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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This role is how Anthropic shows what's possible with Claude. Not through product claims, but through proof. Teachers building grading systems, nurses building intake workflows, lawyers building contract review pipelines. This is happening every day in our community, and most of it goes unseen.

You will build the function that leads activations and hackathons to surface it, produces it at a high level of craft, and turns it into a repeatable system. The ideal candidate combines community program management and strong creative direction with real production ability and an instinct for where the good stories are.

Responsibilities:

• Build and run a user-facing community storytelling function from scratch, including sourcing strategies, editorial standards, content strategy, production systems, and measurement

• Define the creative direction and visual standard for 'Built with Claude' as an owned content channel

• Build and operationalize our virtual hackathon program as a key way to surface user projects

• Source builders and their projects from across the community's programs, interview them, and produce spotlights and case studies end to end

• Build and maintain a use case library that functions as a real project repository with working demos and linked repos, not a marketing page

• Develop content strategies that drive user acquisition through proof of product value and expose existing users to new workflows

• Partner with Product Marketing on launch narratives grounded in real community use cases

• Support Comms and Policy with a validated library of proof points they can draw from on demand

• Own the metrics framework that connects community storytelling to user-level outcomes

• Build repeatable systems so a single community post can become a user story, a campaign asset, and a policy proof point

You may be a good fit if you

• Have 7+ years in creative direction, editorial, content strategy, or community marketing, with a track record of building programs from scratch

• Have built content programs or editorial channels from the ground up, not just run existing ones

• Have experience producing or scaling hackathon, competition, or user showcase programs

• Hold yourself to publication-quality standards and treat narrative, visual identity, and editorial craft as strategic work

• Are a strong writer and producer who wants to stay hands-on, not just set direction

• Are self-directed and comfortable operating without a playbook

• Understand how to earn trust in communities and believe the best marketing amplifies real people

• Are comfortable with data and can connect editorial work to measurable outcomes

• Can move between strategic creative direction and fast-turnaround production

• Work well across functions and can make community insights useful to teams with very different mandates

• Thrive in fast-moving environments where you're building the function as you run it

• Are genuinely curious about what people build with AI tools

The annual compensation range for this role is $255,000-$320,000 USD.

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In this role, you'll craft compelling narratives that make frontier AI research and safety work more accessible and meaningful to journalists, policymakers, the broader research and safety community, and the public.

The ideal candidate is a creative storyteller with strong proactive and reactive muscle, has a genuine curiosity about science and research, and the judgment to navigate nuanced, novel topics with care. You should be able to move fast, think critically, and collaborate across a wide range of technical and non-technical teams.

This is a unique opportunity to shape how one of the world's leading AI labs communicates about the fundamental science of AI safety at a crucial moment for the field.

Responsibilities:

• Develop and execute communications strategies across our research portfolio, including interpretability, alignment, model welfare, and model training, turning dense technical work into stories that resonate with distinct audiences.

• Lead launch moments for major research publications, papers, and milestones, owning the narrative, media strategy, and cross-functional rollout.

• Create thought leadership opportunities for research executives to build their profiles as leading voices in AI safety through speaking engagements, bylines, conferences, and media.

• Build and maintain relationships with key science and technology journalists, research-focused outlets, and influencers in the AI and ML space.

• Serve as a trusted comms partner to research leads and senior stakeholders

Requirements:

• 8+ years of experience working in communications, ideally with significant time spent on science, research, or deep-tech storytelling.

• Strong record of building proactive communications campaigns around technical or scientific work that resonated with a diverse range of audiences.

• Excellent at translating complex technical concepts into compelling messaging.

• Media relations experience, including with reporters who cover tech, science, and research rather than just business or product news.

• Experience working directly with researchers, scientists, or engineers on a variety of topics

Nice to have:

• Experience in science communications, academic research communications, or deep-tech comms

• Experience building executive brand and thought leadership programs , positioning technical leaders as credible, visible voices in their field through speaking, media, and owned content strategies.

• Background working directly with research teams, academic labs, or R&D functions at a technology company

• Track record of launching research papers, scientific findings, or technical reports to press and public

• Experience communicating about emerging or philosophically novel topics where public understanding is limited and the risk of misinterpretation is high

• Familiarity with the AI safety and alignment landscape

Salary:

$255,000-$255,000 USD

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The main purpose of the Communications Data & Insights role is to be responsible for the gathering, organising and analysing data from all relevant internal and external data sources to enable the marcomms department to make data-driven decisions resulting in improved performance and impact.

As Communications Insights & Measurements Analyst, you will analyse, build and implement a range of insight, research tools and activities to ensure that the team and wider organisation has the knowledge it needs to put our priority audiences at the heart of everything we do.

The role is very hands-on, and will require a can-do attitude and confidence to take on new challenges. It is a great opportunity for someone who would like to grow their responsibilities and have various research programmes/projects, and a broad scope of work.

You will be working on a variety of small to large-scale projects. This will include using a suite of media monitoring and social listening tools, tracking information, analytics tools, creating dashboards, reports, and other useful resources for the team, to support in guiding our marcomms strategy and helping the team deliver impact.

Key Responsibilities:

• Analyse marcomms channel metrics, including website and social media stats and benchmarks, media mentions and headlines, and executive social media and media engagements.
• Update, maintain and develop team self-serve dashboards to support issue identification and decision making.
• Monitor and analyse the media landscape, including impact and engagement tracking of key voices.
• Social media monitoring and analysis for key moments and launches.
• Support with monthly team performance and channel reports and learnings, with actionable insights and tailored overviews and presentations with team members and stakeholders.
• Support with Internal Communications measurements, including channel and impact analysis, metrics and KPIs, and audience segmentation.
• Analyse and measure Executive Communications, Engagements and Social Media, including channel, audience and impact analysis.
• Analyse website user behaviour, and user journeys through from the Google DeepMind site to various sites, platforms and tools - identifying trends and pain points which can then be improved to deliver a best customer experience across all digital touchpoints.
• Support with delivering reports following Google DeepMind launches and competitor moments to help stakeholders understand external reactions, impact and sentiment, vs prev launches and competitor moments.
• Support with analysis of competitor moments, including key details and external reactions.
• Support with maintenance of team Insight repository.
• Recommend and Implement new performance measures and metrics for short-term and long-term communications efforts, and coordinate the reporting and analysis work across the marketing and communications organisation.
• Maintain and update our channel benchmarks (overall and per strategy area) to ensure the team can accurately compare campaigns and moments.
• Partner and work with external and internal stakeholders to collaborate, share learnings and implement best measurement practices.

About You:

• To set you up for success as a Communications Data and Insights Manager at Google DeepMind, we look for the following skills and experience:

• Proven experience working in a similar Communications or Marketing Data, Insight analytics type role.

• Experience using AI tools to support with work efficiencies and optimisation - including building out custom prompts, Gemini Gems, Notebooks and other AI support tools and agents.

• Strategic, analytical, and have strong communication skills, as well as being able to relay technical information/data/results.

• Extensive experience working with Google Analytics, Brandwatch (social listening), Google Search Console, YouTube Analytics, Looker Studio for reporting / dashboarding etc.

• Experience working with PR/Comms Reporting tools such as NewsWhip.

• Strong numerical and analytical skills are crucial.

• Able to combine and interpret high volumes of data from multiple sources.

• Able to synthesise information from a variety of sources, add insightful commentary and translate data / trends into practical recommendations and stories to improve performance.

• Strong writing and storytelling skills are crucial, prior experience in marketing is useful.

• Excellent spoken, written and visual communications skills, including the ability to visualise data in simple, concise, clear and impactful ways.

• Strong project management skills and experience in creating insight dashboards (if not the experience, the potential to learn quickly).

• Commitment to learning about new insight tools.

• Confidence to work and collaborate with a range of stakeholders.

• Hands-on social listening experience, audience analysis or data/statistical analysis, preferably with exposure to audience insights and social media research.

• You work well both independently and as a part of team.

• Strong ability to manage yourself and time, working effectively across multiple priorities.

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Product Marketing Lead, Privacy

Location

San Francisco

Employment Type

Full time

Department

Marketing

Compensation

$284K – $415K

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.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

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

About the team

OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform.

We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels.

About the role

We’re looking for a Privacy Product Marketer to drive company-wide privacy narratives, strategy, and execution across our entire product portfolio. You’ll combine strong judgment with customer empathy and cross-functional leadership to translate privacy principles, user needs, and regulatory expectations into clear product requirements, crisp messaging, and scalable go-to-market readiness. This role is ideal for someone who thrives in ambiguity, enjoys influencing and aligning organizations and is energized by partnering deeply across teams to deliver trustworthy products.

Responsibilities

• Lead discovery to understand user expectations, enterprise requirements, and market dynamics related to privacy, trust, and data stewardship
• Translate privacy insights into clear product requirements and programs in close partnership with Product, Engineering, Legal, and Privacy/Policy stakeholders
• Partner with Design, Data Science, and Analytics to define success metrics for privacy experiences (e.g., comprehension, control adoption, incident reduction, support burden) and create measurement plans
• Identify privacy risk areas across the product lifecycle (data collection, retention, training use, access controls, sharing, third parties) and drive cross-functional mitigation plans
• Build clear, durable narratives and materials that explain privacy choices simply (e.g., product messaging, help center content, FAQs, internal enablement, exec-ready updates)
• Coordinate readiness across teams (Product, Legal, Comms, Support, Sales) so launches are accurate, consistent, and scalable
• Develop and maintain a privacy positioning framework across products—what we do, why it matters, and how we differentiate—while staying grounded in real product capabilities
• Continuously evaluate and improve existing privacy experiences to increase clarity, trust, and user adoption of controls

Requirements

• Have strong structured problem-solving skills—taking ambiguous privacy/trust problems, breaking them into answerable parts, and driving execution through to implementation
• Can connect user expectations and regulatory/partner requirements to product strategy, influencing prioritization across Product/Engineering/Design
• Have experience with privacy-adjacent domains (privacy UX, trust & safety, security, data governance, compliance, or responsible AI) and enjoy navigating complexity
• Communicate clearly and persuasively—turning nuanced policy/technical concepts into crisp user value and straightforward guidance
• Are fluent in qualitative and quantitative approaches (user research, surveys, funnel analysis, experimentation, support signals) and can turn insights into decisions
• Thrive in fast-paced, high-ambiguity environments and can manage multiple cross-company workstreams with strong judgment
• Are highly collaborative, proactive, and comfortable leading cross-functional efforts without direct authority
• Care deeply about building products that users can understand, control, and trust

Experience Level

Mid

Employment Type

Full time

Workplace Type

Hybrid

Category

Marketing

Industry

Technology

Salary Range

$284K – $415K

Required Skills

• Privacy UX
• Trust & safety
• Security
• Data governance
• Compliance
• Responsible AI
• User research
• Surveys
• Funnel analysis
• Experimentation
• Support signals
• Cross-functional leadership
• Strong judgment
• Customer empathy
• Data-driven approach
• Product strategy
• Messaging
• Scalable go-to-market readiness

Preferred Skills

• Product management
• Engineering
• Design
• Data science
• Analytics
• Marketing
• Sales
• Partnerships
• Research
• Comms
• Legal
• Policy
• Privacy
• Trust
• Safety
• Security
• Data governance
• Compliance
• Responsible AI
• User research
• Surveys
• Funnel analysis
• Experimentation
• Support signals
• Cross-functional leadership
• Strong judgment
• Customer empathy
• Data-driven approach
• Product strategy
• Messaging
• Scalable go-to-market readiness

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Finance

Compensation

• $185K – $275K • 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.

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 Procurement organization enables our mission by ensuring every dollar is spent responsibly, compliantly, and efficiently. As a key part of this function, the Accounts Payable (AP) team partners closely with Procurement Operations, Accounting, Finance, and business stakeholders to deliver a seamless, scalable payment experience.

About the Role

You’ll own AP strategy and jump into day-to-day execution (a true player–coach). Expect to set the roadmap, lead people and partners, act as the primary escalation point, and also personally clear complex exceptions, process work during spikes, and close the books alongside the team. You’ll also partner with hardware and operations stakeholders to define and launch asset management and receiving processes that enable 3-way match—including building where these processes don’t yet exist.

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

In this role, you will:

• End-to-end ownership (Indirect & Direct): intake, 2/3-way match, exception handling, disbursements, vendor inquiries, and close activities.

• Escalation lead: act as the primary escalation point; partner closely with the hiring manager and Accounting to rapidly resolve complex exceptions, payment holds, and close blockers.

• Stand up Direct foundations: partner with hardware and operations stakeholders to define and launch asset management and receiving processes required for 3-way match—including building where processes don’t yet exist.

• Scale for growth: improve cycle time, first-pass yield, and on-time payment; strengthen PO discipline and receiving alignment; drive root-cause reduction of top exceptions.

• Controls & compliance: maintain SOX-aligned approvals and documentation; ensure segregation of duties; lead internal/external audit requests and remediation.

• Automation & design: design and implement ERP/AP workflow, OCR/approvals, and integration hygiene to reduce manual touchpoints; partner with Procurement and Accounting on data quality.

• Vendor experience: enable self-service where possible; resolve escalations (price/qty/tax mismatches, credits, banking); negotiate operational terms with Finance/Procurement partners.

• People & partners: manage, mentor, and develop AP staff; oversee BPO/offshore capacity with clear SLAs/KPIs and a continuous-improvement cadence.

• Reporting & comms: own AP dashboards and narratives—aging, cycle time, exceptions, payment forecast, cash needs, and risk themes; communicate progress to leadership.

You might thrive in this role if you:

• Bring 8+ years of experience in Accounts Payable or Accounting, including 3+ years leading teams or programs across both Indirect and Direct spend types.

• Have thrived in high-growth, scaling environments, balancing long-term process design with hands-on execution.

• Offer deep technical proficiency in 2-/3-way match, PO discipline, tax handling (sales/use/VAT), and month-end close (accruals, reconciliations).

• Have designed and automated AP workflows, leveraging ERP/AP automation, OCR, approval routing, and RPA—and are willing to get hands-on during volume spikes.

• Maintain a strong controls mindset aligned to SOX, and can confidently partner with Accounting, Procurement, FP&A, and Supply Chain.

• Have hands-on experience with tools like Oracle Fusion, Zip, Navan, VNDLY, Brightflag, Jira, or similar enterprise platforms—especially in integrated environments.

• Have proven experience across Indirect and Direct spend, ideally in high-growth, scaling environments—you’re comfortable building for the future while handling the demands of today.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits humanity. It is a leading player in the field of AI.

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Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $295K – $555K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprises and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference.

About the Role

We’re hiring engineers to scale and optimize OpenAI’s inference infrastructure across emerging GPU platforms. You’ll work across the stack - from low-level kernel performance to high-level distributed execution - and collaborate closely with research, infra, and performance teams to ensure our largest models run smoothly on new hardware.

This is a high-impact opportunity to shape OpenAI’s multi-platform inference capabilities from the ground up with a particular focus on advancing inference performance on AMD accelerators.

In this role, you will:

• Own bring-up, correctness and performance of the OpenAI inference stack on AMD hardware.

• Integrate internal model-serving infrastructure (e.g., vLLM, Triton) into a variety of GPU-backed systems.

• Debug and optimize distributed inference workloads across memory, network, and compute layers.

• Validate correctness, performance, and scalability of model execution on large GPU clusters.

• Collaborate with partner teams to design and optimize high-performance GPU kernels for accelerators using HIP, Triton, or other performance-focused frameworks.

• Collaborate with partner teams to build, integrate and tune collective communication libraries (e.g., RCCL) used to parallelize model execution across many GPUs.

You can thrive in this role if you:

• Have experience writing or porting GPU kernels using HIP, CUDA, or Triton, and care deeply about low-level performance.

• Are familiar with communication libraries like NCCL/RCCL and understand their role in high-throughput model serving.

• Have worked on distributed inference systems and are comfortable scaling models across fleets of accelerators.

• Enjoy solving end-to-end performance challenges across hardware, system libraries, and orchestration layers.

• Are excited to be part of a small, fast-moving team building new infrastructure from first principles.

Nice to Have:

• Contributions to open-source libraries like RCCL, Triton, or vLLM.

• Experience with GPU performance tools (Nsight, rocprof, perf) and memory/comms profiling.

• Prior experience deploying inference on other non-NVIDIA GPU environments.

• Knowledge of model/tensor parallelism, mixed precision, and serving 10B+ parameter models.

About OpenAI

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

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