Center Operations, Supply Chain, Product, and Finance to ensure technical pipelines accurately reflect the physical realities of data center bring-up and node health

The ideal candidate will have a Master's or PhD in Computer Science, Computer Engineering, Operations Research, or a related quantitative field, with 6+ years of professional experience in data engineering or data science. They will have expert-level proficiency in Python and SQL, and experience with modern data stack tools and software development best practices.

In addition to a competitive salary, CoreWeave offers a variety of benefits, including medical, dental, and vision insurance, company-paid life insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, employee stock purchase program, mental wellness benefits, family-forming support, paid parental leave, flexible PTO, catered lunch, and a casual work environment.

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If you are someone who enjoys building and delivering compelling next-generation autonomous capabilities and supporting actual vehicle integration, then this role is for you.

Responsibilities:

• Test RF systems (power measurements, pulse response/synchronization, network analysis, environmental & stress testing, etc.)
• Lead air vehicle integration and checkout efforts (EMI/interference testing, installed performance testing, data analysis)
• Validate system performance in close cooperation with design & system engineers
• Work closely with AD&S teams to successfully integrate & deliver high-performance systems to our customers
• Communicate results in multiple forms internally and externally

Requirements:

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Communications, sensors, and effector domain expertise in RF based systems (e.g. Radar, ESM, EW, etc.)
• Proven, hands-on experience with RF test equipment and measurement techniques
• 2+ years in RF system integration and validation, the more the better
• 5+ years in relevant Science and/or Engineering related field

Preferred Qualifications:

• Hands-on experience with both analog and digital systems integration.
• Ability to develop SW to enable closed-loop or automated testing of systems under test
• Experience with simulation and modeling tools (e.g., ADS, Ansys HFSS, COMSOL, MATLAB, etc.)
• Advanced sensing domain experience (e.g., EO/IR, ESM, EA, EW, LIDAR)
• Experience with air vehicle design, integration, test, & fielding

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The Chief Engineer will develop a technical strategy and roadmap in conjunction with the Head of Engineering for Space Missions and the Growth/Strategy leads of the Space team that effectively leverages current Anduril technologies and newly developed technologies to serve the customer mission areas. This role will address pre-award demonstrations, early contract phases, and full-contract execution.

The Chief Engineer, working with a multi-disciplinary engineering team, will ensure the efficient development and delivery of hardware and software solutions for the customer. These efforts will include leading complex, integrated systems for on-orbit operations and demonstrations to include sub-contracted teammates and strategic partnerships.

The chief engineer will need to facilitate effective technical development and integration that spans company-boundaries in an agile development approach in the context of a continuous integration/continuous deployment paradigm. They will need to balance development of new capabilities with the incorporation of several pre-existing Anduril or industry capabilities and need to effectively communicate the development status to internal and external stakeholders.

The Chief Engineer will be responsible for technical oversight of all aspects of program execution from proposals to SRR, PDR, CDR, MRR, TRR, assembly, qualification testing, and delivery of flight units for launch. The Chief Engineer in conjunction with the Head of Engineering for Space Missions will assist in building out the necessary infrastructure for Anduril to execute on all necessary aspects a space based interceptor consisting of satellite and payload build and test to include working with external vendors for establishing test requirements and pass/fail criteria.

The Chief Engineer will also work closely with the Anduril Space C2 team to enable and deliver Space Ground C2 products to both the customer and to further Anduril’s penetration into customer ecosystems.

Key responsibilities include:

• Providing technical expertise across multiple spacecraft subsystems and ground systems
• Leveraging strategic partnerships and teammates for building out new products to satisfy customer requirements in new and challenging mission areas
• Providing space industry expertise to refine and advance the Anduril Space Based Interceptor strategy for customer engagements and demonstrations
• Contributing technical inputs to proposals to include engineering execution plans
• Providing oversight to a multi-disciplinary team of engineers through all phases of program execution up to and including delivery and operation of capabilities on-orbit
• Performing mission and system level trade studies and analysis to balance risk, cost, and performance

Required qualifications include:

• Experience in architecting, developing, and delivering defense/IC satellite and space hardware and software systems
• Experience in high dV spacecraft, dynamic space operations, space based sensing and understand mission operations for surveillance and reconnaissance at multiple orbits
• Understanding of the recent/current technical state of key USSF and IC space systems and mission areas
• Demonstrated ability to decompose complex systems with competing objectives (e.g., performance, schedule, openness, cybersecurity, MLS) into executable requirements and execution then delivering on those to meet government expectations
• Experience with spacecraft standards for qualification testing and acceptance testing to include the use of GEVS, SMC-S-016 (MIL-STD-1540), etc.
• Experience with US government space mission areas and associated CONOPS for successfully executing missions to enable space for the warfighter
• Design and development of space vehicle and payload architectures and detailed mission solutions to complex space domain challenges
• Strong technical communication skills, providing the ability to deliver critical technical briefings and conclusions to technical leadership, company leadership, and customers
• Strong technical fundamentals in space systems, space ground infrastructure, and product development
• Technical experience leading US Government contracts
• Eligible to obtain and maintain an active U.S. Secret security clearance

Salary: $254,000 - $336,000 USD

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As a Manager, Software Engineering, you will be responsible for demonstrating end-to-end outcome ownership of a major system within an integrated product, and the team responsible for building and maintaining it. You will contribute as a team lead to the rapid architecting, design, delivery, support, and evolution of next-generation autonomous platforms through their entire product life-cycle.

Key responsibilities include:

• Empathizing with end-users and driving solutions that balance their needs with external constraints, restrictions, and requirements in a multi-stakeholder environment
• Being accountable for software-enabled solutions that are deployed to customers, optimizing for the delivery of value to the end-user
• Collaborating with your Technical Lead to architect scalable software that rapidly delivers capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
• Coordinating your team's roadmap and execution with other teams across Anduril, with the aim of developing components that are reusable across multiple Anduril product lines
• Contributing to the design, implementation, and execution of development processes for the initial delivery and subsequent iteration of vehicle and mission software, including full lifecycle testing, monitoring, and operation
• Managing a 6-18 month roadmap for your team, nested within broader organisational roadmap
• Managing an allocated budget for your team
• Managing programmatic risk for your team, and collaborating with your Technical Lead to manage technical risk, including sound and timely decision making
• Leading by example as a technically competent, trustworthy, and accountable team lead
• Communicating organisational vision, strategy, and direction to your team
• Defining, documenting, gaining consensus for, and communicating appropriate goals and plans for your team, derived from broader organisational vision, strategy, and priorities
• Building your team through mentoring, professional development, career management, and collaboration with Anduril's recruiting and people functions
• Working as a leader of a multi-disciplinary engineering team of 4-10 members, including as a mentor and manager for Engineers from differing backgrounds
• Reporting to a manager who may or may not have a background in software engineering
• Traveling to co-locate with end-users and/or other teams up to 20% of the time

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Okta secures every identity, from AI to human identity, enabling organisations to safely embrace the new era of AI. This work requires a relentless drive to solve complex challenges with real-world stakes.

Job Duties and Responsibilities:

Partner with the regional sales team to develop strategic and technical account and territory plans. Support customers along their sales journey by showing them the value of the Okta technology through live demonstrations and sales presentations. Develop confidence to communicate with stakeholders at all levels of the customer's organisation, including CxO, security, developers, Product Managers and IT administrators. Serve as the key technical advisor for customers, leading the technical solutioning phase for customers, partnering with the sales team and our partners. Act as the Technical Advocate for customers, with Internal Okta teams. Execute well-defined, outcome-focussed POCs. Build and manage technical relationships with Okta Customers, Technology Partners and Delivery Partners. Participate in Okta Marketing led events, as a Speaker / Thought Leader and an attendee. Enjoy travelling and meeting customers. Travel will be mainly domestic. There may also be opportunities to travel to other Asia Pacific countries to support teammates; and within the US for training and conferences.

Skills & experiences that will help in the role:

Minimum of 1-2 years experience in a pre-sales consulting role, or customer facing consulting role. Strong communication skills, written and verbal, and an ability to quickly communicate complex ideas around a technical topic, using various means, including in front of a whiteboard. Communicate effectively with stakeholders at all levels of the customer's organisation, including CxO, security, developers, and IT administrators. Ability to be organised and analytical, and eliminate sales obstacles using creative and adaptive approaches. A passion to be in the forefront of technology, learning a diverse set of technologies that Okta integrates with and helping solve real world Identity challenges. Enjoy being in a fast paced environment, operating at the speed of cloud, to help customers accelerate their journey to the cloud, rapid adoption of technology and design their Zero Trust security strategy with Identity as the foundation.

You might also have (not mandatory):

Experience with Identity & Access Management, Single Sign-on, Security and API-based solutions. Experience with at least one standard network security protocol (eg. OAuth 2.0, OpenID Connect, SAML, LDAP). Proficient in either IT Security, Identity and Access Management or Developer domains. Bachelor's degree in Engineering, Computer Science, MIS or a comparable field. Hands-on experience in one or more of the following areas: web development (JavaScript, HTML, frontend frameworks), mobile development (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications. Software developer experience.

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a Staff Software Engineer to join our Financial Engineering team.

As a Staff Software Engineer, you will be responsible for architecting and building foundational backend systems with a focus on performance, scalability, and reliability.

You will drive strategic technical direction for complex, cross-team initiatives and establish and evolve platform best practices, frameworks, and architectural standards within the team.

You will provide deep technical mentorship, guide design decisions, and raise the bar for engineering quality.

Collaborate with product, finance, and engineering leadership to shape the team's technical roadmap.

Drive system improvements by embedding AI into engineering and operational practices.

What we look for in you:

8+ years building and operating large-scale distributed systems in production.

Deep expertise in backend programming (e.g., Go, Python, Java) and cloud-native architecture.

Proven track record designing highly available, high-performance systems.

Ability to anticipate scaling bottlenecks and take proactive measures.

Experience leading cross-functional technical initiatives and mentoring engineers.

Ability to distill complex technical concepts into clear, actionable solutions.

Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

Experience with financial data, accounting systems, or high-precision transaction processing OR

Experience in the Auth domain.

You’ve worked with Golang, Ruby, Docker, Rails, Postgres, MongoDB or DynamoDB.

You have gone through rapid growth in your company (from startup to mid-size).

Job # : P75025

Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below.

Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).

Annual base salary range (excluding equity and bonus):

$218,025-$256,500 USD

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Your responsibilities will include:

• Owning designs from concept generation to real-world use, including avionics, mechanisms, thermal systems, fuel systems, and other general design tasks as required.
• Developing and integrating hardware on unmanned air vehicles.
• Using first principles physics as a basis for every decision.
• Leading design reviews, running analysis, visiting vendors, defining and executing hardware test plans.
• Building prototypes, analysing failures, and transitioning successful projects into production.
• Supporting critical hardware demonstrations with customers as needed.
• Travelling to test sites as needed.
• Supporting the design and analysis of composite structures, including the development of tooling essential for high-volume production.

To be successful in this role, you will need:

• A Bachelor's or Master's degree in Mechanical Engineering, Mechatronics, Aerospace Engineering, or a related discipline.
• 3+ years of experience in mechanical design or engineering.
• Experience designing mechanical parts (CAD - Siemens NX preferred).
• Understanding of scalable manufacturing methods (machining, sheet metal, composites, 3D printing, injection moulding, etc).
• General knowledge of manufacturing processes for composites, metal components, and plastics.
• Background in first principles physics as a basis for every decision.
• Eligibility to obtain and maintain an active U.S. Secret security clearance.

Preferred qualifications include:

• Broad experience working across multiple mechanical engineering domains (e.g., mechanisms, thermal systems, avionics, fuel systems).
• 5+ years of experience in mechanical design or engineering.
• Ability to adapt designs from metal components to composites, with a basic understanding of material trade-offs.
• Knowledge of advanced manufacturing techniques for composites and plastics.
• Hands-on experience with composites and tool design, including familiarity with out-of-autoclave fabrication methods.
• Experience in thermal & structural analysis.

This role offers a highly competitive salary range of $129,000-$171,000 USD, plus highly competitive equity grants and top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, family planning & parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a member of the growing team of product managers, your responsibilities include:

• Own the product vision for your area. Ensure that it aligns with the overall product and company vision.

• Be an expert on the domain, the market, the trends. Evangelize the vision constantly so all stakeholders are aligned, have context and understand where we are going.

• Represent the customer. Be the champion and voice of customers. Build intimate, personal customer relationships. Bring the customer's voice into the creation process.

• Manage the roadmap. Make tough tactical prioritization decisions while helping the company think long-term. Build trust with stakeholders by maintaining an understandable, accurate roadmap.

• Author use cases and prioritize requirements. Translate market observations and customer feedback into a prioritized product backlog. Author use cases based on specific real-world product applications and extrapolate detailed product requirements for the scenarios.

• Collaborate across teams. We win or lose as a team. Product managers play a critical role in creating alignment between engineering teams and stakeholders. A collaborative attitude is essential to the job.

• Measure success. Own the measures used to define success for your product. Success measures must be defined at the inception of a product and tracked throughout its lifecycle. Make measures visible to all stakeholders and interpret them into actionable conclusions and new hypotheses.

• Develop new opportunities. With your finger on the pulse of the market, the customers and the engineering teams, you are uniquely positioned to discover and develop new opportunities.

Desirable Skills, Knowledge, and Experience: The ideal candidate is entrepreneurial-minded and thrives in a fast-paced and goal-driven environment. You have outstanding communication and collaboration skills and are able to work with a diverse group, get consensus, and drive the product forward. You are execution focused and emphasize getting things done while paying attention to important details.

• BS/MS in a technology- or business-related field

• Experience in building, configuring or using Load Balancing products, specifically with a focus with both public and private traffic load balancing.

• 5+ years of product management or equivalent experience with demonstrated ability to discover opportunities, and then define and deliver products

• Exceptional communication, presentation, organizational and analytical skills

• Demonstrated ability to lead, drive consensus and deliver in a matrix organization with multiple stakeholders

• Must be able to define and manage complex process and/or product issues of a broad scope using independent judgment

• Experience balancing execution, agility, and culture at a fast growing business.

• Strong technical abilities. You are intimately familiar with modern software development practices used to build and deploy applications. You've preferably been working full time on a software delivery team.

• Strong customer and stakeholder empathy. You must be not only the voice of the customer, but at various times the voice of marketing, finance, engineering, support and ops. You must be able to channel many points of view.

• Working knowledge of how the internet works at layers 3 through 7.

Bonus Points:

• A solid understanding of RESTful API design & documentation.

• Ability to validate early ideas through quantitative and qualitative methods (A/B and multivariate testing, user testing, etc).

Experience in user experience (UX) design a plus.

• Hands-on experience with command-line tools used for interacting with APIs, debugging and testing (e.g. curl, dig, etc.)

• Scripting/programming experience (Python, Go, etc.) and/or experience with web frameworks

• Domain expertise (e.g. as a practitioner or technology provider) in several of: HTTP content delivery, network performance, browser technologies and Internet security.

• Pricing strategy and revenue forecasting experience.

Compensation:

• For Bay Area based hires: Estimated annual salary of $179,000 - $246,000

• For New York City, Washington, Washington D.C. and California (excluding Bay Area) based hires: Estimated annual salary of $172,000 - $237,000

• For Colorado based hires: Estimated annual salary of $156,000 - $215,000

Equity:

This role is eligible to participate in Cloudflare’s equity plan.

Benefits:

Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!

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This is a role that sits at the intersection of product thinking, service design, and cross-functional influence. You will design, manage, and enable the services that move customers forward at every stage of that journey.

Your responsibilities will include:

• Owning the end-to-end service portfolio for your assigned product area , offer design, pricing, BOM standards, lifecycle management, field enablement, and sunset decisions
• Mapping and continuously refining the complete customer journey for your product area, defining how customers are guided across scaled digital motions, Customer Success Tiers, Professional Services, and Education and Training
• Defining measurable customer outcomes and value anchors for each offering, ensuring every service can clearly articulate what success looks like and how it is verified
• Acting as product manager for your product area tooling requirements into the CX Engineering Platform team , writing requirements, reviewing prototypes, managing a backlog, and conducting UAT
• Partnering with PS Engineers, Customer Success, Project Managers, and Solution Architects to gather field input and translate it into refined or net-new service offerings
• Building and maintaining relationships with stakeholders across the full organizational range , from PSEs and CSMs who deliver your services in the field, through to VP-level PS and CS leadership and C-suite executives
• Collaborating with your peers across the CX Services Portfolio team to design consistent customer experiences and ensure services are properly sequenced across the customer lifecycle
• Creating and maintaining field enablement materials , playbooks, objection handling guides, Highspot pages, talk tracks, and training sessions , for CSMs, CSAs, PSEs, and AEs
• Using AI tools actively in your daily workflow to accelerate research, drafting, synthesis, and requirement writing , and contributing what you learn to the team shared AI practice

To succeed in this role, you will need:

• 7+ years of experience in professional services, customer success, solutions architecture, or product management at a SaaS company
• Demonstrated experience designing or managing service offerings , not just delivering them. You have written a scope of work, defined pricing, and built a delivery kit
• Strong understanding of DevOps, application development, SDLC, or security domains , you do not need GitLab product knowledge on day one, but you need the technical foundation to develop it quickly
• Technical depth sufficient to design credible services. You do not need to have delivered these engagements yourself, but you need to understand them well enough that the practitioners who do will trust your judgment
• Deep familiarity with AI/ML engineering workflows, LLM capabilities, and agentic systems , and the organizational change management required for enterprise AI adoption
• A demonstrated AI-forward working style , you actively use agentic coding and AI tools as part of your daily workflow. You have formed opinions about how these tools change the way you work, and you can walk us through a specific workflow you have built or discovered that materially changed your output quality or speed
• Proven ability to build trust and communicate effectively across the full stakeholder range , individual contributors, managers, directors, VPs, and C-suite , in a remote, async-first environment
• Commercial acumen: fluency in how professional services and subscription services are priced, packaged, and sold in an enterprise context
• Strong written communication skills: you can produce clear, concise, and compelling content that resonates with diverse audiences

If you're passionate about designing and delivering exceptional customer experiences, and you have a strong background in professional services, customer success, or product management, we encourage you to apply for this exciting opportunity.

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Your job will be to design and implement reinforcement learning (RL) environments that transform Claude into the best virtual collaborator, training on realistic tasks from navigating internal knowledge to creating financial models.

Responsibilities:

• Training Claude on document manipulation with good taste, including understanding, enhancing, and co-creating (e.g., Office doc formats, data visualisation)

• Designing and implementing reinforcement learning pipelines targeted at virtual collaborator use cases (productivity, organisational navigation, vertical domains)

• Building and scaling our data creation platform for generating high-quality, open-ended tasks with domain experts and crowdworkers

• Integrating real organisational data to create realistic training environments

• Developing robust evaluation systems that maintain quality while avoiding reward hacking

• Partnering directly with product teams (e.g., Cowork, claude.ai) to ensure training aligns with product features

You may be a good fit if you:

• Are a very experienced Python programmer who can quickly produce reliable, high-quality code that your teammates love using

• Have 5-8 years of strong machine learning experience

• Thrive at the intersection of research and product, with a pragmatic approach to solving real-world problems

• Are comfortable with ambiguity and can balance research rigor with shipping deadlines

• Enjoy collaborating across multiple teams (data operations, model training, product)

• Can context-switch between research problems and product engineering tasks

• Care about making AI genuinely helpful for everyday enterprise workflows

Strong candidates may also have experience with:

• Creating RL envs for realistic tasks

• Reward modelling and preventing reward hacking

• Building human-in-the-loop training systems or crowdsourcing platforms

• Working with enterprise tools and APIs (Google Workspace, Microsoft Office, Slack, etc.)

• Developing evaluation frameworks for open-ended tasks

• Domain expertise in finance, legal, or healthcare workflows

• Creating scalable data pipelines with quality control mechanisms

• Translating product requirements into technical training objectives

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is $500,000-$850,000 USD.

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We are looking for a curious and skilled Product Designer ready to take on advanced design challenges and help elevate our security products' user experience. You will collaborate closely with cross-functional teams, including Product Managers, Engineers, Senior and Principal Designers, and UX Researchers, to craft intuitive, research-driven solutions that align with Elastic's vision. This is not just a role; it's a chance to grow your career while tackling some of the most meaningful, complex problems in the industry.

Applications without a link (and password, if applicable) to a Portfolio or a Case Study will not be considered. We appreciate your understanding.

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You will have the opportunity to work with a tremendous services, engineering and sales team and wear many hats. This is a critical role, as Consultants have an amazing chance to make an immediate impact on the success of Elastic and our customers.

Given the opportunity and the organisations that you will be working with, you must be a current holder of Security clearance.

Responsibilities:

• Strong customer advocacy, relationship building, and communications skills
• The ability to easily pivot from delivery to strategic engagements with customers
• To work with the wider Elastic organisation to support the customer’s goals, their strategic requirements and their journey with Elastic.
• Ownership of the strategic roadmap with the customer including quarterly strategic sessions with senior and key stakeholders either in one or a number of customers with common goals.
• Solution design, development, and integration of Elastic products and APIs, platform architecture, and capacity planning in mission-critical environments
• Comfortable working remotely in a highly distributed team
• Development of demos and proof-of-concepts that highlight the value of the Elastic Stack
• Data modelling, query development and optimisation, cluster tuning and scaling with a focus on fast search and analytics at scale
• Solving our customers’ most challenging data problems
• Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions.
• Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns

What You Bring Along:

• Hands-on experience and an understanding of Elasticsearch and/or Lucene
• Minimum of 2 years’ experience as a Software Engineer, System Administrator, or DevOps Engineer
• Minimum of 5 years' experience working as a Consultant, working to deliver and execute on professional services engagements
• Currently holding security clearance
• Experience as a technical instructor or public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions
• Excel at working directly with customers to gather, prioritise, plan and execute solutions to customer business requirements as it relates to our technologies
• Understanding and passion for open-source technology and knowledge and proficient in at least one programming language
• Hands-on experience with large distributed systems from an architecture and development perspective
• Knowledge of information retrieval and/or analytics domain
• The nature of the work that you will be doing will require a high percentage of work onsite with customers, and you should be expected to travel as a result of this requirement
• Understanding of Linux, Java and databases

Bonus Points:

• Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification
• BS, MS or PhD in Computer Science or related engineering discipline
• Strong knowledge of Java and Linux/Unix environment, software development, and/or experience with distributed systems
• Experience and interest in delivering and/or developing product training
• Experience contributing to an open-source project or documentation

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life,map

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The Environment Scaling team is a team of researchers and engineers whose goal is to improve the intelligence of our public models for novel verticals and use cases. The team builds the training environments that fuel RL at scale. This is a unique role that combines executing directly on ML research, data operations, and project management to improve our models.

Responsibilities:

• Improve and execute our fine-tuning strategies for adapting Claude to new domains and tasks
• Manage technical relationships with external data vendors, including evaluation of data quality and reward design
• Collaborate with domain experts to design data pipelines and evaluations
• Explore novel ways of creating RL environments for high value tasks
• Develop and improve QA frameworks to catch reward hacking and ensure environment quality
• Partner with other RL research teams and product teams to translate capability goals into training environments and evals

You may be a good fit if you:

• Have experience with fine-tuning large language models for specific domains or real-world use cases and/or domain expertise in an area where we would like to make our models more useful.
• Have experience with reinforcement learning, reward design, or training data curation for LLMs
• Are comfortable managing technical vendor relationships and iterating quickly on feedback
• Find value in reading through datasets to understand them and spot issues
• Have strong project management and interpersonal skills
• Are passionate about making AI more useful and accessible across different industries
• Are excited about a role that includes a combination of ML research, data operations, and project management

Strong candidates may also:

• Have experience training production ML systems
• Be familiar with distributed systems and cloud infrastructure
• Have domain expertise in an area where we would like to make our models more useful
• Have experience working with external vendors or technical partners

The annual compensation range for this role is $350,000-$850,000 USD.

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As part of the Safeguards team, you'll design and implement ML infrastructure that powers Claude safety. Your work will directly contribute to making AI systems more trustworthy and aligned with human values, ensuring our models operate safely as they become more capable.

Responsibilities:

• Design and build scalable ML infrastructure to support real-time and batch classifier and safety evaluations across our model ecosystem
• Build monitoring and observability tools to track model performance, data quality, and system health for safety-critical applications
• Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems
• Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards
• Implement automated testing, deployment, and rollback systems for ML models in production safety applications
• Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs
• Contribute to the development of internal tools and frameworks that accelerate safety research and deployment

You may be a good fit if you:

• Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment
• Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX
• Have hands-on experience with cloud platforms (AWS, GCP) and container orchestration (Kubernetes)
• Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads
• Have experience with data engineering tools and building robust data pipelines (e.g., Spark, Airflow, streaming systems)
• Are results-oriented, with a bias towards reliability and impact in safety-critical systems
• Enjoy collaborating with researchers and translating cutting-edge research into production systems
• Care deeply about AI safety and the societal impacts of your work

Strong candidates may have experience with:

• Working with large language models and modern transformer architectures
• Implementing A/B testing frameworks and experimentation infrastructure for ML systems
• Developing monitoring and alerting systems for ML model performance and data drift
• Building automated labeling systems and human-in-the-loop workflows
• Experience in trust & safety, fraud prevention, or content moderation domains
• Knowledge of privacy-preserving ML techniques and compliance requirements
• Contributing to open-source ML infrastructure projects

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.

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As a Product Manager, you will work with researchers to understand what's emerging and what it means for users. You will identify nascent research capabilities that could become transformative consumer products and lead 0-to-1 product development from research to internal prototypes to shipped products.

Responsibilities:

• Work with researchers to understand what's emerging and what it means for users
• Identify nascent research capabilities that could become transformative consumer products
• Lead 0-to-1 product development from research to internal prototypes to shipped products
• Define product strategy for consumer initiatives that push beyond our current offerings
• Creatively build MVPs and prototypes to validate product-market fit with the lowest cost possible
• Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems

Requirements:

• Have a track record as a founder or 8+ years in product management, with experience launching new products and scaling existing products
• Can’t stop thinking about new ways to build products on top of the latest model capabilities
• Possess a deep technical background with experience working cross-functionally with engineering teams to ship technical products
• Have the ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
• Experience launching ambitious consumer products that have found distribution or commercial success
• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
• Stay up-to-date and hands-on with emerging research and industry trends
• Prototype with AI tools like Claude Code

Annual compensation range for this role is $385,000-$460,000 USD.

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This role is located in the US (Northeast Preferred) and reports to the Global Leader of Value Acceleration.

Key responsibilities include:

• Drive significant financial impact across Financial Services sector customers in the Americas
• Identify root causes of challenges in our value selling process and implement scalable solutions
• Work with Leadership ensuring that sales-led customer engagements are centered around value creation and measurement
• Be instrumental in pursuits of key accounts, building win narratives and account strategy
• Help win sales opportunities, directly engaging with sales teams and customers to build the business case and document the impact realized from using Databricks
• Teach the tenets of Business Value Consulting to field Sales and Customer Success teams
• Work with Marketing to promote the measurable impact of Databricks inside and outside our company through presentations, blogs, webinars, and whitepapers
• Build reusable financial benefit analysis models for BVC practitioners and field teams
• Partner with GTM leaders to advance industry and broader go-to-market objectives
• Leverage Databricks' unique differentiators to address customer challenges and accelerate growth

This high-impact role places you at the intersection of cutting-edge enterprise data & AI innovation and business transformation. As part of our well-connected Value team, you'll have:

• Access to industry-leading experts and thought leaders
• Autonomy to select problems that align with your passion and critical business needs
• Opportunity to drive meaningful change across the organization
• Clear path for career progression based on impact
• Work with a team that has a reputation for driving meaningful change throughout Databricks

We are looking for a highly experienced Business Value Consultant with a strong understanding of data challenges faced by individual contributors and leaders in FINS. You should have:

• 9+ years experience as part of an enterprise software sales or consulting team or working in IT
• 5+ years experience as a Business Value Consultant
• Experience applying data-driven problem solving to business challenges
• Strong understanding of data challenges faced by individual contributors and leaders in FINS
• Ability to quickly become conversant in Databricks' differentiators (within 6 months)
• Experience with how big data, analytics, ML and AI support the business
• Consultative approach working externally with customers and internally as well
• Outstanding communication and presentation skills; articulate and professional
• Excellent business case creation and analysis skills
• Financial and business acumen
• A truth-seeking problem solver
• Industry domain expertise in Financial Services
• Experience expanding existing customer relationships
• Winning as part of a team

Travel requirements: Travel within the US depending on customer need, frequency varies.

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Strong customer advocacy, relationship building, and communications skills are essential for this role. You will need to be able to easily pivot from delivery to strategic engagements with customers. You will work with the wider Elastic organisation to support the customer's goals, their strategic requirements, and their journey with Elastic.

Responsibilities:

• Strong customer advocacy, relationship building, and communications skills
• Ability to easily pivot from delivery to strategic engagements with customers
• Work with the wider Elastic organisation to support the customer's goals, their strategic requirements, and their journey with Elastic
• Ownership of the strategic roadmap with the customer including quarterly strategic sessions with senior and key stakeholders
• Solution design, development, and integration of Elastic products and APIs, platform architecture, and capacity planning in mission-critical environments
• Comfortable working remotely in a highly distributed team
• Development of demos and proof-of-concepts that highlight the value of the Elastic Stack
• Data modelling, query development and optimisation, cluster tuning and scaling with a focus on fast search and analytics at scale
• Solving our customers' most challenging data problems
• Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions
• Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns

Requirements:

• Hands-on experience and an understanding of Elasticsearch and/or Lucene
• Minimum of 2 years' experience as a Software Engineer, System Administrator, or DevOps Engineer
• Minimum of 5 years' experience working as a Consultant, working to deliver and execute on professional services engagements
• Currently holding current UK security clearance, or has previously held security clearance, or is willing to undergo security clearance
• Experience as a technical instructor or public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions
• Excel at working directly with customers to gather, prioritise, plan and execute solutions to customer business requirements as it relates to our technologies
• Understanding and passion for open-source technology and knowledge and proficient in at least one programming language
• Hands-on experience with large distributed systems from an architecture and development perspective
• Knowledge of information retrieval and/or analytics domain
• The nature of the work that you will be doing will require a high percentage of work onsite with customers, and you should be expected to travel as a result of this requirement
• Understanding of Linux, Java, and databases

Bonus Points:

• Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification
• BS, MS, or PhD in Computer Science or related engineering discipline
• Strong knowledge of Java and Linux/Unix environment, software development, and/or experience with distributed systems
• Experience and interest in delivering and/or developing product training
• Experience contributing to an open-source project or documentation

As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave

Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

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