Location: United Kingdom
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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ABOUT THE ROLE
Docker’s Professional Services team partners with customers to turn AI and cloud-native deployments into working production outcomes.
We are looking for a technically fluent Delivery Program Manager to operate delivery engagements. You will be embedded as an overlay alongside technical sales, solution architects, forward deployed engineers, and delivery partners, translating customers’ technical and business requirements into scoped service engagements and managing them through delivery.
You will be both builder and operator: designing repeatable service offerings where none exist today, and equally willing to roll up your sleeves to scope a detailed Statement of Work or unblock a stuck engagement. If you thrive in ambiguity, love building order from chaos, and operate with high autonomy and low ego, this role is for you.
WHAT YOU'LL OWN
DELIVERY OPERATIONS
- Operationalize the end-to-end engagement lifecycle, from scoping and kickoff through delivery, handoff, and retrospectives.
- Directly manage customer engagements: plan, run governance cadences, track milestones, manage risks and dependencies, and escalations.
- Review technical assumptions in scopes and SOWs with solution architects (environments, integrations, identity, network and security constraints, customer prerequisites) so estimates and timelines hold up in delivery.
- Own customer readiness and handoff: environment prerequisites, acceptance criteria, and clean transition to Support and Technical Account Managers.
OFFERINGS AND REUSABLE ASSETS
- Partner with solution architects to create reusable delivery assets: playbooks, runbooks, statement of work templates, reference architectures, and onboarding workshops/guides.
- Turn repeatable customer patterns into packaged, fixed-scope offerings with defined outcomes, durations and pricing inputs.
- Build and maintain the sales-cycle engagement model and intake process for when and how Services are engaged across sales stages.
GOVERNANCE, TOOLING, AND METRICS
- Build the program management and governance infrastructure: intake frameworks, capacity planning models, risk registers, delivery dashboards, and milestone tracking.
- Define and report delivery KPIs: on-time delivery, utilization, engagement margin, customer satisfaction.
- Own SOW amendment and change-order processes: define when and how scope changes are documented, approved, and reflected in project tracking.
- Partner with Legal on SOW frameworks and language.
WHAT WE'RE LOOKING FOR
REQUIRED QUALIFICATIONS
- 8+ years of experience in technical program management, professional services, forward deployed engineering services or equivalent cross-functional roles.
- Experience at a B2B SaaS, developer tooling, or infrastructure software company delivering implementation, migration, or adoption engagements to enterprise customers.
- Demonstrated experience building programs, processes, or practices from scratch not just optimizing existing ones.
- Strong technical fluency: comfortable participating in systems architecture discussions, understanding system dependencies.
- Strong structured problem solving, facilitation, and systems thinking, including participation in
- Experience with Professional Services tooling and business systems (e.g., Salesforce, NetSuite, PSA tools)
- Exceptional written and verbal communicator able to produce executive-grade program readouts and customer-facing documentation alike.
- High degree of personal accountability; comfortable owning ambiguous problems with limited oversight and providing value-added improvements.
Preferred Qualifications
- Professional services, consulting, or delivery experience at an infrastructure software vendor or systems integrator.
- Experience self-serving data and analytics (Looker, Tableau, or similar) to build performance reporting.
- Prior experience scaling a Professional Services or delivery organization or a support services operation through a growth or transformation phase.
- Experience building engagements with third-party partners and system integrators within professional services delivery models.
WHY THIS ROLE
Building a PS function from the ground up is rare. This is an opportunity to shape how Docker serves its most strategic customers, define what great looks like for technical delivery, and leave a lasting operational footprint on a high-growth organization. You will have broad scope, executive access, and the room to build something that matters.
What to Expect in the First 30 Days
- Shadow: join scoping calls and review active projects.
- Audit the existing SOW process and template library to identify gaps in standardization, approval routing, and tracking.
- Meet your key partners: Sales Engineers, Solution Architects, Forward Deployed Engineers, Technical Account Managers, Finance and Legal.
What to Expect in the First 60 Days
- Manage first customer engagement directly, with support from the existing team.
- Identify the highest-priority SOW template gaps for standardization.
- Document the current delivery framework as it exists today capturing what's working, and what needs to change.
What to Expect in the First 60 Days
- Autonomously managing customer engagements.
- Support leadership with quarterly review cycles on active engagements and retrospectives.
- Translate process gaps into actionable workstreams with clear owners, timelines, and accountability.
Docker does not offer visa sponsorship for this role.
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POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
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PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Remote - Brazil
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 Principal Presales Engineer, Product Specialist.
About the job
This position is needed to partner closely with sales, solutions engineering, and enterprise strategists to consult on complex, multi-product opportunities. You will scope, design, and validate how complex multi-product solutions fit into the client’s ecosystem and help paint the long-term Twilio vision for our customers. You will be a critical partner cross-functionally, working with product, engineering, and marketing to identify and share technology patterns and shifts from our clients (and prospects) to influence product strategy.
Responsibilities
In this role, you’ll:
Develop your expertise of the Twilio platform, use cases and buyer personas, while keeping up with industry trends in Voice + AI
Scope, design, and build multi-product solution architecture and compelling presentations to secure the Technical Win
Support core sales and solutions engineering team members on value-selling strategies and complex solution sales
Design and validate scalable, secure, multi-product messaging architectures aligned to customer ecosystems and long-term Twilio adoption.
Partner with Sales, Solutions Engineers, and Enterprise Strategists to drive technical validation and secure the technical win in complex sales cycles.
Document recent patterns and technology shifts with our clients and prospects to influence Product and R&D strategy and roadmap via GTM interlock and PDLC processes
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:
Hands-on experience designing and validating Conversational AI or LLM-driven architectures (e.g., integrating OpenAI, Dialogflow, or similar models via APIs).
Experience leading pre-sales or solution architecture engagements, including scoping, design, and technical validation in both Portuguese and English language.
Strong background in API-based, event-driven systems, with hands-on experience using REST APIs and webhooks.
Working knowledge of at least one backend language such as Node.js or Python, with prior software development or equivalent experience.
Demonstrated expertise in messaging platforms, including throughput management, retry strategies, and deliverability optimization.
Ability to communicate complex technical concepts clearly to technical and executive audiences.
Strong collaboration and influencing skills across sales, engineering, and product stakeholders.
Desired:
Experience working in an overlay or specialist pre-sales capacity.
Experience collaborating with Product on roadmap or positioning.
Prior exposure to Twilio products or other CPaaS platforms.
Business-level proficiency in Spanish.
Location
This role will be remote, and based in Brazil.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person 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.
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: Boston, MA
Workplace: OnSite
SOFTWARE ENGINEERING MANAGER (HARDWARE ACCELERATE)
At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives.
WHOOP is seeking an Engineering Manager to lead a team within the Hardware Accelerate team, which builds the software platform that enables and enhances hardware and embedded development. This team’s work is critical to delivering robust systems that streamline internal workflows and empower engineers to focus on breakthroughs in product and hardware.
In this role, you will have both technical and people management responsibilities. On the technical side, you’ll work closely with embedded engineering teams and internal stakeholders to refine requirements and scope scalable solutions. You’ll support the team in shaping technical designs, architecture, and operational best practices, helping maintain high standards for reliability, flexibility, security, and user sentiment. On the people side, you’ll lead and mentor a team of hardware-oriented software engineers by providing regular feedback and fostering professional growth. You’ll be instrumental in promoting a positive, high-performance culture grounded in innovation, teamwork, psychological safety, and continuous learning.
RESPONSIBILITIES
- Lead and manage a team of engineers responsible for building platforms that integrate with embedded and hardware systems and initiatives
- Define technical strategy, architecture, and design for features that support those hardware development-focused initiatives
- Partner with cross-functional leaders to understand embedded and hardware development needs and translate them into scalable systems
- Maintain engineering best practices in development, testing, and deployment processes
- Serve as a player-coach by contributing technically while driving team delivery and growth
- Provide regular mentorship, feedback, and coaching to team members to support their professional development and growth
- Foster a culture of innovation, psychological safety, collaboration, and continuous learning
QUALIFICATIONS
- Experience as a hands-on software developer combined with a proven track record in engineering management
- Strong technical skills in software development, testing, and deployment
- Demonstrated ability to lead high-performing teams and deliver complex, cross-functional projects
- Excellent communication and interpersonal skills with the ability to align technical and business priorities
- Comfortable working in a fast-paced, high-growth environment with a strong sense of ownership
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions
PREFERRED
- Experience leading software teams working with hardware and embedded systems
- Experience or background in or knowledge of electrical and embedded systems
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $150,000 - $215,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: London, UK
Workplace: Hybrid
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Regional Marketing Manager EMEA
Sensor Tower
Location: London, UK
Work arrangement: Hybrid, with 2-3 days per week in the office
Organization: Marketing
Level: Director; initially an individual contributor, with future team leadership
About the role
Sensor Tower is seeking a Regional Marketing Manager to drive marketing across Europe, the Middle East, and Africa (EMEA). Based in London, you will help create and implement Sensor Tower’s regional marketing strategy, building awareness, generating demand, and supporting pipeline growth in partnership with regional Sales and our global Marketing organization.
This is a broad marketing role with an emphasis on product marketing and brand marketing. You will develop a strong grasp of our products and customer use cases, translating complex capabilities into clear, persuasive messaging for EMEA audiences. Working closely with Product, Sales, Engineering, and Customer Success, you will contribute regional insights to global launches and adapt global programs for local markets.
This is a director-level position that will begin as a hands-on individual contributor. You will set priorities, write content, and deliver programs directly, while establishing the foundation to build and lead an EMEA marketing team over time.
What you will do
- Drive the EMEA product marketing strategy and plan, aligning regional priorities with sales goals, global go-to-market strategies, and opportunities across the region.
- Work with Product and Engineering to understand product capabilities and translate technical information into customer value propositions and relevant use cases.
- Partner with global Marketing and Product on product and feature launches and beta programs, bringing EMEA buyer needs into planning and leading regional messaging and activation
- Help plan and execute integrated campaigns across content, email, digital channels, account-based marketing, and events to generate qualified pipeline and support deal progression.
- Collaborate with other marketing leaders on regional events.
- Equip regional Sales teams with localized pitch decks, competitive battlecards, product presentations, and case studies that address customer needs and objections.
- Gather customer feedback, competitive intelligence, and market insights across EMEA. Share actionable findings with global teams to inform product and marketing decisions.
- Establish scalable marketing processes, identify future hiring needs, and build and develop the regional marketing team as the function grows.
What you will bring
- Significant B2B marketing experience, with a track record of driving regional strategy and delivering results at a senior or director-level scope.
- Exceptional writing and editing skills in English, including the ability to explain complex products and data clearly to different buyer audiences.
- Experience adapting global strategies for EMEA, with an understanding of regional differences in buying behavior and market needs.
- The ability to build product knowledge quickly and partner effectively with Product and Engineering on messaging and launches.
- Strong cross-functional collaboration and influence, including partnership with regional Sales and global teams across time zones.
- Experience using CRM, marketing automation, and analytics tools to measure performance and guide decisions.
- Sound strategic judgment and prioritization, with the willingness to execute directly and the leadership skills to build a team over time.
- Broad hands-on experience across demand generation, field marketing, content, and account-based programs, with evidence of pipeline impact
Preferred experience
- Experience in SaaS, MarTech, AdTech, digital market intelligence, or data products.
- Experience hiring, mentoring, or managing a marketing team.
- Familiarity with Salesforce, Looker, or buyer intent platforms.
- Additional language skills relevant to EMEA markets.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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 a Podcast Media Manager at Anthropic, you will own how Claude shows up in podcasts, one of our most important channels for reaching professionals and knowledge workers. This is not a traditional media buying role. We're looking for someone to build a refreshed, proactive podcast strategy: securing the right shows before they're obvious, going beyond standard ad reads, and creating unique partnerships that fully integrate our product into shows in ways no other brand is doing.
In this role, you'll own our podcast program end to end, from annual strategy and show selection through network buys, scripts, pacing, and reporting across 100+ shows. You'll sit on the influencer marketing team and partner closely with growth marketing on performance goals and in-house campaigns, brand marketing on major campaign flights, enterprise marketing on B2B buys and scripts, creative and copy teams on reads and refreshes, comms teams on messaging and media buying teams/agencies on execution.
Key responsibilities
Own podcast strategy for Anthropic, setting where we show up instead of reacting to inbound pitches
Lead podcast strategy flights for major campaigns end to end, from planning through reporting
Manage network buys across major audio publishers including Spotify, Amazon, NYT, and others
Develop year-long buys with top shows and media outlets, identifying and pitching partners before they come to us
Build partnership packages that go beyond ad reads to include bonus episodes, video, live events, and social
Partner with creative and copy teams as their main point of contact on podcast work, establishing a repeatable process for scripts and copy points
Manage voice-actor reads and QA spots before they air
Develop a refresh cadence for reads so messaging stays current across 100+ shows, tailored to each show's audience
Manage agency relationships, pushing partners to deliver the best rates, placements, and ideas
Track pacing across buys and shift budget as performance data comes in
Present results and learnings back to the team on a regular basis
Partner with growth, brand, and enterprise marketing to align podcast plans with performance goals, campaign flights, and B2B objectives
Minimum qualifications
Have deep experience in podcast media buying at a tech or consumer company with a substantial podcast budget
Have managed podcast programs in-house directly, not only through an agency
Have run both agency partnerships and in-house podcast programs, and know how to get the best work out of each
Are skilled at managing and pushing media agencies to secure strong rates, placements, and ideas
Can spot up-and-coming shows before they're obvious and back your picks with a clear rationale
Bring creative ideas that go beyond the standard ad read, from bonus episodes to live events to product integrations
Are comfortable owning the details of execution, including scripts, QA, pacing, and reporting, alongside long-range strategy
Work well across many partner teams and can build repeatable processes that scale
Enjoy shaping a program from the ground up rather than maintaining an existing playbook
Are excited about Anthropic's mission to develop AI that is safe and beneficial
Preferred qualifications
Experience negotiating year-long or multi-format partnerships with top shows or networks
A background in copywriting or close collaboration with creative teams on host-read scripts
Familiarity with B2B audiences and enterprise-focused podcast buys
Experience with podcast measurement, attribution, and incrementality testing
Relationships with major audio publishers, networks, and independent hosts
Experience extending podcast partnerships into video, social, or live formats
Familiarity with AI products or the broader developer and knowledge worker audience
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:
$200,000
—
$255,000 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: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives.
The Health team develops the algorithms and features that expand WHOOP's health sensing capabilities. The work spans women's health, wellness and longevity, member insights, emerging health signals, and software as a medical device. Applied ML Scientists and ML Engineers work as a production unit: scientists own problem framing and modeling; engineers own the path to production.
As a Senior Manager, Machine Learning on the Health Insights team, you will own delivery and people outcomes across a mixed team of scientists and engineers. You will translate department strategy into clear quarterly plans, develop senior ICs (and, as the team grows, the next layer of managers), hire against a high bar for both crafts, and partner with Product and adjacent Health partners on what is worth building and what the data can support. You will stay close enough to the ML lifecycle to evaluate the team's most important decisions without becoming the default contributor.
Success in this role requires enough ML and health-domain fluency to earn trust from senior ICs, plus the people-leadership skill to grow that team, hold delivery across multiple workstreams, and make prioritization calls under uncertainty.
RESPONSIBILITIES:
- Own delivery, team health, and people outcomes across Health ML workstreams on a mixed Applied ML Scientist and ML Engineer team.
- Translate department strategy into quarterly plans, milestones, and success criteria; keep the team on the highest-leverage work and adapt deliberately as priorities shift.
- Build the team: lead hiring across science and engineering roles, calibrate the bar for each craft, and shape onboarding, leveling, and growth practices.
- Develop the next layer of leadership: coach senior ICs (and managers, as the scope grows), manage performance with clarity and care, and create the conditions for people to operate above their level.
- Set the standard for how Health ML gets built: work quality, evaluation rigor, review practices, and an operating model that holds as people and workstreams change.
- Partner directly with Product (and with clinical, software, and Digital Health partners as the work requires) to align on roadmap, evidence, and sequencing; broker trade-offs between iteration speed, scientific integrity, and member value.
- Own the risk posture for the team: anticipate execution, technical, and people risks, design mitigation into how the team operates, and keep senior leadership clearly informed of the most consequential decisions.
- Define and own the operating model: planning cadences, design reviews, decision forums, and quality gates appropriate to member-facing health ML.
- Build and continuously raise AI-enabled workflows that create measurable leverage across the team, for development, evaluation, documentation, and stakeholder communication.
- Represent the team's work credibly to executive and cross-functional audiences with brevity, evidence, and clarity.
QUALIFICATIONS:
- 7+ years of experience in machine learning, applied science, or software engineering, with 3+ years managing engineering and/or science teams.
- Bachelor's degree in Computer Science, Engineering, Applied Math, Biomedical Engineering, or a related field; advanced degree preferred.
- Demonstrated track record managing highly senior ICs: hiring, performance management, and developing people who in turn raise the bar around them.
- Deep familiarity with the ML development lifecycle (data collection, model training, evaluation, validation, deployment, and monitoring), sufficient to evaluate the most important technical and methodological decisions the team makes.
- Experience shipping algorithms or ML-enabled product in health, wearables, digital health, or a closely related applied domain.
- Demonstrated ability to set direction and make timely prioritization calls under uncertainty, keeping team focused on the highest-leverage work.
- Demonstrated AI-tooling sophistication: a track record of building or adopting AI-enabled workflows that materially improved team speed, quality, or decision confidence.
- Clear, high-signal communicator who can move fluidly between technical ML discussions and executive-level summaries of risk, trade-offs, and direction.
- Depth in a Health domain WHOOP already works in preferred (member insights, women's health, cardiometabolic or respiratory health, sleep, strength / healthspan, neuroscience, or related physiological time-series work).
- Preferred experience as a counterpart to Product on ambiguous health or member-insight problems: scoping, sequencing, and pushing back when a claim is not supportable.
- Familiarity with clinical validation, evidence packages, or Digital Health partnership on higher-stakes health features preferred.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $170,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
As one of Notion’s founding Demo Engineers, you’ll build the global demo engine behind how we bring Notion’s most important customer stories to life. You’ll shape the standards, systems, and experiences that help our Sales teams demonstrate what is possible with Notion, from the first customer conversation through implementation and deployment.
This is a high-impact opportunity to create the function from the ground up. You’ll establish global standards, turn our strongest customer solutions into repeatable demos, and give regional teams the tools and autonomy to innovate. Your work will directly influence how customers understand Notion’s platform, AI capabilities, and potential to transform how their organizations work.
This role reports to the Global Head of Acquisition and partners closely with Sales, Forward Deployed Engineering (FDE), Enablement, and PMM.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Build the global demo engine that brings Notion’s most important customer stories to life
- Partner with Enablement and PMM to define the core narratives, scripts, environments, and assets for each demo
- Create a durable release and versioning process so demos stay current as the product evolves
- Automate repeatable setup and maintenance wherever possible so the system can scale globally
- Turn Notion’s strongest customer and internal solutions into reusable GTM assets
- Identify high-impact use cases and transform them into repeatable, field-ready demos
- Partner with FDE to package customer solutions, implementation guidance, and technical patterns into demos the field can confidently deliver
- Work with GTM Systems to translate demos into workspaces that can be deployed in customer environments
- Set the global standard for demo quality and help the field deliver it
- Define what great looks like for each demo moment, from the first customer conversation to a tailored technical experience
- Train and coach customer-facing teams on storytelling, environment setup, delivery, and troubleshooting
- Partner with Enablement to create practical resources and programs that raise demo quality across regions
- Create a clear path from experimentation to global scale
- Give customer-facing teams a structured way to safely build, test, and pilot new demo concepts
- Evaluate the strongest ideas and turn them into scalable standards, templates, and reusable assets
- Serve as the strategic demo partner for high-impact opportunities
- Advise teams on custom or personalized demos that fall outside the standard portfolio
- Help teams balance customer relevance, technical credibility, and speed without compromising quality
SKILLS YOU'LL NEED TO BRING:
- 5+ years in a technical or customer-facing role such as Solutions Engineering, Sales Engineering, Demo Engineering, Solutions Architecture, or Software Engineering
- Experience designing and delivering technical demos, prototypes, or solution experiences for a SaaS product
- Strong systems thinking, with experience building scalable standards, templates, documentation, versioning practices, and operating processes
- Ability to translate complex product capabilities into clear, compelling customer stories tied to business value
- Technical fluency across APIs, integrations, automation, data, permissions, and enterprise security concepts
- Working proficiency with scripting or automation tools such as Python or JavaScript
- Experience partnering across Sales, Product, Engineering, Enablement, and Marketing to drive alignment and deliver shared outcomes
- Strong communication and coaching skills, with the ability to raise the capabilities of customer-facing teams
- Comfort creating structure, setting priorities, and making progress in a fast-moving environment with evolving requirements
NICE TO HAVES:
- Experience building or scaling a demo engineering, solutions engineering, or technical enablement function
- Experience with enterprise sales cycles and complex, multi-stakeholder customer environments
- Hands-on experience with demo automation platforms such as Consensus, Navattic, Reprise, Storylane, or Demostack
- Experience supporting major product launches or global go-to-market programs
- Familiarity with AI coding tools such as Claude Code, Codex, or Cursor
- Experience with productivity, collaboration, AI, or horizontal SaaS products
- Notion power user
TOOLS YOU'LL USE:
- Demo environments: Notion, plus demo automation platforms as needed
- Collaboration: Slack, Salesforce, Gong for call review
- Automation: Zapier, scripting tools, API clients (Postman or similar)
- AI Coding Tools: Claude Code, Codex, Cursor
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $220,000 - $250,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Remote, Global
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THE ROLE
We are seeking a Platform Software Engineer with deep experience in distributed systems to help design, build, and maintain core platform services. You will work primarily in TypeScript and Go to deliver reliable, scalable, and secure systems that power Supabase at massive scale.
WHAT YOU'LL BE DOING:
- Design and implement distributed services and APIs that power the Supabase Platform.
- Lead projects that improve scalability, reliability, and cost efficiency across existing systems.
- Build data-intensive workflows, background jobs, and event-driven pipelines.
- Own service SLIs/SLOs and collaborate on incident response and post-incident reviews.
- Improve system observability with metrics, logging, tracing, and profiling.
- Contribute to our CI/CD and release processes to ship safely and quickly.
- Partner with product teams to deliver features end-to-end, from design docs to production.
- Write clear design documents, RFCs, and high-quality tests.
WHAT WE'RE LOOKING FOR:
- Experienced in designing and operating distributed systems, with strong foundations in consistency, fault tolerance, partitioning, consensus, and back pressure.
- Proficient in TypeScript and/or Go, ideally with 5+ years building production services in one or both languages (other languages also considered).
- Comfortable with cloud infrastructure (AWS preferred) and container orchestration.
- Familiar with multi-tenant architectures, API design, and data modelling.
- Knowledgeable about networking fundamentals and security best practices.
- Experienced with Infrastructure as Code (Pulumi preferred; Terraform/CDK also fine).
- Comfortable participating in on-call rotations for large-scale production systems.
NICE TO HAVE:
- Experience with Postgres internals, logical replication, or CDC pipelines.
- Experience with service meshes, workload identity, or zero-trust networking.
- Background in performance engineering and capacity planning.
- Open source contributions in systems, databases, or runtime tooling.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: San Francisco, CA | New York City, NY | Seattle, WA
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.
Job Description
As a Data Engineer, you will be a member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics for consumer products from idea to implementation. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.
Responsibilities
:
Understand and whenever possible proactively identify the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
Closely partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products in a fast paced environment
Influence the future roadmap of Product teams from a data systems perspective
Become an expert in our organization’s data models and the company's data architecture
You might be a good fit if you have:
7+ years of experience as an Data Engineer or similar Data Science & Analytics roles, preferably partnering with Product leads to build and report on key company-wide metrics.
A passion for the company's mission of building helpful, honest, and harmless AI.
Expertise in building multi-step ETL jobs through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
Expertise in SQL and Python to transform data into accurate, clean data models
Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
A bias for action and urgency, not letting perfect be the enemy of the effective.
A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
Experience building a Data Engineering (or similar) function at start-ups.
A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
Experience scaling own productivity and that of others by leveraging AI without sacrificing the quality of deliverables.
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:
$320,000
—
$405,000 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 - India
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
People Generalist.
About the job
This position is needed to support delivery of People priorities. This role supports a number of business functions and HRBPs located in the APJ region. You will be an integral part of the People Generalists team, reporting to the Global People Generalists Manager, and partnering closely with and supporting the work of international and functional HRBPs and COEs across the People team.
Twilio is looking for a People Generalist who lives
the Twilio Magic
and has a demonstrated track record of providing advice and assistance with HR queries in a wide variety of areas including benefits & compensation, offboarding, global mobility and employee relations.
Responsibilities
In this role, you’ll:
Partner with the HRBP team supporting our
APJ region
functions to support program roll-outs and on-going process execution
Analyse HR data and trends across the organisation they support (e.g. headcount, attrition, performance) to generate insights, trends and prepare clear and customised reports, metrics and presentation materials for HRBPs and senior leadership to support decision-making
Own and manage performance management cases end-to-end, partnering with managers to ensure fair, consistent, and timely outcomes in line with company policy
Coach and guide managers through the performance management process, providing advice, documentation support, and best practice to build manager capability and ensure a positive employee experience
Support HR Leaders on ad hoc projects
Help to execute and where required lead business led initiatives (re-orgs, job role and level assessments, etc)
Partner cross functionally with key stakeholders: Talent Management, IT, ER, HR operations, Compliance, Recruiting, Compensation, etc. to ensure communications, program, and process alignment
Program Management- annual cyclical events such as calibration, pulse surveys etc
Maintain confidentiality of core HR data and projects
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 experience in an HR role in a matrixed organisation
Ability to take initiative and be a self-starter
You are a decisive problem solver with a "get it done" attitude who will thrive in a fast-paced, sometimes ambiguous environment
Strong ability to make administrative and procedural decisions and exercise judgment with sensitive and confidential issues
Strong data analysis skills and ability to share recommendations with stakeholders
Data Storytelling: Connects internal data with external benchmarks to provide actionable executive insights
AI-Enabled Efficiency: Enhances productivity through the sensible and strategic usage of AI tools.
Demonstrates employee focus and managing proactive communication to ensure optimum HR support
Leads the alignment between GTM and marketing HRBPs and COEs to ensure programs are scalable and reflect unique functional needs.
Keen to continue learning and developing their skill set, having a growth mindset
Strong ability to identify process gaps and improvement opportunities
Desired:
Proficiency with HR systems, such as Workday and ServiceNow
Location
This role will be remote, and based in India (only in Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi).
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
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.
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: Remote: United States; San Francisco HQ; Remote: Canada
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
About the Role
As the Engineering Manager for Governance & Access, you will lead the team responsible for building the security, governance, and access capabilities that let Render's customers manage teams, permissions, and environments with confidence as they scale.
You'll design these capabilities for a world where agents, not just humans, operate on Render, turning emerging agentic use cases into simple, reusable platform primitives across identity, authorization, credentials, and delegation. The problems span traditional IAM and emerging agent infrastructure, which is what distinguishes this role from a typical security or IAM job. You'll shape the team's structure as much as its roadmap. You'll also join at a formative moment: the team is small, the architectural foundations are still being defined, and the systems you build will become primitives used across millions of users.
What You’ll Do
- Lead and grow the Governance & Access team
- Own the roadmap for governance, identity and access management, roles and permissions, and related compliance and security capabilities
- Define how these capabilities extend to agents operating on Render, not only human users
- Partner with the dedicated product and design partners already on the team to align roadmap with customer and platform needs
- Build a strong hiring and interview process as the team scales, calibrating closely with recruiting and cross-functional partners
- Make key technical and architectural decisions for access, identity, and governance systems
- Coach and develop engineers, through performance management and career growth
- Coordinate with the adjacent Security team and the rest of the Growth and Expansion org as the platform evolves
- Balance security, usability, and speed, making pragmatic decisions about where strong guarantees are required and where the team can iterate
What We’re Looking For
- Strong people leadership - the top priority for this role
- Comfort operating in ambiguity, with the flexibility to adapt and grow as the team's scope evolves
- Experience building and scaling a team from an early stage
- A track record of managing and developing engineers, including hiring and performance management
- Ability to partner closely with product and design without needing to fill those functions yourself
- Background from either a startup or a larger company is fine. What matters is experience and ability to operate in a fast-paced environment
Nice-to-Haves
- Experience in security, governance, or access management (IAM, RBAC, compliance)
- Exposure to building for AI agents or agentic systems
- Experience managing senior (IC5-level) engineers
- Background in developer platforms or B2B SaaS products
This is an opportunity to help define what secure access looks like when software increasingly acts on behalf of people.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
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Location: Hamburg
Workplace: Hybrid
adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.
Investigating 770 Million User Interactions Across a 100TB Data Lake
When a platform serves 770 million users, every optimization from reward mechanics to SDK integrations needs to be grounded in data. The Rewarded Analytics team builds the internal dashboards, alerting systems, and data pipelines that monitor the user funnel, traffic engagement, and reward consistency.
SQL and Python power deep-dive investigations and automated 100 terabyte-sized data analyses queried through Trino. Using Tableau as the main visualization tool, stakeholders have access to real-time insights on the product performance. Airflow orchestrates the pipelines that keep everything up to date. This team provides the data that turns questions into answers: every A/B experiment the product team runs, every anomaly a publisher flags, and every new SDK integration. These answers guide all the business decisions.
Your Mission & Who We Are Looking For:
- Data analyst with a strong technical foundation. You have 5+ years as a Data Analyst and work fluently in both SQL and Python, writing complex queries, big data optimizations, and analysis pipelines to support product and growth initiatives.
- Master of experimentation and A/B testing. You have deep experience designing experiments, calculating sample sizes, managing variance reduction techniques, and analyzing A/B/n tests to ensure statistically sound business decisions.
- Statistically grounded. You can reason confidently about core statistical concepts—hypothesis testing, confidence intervals, p-values, power analysis, and Bayesian vs. Frequentist approaches—and apply them to real-world product decisions.
- Not a stranger to anomaly detection. You have experience working with anomaly detection algorithms and approaches like distribution analysis and cross-population comparison to monitor test guardrail metrics and identify unexpected shifts in experiment data.
- You own the systems, not just your slice. You understand the end-to-end telemetry and feature flagging systems that power experimentation. You can speak to data flows, event tracking pipelines, architecture tradeoffs, and why things were built the way they were.
- Automation-minded across the stack. You think beyond one-off test analyses and build automated experiment reporting dashboards, reusable analytical frameworks, and data visibility solutions. Experience with dbt, Airflow, or experiment platforms (e.g., Optimizely, GrowthBook) is a strong plus.
- Collaborative and business-aware. You work closely with product managers, engineers, and growth leads to translate complex statistical results into clear, actionable recommendations that drive executive decision-making.
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.
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 Developer Success Engineer.
About the job
In this hybrid engineering and customer success role, you’ll work directly with developers that want to learn how Stytch works, help them design an implementation, and answer any questions they have along the way. Throughout that path you’ll also be serving as the voice of the customer within Stytch and closing the feedback loop by ensuring their insights make it back to our Product, Design, and Engineering teams - or implementing improvements yourself. As the team grows, you’ll have more opportunities to contribute new features to Stytch and Twilio products through code.
Responsibilities
In this role, you’ll:
Build new features and fix bugs in Stytch and Twilio products.
Serve as a technical resource for customers when they have questions about our product.
Improve documentation and processes for internal and external stakeholders.
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:
A genuine drive to understand customer needs and concerns.
Troubleshooting — Deep curiosity, grit, and tenacity to dig into tough technical issues and track down root causes.
Hands-on programming experience in a major language, with 2+ years writing code to build, debug, or automate, in a support, solutions, or software engineering role.
Ability to debug others' code (customer integrations, SDKs, open-source libraries) and ship small, well-tested fixes in an existing codebase.
Familiarity with modern web services and APIs.
Demonstrated ability to communicate credibly and effectively at all levels.
Desired:
Experience with authentication protocols (SAML/OAuth), MFA, IdP.
Prior experience in a customer-facing technical role, such as technical support, solutions engineering, field engineering, etc.
Direct experience working on a dedicated software development or product team.
Location
This role will be remote and must be willing to work
East Coast
business hours.
It
is not eligible to be hired in CT, NJ, NY, PA at this time.
Schedule
Ability to work non-standard, on-call rotation weekend and holiday hours.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
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
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $116,960 - $146,200
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $123,760 - $154,700.
Based in the San Francisco Bay area, California: $137,520 - $171,900.
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.
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 January 2nd, 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: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep.
We are seeking a Senior Applied ML Algorithm Engineer to develop and deploy signal processing algorithms and machine learning models that transform raw sensor data into accurate, reliable, and real-time physiological insights on WHOOP devices. In this hands-on role, you will own algorithm development from data analysis, model training, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Data Science, Firmware, Hardware, and domain experts, you will deliver robust on-device algorithms that improve the member experience while meeting the power, memory, compute, and latency constraints of wearable hardware.
RESPONSIBILITIES:
- Design and develop algorithms that combine signal processing, feature extraction, and machine learning to derive meaningful physiological insights from wearable sensor data.
- Analyze large-scale, noisy sensor datasets to train and evaluate models, identify performance gaps, and improve accuracy, robustness, and generalization across diverse members and real-world conditions.
- Translate algorithm prototypes and trained models into production-ready C/C++ implementations, optimizing signal processing pipelines and on-device inference for accuracy, power, memory, compute, and latency.
- Partner closely with Firmware and Hardware teams to integrate algorithms into production firmware, validate execution on target hardware, and resolve differences between prototype and embedded performance.
- Define performance metrics and rigorous validation plans, combining offline evaluation, lab-based experiments, real-world data analysis, and on-device testing to assess algorithm accuracy, reliability, and efficiency.
- Collaborate with Data Science, Software, Product, and domain experts to translate research findings into production-ready capabilities, investigate post-deployment performance gaps, and drive continuous algorithm improvement.
QUALIFICATIONS:
- 5+ years of experience developing signal processing and machine learning algorithms for time-series or sensor data in real-world applications.
- MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, or a related quantitative field, or equivalent practical experience.
- Strong foundation in digital and statistical signal processing for noisy time-series data. Experience with physiological signals or wearable sensors is a plus.
- Proficiency in Python for data analysis, model development, and experimentation, and C/C++ for implementing efficient algorithms in embedded firmware.
- Experience developing, training, and evaluating machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Demonstrated experience deploying machine learning models to resource-constrained embedded systems, including optimization across accuracy, power, memory, compute, and latency.
- Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and data science partners.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep.
We are seeking a Senior Signal Processing Engineer to develop and deploy algorithms for physiological sensors including optical sensor and inertial measurement unit (IMU) data into accurate, reliable, and real-time insights on WHOOP devices. This hands-on role centers on digital and statistical signal processing, sensor fusion, and model-based state estimation, with a particular focus on accelerometer and gyroscope data.
You will own algorithm development from sensor characterization, mathematical modeling, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Firmware, Hardware, Data Science, and Product, you will deliver robust on-device algorithms that perform reliably across diverse members and real-world conditions while meeting the constraints of wearable hardware.
RESPONSIBILITIES
- Design and develop real-time signal processing and sensor fusion algorithms that combine Sensor measurements inputs to characterize motion and deliver reliable member-facing insights.
- Develop and tune model-based estimators for orientation and motion, including sensor bias estimation, uncertainty propagation, and drift mitigation under changing movement and sensing conditions.
- Build robust IMU processing pipelines, including filtering, calibration, time synchronization, resampling, coordinate transformations, and compensation for sensor noise and systematic errors.
- Analyze large-scale, noisy wearable datasets to identify failure modes and improve robustness across motion patterns, device orientation, fit, and individual movement characteristics.
- Translate algorithm prototypes into production-ready C/C++ implementations, balancing accuracy with power, memory, compute, numerical stability, and latency.
- Partner with Firmware and Hardware teams on sensor configuration, sampling strategies, and on-device integration; investigate differences between prototype behavior and performance on target hardware.
- Define performance metrics and rigorous validation plans using reference measurements, controlled experiments, real-world data, and on-device testing to assess accuracy, robustness, and long-duration stability.
- Own technical decisions for complex algorithm components, contribute to design and code reviews, mentor teammates, and collaborate across functions to investigate post-deployment issues and drive continuous improvement.
QUALIFICATIONS
- 5+ years of experience developing and deploying signal processing, sensor fusion, or state-estimation algorithms for real-world sensor applications, including substantial hands-on work with IMU data.
- MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative field, or equivalent practical experience.
- Strong foundation in digital and statistical signal processing, including filtering, spectral analysis, stochastic processes, and sensor noise characterization.
- Demonstrated experience with accelerometer and gyroscope processing, IMU calibration, sensor error modeling, bias estimation, and drift management.
- Strong experience with Kalman filtering, including extended or error-state formulations, and model-based sensor fusion; practical understanding of nonlinear estimation, uncertainty propagation, and estimator failure modes.
- Practical knowledge of 3D motion and orientation representations, including coordinate frames, rotation matrices, quaternions, and rigid-body kinematics.
- Proficiency in Python for algorithm development, data analysis, and experimentation, and C/C++ for efficient embedded implementation; demonstrated experience deploying algorithms to resource-constrained hardware.
- Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and cross-functional partners.
- Experience with body-worn sensors, human-motion modeling, motion segmentation, or periodicity analysis is highly desirable.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Location: Hybrid - San Francisco
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
We're looking for a People Systems Manager, Workday to join our People team and build the foundation for how People technology operates at Vercel.
We've recently implemented Workday as our system of record, and we're just getting started. As we expand its capabilities and build toward public-company-ready operations, we need someone to own the architecture, security, business processes, and governance behind it.
We're building a headless People technology experience, with Workday as the engine behind it, not a traditional HR technology stack. Employees and managers will initiate transactions, access their data, and navigate People processes directly from the tools they already use. You'll make that possible, working closely with integration engineers to connect Workday's security model and Business Process Framework to the experiences we're building.
This is a hands-on IC role with real ownership over how Workday operates at Vercel. You'll set standards, make architectural decisions, and build systems that scale, reducing manual work, strengthening controls, and creating data our growing People analytics function can trust.
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
What you'll do
Own the configuration, security architecture, and Business Process Framework that power Workday at Vercel, and make the architectural calls that balance flexibility, scalability, and control as we grow.
Partner with integration engineers to design business processes and security configurations for transactions initiated through Slack, internal apps, and other tools, making Workday accessible beyond its native interface without compromising governance or data integrity.
Establish role-based security, segregation of duties, change management, and audit controls from the ground up, and automate what's needed for SOX, SOC 2, and public company readiness without adding friction.
Configure and optimize business processes for core People operations, equity, commissions, one-time payments, and clawbacks, partnering with Finance, Total Rewards, Payroll, and Legal to bring new capabilities into Workday accurately and auditably.
Set standards for data governance, reporting architecture, calculated fields, and data quality, so Workday stays a reliable source of truth as our analytics and self-service reporting mature.
Own release management, regression testing, and configuration change control. Find the root causes of recurring friction and fix them through better configuration, automation, and process design, and partner with auditors on evidence, walkthroughs, and remediation.
What you need
5+ years of hands-on Workday HCM experience across security, business processes, reporting, and core configuration.
Strong grasp of Workday's security architecture and Business Process Framework, including role-based access, security groups, business process policies, approvals, and segregation of duties.
Experience building or evolving a Workday environment, including configuration standards, governance frameworks, and scalable business processes in a growing organization.
Experience designing and implementing Workday security, governance, and internal controls that support SOX compliance and audit readiness.
Workday reporting and data management experience, including calculated fields, advanced and composite reports, data validation, and reporting governance.
Experience in interconnected HR technology environments, understanding how Workday security, business processes, and data architecture affect downstream systems and automated workflows.
Bonus if you
Have experience with Workday Payroll or complex compensation processes, including equity and commission payments.
Have helped a high-growth technology company scale its People Systems infrastructure or prepare for an IPO.
Have used AI or automation to improve system administration, data quality, controls, or operational efficiency.
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 $167,000 - $204,000. 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: Dubai, United Arab Emirates
Workplace: onsite
ABOUT YOU
We are looking for an Event Operations Coordinator, MENA who is trustworthy, self-driven, motivated, and accountable to join our Global Experiential Marketing team. The ideal candidate thrives in a fast-paced, highly collaborative, cross-functional and multicultural environment and is eager to help bring major global conference and event brands into Xsolla's new Dubai events hub and Expo venue.
You will work closely with the Event Operations Manager, the Director of Marketing EMEA and the Global Head of Event Sales to support the deal process, sales logistics and account management for event organizers hosted at the Xsolla Dubai Expo venue.
The right person for this role will be detail-oriented, dependable, and comfortable supporting multiple organizer accounts and deal pipelines under tight deadlines—an ideal role for someone early-to-mid career in events or account management who wants to grow with a new regional hub.
This role is in-office/on-site at Xsolla's new Dubai hub and will require regional travel of up to 15-20%.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
- Support the Event Operations Manager in managing relationships with event organizers being brought to the Xsolla Dubai Expo venue.
- Assist with deal processing for incoming event organizers, including contract paperwork, pricing documentation and onboarding materials.
- Support sales logistics for organizer accounts, including venue availability tracking, scheduling and coordination of requirements.
- Help maintain and update organizer account records and event budgets, ensuring costs are logged in the correct currency.
- Support hotel and travel logistics for staff and organizer representatives attending events.
- Assist with space planning and event set-up coordination within the Xsolla Expo venue.
- Support integrated marketing and social media campaigns for organizer-hosted events, including drafting copy and requesting graphics.
- Log Jira ticket requests to the in-house creative team with clear briefs and deadlines.
- Maintain the event roadmap tracker with organizer and sponsor information, dates and relevant links.
- Support on-site delivery of events, ensuring a positive experience for organizers, customers and partners.
- Support lead capture and ensure leads are logged with the CRM team in a timely manner.
- Assist with post-event follow-up, including organizer feedback surveys and gathering assets for reports.
Requirements
- 2+ years of professional experience in events, marketing, or administrative coordination.
- Bachelor's degree in Marketing, Business Administration, Communications, or related field preferred.
- Strong organizational and administrative skills with excellent attention to detail.
- Proficiency in project management tools such as Atlassian Suite, Jira, Asana, Monday.com, and the Google Workspace.
Preferred:
- Experience in the video games, tech or software industry.
- Experience tracking budgets across multiple events or currencies.
- Knowledge of the Dubai/MENA events market.
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, private health insurance and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equality Opportunity Statement:
Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, genetics, disability, age, social background or other characteristics.
We welcome and encourage applications from all qualified individuals and are dedicated to ensuring a fair and transparent recruitment process.
For the Event Operations Coordinator, MENA role, we will request a background check.
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Handling sensitive financial information/managing budgets/accessing funds
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the UAE Personal Data Protection Law:
Applicants are encouraged to inquire about their rights under the UAE Personal Data Protection Law. If you have questions regarding our hiring practices, please contact careers@xsolla.com
Location: San Francisco; Palo Alto
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Role Summary
As an Enterprise AE in our US market, you will play a crucial role in driving Mistral AI's adoption among large enterprise customers across various industries. Based in either the Bay Area or New York, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral AI as a leading AI solutions provider in the US.
What You Will Do
Lead Development (Strategic Outbound and Qualified Inbound):
• Conduct strategic outreach and manage warm introductions to potential enterprise customers.
• Convert inbound leads where there are opportunities for upselling or more bespoke agreements.
Value Proposition Validation for Customers:
• Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process.
• Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.
Deal Management & Closing:
• Develop and execute strategic sales plans to convert leads into valued customers.
• Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams.
• Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams.
Executive Engagement:
• Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations.
• Understand their specific challenges and position Mistral AI's solutions as integral to their strategic initiatives.
Technical Aptitude:
• Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients.
• Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases.
• Collaborate with our technical team to address any customer inquiries or concerns.
Training and Enablement:
• Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities.
What We're Looking For
• 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product.
• Deep understanding of the US market dynamics and enterprise landscape.
• Experience of consultative selling of highly complex, technical products.
• Bachelor's and/or Master's degree in Business, Computer Science, or a related field.
• Significant work experience within the AI ecosystem or related data/infrastructure field.
• Experience working at a successful, fast-growing startup, ideally in deep-tech.
• Strong technical skills to navigate quickly evolving products and steer technical discussions.
• Excellent written and verbal communication in English, and a bonus for French.
• Outstanding negotiation and communication skills to build relationships and close deals effectively.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
УдалённоRemote - Brazil
ОфисГеография найма не уточнена
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ГибридLondon, UK; Strong cross-functional collaboration and influence, including partnership with regional Sales and global teams across time zones
География найма не уточнена
ОфисseniorГеография найма не уточнена
ГибридSan Francisco, California; New York, New York
УдалённоМожно работать из любой страны
География найма не уточнена
УдалённоRemote - India; This role will be remote, and based in India (only in Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi)
УдалённоRemote: United States; San Francisco HQ; Remote: Canada
Гибридsenior🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team
УдалённоRemote - US
ОфисseniorГеография найма не уточнена
ОфисseniorГеография найма не уточнена
География найма не уточнена
ОфисDubai, United Arab Emirates
ОфисSan Francisco; Palo Alto; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks