Location: New York, New York, United States
About the Role
iCapital is seeking an Assistant Vice President or Vice President Product Manager to join the Pre-Investment Product organization. This highly visible role will help shape the experiences and platform capabilities that enable the discovery, evaluation, research, and access of alternative investment opportunities. Operating at the intersection of Product, Engineering, Data, Operations, and Client Solutions, this individual will contribute to intuitive marketplace experiences and scalable solutions that support informed investment decisions. This role offers the opportunity to influence the continued evolution of the pre-investment experience while supporting future growth, product innovation, and platform expansion.
Responsibilities
Own the vision, strategy, roadmap, and execution for product discovery, research, diligence, and access capabilities across the iCapital platform.
Partner with internal stakeholders and external clients to identify business challenges and develop innovative solutions that improve the pre-investment experience and client satisfaction.
Lead large-scale cross-functional initiatives involving multiple teams, systems, and business processes while balancing tactical delivery with long-term platform strategy.
Manage the end-to-end product lifecycle from discovery through launch and continuous improvement, including prioritization, requirements definition, testing, rollout planning, adoption monitoring, and iterative enhancement.
Translate complex business workflows into intuitive user experiences by defining business requirements, user stories, process flows, acceptance criteria, business rules, and success metrics.
Partner with Engineering and Architecture teams to build scalable services that improve search, browsing, filtering, discovery, comparison, personalization, fund visibility, and product accessibility across the platform.
Develop a deep understanding of investment product data, user personas, and user journeys to enhance research and diligence experiences and support informed investment decisions.
Utilize qualitative and quantitative insights to improve user engagement, platform adoption, operational efficiency, and self-service capabilities for internal and external users.
Identify opportunities to leverage artificial intelligence, automation, and workflow optimization to simplify operational complexity and enhance product research, discovery, and investment decision support.
Communicate priorities, progress, risks, dependencies, and strategic decisions effectively to stakeholders and senior leadership.
Investigate production issues, identify root causes, and drive tactical resolutions and long-term improvements that create scalable foundations for future platform growth and innovation.
Qualifications
6–10+ years of product management experience within fintech, wealth management, asset management, investment technology, enterprise software, SaaS platforms, or related industries
Proven experience owning and scaling complex products from strategy and discovery through execution, launch, adoption, and continuous improvement
Demonstrated ability to independently lead large-scale, cross-functional initiatives
Experience building marketplace, search, discovery, recommendation, workflow, research, or data-driven products
Strong understanding of access management, entitlement frameworks, visibility rules, permissions, configuration-driven systems, or administrative platforms, including the development of scalable and transparent access capabilities
Able to model complex business domains and translate business concepts into logical entities, relationships, workflows, business rules, and scalable platform capabilities
Experience creating or reviewing domain models, process flows, user journeys, workflow diagrams, system interactions, and business architecture artifacts
Knowledge of technical tradeoffs and proven ability to contribute meaningfully to discussions involving APIs, integrations, platform architecture, scalability, data models, and system design
SQL proficiency and comfort working directly with data to investigate issues, validate assumptions, measure outcomes, and inform product decisions
Strong analytical and problem-solving skills with the ability to navigate ambiguity and make informed decisions
Exceptional communication, organization, and stakeholder management skills, including experience working directly with executive leadership, clients, business partners, and engineering teams
Familiar with alternative investments, advisor platforms, broker-dealer ecosystems, RIAs, wealth management workflows, or investment product distribution is strongly preferred
Experience with modern product, technical, and collaboration tools, including Jira, Confluence, Figma, analytics platforms, API development tools, AI productivity tools, and data visualization solutions
Benefits
This position may be filled at either the Assistant Vice President or Vice President level, depending on the selected candidate’s experience and qualifications.
The base salary range for the AVP role is $
120,000 to $150,000 and the range for the VP role is $150,000 to $185,000.
iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
X: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Dublin
Workplace: hybrid
About us
Aave Labs began with a simple question: how do we make financial services like borrowing, saving, and earning more accessible globally?
We built the Aave Protocol, now the world’s largest and most trusted onchain lending market, connecting decentralized finance with individuals, traditional finance, and fintech.
Today, we build trusted, high-quality products that expand access to lending, credit, and savings globally
Our culture
We build trusted products that help people access and discover economic opportunities.
We hold a high bar for quality and craftsmanship. No detail is too small. Trust depends on it.
We’re a global team building products people can actually use, turning complex technology into something simple and reliable.
We stay aligned, move quickly, and think long term, while keeping teams lean and focused on impact.
About the role
We’re looking for a Director of Operations to lead the operational function supporting our growing global business.
This is a senior, hands-on leadership role responsible for building the processes, systems and operating infrastructure needed to deliver a seamless customer experience at scale. You’ll sit at the intersection of Product, Engineering, ICT & Security, Compliance, Support and the wider business, ensuring our day-to-day operations are efficient, resilient and ready to support continued growth.
The role combines Group-wide operational leadership with specific regulatory responsibilities within our Irish regulated entity, Push Virtual Assets Ireland Ltd. The successful candidate will be expected to obtain approval from the Central Bank of Ireland to perform the Pre-Approval Controlled Function of Chief Operating Officer (PCF-42) and undertake responsibilities associated with Controlled Function CF-8 (Complaints Adjudication).
You’ll be responsible for ensuring that our regulated operations meet applicable regulatory requirements, while developing proportionate and scalable operational frameworks for the wider business. This requires someone who understands how to balance operational efficiency, customer experience and innovation with the governance, accountability and controls expected of a regulated financial services business.
Given the nature of our products, you’ll help ensure we maintain a high bar for operational excellence while meeting the requirements expected of a regulated financial services business.
How you can make an impact:
Develop and scale the operational strategy, structure and processes required to support a growing global business and customer base without compromising quality, controls or customer experience
Assume responsibility for the operational management of Push Virtual Assets Ireland Ltd in the capacity of PCF-42, ensuring effective oversight of its day-to-day operations, operational risks, controls and regulatory obligations.
Identify bottlenecks, inefficiencies and operational risks, implementing processes and systems that improve reliability, speed and quality of execution
Ensure we deliver a consistently high-quality customer experience across key operational touchpoints, from onboarding through to ongoing support and issue resolution
Own the Group’s complaints management framework, ensuring complaints are appropriately identified, investigated, escalated and resolved, with specific responsibility for complaints adjudication within the Irish regulated entity in accordance with applicable regulatory requirements.
Identify opportunities to use tooling, automation and AI to reduce manual processes, improve efficiency and create better experiences for both customers and internal teams
Define and monitor operational KPIs, identifying trends, risks and opportunities and translating data into clear actions and priorities
Bring operational and customer insights into product development, helping identify friction points, improve customer journeys and ensure operational readiness for new products and launches
Own relationships and performance across relevant operational vendors and service providers, ensuring they meet our standards for quality, reliability and customer
Partner closely with Compliance and Legal to ensure operational processes and customer outcomes meet applicable regulatory requirements
Work with ICT & Security to oversee operational resilience, incident management and business continuity arrangements, working closely with relevant teams to ensure operational risks and incidents are appropriately identified, managed, escalated and remediated.
Hire, coach and develop a high-performing Operations organisation with a strong culture of ownership, accountability and continuous improvement.
Provide operational reporting and management information to executive leadership and relevant Boards, ensuring appropriate visibility of operational performance, customer outcomes, incidents, complaints and material risks.
Let’s connect if you have:
You have 8+ years of experience in Operations, Customer Operations, Business Operations or a related function, with meaningful experience in a senior leadership role
You’ve built or scaled operations within a high-growth consumer technology, fintech or financial services business
You have experience operating across regulated and unregulated business activities, with an understanding of how operational requirements, governance and controls differ depending on the nature of the business
You have experience delivering customer experiences at scale, with a strong understanding of how operations, technology and support come together across the customer journey
You have a track record of designing processes and operating models that can scale with significant customer and transaction growth
You understand how to use technology, automation and AI to improve operational efficiency and reduce unnecessary manual work
You’re highly data-driven and comfortable establishing KPIs, analysing performance and using data to prioritise improvements
You have experience working closely with Product, Engineering, Compliance and other cross-functional teams
You have a strong understanding of the operational and governance requirements applicable to regulated financial services businesses, including customer complaints, operational risk management and regulatory accountability.
You have experience being a PCF-42 or a similar regulated position
Experience within crypto or Web3 is strongly preferred, particularly within consumer-facing products, but isn’t essential
Haven’t quite met all the criteria? Let’s not miss out on the chance to speak. Whilst you might not meet every single requirement, you might bring other, more exciting skills to the companies!
Equal opportunities statement:
Aave Labs celebrates diversity and views each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, disability, sexual orientation or even the wallet you use, we welcome you at Aave Labs. As an equal opportunities employer, we take accountability and believe in everyone's potential to build, create and inspire changes. With a mission to build a diverse workforce, we are proud to foster a working environment in which everyone can feel safe and valued for who they are.
Location: New York, New York, United States
About the Role
iCapital is seeking a Vice President Product Manager to join the Pre-Investments Product organization. This highly visible role will help shape the platforms and capabilities that support investment products across the firm, with a focus on improving efficiency, increasing transparency, and enabling business growth. Operating at the intersection of product, operations, data, and technology, this role will play an important part in advancing the Pre-Investments product ecosystem and creating structure across complex business needs. The position offers the opportunity to influence meaningful business outcomes through technology while contributing to the continued evolution and scale of the platform.
Responsibilities
Own the vision, strategy, roadmap, and execution for product domains supporting the onboarding, maintenance, and lifecycle management of alternative investment products.
Partner with internal stakeholders and external clients to identify business challenges, uncover opportunities, and deliver scalable solutions that create measurable value.
Lead complex cross-functional initiatives spanning multiple teams, systems, and business processes, balancing near-term priorities with long-term platform strategy.
Manage the end-to-end product lifecycle from discovery through launch and iteration, including prioritization, requirements definition, testing, rollout planning, adoption monitoring, and continuous improvement.
Translate complex workflows, operational processes, and reference data requirements into intuitive user experiences and scalable, maintainable product solutions.
Define clear business and product requirements through business cases, process flows, data models, user stories, acceptance criteria, and success metrics.
Partner with Engineering, Architecture, and Data teams to define scalable domain models, data structures, integrations, and platform capabilities that support long-term business growth.
Develop a deep understanding of business entities, relationships, workflows, and data dependencies while driving alignment on data ownership, authoritative sources, system boundaries, and information governance across interconnected platforms.
Identify opportunities to leverage automation, artificial intelligence, and workflow optimization to improve productivity, data quality, operational efficiency, and user experience.
Communicate priorities, progress, risks, dependencies, and tradeoffs to stakeholders and leadership while coordinating closely with the UX, Operations, Legal, Compliance, and other Product teams.
Investigate production issues, identify root causes, and drive tactical and strategic improvements while fostering ownership, accountability, collaboration, and continuous learning.
Qualifications
10–15 years of product management experience within fintech, wealth management, asset management, enterprise software, workflow platforms, data platforms, or related industries
Proven experience owning complex products or platforms from strategy and discovery through execution, adoption, and continuous improvement
Demonstrated ability to independently lead large-scale, cross-functional initiatives involving multiple stakeholders, systems, dependencies, and competing priorities
Experience with enterprise data platforms, master data management, reference data, metadata, or other data-intensive systems
Demonstrated ability to model complex business domains and translate business concepts into logical entities, relationships, attributes, hierarchies, and workflows
Experience creating or reviewing entity relationship diagrams, domain models, process models, workflow diagrams, data flows, and system interaction diagrams
Able to understand technical tradeoffs and contribute meaningfully to discussions involving data models, APIs, integrations, platform architecture, scalability, and system design
SQL proficiency and comfort working directly with data to investigate issues, validate assumptions, and support product decisions
Strong analytical and problem-solving skills, with the ability to simplify complex challenges, navigate ambiguity, and make informed decisions with imperfect information
Strong command of product management practices, including discovery, roadmap development, prioritization, requirements definition, stakeholder alignment, and agile delivery
Exceptional communication, organization, and stakeholder management skills, including experience working directly with senior leaders, clients, business partners, and engineering teams
Familiar with modern product management, technical, and collaboration tools such as Jira, Confluence, Figma, analytics platforms, API tools, and AI productivity tools
Benefits
The base salary range for this role is $140,000 to $185,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
X: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ABOUT THE ROLE
As a Research Engineer, GPU performance, you will sit at the heart of that spectrum: your low-level work directly determines how fast our frontier models can be trained and served. Working hand-in-hand with Research Scientists, you'll make every GPU count.
Mistral AI is hiring an expert in pushing large language model's GPU utilization and performance to their limits.. In this role, you will own the performance of our models end-to-end: writing the low-level code that extracts the maximum capacity from high-end hardware, and rethinking model architectures so they run efficiently at scale.
WHAT YOU WILL DO
- Develop low-level code that takes full advantage of high-end GPUs and maxes out their capacity — from custom kernels to memory-layout and communication optimisations.
- Rethink parts of the generative model architecture to make them more suitable for efficient inference, in collaboration with Research Scientists.
- Integrate low-level efficient code into a high-level MLOps framework, so that optimisations benefit every training run and deployment rather than a single experiment.
- Profile, benchmark and squeeze performance out of large-scale training and inference on thousands of GPUs.
- Model LLM execution on various GPUs with high fidelity to assess hardware usage and build serving performance estimates.
WHAT WE'RE LOOKING FOR
- High technical competence for writing custom low-level kernels and pushing GPUs to their limits.
- High expertise in the distributed computation infrastructure of current-generation GPU clusters.
- Overall understanding of the field of generative AI; knowledge of, or interest in, fine-tuning and using language models for applications.
- Strong software-design instincts: testing, code review, CI/CD.
- Self-starter, low-ego, collaborative.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Remote-Friendly, United States; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Program Overview
Some of our world's grand challenges, from resolving long-open problems in mathematics to designing medicines for neglected diseases, require deep expert judgment that today's AI still lacks. We're working toward an AI scientist, a system capable of the long-horizon reasoning and experimental judgment needed to push the frontier on problems like these. We believe frontier AI, developed safely, can meaningfully accelerate progress across science and engineering. Getting there requires close collaboration with people who have spent years at the frontier of their fields.
The Anthropic STEM Fellows Program brings researchers and experts from across science and engineering into Anthropic for four months to take on the grand challenges of their fields with Claude. Working in small pods of Fellows from related fields, you will pair deep domain expertise with our frontier models and internal tooling to define the hardest open problems in your discipline, build the datasets and simulations that let us test and train Claude on them, and find exactly where it falls short.
We're looking for Fellows across science and engineering. Prior machine learning experience is helpful but not required. Scientific judgment and a willingness to learn quickly matter more.
Our first cohort of more than 20 STEM Fellows across mathematics, physics, the life sciences, and engineering, ran from June to September 2026. The problems they built now feed Claude's training and one of our internal science evaluations.
What to Expect:
A place in a small pod of Fellows working on related problems in your domain. Your pod meets weekly with Anthropic researchers to share methods, pressure-test ideas, and build on each other's work.
A grand challenge at the frontier of your field: an ambitious, open-ended problem scoped with our research team so you can make real progress in four months.
Access to frontier Claude models and internal evaluation tooling.
Compensation:
$100,000–$167,000 USD for the four-month fellowship (equivalent to $300,000–$500,000 USD annualized), and other benefits.
Key responsibilities
Setting grand challenges for your field: identifying long-horizon open problems where Claude falls short of expert judgment, and defining what real progress on them looks like.
Building comprehensive datasets, simulations and rigorous, hard-to-game evaluations that test whether models can plan experiments, interpret data and reason about mechanisms, and systematically finding where they're confidently wrong.
Applying Claude to open problems in your domain, using test-time compute strategies and integrating the scientific tools and software your field relies on.
Minimum qualifications
Are excited about the potential for AI to reason well about hard questions in their field where expert judgment matters.
Hands-on experience using Claude and Claude Code in your day-to-day workflow.
Hold a PhD in a STEM field and have several years of experience (eg post-doc or faculty).
Are comfortable working in a fast-paced, high-agency atmosphere for a few months and delivering concrete results.
Existing authorization to work in the United States for the duration of the program.
Logistics - Fellows
The program runs from
January 12th to May 8th 2027
, and is full-time for the duration; some fellowships may be considered for an extension.
Applications are open until October 28, 2026
, and we plan to make offers by November 20th. Later stages will typically include a take-home exercise and conversations with our research team about your research interests and possible project directions.
We ask that all Fellows attend a one-week in-person orientation in San Francisco.
The default location is in San Francisco. We will consider remote engagements within the United States in certain circumstances.
We are
not
currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the United States.
This is a fixed-term contract position. Fellows are engaged through an employer of record, rather than employed directly by Anthropic.
The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Stockholm
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform.
Specifically, you’ll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter.
You’ll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You’ll own durability and cost at petabyte scale, from streaming and batch replication between origins to garbage collection over billions of objects. You’ll work across the stack, from local disk and page cache to distributed blob storage and garbage collection, and you’ll help shape what storage becomes next as we push storage closer to workloads.
WHAT YOU’LL WORK ON:
- Build P2P sharing of data across workers within a single datacenter to dramatically reduce ingress
- Replicate data across multiple blob storage providers
- Automate garbage collection across hundreds of petabytes of data
- Deploy colocated storage clusters to datacenters to accelerate high-throughput customer workloads
YOU MAY BE A FIT IF:
- You have 5+ years of experience writing high-quality production code
- You’ve built high-performance distributed storage or caching systems at a large scale (the more challenges you’ve worked through, the better)
- You have strong cloud skills, including deep familiarity with object storage (S3 or similar), CDNs, and their consistency, throughput, and cost characteristics
- You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, page cache, containers, etc.)
- You’re willing to step into the thick of it with our on-call rotation and respond to production incidents
NICE-TO-HAVE:
- Experience with replication, content addressing, and consistency models in multi-region or multi-cloud systems
- Experience operating storage systems at scale (petabyte-scale datasets, high-throughput read/write paths, large-scale garbage collection or data migration)
- Experience with data engineering at petabyte scale
- Prior experience with Rust
Location: US, San Diego, CA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
As an Autonomy Engineer focused in VLA Pre-training, you will work on all aspects of training capable policies. You'll pre-train base models on a diverse, multi-embodiment corpus of trajectories, fine-tune policies to excel at specific tasks, shape data collection processes, and explore effective ways to generate and use synthetic data.
This is primarily a deep learning role, so we're looking for experience solving real-world problems with modern neural networks. Robotics experience isn't strictly required, but if you're coming from outside the field, be prepared to get up to speed on a new domain quickly.
WHAT YOU'LL DO
- Post-train policies via behavior cloning and RL; own the full loop from data to deployment.
- Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure modes, ensure diversity and coverage.
- Work closely with external partners to ensure steady supply of high-quality pretraining-scale data.
- Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes.
- Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining.
- Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference.
WHAT WE'RE LOOKING FOR
- 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it.
- Deep hands‑on experience with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference.
- Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies.
- Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code.
- Familiarity with modern software engineering practices.
- You document experiments clearly and communicate trade‑offs crisply.
NICE TO HAVE
- Robotics or autonomous driving experience.
- Experience applying RL to LLMs or robotics.
- Experience with VLA (vision-language-action) models.
- Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization).
- Publications at top-tier deep learning conferences or equivalent open‑source contributions.
- Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open source VLA frameworks.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with employer match.
- Equity included–we believe builders should share in what they build.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in California, the expected base salary range is $180,000–$300,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
We’re hiring a Senior Commercial Counsel to be a core member of Sierra’s legal team. We are looking for someone who has deep expertise in commercial contracts, but also someone who is also eager to broaden their scope across IP, regulatory, and product. You will thrive in dynamic environments, enjoy tackling challenges beyond your comfort zone, and be excited to contribute across the business. In return, we’ll provide the support and opportunities you need to grow and excel as a lawyer. You’ll be part of a legal team that is highly respected within both the company and the broader legal industry—committed to excellence, collaboration, and making a meaningful impact.
- Commercial Contracting: Structure, negotiate and advise on all commercial contracts, including SaaS subscription agreements, technology licenses, professional services agreements, channel partner agreement, vendor agreements and NDAs. Commercial privacy and security contracting experience (e.g., DPAs, BAAs, security agreements) is a plus.
- Operational Excellence: Help build out our commercial function to be best in class. We aim to be the fastest and strongest, where the legal team is the differentiator in the contract lifecycle. You will be developing templates, playbooks, and workflows to drive efficiency and scalability.
- Expertise: Deep knowledge of practice areas that underpin the commercial practice, including contract law, IP and privacy. You will also want to work in AI and understand the nuances of law as it relates to AI, including the evolving regulatory frameworks. You will be expected to advise broadly on all contractual issues and be comfortable doing so.
- Teamwork: A team player first and foremost. Sierra is a unique place to work, with a strong sense of togetherness, and the legal team is no exception. You will look out for your colleagues, be accustomed to sharing and helping the team succeed. As the team grows, you will train and mentor more junior members.
- Judgement: Understand risk in the context of a hyper-scaling business, have sound judgement and be strategic in your decision making. You will not be afraid to make judgement calls, and you will be empowered to do so.
- Approach: A strong work ethic with an eye for detail. You will strive for perfection, and expect that of others.
- Collaborate: Collaborate cross-functionally with Sales, Operations, and Agent Development teams to support revenue growth and strategic business initiatives.
WHAT YOU’LL BRING
- 6+ years of legal experience, with a combination of both large law firm and in-house experience at a tech company. While we are looking for a Senior Legal Counsel, we are open to considering exceptional candidates with less experience as Commercial Counsel.
- A strong background in negotiating and managing complex commercial contracts, preferably in SaaS, AI, or enterprise software.
- Strong communication skills and the ability to partner with both legal and non-legal stakeholders.
- A proactive mindset and the ability to navigate ambiguity in a fast-paced, dynamic startup environment.
EVEN BETTER…
- Experience of privacy/regulatory frameworks and can advise on data processing agreements and security-related contract provisions.
- A passion for AI, with a deep understanding of AI products, LLMs and the related legal issues.
- Significant law firm experience at a top-tier, internationally recognized law firm.
- Experience working at a high-growth startup and operating with a sense of ownership.
- Industry specific knowledge in any of the following: Financial Services, Healthcare, Telecoms, Insurance and/or Consumer.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: United Kingdom; Dublin; Tokyo; United States; New York; Los Angeles; Poland; London; Boston; San Francisco; Washington, D.C.
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
WHAT YOU’LL DO
- Build safety systems: Design, develop, and scale automated moderation systems, abuse detection capabilities, and guardrails for AI agents across ElevenLabs’ products.
- Respond to emerging threats: Partner closely with the Investigations team to identify emerging abuse patterns, understand evolving threats, and continuously improve existing safety systems, detection mechanisms, and guardrails to address new risks.
- Own production infrastructure: Build and maintain a growing ecosystem of internal safety services, taking ownership of their architecture, deployment, reliability, monitoring, and ongoing operation.
- Bring ML models into production: Partner closely with ML engineers to deploy and integrate fine-tuned and proprietary ML models into production safety systems, ensuring they operate reliably and efficiently at scale.
- Build end-to-end solutions: Develop backend services, APIs, internal tools, and user-facing interfaces that enable effective moderation, safety operations, and policy enforcement.
- Collaborate across teams: Work closely with Product, Legal, and Safety Policy teams to translate business, regulatory, and policy requirements into scalable engineering solutions.
- Product: Understand and navigate the tradeoffs between product growth, user experience, and platform safety.
- Legal: Translate legal and regulatory requirements into practical, scalable safety systems.
- Safety Policy: Collaborate on how safety policies are implemented technically, while helping inform policy decisions through an understanding of engineering capabilities and constraints.
- Shape our technical direction: Contribute to architectural decisions and help define how our safety infrastructure evolves as our products, users, and safety challenges grow.
REQUIREMENTS
- 5+ years of software engineering experience building and operating production systems.
- Strong backend engineering experience, including designing APIs, working with databases, and building scalable services.
- Proficiency in Python and experience with modern backend frameworks.
- Experience building and maintaining distributed systems and cloud-based applications.
- Comfortable owning systems end to end, from technical design and implementation through deployment, monitoring, and ongoing maintenance.
- Experience working across different parts of the stack, with the ability to build internal tools or frontend interfaces when needed.
- Strong problem-solving skills and an ability to navigate ambiguous requirements and make pragmatic engineering decisions.
- Ability to collaborate effectively with engineers and non-technical stakeholders across different functions.
BONUS
- Experience building Trust & Safety, content moderation, fraud detection, or abuse prevention systems.
- Experience building guardrails or safety infrastructure for AI agents and LLM-based applications.
- Experience deploying and integrating ML models into production applications.
- Familiarity with Kubernetes, Docker, CI/CD pipelines, and cloud infrastructure (AWS/GCP).
- Experience with monitoring and observability tools such as Prometheus and Grafana.
- Experience with React or other modern frontend frameworks.
- Experience with real-time data processing, event-driven architectures, or technologies such as Kafka and Redis.
LOCATION
This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.
#LI-remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Valencia
Workplace: OnSite
ROLE HIGHLIGHTS
- Satellite Systems, Software Verification Team Lead
- Location: Valencia, Spain
- Department: Global Manufacturing Organisation
- Reports to: Maite Manager
- Employment type: Permanent
- Workplace model: Office
- Employment is subject to applicable security screening (incl. SUPO, where required)
ABOUT THE ROLE
We are looking for an Satellite Systems, Software Verification Team Lead to own the final verification of our satellites, the stage where an integrated spacecraft is proven to work.
Once a satellite has been integrated, your team takes over. You’ll lead satellite-level functional and end-to-end checkout, onboard software loading and validation, and RF testing in our anechoic chamber, with a team of 5 technicians across systems, software and RF.
This is a hands-on leadership role. You’ll spend real time with your team at the satellite, troubleshooting, unblocking issues and improving how we test. ICEYE is scaling satellite production fast, so you’ll also build the processes, tools and KPIs that let verification keep pace without compromising quality.
We’re looking for a strong electronics engineer who is comfortable with software and enjoys leading people. Space experience is a plus, not a requirement. If you’ve led hands-on electronics testing in a demanding industry such as aerospace, defence, automotive or power electronics, we’ll help you learn the space-specific parts.
Who We Are
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
Leading Satellite Verification
- Own satellite-level verification after integration: functional and end-to-end system checkout
- Prove that all onboard systems (power, avionics, software, RF) perform reliably in full configuration
- Be hands-on: lead troubleshooting, isolate faults, unblock issues and keep momentum
Owning Software in Verification
- Own onboard software loading, validation and checkout during production verification
- Maintain and improve test scripts, test automation and software-supported verification flows
- Work with AIT Engineering on software-related issues, telling software faults apart from hardware faults
Overseeing RF Testing
- Make sure RF testing of the satellite in the anechoic chamber is planned, executed and reported to standard, working with the RF specialists in your team
- Keep RF test benches and chamber setups maintained, calibrated and compliant
Quality, Traceability & Compliance
- Plan, execute and report system-level functional tests and inspections
- Maintain configuration control, build discipline and full traceability
- Ensure compliance with applicable aerospace quality standards such as ECSS
- Identify key non-conformances, escalate critical issues and drive resolution of the most impactful ones, supporting root cause analysis led by AIT Engineering
Building Scalable, Repeatable Processes
- Develop work instructions, test procedures and checklists with AIT Engineering and Quality
- Turn unclear inputs into clear, usable processes and reduce tribal knowledge
- Increase throughput and reduce rework while protecting quality
Leading & Developing the Team
- Lead, coach and grow a multidisciplinary team of engineers and technicians
- Build a culture of ownership, accountability and pride in the product
- Teach structured fault diagnosis and test best practices
Working Across Teams
- Be the bridge between verification and engineering (systems, software, RF, AIT)
- Collaborate with Quality, Planning, Supply Chain and the two other production teams (Integration/Mechanical & Thermal; Electronics)
- Prepare verification for higher volumes; define and track KPIs
WHAT WE'RE LOOKING FOR
You don’t need to tick every box. If you have most of the must-haves and the role excites you, we’d like to hear from you.
Must-haves
- A degree in electronics, telecommunications or electrical engineering, or equivalent hands-on experience
- Hands-on experience testing, validating or verifying complex electronic systems, at unit or system level
- Working software knowledge: scripting (ideally Python), loading and configuring software on hardware, version and configuration control
- Experience leading or coordinating a technical team in a hands-on environment
- Ability to read schematics, assembly drawings and test procedures
- Clear communication with engineers, technicians and stakeholders, in fluent English
Nice-to-haves
- Experience in space, aerospace, defence or another high-reliability industry
- RF test experience (spectrum or network analysers, signal generators, anechoic chambers)
- Familiarity with ECSS, NASA-STD or similar standards (such as DO-178C, ISO 26262 or EN 50128)
- Test automation frameworks (such as TestStand, LabVIEW or pytest)
- Experience scaling a test or production process
- Spanish [move to must-haves if Maite confirms it’s required]
WHAT SUCCESS LOOKS LIKE
- Every satellite is verified reliably, predictably, and to standard before it ships
- RF, system, and software verification processes are clear, structured, and scalable
- Problems are isolated and solved at the root, not patched
- The team takes full ownership of verification quality and traceability
- Verification keeps pace with ICEYE's growth
WHY THIS ROLE IS INTERESTING
- You own the moment of truth, proving the satellite works end-to-end
- You'll bring RF, systems, and software verification together under one scope
- You'll shape how verification is done, not just follow existing processes
- You'll work at the intersection of engineering and production, where decisions have immediate impact
APPLICATION PROCESS
- Talent Acquisition Interview
- Hiring Manager General Interview
- Technical Interview, including a Technical Challenge
- Peer & Culture Interview
- VP Interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Base salary range for this position is dependent on experience, and will be negotiated individually.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Canada, Vancouver, BC
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
As a Senior Test and Validation Engineer at Humanoid, you will be responsible for bringing new hardware subsystems into a functional, controllable, measurable, and integration-ready state, including calibration, tuning, characterization, and modeling across actuators, hand/gripper mechanisms, and integrated robotic assemblies.
You will work closely with mechanical design, firmware, controls, manufacturing, and system integration teams to diagnose unstable behavior, define the right parameters and models, and accelerate hardware maturity for upstream controller and software development.
WHAT YOU’LL DO
- Design, plan, and execute test procedures for actuators, mechanisms, grippers, and robotic hands.
- Build and maintain test fixtures and test rigs for dynamic and endurance testing.
- Tune and calibrate sensors like encoder and control loops in the driver, including current, velocity, and position control, and verify stability conditions.
- Develop subsystem characterization methods and identify key parameters such as torque constant profile, friction, inertia, backlash, stiffness, thermal behavior, and efficiency.
- Design, plan, and execute test procedures for actuators, mechanisms, grippers, and robotic hands.
- Build and maintain test fixtures and test rigs for dynamic and endurance testing.
- Develop automated test systems (hardware + software) to validate motor performance, force output, back drivability, and safety limits.
- Conduct lifecycle, stress, thermal, and environmental tests on components and subsystems.
- Analyze test results, create test reports, and drive design feedback loops with engineering teams.
- Collaborate with design engineers to define testable requirements, tolerances, and performance metrics.
- Support incoming QC, assembly-level verification, and field failure diagnostics.
- Maintain test documentation, protocols, and results databases.
- Work closely with control and firmware teams to evaluate actuator behavior in closed-loop scenarios.
WE’RE LOOKING FOR
- Master’s or PhD degree in Mechanical, Mechatronics, Electrical Engineering, Robotics, or a related field.
- 5+ years of experience with robotic hardware, controls, actuator characterization, system commissioning.
- Hands-on experience with motors, actuators, encoders, force/torque sensors, and hardware instrumentation.
- Strong troubleshooting ability and comfort working through ambiguous or unstable hardware problems.
- Experience with calibration, parameter identification, modeling, and mathematical optimization.
- Proficient with tools such as Python (preferred), MATLAB, or C++ for data capture, analysis, and model fitting using OOP(Object Oriented Programming).
- Comfortable with mechanical tools, instrumentation, and prototyping in lab environments.
- Strong understanding of safety testing, failure modes (FMEA), and reliability analysis.
- Excellent documentation, communication, and cross-functional collaboration skills.
- Familiarity with data acquisition systems (DAQ) and tools such as LabVIEW, Python, or MATLAB.
BONUS QUALIFICATIONS
- Experience with strain-wave gear, planetary gear, or custom robotic actuators.
- Experience with robotic hands, grippers, underactuated mechanisms, or tendon-driven systems.
- Experience with and complete understanding of commercial BLDC drivers.
- Familiarity with low-level control development, parameter identification, or dynamic modeling for electromechanical systems.
- Knowledge of EtherCAT, EtherNET, or related motion control DS402.
- Experience supporting integrated arm or leg bring-up on larger robotic platforms.
WHAT WE OFFER
- Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
- Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.
- Competitive equity: stock options with meaningful upside as we scale.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
Location: Canada, Vancouver, BC
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
As a Senior General Mechanical Design Engineer at Humanoid, you will own the design and development of key mechanical subsystems, including robotic joints, structural assemblies, and dynamic mechanisms that enable humanoid mobility and manipulation.
This role requires strong fundamentals in mechanical design, system integration, and GD&T (ASME Y14.5), as well as a passion for building complex hardware systems.
You will collaborate closely with robotics, controls, electrical, and software teams to rapidly prototype, test, and deploy robotic hardware.
Your work will directly influence the performance, reliability, and scalability of our humanoid robots.
WHAT YOU’LL DO
- Design and develop mechanical systems for humanoid robots, including structural components, joints, and robotic linkages
- Create 3D CAD models and production drawings using SolidWorks / NX, applying GD&T (ASME Y14.5) to ensure precision and manufacturability
- Design robotic mechanisms and linkages optimized for strength, weight, efficiency, and durability
- Select materials and manufacturing methods that balance performance, weight, cost, and scalability
- Lead rapid prototyping and iteration, using tools such as 3D printing, CNC machining, and rapid fabrication
- Design components for high volume production, designing for processes like casting, injection moulding, and sheet metal
- Work closely with electrical, controls, and software engineers to integrate motors, sensors, and embedded systems into robotic platforms
- Conduct mechanical testing and validation to verify performance, durability, and system reliability
- Perform design reviews, risk assessments, and safety analysis to ensure robust robotic systems
- Generate and maintain technical documentation, including engineering drawings, specifications, and bill of materials (BOM)
- Own mechanical subsystems from concept through prototyping, testing, and deployment.
WE’RE LOOKING FOR
- 5+ years of professional experience in mechanical design for robotics, electromechanical systems, or complex hardware products
- Bachelor’s or Master’s degree in Mechanical Engineering, Robotics, Mechatronics, or a related field
- Strong fundamentals in mechanics, statics, dynamics, thermals, and material science
- Proficiency with SolidWorks, NX or similar CAD tools
- Experience applying GD&T based on ASME Y14.5
- Experience designing precision mechanical assemblies or mechanisms
- Familiarity with manufacturing processes such as CNC machining, additive manufacturing, and injection molding
- Hands-on experience building, assembling, and testing mechanical prototypes
- Strong analytical and problem-solving skills
- Ability to work effectively in a fast-paced, multidisciplinary engineering environment.
BONUS QUALIFICATIONS
- Experience developing robotic or mechatronic systems
- Experience working on humanoid, legged, or mobile robots
- Experience performing FEA or structural simulations
- Experience with design of cooling systems and optimizing thermal performance
- Experience designing lightweight structural systems
- Familiarity with robotic safety standards such as ISO 10218
- Familiarity with robotic actuators, gear trains, and transmission systems
- Experience in robotics, aerospace, automotive, or advanced hardware startups.
WHAT WE OFFER
- Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
- Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.
- Competitive equity: stock options with meaningful upside as we scale.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in Vancouver, the expected base salary range is $110,000 – $150,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: Canada, Vancouver, BC
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
As a Senior Actuator Mechanical Design Engineer at Humanoid, you will own the design and development of robotic actuators to be integrated in robotic joints and dynamic mechanisms that enable humanoid mobility and manipulation.
This role requires strong fundamentals in mechanical design, system integration, and GD&T (ASME Y14.5), as well as a passion for building complex hardware systems.
You will collaborate closely with robotics, controls, electrical, and software teams to rapidly prototype, test, and deploy robotic actuators.
Your work will directly influence the performance, reliability, and scalability of our humanoid robots.
WHAT YOU’LL DO
- Size and design torque dense actuators for humanoid robots, being responsible for specification and integration of key components including motors, bearings, encoders, and drives
- Select appropriate reduction methods and develop innovative strain wave and planetary gearbox designs
- Create 3D CAD models and production drawings using SolidWorks / NX, applying GD&T (ASME Y14.5) to ensure precision and manufacturability
- Select materials and manufacturing methods that balance performance, weight, cost, and scalability
- Lead rapid prototyping and iteration, using tools such as 3D printing, CNC machining, and rapid fabrication
- Design components for high volume production, designing for processes like casting, injection moulding, and extrusion
- Work closely with mechanical, electrical, controls, and software engineers to integrate actuators and sensors into robotic platforms
- Conduct mechanical testing and validation to verify performance, durability, and system reliability
- Perform design reviews, risk assessments, and safety analysis to ensure robust robotic systems
- Generate and maintain technical documentation, including engineering drawings, specifications, and bill of materials (BOM)
- Own mechanical subsystems from concept through prototyping, testing, and deployment.
WE’RE LOOKING FOR
- 7+ years of professional experience in mechanical design for robotics, electromechanical systems, or complex hardware products
- 3+ years of professional experience designing planetary, cycloidal, or strain wave actuators
- Bachelor’s or Master’s degree in Mechanical Engineering, Robotics, Mechatronics, or a related field
- Strong fundamentals in mechanics, statics, dynamics, and material science
- Proficiency with SolidWorks, NX, or similar CAD tools
- Experience applying GD&T based on ASME Y14.5
- Experience designing precision mechanical assemblies or mechanisms
- Familiarity with manufacturing processes such as CNC machining, additive manufacturing, and injection molding
- Hands-on experience building, assembling, and testing mechanical prototypes
- Strong analytical and problem-solving skills
- Ability to work effectively in a fast-paced, multidisciplinary engineering environment.
BONUS QUALIFICATIONS
- Experience using KISSsoft or RoMax to develop gearboxes
- Experience designing ball screw, lead screw, or roller screw actuators
- Experience working on humanoid, legged, or mobile robots
- Experience performing FEA or structural simulations
- Experience in the testing or thermal modelling of electric motors or gearboxes
- Experience in robotics, aerospace, automotive, or advanced hardware startups
WHAT WE OFFER
- Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support.
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
- Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day.
- Competitive equity: stock options with meaningful upside as we scale.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in Vancouver, the expected base salary range is $120,000 – $170,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: London
Workplace: Hybrid
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
THE ROLE
Checkout.com http://Checkout.com is looking for an enthusiastic Engineer I to join Finance Technology with a focus on Workday Adaptive Planning. Adaptive Planning supports finance, workforce, sales, and operational planning, giving teams a shared platform for budgeting, forecasting, modelling, reporting, and decision-making.
This is an early-career engineering role for someone who wants to build depth in finance systems, application configuration, data integration, and operational support. You will work with Finance, Finance Technology, Data, and wider Corporate Technology teams to keep planning processes reliable, well-controlled, and easy to operate.
You will have support from more senior engineers for complex design decisions, but you will be expected to work independently for longer periods on well-defined configuration, integration, support, and continuous-improvement tasks. This reflects Checkout’s Engineer 1 expectations: delivering small-to-medium-sized work, supporting common operational flows, communicating clearly, and taking ownership of the quality of what you deliver.
HOW YOU’LL MAKE AN IMPACT
- Configure, maintain, and enhance Adaptive Planning models, dimensions, versions, levels, accounts, sheets, reports, dashboards, and planning workflows under appropriate guidance.
- Support the delivery of budgeting, forecasting, headcount planning, scenario modelling, and management reporting capabilities for Finance and business stakeholders.
- Build and support data loads and integrations between Adaptive Planning, Workday Financials, Workday HCM, and other approved internal or third-party systems.
- Maintain data mappings, transformation rules, validation checks, and reconciliation processes so that planning data is complete, accurate, and traceable.
- Monitor scheduled loads and integration tasks, investigate failures, and resolve common data or configuration issues within agreed service levels.
- Triage incidents and service requests, identifying root causes and escalating complex or high-risk issues with clear evidence and recommended next steps.
- Partner with Finance stakeholders to understand requirements and translate them into maintainable system configuration, reporting, or integration changes.
- Contribute to the assessment and delivery of future analytics data flows, including the potential use of Adaptive Planning data in BigQuery and management analytics.
- Participate in testing, regression testing, release preparation, and controlled deployment of Adaptive Planning changes.
- Follow change-control, access-management, data-quality, and audit requirements relevant to financial systems and planning data.
- Create clear documentation, support guides, data dictionaries, integration runbooks, and knowledge-base articles so that operational knowledge is shared rather than held by one person.
- Identify recurring manual work or failure patterns and propose practical automation and process improvements.
WHAT WE’RE LOOKING FOR
ESSENTIAL EXPERIENCE AND SKILLS
- Experience in a finance systems, enterprise applications, data, reporting, or integration environment.
- Practical experience with Workday Adaptive Planning, or strong experience with a comparable planning, performance-management, ERP, or finance application and a clear ability to learn Adaptive quickly.
- Understanding of core finance planning concepts such as budgets, forecasts, actuals, variance analysis, allocations, dimensions, hierarchies, and scenarios.
- Experience configuring or supporting structured data models, application workflows, reports, dashboards, or business rules.
- Ability to work with data imports, exports, mappings, transformations, validations, and reconciliations.
- Strong troubleshooting skills, with the ability to break down an issue, gather evidence, identify likely causes, and communicate findings clearly.
- Good attention to detail and an understanding of why accuracy, access control, auditability, and repeatability matter in finance systems.
- Ability to manage small-to-medium-sized tasks independently while knowing when to ask for help or escalate.
- Strong written and verbal communication skills, with the ability to work effectively with Finance and Technology stakeholders.
DESIRABLE EXPERIENCE
- Workday Adaptive Planning certification or implementation experience.
- Experience with Adaptive Planning Integration, Planning Data Loader, APIs, or equivalent enterprise planning integration tooling.
- Experience integrating planning systems with Workday Financials, Workday HCM, an ERP, a data warehouse, or a reporting platform.
- Familiarity with SOX controls, financial audit requirements, data privacy, and segregation of duties.
- Experience supporting month-end, budget, forecast, or management-reporting cycles.
- Exposure to Agile delivery, ticket-driven change management, incident management, or service-management practices.
WHAT SUCCESS LOOKS LIKE
After the first 6–12 months, you will be able to:
- Support common Adaptive Planning configuration, data-load, and reporting requests with limited supervision.
- Diagnose and resolve routine integration or data-quality issues using a structured troubleshooting approach.
- Deliver small-to-medium-sized enhancements from requirement clarification through testing, documentation, and controlled release.
- Explain key planning data flows, mappings, dependencies, and operational controls to Finance and Technology colleagues.
- Improve the reliability or efficiency of at least one recurring planning or finance-technology process.
- Maintain accurate, useful documentation and contribute positively to team ceremonies, reviews, and knowledge-sharing sessions.
WORKING STYLE AND BEHAVIOURS
We are looking for someone who:
- Takes ownership of tasks and follows through on commitments.
- Acts with urgency and accountability when issues affect Finance or business reporting.
- Is curious about how finance processes, data, and technology fit together.
- Communicates clearly, especially when explaining risk, blockers, trade-offs, or support impact.
- Welcomes feedback and actively develops their technical and domain knowledge.
- Collaborates generously and shares knowledge so the team does not depend on a single subject-matter expert.
- Looks for durable automation and simpler operating processes rather than repeatedly working around the same manual problem.
WHY JOIN FINANCE TECHNOLOGY?
You will work on systems that sit at the centre of how Checkout.com http://Checkout.com plans, forecasts, reports, and makes financial decisions. The role offers the opportunity to develop a broad foundation across enterprise applications, finance processes, integrations, data quality, controls, and automation while working closely with experienced Finance and Technology professionals.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: San Francisco
ABOUT THE ROLE
You’ll be the operational, detail-first finance partner embedded in REW doing the deep-dive transactional and analytical work that the team needs to run cleanly. Reporting directly to the REW Finance Manager (Talia Young), you will own PO QA and lifecycle operations, accruals and month-end support, GL drill-throughs for Budget vs Actuals (BvA) commentary, and vendor spend visualizations. You’ll partner closely with Leasing, Workplace Ops, Design & Construction, Workplace Experience, Sourcing, and P2P — and you’ll be expected to roll up your sleeves and deliver high-quality, defensible analysis and clean data.
CORE RESPONSIBILITIES
- PO lifecycle & ZIP power-user: Validate chart of accounts, budget availability, REW PO line descriptions, start/end dates; help manage REW POs through the PO creation/change order process in ZIP.
- Accruals & month-end: Assist with month end close; Identify POs that require accruals, collect/validate accrual inputs from owners, prepare accrual backup, input/maintain accrual details in the stratfin file, and reconcile reversals when invoices arrive.
- GL drill-through & BvA commentary: Perform transaction-level GL investigations to find root causes of variances, compile support, and prepare concise, stakeholder-ready variance narratives.
- Vendor invoice & spend visualization: Build and maintain vendor-level dashboards and quick visualizations showing spend trends, aged liabilities, and problem areas.
- Data management & actualize files: Maintain and “actualize” REW files (budget skeletons, accrual trackers, PO registers), ensure data hygiene and version control.
- Budget and forecast cycle support: Enhance budget and forecast templates and automate where possible. Collect and review submissions in detail.
- Technology & automation: Bring a technology-first mindset — prototype small automation/AI agent solutions to reduce manual work (e.g., PO QA checks, GL reconciliation assistants).
- Partnering & follow-up: Recurring operational check-ins with stakeholders as it relates to budget/forecast updates and ensuring operations running smoothly from a financial perspective.
MUST-HAVE QUALIFICATIONS
- Bachelor’s degree in Accounting, Finance, or equivalent experience.
- 4-6+ years relevant experience in FP&A/ corporate finance / finance operations
- Practical, hands-on accruals experience (monthly accruals, prepayments, reversals).
- Demonstrated experience with PO lifecycle and PO system operations
- Strong experience performing GL drill-throughs and tracing transactions to source documentation.
- Advanced Google Sheets / Excel modeling skills
- Excellent attention to detail and the ability to produce defensible, audit-ready work.
- Strong partnership and communication skills — able to extract needed information from stakeholders and drive action.
NICE-TO-HAVE
- Experience with NetSuite, Workday, Oracle, or other ERPs.
- Dashboarding experience (Tableau)
- Prior exposure to real estate, construction, workplace operations, or global food/amenities spend.
- Demonstrated experience prototyping small automations or AI agents to accelerate work.
SOFT SKILLS / COMPETENCIES
- Extremely detail-oriented and process disciplined.
- Independent problem solver who can escalate appropriately.
- Strong prioritization and time management under competing deadlines.
- Curious and technology-forward — comfortable testing small automation/agent ideas.
- Partnership-first: builds rapport quickly and communicates clearly with non-finance stakeholders.
Location: US - Remote - Illinois, US - Hybrid - Massachusetts - Boston, US - Remote - North Carolina, US - Remote - New York, US - Remote - Texas , US - Headquarters - Maryland - Columbia
Who is Tenable?
Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc
Your Role:
The Senior Manager, Services Architecture & Education leads the Portfolio Architects within the Global Services Portfolio, serving as the strategic link that converts overarching portfolio strategy into technically credible consulting services and end-to-end Education programs. Carrying a dual mandate, this role is accountable for leading an experienced team of technical experts through an evolving operating model while acting as the authoritative technical design voice across the entire Global Services suite.
This position owns service design, Education strategy, offering creation, the On-Demand Training (ODT) and Instructor-Led Training (ILT) curricula, and the Training Subscription model. The Senior Manager builds, standardizes, and scales the creation and maintenance engine necessary to keep all consulting offerings and educational content continually aligned with Tenable’s rapidly evolving product roadmap, feature releases, and version retirements.
Working with minimal supervision as a key member of the Services Portfolio Leadership Team, the Senior Manager sets high-bar technical and instructional standards, balances team capacity across creation, optimization, and lifecycle maintenance, and collaborates seamlessly with cross-functional leadership—including Portfolio Strategy & Innovation, Portfolio Enablement & Creative, Program Management, and PS Product Champions—to drive portfolio adoption and operational excellence.
ORGANIZATION STRUCTURE:
Reports to: Senior Director, Services Portfolio
Direct reports: Portfolio Architects (Associate Services Architects, Services Architects, and Senior Services Architects)
Your Opportunity:
Service Design & Offering Creation
Service Architecture:
Own the architecture, methodology, scope, and outcomes of consulting service offerings, and the technical requirements and validation behind them. Each offering has a named Services Architect who owns its technical design, with the Manager accountable.
Offering Creation:
Direct the creation of net-new offerings and Education against the quarterly roadmap set by Portfolio Strategy & Innovation, and lead improvements to existing services alongside the Portfolio Strategy & Innovation Lead.
Technical Substance:
Make sure the team owns the technical, service, and Education substance of its work, and that the content is accurate before it is handed to Portfolio Enablement & Creative for writing and design.
Standards & Quality:
Set and maintain service design, content, and lab standards and templates, and review the most strategic offerings before release.
Education Strategy & Training Subscription
Education Strategy:
Set the direction for Professional Services Education across on-demand (ODT), instructor-led (ILT), and hybrid delivery.
Curriculum Ownership:
Be accountable for the TRG master curriculum and the ODT and ILT source content, including review on a defined cadence and consistency between delivery formats.
Training Subscription:
Direct the priorities and evolution of the Training Subscription and track its adoption.
Education Authoring:
Ensure Architects author and maintain Education content, including in Articulate, to the standard required for technical accuracy and sound learning design. Work with Portfolio Enablement & Creative, where digital learning production needs specialist support.
Education Governance:
Work with the Education Governance Lead on standards, approvals, versioning, and controls. The Manager owns the Education strategy, and Governance owns the controls.
Portfolio Maintenance & Lifecycle
Maintenance Health:
Be accountable for overall maintenance health across services and Education. Run maintenance as a formal lifecycle (identify, triage, assign, update, validate, publish, communicate, close) carried out by named asset owners, without creating a permanent maintenance team.
Capacity Allocation:
Allocate team capacity between creating, improving, and maintaining content, and report the mix, overdue maintenance, and retirements at the quarterly portfolio review.
Roadmap Alignment:
Work with Product Management and Portfolio Strategy & Innovation to plan updates well ahead of product release, and to decide what to refresh, retire, or replace.
Feedback Loop:
Act on maintenance and improvement items routed from field feedback triage and the PS Product Champions Forum, and close the loop visibly with the field.
Team Leadership & Delivery
People Leadership:
Recruit, onboard, manage, and develop the Portfolio Architects, including performance management and career progression across the Associate, Services Architect, and Senior Services Architect levels.
Change Leadership:
Lead the team through the move to the new operating model, including the transition of long-tenured team members, and set clear expectations for the Architect role.
Capability Building:
Build team capability in service design, Education design, and delivery, and in the use of modern authoring and AI-enabled production approaches.
Delivery Oversight:
Oversee dependencies, costs, and schedules across team projects, assess risks, and take corrective action to ensure on-time, within-budget delivery.
Budget:
Manage the team’s budget and make the case for resources, tooling, and lab environments.
Protecting Creation Time:
Protect focus time for the team, including the Friday focus day, so that deep creation and maintenance work is not displaced by meetings.
Leadership & Cross-Functional Engagement
Portfolio Leadership Team:
Contribute to the weekly Portfolio Management Call, bringing creation, Education, maintenance, capacity, and the decisions required, and to the quarterly portfolio review.
Strategy & Innovation:
Work with the Portfolio Strategy & Innovation Lead on the annual and quarterly roadmap, business cases, and launch readiness, providing technical and Education input.
Enablement & Creative:
Work with the Portfolio Enablement & Creative Manager on briefs, handoffs, and review cycles to ensure creative output includes accurate technical content.
Program Management:
Work with the Portfolio Program Manager on milestones, dependencies, and launch readiness.
PS Product Champions:
Use the PS Product Champions to validate content and to maintain delivery playbooks, worksheets, and guidance, with Architects validating where needed.
Stakeholders:
Interface with leaders in Product, Customer Success, Customer Care, Sales, and Partners, including direct customer and partner engagement where needed.
Escalations:
Act as the senior escalation point for portfolio content issues that the team cannot resolve.
What You'll Need:
Experience
Security Foundations:
10+ years of overall experience in Information Security.
Vulnerability Management & Cybersecurity:
5+ years of experience in vulnerability management and broader cybersecurity operations, preferably with the Tenable product suite.
Services Experience:
7+ years of professional services, consulting, technical support, sales engineering, or technical training experience.
Education & Curriculum:
Proven experience setting Education strategy and designing and delivering technical curricula across on-demand, instructor-led, and hybrid formats, including subscription or learning platform offerings.
People Management:
3+ years of experience leading technical, content, or consulting teams, including line management and leading experienced teams through change.
Delivery Lifecycle:
Exposure to the full offering or product delivery life cycle: requirements analysis, design, testing, and implementation.
Cross-Functional Leadership:
Experience with cross-functional and cross-organisational program management, including gathering customer and stakeholder requirements.
Knowledge and Education
Education:
B.S. or M.S. degree in Computer Science or a related field preferred; equivalent experience considered.
Technical Depth:
In-depth knowledge of Windows and Linux operating systems and of TCP/IP networking, with working knowledge of web application, container, and cloud security (AWS/Azure) and ICS/SCADA systems.
Learning Design & Authoring:
Working knowledge of instructional design frameworks and of authoring tools such as Articulate, sufficient to set standards and review the team’s work.
Business Acumen:
Both business and technical acumen, including budget management and capacity planning.
Certifications:
CISSP, CISM, or PMP preferred.
And Ideally:
Communication:
Strong written and verbal communication skills, including the ability to present to executive, customer, and partner audiences.
Collaboration:
Strong interpersonal skills with the ability to influence and work effectively across teams and at a senior level.
Autonomy:
Strong initiative and the ability to work with minimal supervision, remotely and as part of a geographically distributed team, in an agile environment.
#LI-MM1
This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs.
US Pay Range
$145,000
—
$193,666.67 USD
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact
Recruiting@Tenable.com
for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you:
General Applicant Privacy Notice
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New York, New York, United States
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