Location: New York; Remote; San Francisco
Workplace: Hybrid
About Alchemy
Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences.
Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com.
About the Role
A once-in-a-generation shift is underway. Global banks, fintechs, and TradFi leaders: JPMorgan, Visa, PayPal, and more, are moving beyond pilots to launch real products on crypto rails. At the same time, the most sophisticated Web3 teams are scaling faster than ever, building the infrastructure for an entirely new financial system. Alchemy sits at the center of both worlds. The trusted infrastructure powering billions of transactions for the builders shaping the future of finance.
We’re looking for an Enterprise AE to lead our largest, most strategic partnerships at this critical inflection point. This is a chance to influence how the next decade of global finance gets built.
What You'll Do
You’ll own and grow a portfolio of high-value enterprise accounts — a mix of major financial institutions, top fintech innovators, and the most ambitious Web3 companies in the world.This is not a standard sales role. You will:
- Navigate board-level relationships and collaborate daily with Alchemy’s C-Suite and top-tier investors.
- Orchestrate multi-year, multi-stakeholder deals spanning CTOs, innovation labs, product leads, and procurement at global scale.
- Design and execute multi-threaded strategies using MEDDPICC to land and expand seven- and eight-figure partnerships.
- Serve as a trusted advisor to executives defining their blockchain strategy
- Bring market intelligence back to GTM leadership to directly influence Alchemy’s roadmap and category leadership.
What we're looking for
- 7–10+ years closing complex SaaS/infrastructure deals with $500K+ ACV.
- Track record of breaking into net-new strategic accounts and expanding them into marquee wins.
- Deep experience in financial services, fintech, or payments — paired with the curiosity and credibility to engage deeply with Web3 teams.
- Proven success with C-level, technical, and operational buyers in consultative, value-driven cycles.
- Comfort operating in fast-moving, high-stakes, category-creating markets.
Benefits and Perks
🏥 Medical, Dental, & Vision
💪 Gym Reimbursement
🖥️ Home Office Build-out Budget
🥙 In-Office Group Meals
🚅 Commuter Benefits
🌴 Flexible Time Off
🧘♂️ Wellbeing & Mental Health Perks
🧠 Learning & Development Stipend
🌎 Company Sponsored Conferences & Events
💸 HSA and FSA Plans
🧬 Fertility Benefits
Alchemy is committed to offering competitive compensation, including base salary as well as equity. Additionally, Alchemy offers comprehensive medical, dental, and vision coverage, as well as other benefits such as 401k and unlimited flexible time off.
Location: Washington, DC
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.
About the role
As a Federal Civilian Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies. You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance.
Responsibilities:
Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment
Navigate the unique requirements of federal civilian procurement, including FAR compliance, security standards, and agency-specific regulations
Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation
Develop and execute strategic account plans that align with agency missions and modernization initiatives
Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration
Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements
Create and maintain sales playbooks specific to federal civilian use cases and procurement processes
Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts
Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements
You may be a good fit if you have:
8+ years of enterprise sales experience in the federal civilian space, with a proven track record of driving adoption of emerging technologies
A deep understanding of federal civilian agency missions, challenges, and technology needs
Demonstrated the ability to balance strategic leadership with hands-on sales execution
Experience navigating complex federal procurement processes and compliance requirements
A strong track record of exceeding revenue targets in the federal civilian space
Extensive experience with federal civilian contracting vehicles and procurement mechanisms
Excellent relationship-building skills across all levels, from technical teams to senior agency leadership
A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators
Strategic thinking combined with attention to detail in execution
A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
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: Espoo; Warsaw
Workplace: Hybrid
- Senior System Engineer (Ground Systems Hardware)
- Location: Espoo, Finland / Warsaw, Poland
- Department: Platform & Release Engineering
- Reports to: Platform & Release Engineering Lead
- Employment type: Permanent
- Workplace model: Hybrid / Office
- Employment is subject to applicable security screening (incl. SUPO)
WHY THIS ROLE MATTERS:
As a Senior System Engineer (Ground Systems Hardware), you’ll design and validate mission-critical ground hardware systems that enable ICEYE’s satellite operations, ensuring performance, reliability, and scalability across demanding environments.
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Design, integrate, and validate ground hardware systems at system level
- Define and maintain hardware specifications, interfaces, and performance requirements
- Conduct system modeling and identify design gaps and improvement opportunities
- Own validation and acceptance testing, including test plans, setups, and final sign-off
- Collaborate with product, systems, manufacturing, and operations teams to align designs with requirements
- Ensure documentation accuracy, configuration control, and version management
- Apply expertise in compute, power, and environmental systems to ensure reliability in operations
- Drive continuous improvement of integration and testing processes
WHAT WE’RE LOOKING FOR
MUST HAVES:
- 5 to 8+ years of experience in systems engineering for hardware-based products
- Strong experience with virtualization technologies such as VMware, including vSAN and HCI
- Strong networking knowledge including switches, VLANs, routing, and firewalls
- Experience with storage systems such as Cloudian or Dell, including object storage concepts
- Experience with server hardware platforms and rack-level design considerations
- Strong background in hardware integration, validation, and environmental testing
- Experience defining and managing technical specifications and system interfaces
- Strong documentation, configuration management, and communication skills in English
Nice to haves:
- Experience with edge compute platforms and on-premise deployments
- Familiarity with ruggedized hardware and environmental compliance testing
- Experience with system modeling tools or requirements management systems
- Understanding of ground systems, mission operations, or ISR architectures
- Experience in satellite, earth observation, or defense systems
APPLICATION PROCESS
- Recruiter screening
- Hiring manager interview
- Technical task
- Technical panel interview
- Final 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.
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 and we will 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: San Francisco, CA | New York City, NY
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.
About the role:
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success
Support customers building with the Claude API, Claude Code, and Claude for Enterprise
Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend
Build reusable blueprints, demos, and enablement assets that scale across customers
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience
A builder identity. You've shipped real software, you have technical taste, and you care about the craft of what you build
A systems mindset. When you see a problem, your instinct is to ask "how do I make this reusable." You'd rather build one thing that serves ten customers than ten things that serve one each
Strong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected
Strong ability to build trust with technical stakeholders and adjust your communication for varied audiences
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools, or a background in machine learning or data science
Comfort operating in early-stage, ambiguous environments where the playbook doesn't exist yet, and a track record of building structure as you go
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000
—
$315,000 USD
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: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Operator, Global Security Operations Center (GSOC).
About the job
This position is needed to maintain a broad situational awareness over internal and external physical events that could impact employee safety or pose a threat to business assets or operations across Twilio’s global footprint. GSOC Operators monitor a variety of data sources including internal access control systems, external incident aggregators, travel safety applications, and general open source reporting materials. GSOC Operators serve as the primary contact for employees with physical safety and security questions or concerns. When an incident occurs, the GSOC Operator may dispatch security resources, escalate to crisis management teams, send broad communications to Twilio employees, or execute a mass notification to account for employee safety.
Responsibilities:
In this role, you’ll:
Monitoring and Surveillance
Utilize various physical security asset monitoring and surveillance systems to detect potential unauthorized access, suspicious activity, or other security incidents
Monitor open-source threat intelligence and other internal SaaS tools to maintain situational awareness of persistent or emergency global events with potential or direct impact to operations
Security Operations Support
Support access control and visitor management processes
Manage security-related calls for service and provide general guidance to employees, vendors, and guests
Maintain awareness of business travelers and personnel accessing Twilio facilities
Partner with local site security teams to escalate and dispatch resources for incident and alarm response
Review travel requests to elevated risk locations, assist travelers through the approval process, and cross-reference live itineraries with external incidents
Incident Management
Perform the first point of incident intake across a variety of emergencies, including medical emergencies, natural disasters, fire/evacuation, travel disruptions, and security incidents
Assess and triage events and incidents to determine their impact to operations
Dispatch and coordinate response with emergency response personnel
Communicate effectively on emerging incidents to large audiences to share situational awareness or tactical updates as warranted
Maintain real-time incident documentation for reporting and analysis
Perform Life-Safety checks for Twilio in areas impacted by potentially life-threatening conditions
Participate in post-incident reviews to document and implement corrective action and improvements to future response
Operational Excellence
Maintain a strong understanding of security and emergency standard operating procedures
Utilize critical thinking and problem solving skills to analyse situations and implement solutions
Support large projects that will improve Twilio’s GSOC capabilities and initiatives
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
3+ years of experience in a GSOC working environment
Experience with physical safety and security technology, systems (ACS, IDS, VSS, VMS), travel safety, and mass notification tools
Experience with open-source intelligence (OSINT) research tools
Strong critical thinking and problem-solving skills
Proven ability to follow standard operating procedures and playbooks
Ability to prioritize tasks in a fast-paced environment
Ability to stay calm, professional, and think clearly in high-stress situations
Ability to communicate clearly and concisely; verbal and written
Ability to work ‘non-standard’ shift hours, to overlap as needed with colleagues and stakeholders in other global locations, including weekend and holiday hours
English Language Proficiency
Desired:
Customer service mindset
Comfortable with a high-tech work environment
Eager to learn new tools and processes
Ability to work independently and as part of a team
Proficiency in Google Suite
Additional Language Proficiency
Shift Details:
Variable (8–10-hour shifts)
Must be flexible to work holidays, weekends, and occasional overtime.
Location
This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 10% travel is anticipated to help you participate in project or team in-person meetings to help you connect in a meaningful way.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $26.27 - $32.84
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $27.77 - $34.71
Based in the San Francisco Bay area, California: $30.85 - $38.56
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Applications for this role are intended to be accepted until December 21st, 2026, but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: US, Boston, MA
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 Mechanical Design Engineer on the Core Platform team, you’ll play a key part in turning ambitious, open-ended ideas into high-performing, real-world robotics solutions. Your work will span hands-on design, collaborative prototyping, and technical validation, driving innovation in mechanisms, and structures. You’ll develop detailed CAD models and documentation, ensure manufacturability and safety, and work closely with cross-disciplinary teams and vendors—all while adapting to rapidly evolving project needs. This is an opportunity for creative engineers who thrive on solving complex problems and shaping the future of robotic design.
WHAT YOU’LL DO
- Interpret Open-Ended Design Requirements: Help transform broad project requirements into detailed, pragmatic design specifications for new systems and components.
- Collaborate Across Disciplines: Work with engineers from various disciplines to brainstorm, design, and develop prototype robots that meet challenging performance targets.
- Innovate with Mechanisms and Structures: Design and refine innovative mechanisms, interfaces, and structures that elevate robot performance, from energy-absorbing crash protection to ergonomic robot coverings.
- CAD Design & Documentation: Create and manage CAD models, engineering drawings, assembly documentation, and test plans for parts and assemblies.
- Analysis and Validation: Perform necessary analyses on new designs, validate them through bench tests, and ensure that they meet all performance, safety, and manufacturability standards.
- Troubleshoot and Implement Solutions: Identify and resolve design issues by determining root causes and implementing effective corrective and preventative measures.
- Vendor Management: Collaborate with external vendors for components and assemblies that require outsourcing, ensuring that third-party designs meet Humanoid’s stringent requirements.
- Adapt to Changing Needs: Stay flexible and responsive to changing project requirements while maintaining a team-first, collaborative mindset.
WHAT WE'RE LOOKING FOR
- BSME with 5+ years of relevant experience
- Experience designing high‑performance mechanical structures, motion mechanisms, and integrated systems, ideally in robotics or comparable high‑precision fields.
- Advanced proficiency in CAD software (NX, SolidWorks, Creo etc.) with experience in FEA and topology optimization. We use Siemens NX.
- Strong understanding of ASME drafting standards, including GD&T (Y14.5-2018).
- Experience transitioning designs from early concepts (NPI, EVT, DVT) to production.
- Familiarity with production processes such as casting, sheet metal, stamping, hydroforming, composites, and compliant energy-absorbing structures.
- Experience designing lightweight, high-performance structures, compliant mechanisms, and flexible energy-absorbing designs.
- Creative and collaborative thinking with a team-first mentality.
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 a 4% 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 Massachusetts, the expected base salary range is $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: US, Boston, MA
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 Platform Software Engineer at Humanoid, you will be at the heart of developing the core OS, data networks and protocols, and fundamental software subsystems for our next-generation humanoid robots. You will help develop the foundational software architectures that allow high fidelity robotic controls and AI development. You will be responsible for writing high-integrity software that runs on our robots, integrating sensors, safety systems, and computing platforms to enable safe human-robot collaboration.
In this role, you will have the opportunity to take full ownership of new systems and directly contribute to the development of our future products. If you are interested in complex embedded software projects, thrive in a fast-paced, collaborative environment, and want to make a real impact on the future of human-robot interaction, we want you on our team!
WHAT YOU’LL DO
- Design & Create Embedded Software: Develop and validate embedded software that ensures our robots can operate at scale in the real world.
- Hardware & Software Integration: Work at the intersection of hardware and software to integrate various robotic components (e.g., sensors, actuators, computing platforms) into a cohesive, fault-tolerant system.
- Lead Cross-Functional Projects: Lead interdisciplinary projects that involve robotic perception, computing subsystems, and software integration, collaborating with engineers across multiple domains.
- Test & Evaluate Systems: Integrate new systems with our robots to test, validate, and ensure that they meet safety requirements and perform reliably in real-world conditions.
- Build Infrastructure for Innovation: Contribute to the development of tools, infrastructure, and operational practices within a small, agile R&D team focused on unlocking new capabilities for Humanoid robots.
- Drive Safety in Robotics: Be part of a team working at the cutting edge of technology to improve the safety and performance of robots operating in real-world, human-centric environments.
- Collaborate Across Teams: Work closely with electrical engineers, software developers, robotics control experts, physical AI developers, and other team members to integrate software systems with robotics hardware, ensuring seamless operation and performance.
WHAT WE'RE LOOKING FOR
- 5+ years of experience developing and deploying production software in embedded systems running Linux (C++, C, Rust, Python, Go).
- Experience developing time-sensitive, performance-critical applications.
- Thorough understanding of Ethernet and IP networking and higher-level protocols like HTTP or gRPC.
- Experience with Linux build environments like Yocto or Buildroot.
- Experience in building Linux kernels and modifying or writing device drivers.
- Experience with NVIDIA’s Jetson platform is a plus.
- Experience working with sensor data, including cameras, lidars, radars, and IMUs is a plus.
- Strong communication skills, with the ability to write clear technical documentation and deliver presentations on complex topics.
- Proven history of leading cross-functional technical projects, including developing technical requirements and driving collaboration across teams.
- Experience working in small, agile teams with fast iteration cycles and interdisciplinary collaboration.
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 Massachusetts, the expected base salary range is $180K–$250K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: New York City
Workplace: OnSite
ABOUT PEEC AI
Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win.
We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office.
ABOUT THE ROLE
We are hiring a Senior Account Executive in New York to own our largest and most complex deals across North America. You will sell to SEO, marketing, and growth leaders at enterprise and agency accounts, run the full cycle from first conversation to close, and set the standard for how the US team sells.
This is a senior seat in a young office. You will work side by side with the founding NYC team, and you will have a real say in how we build the US go-to-market: the playbook, the positioning, and the bar we hold ourselves to. If you want to be the rep others learn the motion from, this is that role.
WHAT YOU'LL DO
- Source and close new business across North America, owning the full cycle from discovery and demo through negotiation and close
- Build your own pipeline into strategic accounts, and partner with SDRs and Marketing on targeted outbound across your patch
- Multi-thread across senior stakeholders and build the business case that gets a new category onto a budget
- Keep your CRM clean and your forecast honest, with a strong handle on deal progress
- Build lasting relationships with your customers and spot expansion opportunities as their AI search programs grow
- Set the bar for the AEs around you: share what works, help shape the playbook, and raise the quality of the whole team's selling
- Feed what you learn on calls back into product, marketing, and the sales playbook. At this stage, your input shapes how we sell.
WHAT WE'RE LOOKING FOR
- 5+ years of experience in a quota-carrying software sales role
- A consistent track record of overachievement against a quota of $1M+, sustained across multiple years rather than one strong run
- Experience closing complex, multi-stakeholder deals end to end, including negotiation and procurement
- A builder of your own pipeline: you can point to closed deals that started with your own prospecting
- Sharp communication and a natural ability to tell the story of a new category simply
- Comfortable being the senior voice in a young team, and willing to set the standard rather than wait for one
BONUS POINTS
- Repeatedly achieving President's Club
- Experience as an early sales hire in a high-growth, venture-backed startup
- Experience selling SEO, analytics, or martech software
- Interest in growing into a team leadership position as the US office scales
- You already know what GEO and AEO stand for.
WHAT WE OFFER
- Transparent comp with a 50/50 base to variable split, plus equity
- Comprehensive benefits package
- Collaborative, high-energy in-office work environment
- Opportunity to make a significant impact and define a new market category
EEOC STATEMENT
Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law.
COMPENSATION
The base salary range for this position is $142,000 to $162,500 annually with anticipated on-target earnings being $284,000-$325,000. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.
Location: UK, London
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
We're hiring a strong Robotics Learning Engineer to join our Manipulation team based in London.
In this role, you will work on teaching our robots to manipulate the world around them.
This is a role at the intersection of applied deep learning and robotics, and to be set up for success you need both experience of working with real robot hardware (e.g. identifying issues in control or teleop), and applied deep learning (you don’t have to be an expert on cutting edge neural network techniques, but you should be perfectly capable of curating data, fine-tuning a policy on that data and hypothesising potential mitigations when something doesn’t work).
WHAT YOU’LL DO
- Post-train manipulation policies via behaviour cloning and RL; own the full loop from data to deployment.
- Come up with data preprocessing strategies to improve the quality of collected data.
- Work with the simulation team to set up RL training using digital twin, and then iterate on reward and simulation quality to ensure successful transfer to the real world.
- Partner with the data collection organization to drive data collection activities for a specific capability: specify what good data looks like, ensure diversity and coverage, and iterate on instructions.
- Expand observation and action spaces with new components required to support novel capabilities, and work with the Teleoperations team to expose these components to robot operators.
- Partner with Teleoperations and Controls teams to improve motion smoothness and teleoperation experience.
- Interface with hardware design team to ensure that manipulation team findings regarding the current generation of hardware are reflected in future designs.
WHAT WE'RE LOOKING FOR
- 3+ years working on robots (industry or research) with shipped artifacts to show for it. A good understanding of modern teleoperation and low-level control stack.
- Experience with neural network post-training.
- Familiarity with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training, PyTorch or JAX. Ability to profile & debug numerics and write maintainable research code.
- Good familiarity with modern software engineering practices.
- Ability to document experiments clearly and communicate trade‑offs crisply.
Nice to have:
- Experience training VLA models for manipulation (autoregressive, diffusion or flow-matching based). Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks.
- Experience applying RL to robotics problems.
- Publications at top-tier robotics or deep learning conferences or equivalent open‑source contributions.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: UK, London
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
We're hiring a Senior Simulation Engineer to join our VLA team based in London.
In this role, you will build and maintain simulation environments for dexterous manipulation tasks across industrial, service, and home domains. This is primarily a simulation and reinforcement learning-focused role, so we are looking for experience creating realistic physics-based environments and training RL policies, while experience in robotics isn't strictly required. However, if you don't have such experience, be prepared that you'd need to familiarize yourself with a new domain quickly.
WHAT YOU’LL DO
- Design and implement gym environments for manipulation tasks spanning industrial, service, and home settings, defining appropriate observation spaces, action spaces, and reward functions.
- Analyze and address reward hacking - identify cases where learned policies exploit reward misspecification and iterate on reward design to produce robust behaviors.
- Analyze and reduce the sim-to-real gap by tuning physics parameters, improving asset fidelity, and validating simulation behavior against real-world data.
- Work with third-party vendors to procure, validate, and integrate high-quality 3D assets (objects, fixtures, environments) suitable for physics-based simulation.
- Ensure correct physics setup - contact dynamics, friction, mass properties, joint limits - so that trained policies transfer reliably to hardware.
- Identify and reduce simulation bottlenecks to maximize training throughput and environment step rates.
- Improve our simulation-based evaluation and reinforcement learning infrastructure to support rapid iteration and scaling.
WHAT WE'RE LOOKING FOR
- 3+ years building simulation environments or game-engine-based interactive systems (industry or research) with shipped products, published results, or equivalent artifacts to show for it.
- Deep hands-on experience with at least one physics simulator (Isaac Sim/IsaacLab, MuJoCo, PyBullet, Drake) or equivalent game engine experience (Unreal, Unity) with a focus on physically accurate interactions.
- Strong practical experience running large-scale parallel simulation on GPU clusters and good familiarity with modern GPU-accelerated simulation infrastructure.
- Strong Python; you can profile bottlenecks, debug physics issues, 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 manipulation-specific experience (grasping, contact-rich tasks, deformable objects).
- Experience designing reward functions and training RL policies in simulated environments; solid understanding of common failure modes (reward hacking, distribution shift, sim-to-real gap).
- Experience with NVIDIA Isaac Sim & IsaacLab specifically.
- Experience with domain randomization, system identification, or other sim-to-real transfer techniques.
- Publications at top-tier robotics or RL conferences or equivalent open-source contributions.
- Familiarity with robocasa, robosuite or similar open-source manipulation simulation frameworks.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products.
Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month.
You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.
We’re particularly interested in engineers who have:
A track record of working on
model training
or
model inference at scale
, or on
low‑level GPU coding
(e.g. CUDA, Triton). Experience with one is great, multiple is even better.
What will I be doing?
As a Senior AI Infrastructure Engineer focused on model training and inference, you will:
Implement and scale
training pipelines
for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
Build and optimize
inference services
that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
Work on
GPU‑level performance
: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
Play an active role in
hiring, mentoring, and developing
other engineers on the team.
Raise the bar for
technical standards, reliability, and operational excellence
across Fin's AI platform.
Profile we’re looking for:
These are indicative, not hard requirements
We’re looking to hire
Senior+ AI Infrastructure Engineers
. You’re likely a great fit if:
You have
5+ years of experience in software engineering
, with a strong track record of shipping high‑quality products or platforms.
You hold a
degree in Computer Science, Computer Engineering, or a related field
(or you have equivalent experience with very strong fundamentals).
You have hands‑on experience with
one or more
of the following:
Model training
(especially transformers and LLMs).
Model inference
at scale (again, especially transformers and LLMs).
Low‑level GPU work
, such as writing
CUDA
or
Triton
kernels.
Comfortable working in production environments at
meaningful scale
(traffic, data, or organizational).
You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
You take pride in strong
technical fundamentals
, love learning, and are willing to invest in your own development.
Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.
Bonus skills & attributes
None of these are required, but they’re nice to have:
Experience at
AI native companies
that
train and/or run inference for their own models
(e.g. modern AI labs or AI‑native product companies).
Experience running training or inference workloads on
Kubernetes
.
Experience with
AWS
or other major cloud providers.
Production experience with
Python
in ML or infrastructure contexts.
Demonstrated
passion for technology
through personal projects, open source, meetups, or publishing content about your work and learnings
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Dublin, Ireland
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products.
Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month.
You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.
We’re particularly interested in engineers who have:
A track record of working on
model training
or
model inference at scale
, or on
low‑level GPU coding
(e.g. CUDA, Triton). Experience with one is great, multiple is even better.
What will I be doing?
As a Senior AI Infrastructure Engineer focused on model training and inference, you will:
Implement and scale
training pipelines
for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
Build and optimize
inference services
that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
Work on
GPU‑level performance
: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
Play an active role in
hiring, mentoring, and developing
other engineers on the team.
Raise the bar for
technical standards, reliability, and operational excellence
across Fin's AI platform.
Profile we’re looking for:
These are indicative, not hard requirements
We’re looking to hire
Senior+ AI Infrastructure Engineers
. You’re likely a great fit if:
You have
5+ years of experience in software engineering
, with a strong track record of shipping high‑quality products or platforms.
You hold a
degree in Computer Science, Computer Engineering, or a related field
(or you have equivalent experience with very strong fundamentals).
You have hands‑on experience with
one or more
of the following:
Model training
(especially transformers and LLMs).
Model inference
at scale (again, especially transformers and LLMs).
Low‑level GPU work
, such as writing
CUDA
or
Triton
kernels.
Comfortable working in production environments at
meaningful scale
(traffic, data, or organizational).
You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers.
You take pride in strong
technical fundamentals
, love learning, and are willing to invest in your own development.
Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly.
Bonus skills & attributes
None of these are required, but they’re nice to have:
Experience at
AI native companies
that
train and/or run inference for their own models
(e.g. modern AI labs or AI‑native product companies).
Experience running training or inference workloads on
Kubernetes
.
Experience with
AWS
or other major cloud providers.
Production experience with
Python
in ML or infrastructure contexts.
Demonstrated
passion for technology
through personal projects, open source, meetups, or publishing content about your work and learnings
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Open to hiring remote across the US — preferable to have someone near an office in NYC or San Francisco.
This is a rare PM role with true vertical ownership across the full product lifecycle; from early-stage research and pre-training through to post-training and UX buildout through to GTM strategy and pricing - giving the right person a GM-like mandate to drive product decisions end-to-end in a way that's unique for a company of our scale.
We’re looking for a passionate Product Manager to help us develop cutting-edge AI tools. This role is for someone who has a combination of strong technical or ML background and experience in product management. You have the ability to take the state-of-the-art AI systems our research team builds and turn them into impactful tools for our customers.
You’ll deeply understand what users want, what’s possible to build, and what’s strategic for our business. You’ll be a bridge between our users and our internal teams so we ship products that have the most value for Runway’s creators.
This role is a fundamental and critical part of the team for a market-defining company in its early stages.
WHAT YOU’LL DO
- Work alongside our research team to define new AI applications that solve customer needs and drive business value
- Collaborate closely with engineering and design to productize research and continuously improve existing tools
- Define and analyze metrics, talk with users weekly, and conduct A/B tests to discover use cases, validate pain points, and prioritize features
WHAT YOU’LL NEED
- 1+ years of direct experience with SQL, python, code generation tools, and version control best practices
- 4+ years of product management experience
- Familiarity with the current state-of-the-art ML capabilities and ML products
- Experience working with fast-moving teams and building products from scratch
- Passion for seeing research through from initial conception to ultimate application
- Excellent written and verbal communication skills
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Hybrid - San Francisco, New York City
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
Vercel is seeking a
Startup Program Lead
to build, lead, and scale our global startup program and startup program team. This individual will own the startup program end to end, leading strategy, execution, and team operations. They will be responsible for how the program operates, scales, and delivers a high-quality experience for early-stage founders. They will also play a critical role in supporting our efforts to build strong partnerships with venture capital firms, accelerators, incubators, and startup enablement programs. You’ll work closely with our Startup marketing, sales, partner, and events teams to grow Vercel’s footprint across early-stage technology communities and identify strategic opportunities to support startup founders.
This role is ideal for someone who is deeply connected to the startup and VC community, has a strong understanding of developer-first products, and a track record of building and scaling programs.
What you’ll do
Own and lead Vercel’s global startup program strategy, roadmap, and execution end to end, focused on early-stage startups from pre-seed through Series A.
Build, manage, and mentor a high-performing startup program team.
Design and scale programs that drive adoption, activation, and ongoing engagement of startups building on Vercel, like the
Vercel AI Accelerator
.
Develop and grow relationships with venture capital firms, accelerators, incubators, and founder communities to bring high-quality startups into Vercel’s ecosystem as customers from day one.
Partner closely with Sales to identify high-potential startups within the program and support their progression into long term, successful customers.
Establish clear pathways from early-stage adoption to deeper product usage, expansion, and retention, and track performance across the startup lifecycle.
Work cross-functionally with Marketing, Vercel Media, Partnerships, and Developer Relations to integrate the startup program into campaigns, content, and ecosystem distribution.
Identify opportunities to embed Vercel into the early-stage ecosystem, including VC platforms, accelerator programs, and founder experiences.
Serve as a visible leader and ambassador for Vercel in the startup ecosystem by hosting events, advising founders, and building long term relationships.
Bring insights from early-stage founders and developers back into Vercel’s marketing, product, and go to market strategies.
What you need
6+ years of experience in programs, partnerships, or ecosystem roles, ideally within a high-growth technology or developer-focused company.
Experience building and scaling programs from 0 to 1, with clear impact on marketing, growth, or revenue.
Proven experience managing or leading teams.
Strong track record of building strategic relationships with VCs, accelerators, and early-stage companies.
Deep understanding of the startup ecosystem and the needs of founders and developer teams.
Ability to engage credibly with technical audiences across Engineering, Product, and Design, with familiarity in modern frontend technologies such as React, Next.js, Vite, Astro, and Remix.
Strong cross-functional operator who can partner effectively with Marketing, Media, Sales, Product, and Engineering.
Data-driven mindset with experience defining success metrics and optimizing programs based on performance.
Excellent communication, storytelling, and relationship-building skills.
Bonus if you
Contribute to open-source projects related to modern frontend technologies (e.g., React, Next.js, Vite, Astro, Remix, etc.)
Have existing relationships with top-tier VCs, accelerators (e.g., Y Combinator, Techstars), or founder communities.
Have built applications at scale with modern frontend technologies.
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $148,000 - $185,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: UK, London
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
We're hiring a Staff Controls Software Engineer to join our Controls team based in London.
We are seeking an experienced Staff Controls Software Engineer to lead the development, integration, and maintenance of our production-grade control software for humanoid robotic systems.
This role sits at the intersection of controls and software engineering - focused on turning advanced control strategies into robust, maintainable, and validated production systems. You’ll be responsible for ensuring that the control stack powering our robots is deterministic, safe, tested, and deployable at scale.
You bring both deep robotics control experience (10 years in robotic system development) and strong software engineering discipline — designing architectures that perform reliably in real-time environments.
WHAT YOU’LL DO
- Design and maintain modular, real-time control architectures supporting locomotion, manipulation, and teleoperation.
- Implement high-performance control loops and middleware interfaces for deterministic, safe operation.
- Industrialize algorithms, ensuring production readiness, maintainability, and performance.
- Establish clear software boundaries and interfaces between motion planning, control, and hardware layers.
- Translate research prototypes into scalable, maintainable, and testable control software.
- Apply modern software development practices (CI/CD, code reviews, testing frameworks, documentation).
- Define reliability, latency, and safety metrics and enforce them throughout the control stack.
- Lead the integration of real-time control software on embedded or Linux-based systems, ensuring consistent behavior across hardware targets.
- Develop automated testing frameworks (simulation, hardware-in-the-loop, regression, and performance testing).
- Drive release and version management of the control stack, ensuring stability across branches and deployments.
- Conduct profiling, benchmarking, and performance validation on robotic hardware.
- Define release protocols to ensure reproducibility and verifiable system behavior.
- Implement software-based fail-safes, watchdogs, and redundancy mechanisms for safety-critical control paths.
- Work closely with hardware and safety teams to ensure fault detection, graceful degradation, and safe state transitions.
- Lead by example through hands-on coding, code reviews, and system-level debugging.
- Mentor engineers on control software best practices, testing methodologies, and performance optimization.
- Contribute to the long-term control software roadmap, guiding architecture evolution and quality standards.
WHAT WE'RE LOOKING FOR
- B.S., M.S., or Ph.D. in Robotics, Control, Computer Engineering, or a related field.
- 10+ years of experience developing robotics control software for real-time systems.
- Proven expertise in C++ (modern standards) and Python for software implementation, testing, and automation.
- Strong background in control theory, robot kinematics & dynamics, and real-time control systems.
- Experience in deploying and validating control software both in simulation and on physical robotic platforms.
- Solid understanding of software architecture, version control (Git), CI/CD pipelines, and automated testing.
- Excellent debugging, profiling, and system performance optimization skills.
- Track record of shipping production-quality robotics software, not research prototypes.
- Proven experience managing software lifecycle, including release management and cross-team integration.
Nice to have:
- Experience with ROS2, real-time Linux, or RTOS environments.
- Familiarity with relevant tools and libraries like Eigen, Pinocchio, Placo, PyTorch, MuJoCo, etc.
- Familiarity with safety-critical systems, redundancy, and failover mechanisms.
- Background in whole-body control, actuator coordination, or real-time trajectory execution.
- Experience in Joint/Cartesian Impedance and force control
- Strong communication and leadership skills, with the ability to influence architecture decisions and engineering culture.
- Experience in learning-based control methods (e.g. RL, imitation learning)
WHAT WE OFFER
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
- Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.
- Equity included–we believe builders should share in what they build.
- Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks 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: UK, London
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
We are seeking a Teleoperation Control Engineer to help build the systems that let human operators safely, confidently, and precisely control advanced robots. This role sits at the intersection of robot control, real-time software, operator UX, hardware integration, and human-in-the-loop workflows.
You will develop the core teleoperation capability that enables operators to guide, recover, teach, and improve robot behavior in real time. That includes intuitive control mappings, reliable command pipelines, clear operator feedback, high-quality data capture, and safeguards for safe use around real hardware.
We are open to strong candidates from junior through staff level. The key traits are hands-on robotics ability, strong engineering judgment, care for software quality, and a product-minded instinct for making complex robot systems intuitive for operators.
WHAT YOU’LL DO
- Develop teleoperation capabilities for controlling robots across manipulation, mobility, and loco-manipulation tasks.
- Design intuitive operator experiences, including input mappings, visualizations, feedback loops, recovery flows, and workflows that reduce cognitive load and improve operator confidence.
- Integrate input devices such as VR controllers, gloves, haptic devices, motion capture systems, and custom operator stations into the robot software stack.
- Translate noisy, high-frequency human input into smooth, stable, physically feasible robot commands with predictable behavior.
- Build robust teleoperation infrastructure for real-time data streaming, calibration, replay, debugging, logging, operator training, and high-quality demonstration capture.
- Develop shared-autonomy and assistive-control features that blend human intent with robot capability to improve precision, safety, and ease of use.
- Create safe operating boundaries, limiters, alerts, emergency/recovery flows, and clear state feedback so robot operators can use teleoperation safely.
- Define and improve quality metrics for teleoperation systems, including latency, reliability, observability, operator success rate, demonstration quality, and failure modes.
- Stress-test teleoperation systems on real hardware and in simulation, then drive reliability improvements based on operator feedback and observed failures.
- Work closely with controls, manipulation, hardware, and operations teams to ensure teleoperation requirements shape robot design and field workflows.
WHAT WE'RE LOOKING FOR
- Strong robotics fundamentals, including kinematics, coordinate frames, control interfaces, state estimation basics, and real-time system behavior.
- Experience building a subset of the following: teleoperation systems, operator UIs, shared-autonomy tools, human-robot interfaces, or robot learning data-collection pipelines.
- Ability to write reliable software in C++ and/or Python, with experience in ROS/ROS2, real-time data streaming, or robotic middleware.
- Good intuition for human-in-the-loop systems: how operators perceive robot state, issue commands, recover from errors, and build trust.
- A quality mindset: clean abstractions, testing, logging, observability, performance tuning, and tools that remain usable under pressure.
- Strong debugging skills across the stack, from operator input devices to robot motion, sensors, networking, and hardware behavior.
- Comfort iterating quickly on real robots, learning from operator feedback, and turning prototypes into robust capabilities.
- Clear communication and collaboration with cross-functional teams.
Nice to have:
- Hands-on experience building or debugging software for real robotic hardware, ideally in manipulation, mobile manipulation, humanoids, or dexterous systems.
- Experience designing safe workflows for hardware-facing systems where latency, instability, poor feedback, or misuse can create operational risk.
- Experience collecting high-quality demonstrations for imitation learning, behavior cloning, or other robot learning workflows.
- Exposure to intent inference, haptics, force feedback, motion capture, VR/AR interfaces, or custom control devices.
- A product-minded approach to robotics: caring not only that the robot moves, but that control is intuitive, safe, reliable, and pleasant for operators to use.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ days time off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: US, Boston, MA
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
We design robots in simulation before building them in hardware.
As a Robotics Simulation & RL Engineer, you will help design and validate future generations of our robotic platforms - including bipedal and wheeled systems - using physics simulation and reinforcement learning.
You will develop tools to determine whether a robot design can perform real-world tasks before committing to hardware. Your work will directly inform robot architecture, actuator selection, sensor placement, and control strategies.
A key responsibility of this role is owning and validating the canonical robot models (URDF and simulation assets) used across simulation and control stacks.
WHAT YOU’LL DO
- Design and evaluate new robot platforms using physics simulation
- Analyze robot capabilities including workspace, manipulability, dynamic balance, and torque limits
- Use reinforcement learning to stress-test robot designs and explore capability limits
- Own and maintain URDF models of current and future robot platforms
- Maintain the CAD → URDF → simulation pipeline
- Develop tools and benchmarks to evaluate locomotion, manipulation, and platform robustness
- Provide quantitative feedback to hardware teams on actuator sizing, joint placement, mass distribution, and sensor layout
- Collaborate with mechanical, control, and perception teams to guide platform design decisions
WHAT WE'RE LOOKING FOR
- M.Sc http://M.Sc. or Ph.D. in Robotics, Mechanical Engineering, Control, or a related field
- Strong foundation in robot kinematics and dynamics
- Experience with robot simulation environments (MuJoCo, Isaac Sim, Gazebo, or similar)
- Experience with reinforcement learning in robotics or physics-based simulation
- Experience working with URDF or similar robot description formats
- Strong programming skills in Python and/or C++
- Experience training RL locomotion or manipulation policies
Nice to have:
- Experience with legged, humanoid, or wheeled robots;
- Experience with whole-body control or torque-controlled robots;
- Experience with simulation-driven hardware design;
- Experience building large-scale RL training pipelines.
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 a 4% 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 Massachusetts, the target base salary range is $200K–$300K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
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ГибридseniorEspoo; Warsaw
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