Location: Vietnam; Armenia; Poland; Georgia; Thailand
Job responsibilities
Develop end-to-end monitoring for all infrastructure stacks, including Trino, Kubernetes, databases, and
Big Data
(Apache Ozone and Hadoop);
Implement automatic collection of DORA metrics and create high-level health dashboards to visualize service uptime;
Audit current metrics and address gaps in infrastructure monitoring, particularly in K8s, databases, and distributed storage systems;
Optimize and update Alertmanager rules to intercept incidents and anomalies before they impact users or are manually detected;
Serve as a single point of expertise in monitoring to free team leads from routine dashboard configuration and alerting support tasks.
Requirements
Experience from 3 years as Devops/SRE and from 5 years in IT, experience as an SRE or monitoring engineer with an emphasis on infrastructure reliability rather than product feature development;
Experience with Python (Go/JS as a plus);
Deep knowledge of Prometheus, Grafana, and Alertmanager, including writing complex PromQL queries and addressing alert fatigue;
Practical understanding of SLI/SLO/SLA concepts, error budgets, and the methodology for collecting DORA metrics;
Experience with containerization (Kubernetes) and databases, as well as the ability to quickly grasp metrics of distributed systems (Hadoop, Trino);
Ability to translate abstract system behaviors and logs into clear, structured, and actionable metrics;
Experience working with ClickHouse, Vertica, StarRocks, or Greenplum.
Benefits
We offer a fully flexible work schedule — there’s no pressure to start work at exactly 9:00 AM; what matters is achieving results and moving forward;
Each person in our team is encouraged to choose their preferred work format. You can work fully remotely, come to the office, or choose a hybrid work model;
We are an ambitious and supportive team who love what they do, appreciate each other, and grow together;
The growth and development of each employee is our priority, so we have internal programs available for adaptation and training, development of soft skills and leadership abilities that are tailored individually to each employee;
We also provide partial compensation for employees participating in external training and conferences;
In tourism, it's difficult to grow without an excellent knowledge of English, and we support our employees' language learning goals — we organize group and individual lessons, plus speaking clubs with colleagues from all over the world;
And, of course, to encourage you to travel more, we offer corporate prices on hotels and other travel services;
We provide MyTime Day Off — an extra day off that is designed to give our employees the flexibility to focus on important matters, whether it’s taking care of their health, mental recharge, addressing personal issues, or any other important activities.
Learn more about our data protection practices in our Privacy Policy:
emergingtravel.com/career/hr-policy
Location: Ta' Xbiex, Malta
Neo Group
is a Malta-based startup offering
B2B
services in Marketing, Tech, Data Analytics, Customer Support, HR, and Compliance. Established in 2024, it is built on over 15 years of veteran experience in multiple industries, including the iGaming industry. Despite our startup spirit, our team brings a wealth of expertise gained through years of collaboration with industry leaders. With a
network
of 1,400 talented professionals across 10+ countries, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace.
Role Overview
As a Loyalty Manager at Neo Group, you will play a key role in strengthening relationships with one of our major client's most valued players. This unique B2B role blends VIP account management with targeted retention strategy, focusing on creating tailored experiences that drive engagement, loyalty, and long-term player value for our client's brand. You’ll act as a trusted point of contact for their international VIP players, ensuring the client's operational goals are met through a seamless and rewarding player journey.
What you will be doing
Portfolio Management:
Manage a targeted portfolio of our client's potential and existing VIP players, building meaningful relationships through calls, emails, and chat on behalf of the brand.
Player Escalation & Upselling:
Reactivate, upsell, and escalate users to the client's higher VIP tiers when appropriate, aligning with the client's specific ROI and retention objectives.
Behavioral Monitoring:
Track player behavior within the client's ecosystem and act swiftly on key triggers like deposits, withdrawals, wins, and losses.
Operational Coordination:
Collaborate seamlessly with internal VIP Managers, Support, and Payments teams to ensure a frictionless experience for the client's user base.
Campaign Execution:
Execute data-driven retention campaigns and reward offers on behalf of the client, rigorously tracking performance and reporting outcomes to stakeholders.
Lifecycle Communication:
Maintain timely, proactive communication with players based on their platform activity to foster ongoing loyalty to our client's products.
The duties and responsibilities described in this job description are not a comprehensive list and as such additional tasks may be assigned to the employee from time to time; The scope of the job may also be subject to change as necessitated by business demand.
Requirements
Proven experience
in customer service, CRM, or user engagement.
Excellent communication skills
in English and Portuguese
,
both written and verbal,
Ability to build trust
with players without relying on excessive bonuses.
Familiarity with iGaming products
and user behavior.
Comfortable working with performance KPIs
and analyzing user activity reports.
Proactive, autonomous, and organized.
Proficient
with CRM tools, Slack, and other dashboards.
Nice to Have
Previous experience with VIP users or retention in the industry.
Experience in a fast-paced, performance-driven environment.
This is a fantastic opportunity to join a growing team and make a direct impact in an international setting. If you're a skilled relationship-builder with a passion for gaming, we encourage you to apply.
Benefits
🚀 Join us on an exciting journey to shape and revolutionize a new brand in the market
💼 Get ready to enjoy a comprehensive compensation and benefits package designed to enrich your work-life balance and well-being. This package includes a competitive salary, health insurance coverage, access to our on-site gym for a healthy lifestyle, complimentary breakfast and lunch to fuel your day, and a range of diverse social events to foster team spirit, belonging and collaboration
🌍 Experience an international work environment with a passionate, motivated and professional team
🏢 Be a part of our modern office space in Ta’Xbiex, conveniently located close to all amenities and one of Malta's sought-after marinas
Being part of Neo Group means more than just a job. It's about being a part of a vibrant community with over 40 nationalities across 8 global locations. As we embrace a thrilling phase of hyper-growth and scale-up, our success is fueled by the diversity and talent of our team—potentially including you!
Explore Neo Group Further:
For more details about life and careers at Neo Group, visit our
Career Website
connect with us on
Instagram
, and engage with us on
LinkedIn
.
Ready to redefine the future of iGaming with us? Apply today and become a part of something truly spectacular!
Location: London
Workplace: Hybrid
ABOUT NIANTIC SPATIAL
AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
ABOUT THE ROLE
We are looking for 3D Reconstruction Research Scientist to join our Research Team in London.
Our team researches and builds the 3D reconstruction technology behind Niantic Spatial's platform. These pipelines turn casually captured or domain specific imagery into high-fidelity explorable 3D reconstructions. This entails anything from Structure-from-Motion through to 3D Gaussian Splatting, feed-forward models, and generative models. Our team shipped 360 splatting to consumers and enterprise customers, developed the splatting tech that runs on phones, shipped multiple POCs to enterprise customers, and have innovated on countless AR technologies. Our team has published at top venues (CVPR, ICCV, ECCV, SIGGRAPH); more often than not, our papers end up in production. We're hiring a researcher to work at both ends of that pipeline. You will implement and iterate on the state-of-the-art for both academic publishing and production, regularly working on prototypes with a short turnaround into customer-facing production.
You will work alongside world-class researchers in computer vision, machine learning, graphics, and robotics to develop new approaches for large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models.
WHAT YOU’LL DO
- Conduct original research in computer vision, machine learning, and spatial AI.
- Design, implement, and evaluate novel algorithms for:
- 3D reconstruction
- Neural scene representations
- 3D Gaussian Splatting
- Geometric deep learning
- Structure-from-Motion (SfM)
- Meshing
- Feed-forward models
- Generative models
- Spatial foundation models
- Collaborate with research scientists and engineers to transition promising ideas into future products.
- Develop large-scale experiments and benchmarking frameworks.
- Work directly with the realities of production with real capture conditions, real hardware constraints, and real customers.
- Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH.
WHAT YOU’LL BRING
- PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field. Exceptionally strong candidates with equivalent experience in industry would be considered.
- A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, SfM, SLAM, or closely related areas.
- Strong publication record at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, etc.
- Strong programming skills in Python and experience in PyTorch.
- Evidence that you can carry an idea from research into something real; that may be a shipped feature, a production pipeline, a widely used open-source release, or similar.
- Ability to independently drive research projects from idea generation through experimentation and publication.
NICE TO HAVE
- Experience with classical reconstruction tooling (COLMAP or similar).
- C++ or CUDA experience, and a feel for performance and on-device constraints.
- Experience with traditional 3D techniques — meshing, texturing, or bringing modern geometry or generative representations into native 3D.
COMPENSATION & BENEFITS
Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package.
LOCATION & WORK MODEL
This role is based in our London office, with three days per week in office.
INCLUSIVE APPLICATION
We know the strongest candidates don’t always tick every box. If you’re excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn’t match every qualification listed — you may be exactly who we’re looking for.
EQUAL OPPORTUNITY
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
CANDIDATE PRIVACY
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Location: Hybrid - San Francisco, New York City, Austin
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 are looking for a software engineer to join our GTM Engineering team. You will build AI apps and workflows that drive revenue. You’ll partner closely with Sales, Marketing, Success, and Data to find opportunities and ship novel solutions with Vercel’s AI Cloud. You will report to the Director of GTM Engineering and will be remote.
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
Ship code daily using the Vercel AI Cloud
Discover user pain and ship high-impact solutions
Collaborate with top performers in GTM departments and ship their best practices to the org with systems
Test new features and give feedback to engineering
Publish best practices and guides on using Vercel’s AI Cloud
What you need
Have shipped a Next.js app to production with users
Have 4+ years of full-stack development experience
Familiar with the Vercel ecosystem
Experience working with AI models and APIs (e.g., OpenAI, v0 API, Anthropic)
Bonus if you
Have built an AI agent
Have automated repetitive tasks with AI
Have built features with the AI SDK
Have published blogs/videos explaining technical concepts
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 $180,000 - $295,000. 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: Hybrid - Boston
About the Job:
LaunchDarkly is looking for an experienced, self-directed Sales Development Representative to own the first stage of engagement across North America. You will manage and qualify inbound leads, event MQLs, and accounts showing meaningful engagement through our account-based programs.
This is not a purely reactive lead-response role. You will combine fast, consultative follow-up with thoughtful, proactive outreach to turn customer interest and buying signals into qualified meetings and pipeline.
Responsibilities:
Act as the first point of contact for prospective customers across North America, creating a fast, thoughtful, and credible first impression.
Respond rapidly to high-intent inbound inquiries, including demo requests, pricing requests, trials, contact forms, and other hand-raisers.
Own follow-up for event leads, adapting outreach based on the person, account, and engagement history.
Research and proactively engage targeted accounts that show meaningful engagement and buying intent.
Convert qualified interest into sales-ready meetings and opportunities for Account Executives.
Execute coordinated outreach across phone, email, LinkedIn, and other approved channels.
Maintain complete, accurate, and timely activity, qualification notes, and account context in Salesforce.
Partner closely with North American Account Executives, Marketing, Revenue Operations, and the global SDR organization to improve lead quality, routing, messaging, and conversion.
Share patterns and feedback from prospects so the broader team can improve campaigns, events, content, and the customer journey.
Qualifications:
At least 1 year of successful SDR or BDR experience in B2B SaaS or a similar environment.
A demonstrated record of setting goals, taking ownership, and delivering measurable results.
Experience communicating with customers, prospects, or other external audiences.
Strong judgment and the ability to operate independently.
Excellent written and verbal communication skills in English, with the confidence to engage senior and technical stakeholders.
Pay:
Target pay ranges based on Geographic Zones* for Level 3:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
-
$86,700
- $119,240
**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $78,100
- $107,360
**
Zone 3:
All other US locations - $73,700
- $101,310*
*
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from
@LaunchDarkly
.com email addresses or via LinkedIn from "Verified Recruiter" accounts.
Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native startups building in the physical world, across robotics, semiconductors, aerospace, manufacturing, and civil infrastructure, as they grow from early product to scale. Some of these companies build the hardware itself and want Claude woven into how they design, test, and operate it, and others build the software that engineers everywhere use to design, simulate, test, and scale, and this role works with both. You'll lead deep technical engagements, partnering directly with startup software and hardware engineering teams to help them build their products on Claude and run their own engineering with it, advising on implementation and agent design as they build what is newly possible with AI in the physical world. You will bridge the gap between what Claude can do and what it takes to build real things, working alongside some of the strongest teams in the field on problems that matter and helping mechanical, electrical, and process engineers get the kind of step change that software engineering has had from agentic coding with tools like Claude Code.
Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your engineering domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable physical AI startups to succeed with Claude.
Responsibilities
Serve as a deep technical advisor to high-potential startups building in the physical world, whether Claude sits inside the product they sell or inside the way they design, test, and run their own hardware, working alongside them to push the boundaries of AI in engineering, manufacturing, operations, and more
Work hands-on with startup software and hardware teams through pair programming and architecture reviews that accelerate their development, and understand their engineering workflows end to end, from design and simulation through test, production, and operations, so that your guidance fits how real hardware gets built
Develop prototypes and technical documentation, including evaluation suites, benchmarks grounded in real engineering tasks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude
Create reference implementations and sample code that many companies can adopt without starting from scratch, for example integrating Claude with CAD, simulation, design tools, or industrial automation
Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements
Identify patterns across engagements, including what is hard about applying AI to physical systems such as reading drawings, 3D geometry, board layout and routing, GD&T, latency and on-premise constraints, and physical safety, then build repeatable evaluations and solutions and contribute insights back to Product, Engineering, Research, and the broader Applied AI team
Create technical content for startup audiences including documentation, tutorials, and sample code
Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events
Travel to customer sites for workshops, implementation guidance, and relationship building
You may be a good fit if you have
Deep engineering experience in a physical discipline such as mechanical, electrical, aerospace, robotics, semiconductor, manufacturing, or civil engineering, gained by designing, building, or operating real hardware, along with strong opinions of your own about how to bridge the gap between what AI can do today and how physical things get built
4+ years of technical experience as a software engineer, ML or research engineer, robotics or controls engineer, hardware or systems engineer, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real engineering work in design, simulation, test, or production
Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly
Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both software and hardware engineering audiences and to run technical workshops, hackathons, or developer-focused events
A collaborative approach to working across teams, the range of a generalist who can context-switch from robots to chips to rockets to factories and get up to speed on a new domain quickly, and a passion for making powerful technology safe and beneficial
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:
$280,000
—
$320,000 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: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of the industry, and others do the science themselves and want Claude woven into how their own research runs, and this role works with both. You'll lead deep technical engagements, partnering directly with startup engineering and scientific teams to help them build their products on Claude and run their own research with it, advising on implementation and agent design as they build what is newly possible with AI in the life sciences. You will bridge the gap between what Claude can do and what the life sciences need, working alongside some of the strongest teams in the field on problems that matter and pushing the boundaries of AI in science as you go.
Working closely with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams, you'll help startups build at the edge of what is possible with Claude. You'll leverage your AI engineering expertise and your scientific domain knowledge to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable life sciences startups to succeed with Claude.
Responsibilities
Serve as a deep technical advisor to high-potential life sciences and biotech startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development
Work hands-on with startup engineering teams and their scientists through pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines
Develop prototypes and technical documentation, including evaluation suites, scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude
Create reference implementations and sample code that many companies can adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows
Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements
Identify patterns across engagements, including what is hard about deploying AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work
Create technical content for startup audiences including documentation, tutorials, and sample code
Represent Anthropic across the life sciences startup ecosystem and foster community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells
Travel to customer sites for workshops, implementation guidance, and relationship building
You may be a good fit if you have
Deep experience in the life sciences or biotech, gained through research or industry work in areas such as genomics, drug discovery, molecular design, lab automation, or clinical development, along with strong opinions of your own about how to bridge the gap between what AI can do today and what the life sciences need
4+ years of technical experience as a software engineer, ML or research engineer, computational biologist, research scientist, or technical founder, with either production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or a track record of successfully applying AI to real scientific work in the lab or in research
Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly
Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans for both engineering and scientific audiences and to run technical workshops, hackathons, or developer-focused events
A collaborative approach to working across teams, the ability to context-switch across scientific domains and use cases, and a passion for making powerful technology safe and beneficial
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:
$280,000
—
$320,000 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: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Business Risk & Insurance (BRI) team, part of Treasury, safeguards the company's balance sheet, people and physical assets. We are the financial and operational safety net for a company building some of the world's most advanced AI systems, from large-scale compute and data center infrastructure to our offices and the products we put in customers' hands. The team is scaling quickly as Anthropic grows.
As a Risk & Insurance Specialist, you'll build operational excellence across contracts, claims, and day-to-day insurance operations, using AI and automation to streamline processes wherever you can. You'll work closely with Compute, Engineering, Finance, Legal, Security, Product and Payroll to spot emerging risks early, help structure global insurance programs, support our risk-financing strategy and drive loss prevention. This is a rare chance to insure one of the fastest-growing companies, where parts of the risk landscape are still being defined, and to help Anthropic pursue its mission boldly by keeping our operations resilient and protected.
Key responsibilities
Insurance review of contracts: Review insurance and indemnity requirements in customer, vendor, lease, and compute agreements, and advise Legal and business partners on compliant, practical positions.
Insurance operations: Manage claims intake and tracking, certificates of insurance, broker coordination, and policy administration. Build a data warehouse / repository and repeatable processes as volume scales.
Data gathering and reporting: Collect and maintain exposure data (property values, payroll, revenue, headcount, etc.) for renewals, audits, and underwriting submissions.
Actuarial and quantitative analysis: Support limit-adequacy, loss, and retention analyses to inform program structure and decisions.
Captive operations: Support captive formation and ongoing operations, including fronting and reinsurance coordination.
Automation: Identify and implement ways to automate manual insurance workflows using AI and workflow tools.
Cross-functional support: Partner with Compute, Finance, Legal, and Payroll on insurance questions across the business.
Minimum qualifications
Experience in insurance, corporate risk management, brokerage, underwriting, or risk consulting.
Hands-on experience supporting a multi-line commercial insurance program (property, casualty, cyber/tech E&O, D&O/management liability, and similar).
Preferred qualifications
8–12 years in insurance, corporate risk management, brokerage, underwriting, or risk consulting
At least 4 years on the corporate (buyer) side, or in a broker or carrier role serving corporate clients
Experience at, or insuring, a technology company or other fast-growing, complex organization
Property insurance experience, including large or complex property, construction, or data center exposures
Captive insurance experience (formation, management, fronting, or reinsurance)
Experience insuring emerging technology risks, such as AI or technology liability and cyber
Background at a major broker, carrier, or large technology company risk team
Actuarial training or credentials, or experience with actuarial analysis
Familiarity with insurance management systems, SQL or Python, or building workflow automation
Experience building processes from scratch in an ambiguous, fast-moving environment
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:
$180,000
—
$230,000 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: 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
Anthropic is growing fast, and our SOX program needs to keep up. Many of the controls that matter for financial reporting run on engineering systems: who can access production and financial systems, how code changes are reviewed and deployed, and how usage is metered and billed.
We’re hiring a Technical Program Manager to own the technology side of our SOX program. You'll work across engineering, security, GRC, Finance, and Internal Audit to design and run IT controls, drive gaps to closure, and make compliance lighter for engineering teams. You’ll also use Claude to automate evidence collection and control testing, so the program scales without more manual work.
Responsibilities
Own the technology side of the SOX program end-to-end, from planning and control design through evidence, testing, remediation, and year-end reporting
Work with engineering teams to design and roll out IT general controls and IT application controls
Work with engineering teams to build Claude-based workflows, tools, and dashboards to automate evidence collection, control testing, and monitoring that warns engineering teams about compliance issues before an audit finds them
Lead large SOX projects, such as bringing new systems into scope, with clear success criteria, dependencies, and delivery dates
Turn control requirements into concrete engineering work with clear scope, owners, and deadlines, and a design that fits how our teams already build and ship
Build processes to evaluate new products, systems, and major engineering changes for SOX impact before they ship, so the right controls are in place from the start
Build strong working relationships with engineering control owners, help them understand what their controls require, and support them in producing evidence for auditor requests
Investigate control failures down to root cause, and drive engineering teams to fix them in time for the fix to be tested
Help keep an up-to-date list of the systems, apps, and infrastructure in SOX scope, with an owner named for each control
Track system migrations and scope changes, and make sure controls are updated as systems move
Build metrics and dashboards on control health, open findings, and remediation progress
Give regular updates on program status, risks, and remediation to technical leadership
Keep improving the program: simplify control processes, remove manual steps, and raise the share of controls that run cleanly
You may be a good fit if you
Have 7+ years of experience in technical program management, IT audit, or technology compliance, with a focus on SOX and IT general controls
Have run or supported a SOX program at a public or pre-IPO company
Have used automation or AI tools to make compliance work faster and more reliable
Know IT general controls and IT application controls in depth, including access management, change management, and application controls, and how they support financial reporting
Have worked closely with external auditors
Understand cloud infrastructure and engineering workflows, such as code review, CI/CD, and cloud access, well enough to work through a control design with an engineer
Can explain technical risks and control gaps clearly to executives and other non-technical audiences
Are comfortable driving outcomes across engineering, finance, and audit teams that don't report to you
Strong candidates may also have
A background in software, systems, or security engineering
Hands-on experience building with Claude Code or other AI tools
Experience with automated controls in revenue or order-to-cash systems, such as billing and usage metering
Experience with financial systems such as ERP and billing platforms, and the controls around them
Experience building or rebuilding a SOX program at a fast-growing company
Familiarity with other security and IT frameworks, such as NIST or ISO 27001
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:
$290,000
—
$365,000 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: 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 Technical Program Manager for Corporate Engineering, you will lead programs that build world-class business solutions enabling every Ant to do their best work. In partnership with Anthropic's IT & Security organization, you will drive end-to-end solutions across the company, delivering the right products, tools, platforms, and experiences for all Ants as they work to create a world for safe and powerful AI. In the simplest terms, you build and drive solutions to enable all of Anthropic to be more productive.
You will use your technical and program management expertise to lead complex, multi-disciplinary programs from start to finish. You will work with stakeholders to plan requirements, identify risks, lead execution, and communicate clearly with cross-functional partners across the company. You are equally comfortable explaining your team's analyses and recommendations to leadership as you are discussing the technical tradeoffs in product development with engineers.
This role owns the full spectrum of Corporate Engineering programs: the IT systems Ants depend on daily, first-party and third-party software platforms, endpoint devices, office infrastructure, AV and collaboration equipment, network infrastructure, and the programs that scale our physical office footprint as Anthropic grows.
Responsibilities
Partner across Corporate Engineering domains to drive alignment and delivery
: Work with globally distributed product, engineering, and architecture teams to foster collaboration, help teams adopt enterprise standards, and enable faster delivery with consistent practices across the organization
Define and maintain core architectural foundations
: Assist in establishing and maintaining the architectural standards that underpin Corporate Engineering systems, ensuring scalability, reliability, and security as Anthropic grows
Lead office deployment and scaling programs
: Own end-to-end planning and execution for new office buildouts and expansions, coordinating across IT, Facilities, Security, and external vendors to deliver fully operational workspaces on schedule
Own internal systems and infrastructure programs
: Drive programs for all internal systems and hardware deployed in Anthropic buildings, including network infrastructure, AV equipment, printing and collaboration hardware, and building technology integrations
Lead endpoint and device management programs
: Own global programs for corporate laptops, mobile devices, and endpoint management, ensuring Ants have secure, well-managed devices that enable productivity from day one
Drive IT Operations excellence
: Lead programs that improve IT service delivery, support operations, and the overall Ant experience with technology, driving continuous improvement in reliability and responsiveness
Manage enterprise software and platform programs
: Lead programs for the 1P and 3P software platforms Ants depend on, including HR systems, productivity tools, and business applications, from evaluation through deployment and ongoing optimization
Collaborate with cross-functional stakeholders
: Work closely with Security, Facilities, People, Finance, and functional teams across Anthropic to ensure Corporate Engineering programs meet diverse organizational needs
Communicate effectively at all levels
: Comfortable communicating across all levels of Anthropic from presenting analyses, recommendations, and program status to leadership, engaging deeply on technical tradeoffs with engineering teams, and communicating broadly to the entire company
You May Be a Good Fit If You Have
8+ years of experience in IT, Corporate Engineering, or Enterprise Technology, with at least 4+ years leading complex, cross-functional programs
Technical background in enterprise IT systems, including endpoint management, identity and access management, network infrastructure, and SaaS platforms
Experience leading office buildout or infrastructure deployment programs, coordinating across IT, Facilities, and external vendors
Proven experience as a Technical Program Manager or similar role in a technology-focused environment, with a track record of leading company-wide programs to successful completion
Strong communication skills with the ability to translate technical concepts for executive audiences and engage credibly with engineers on technical details
Ability to manage ambiguity and drive clarity in fast-paced, evolving environments where requirements and priorities shift
Strong collaboration skills with proven ability to partner across diverse stakeholders including IT, Security, Facilities, People, Finance, and functional teams
Strong Candidates May Also Have
Experience scaling IT infrastructure in high-growth technology companies
Background in IT service management (ITSM) frameworks and continuous improvement methodologies
Experience with enterprise software evaluation, procurement, and vendor management
Familiarity with modern endpoint management platforms and zero-trust security architectures
Experience with AV systems, video conferencing infrastructure, and collaboration technology deployments
Prior technical experience as an IT engineer, systems administrator, or network engineer
Experience with IT programs in AI/ML research environments or organizations with unique security and compliance requirements
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:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Senior Executive Business Partner.
About the job
This position is needed to triage multiple deliverables with competing deadlines, take effective action without knowing the full picture, plan global offsite events, and provide proactive calendar support. You will partner with executives to drive execution on team initiatives in support of business priorities. You will be a part of an incredibly talented team of Executive Business Partners and Administrators.
Responsibilities
In this role, you’ll:
Partner with your executives to understand their priorities in order to effectively address meeting requests and manage complex calendars and travel, stack rank meeting requests and redirect as needed.
Serve as the point person for planning global, multi-day team onsite meetings.
Work independently and execute decisions on behalf of your executives while exercising discretion in committing time and evaluating needs.
Manage complex travel on behalf of your executives (domestic and international), prepare expenses, organize and assist with special events, team activities and successful meetings through research, participant coordination, material preparation and logistics management.
Act as a point person for your executives’ direct reports, building strong relationships across their team(s) and internal and external stakeholders to progress your executives’ priorities and identify any challenges.
Plan agendas, coordinate logistics for large meetings, draft presentations, take meeting minutes/actions, and coordinate oral and written communication for executives.
Collaborate with your peer Executive Business Partners cross-functionally in alignment towards achieving company strategy, goals and objectives.
Develop a deep understanding of the overall business in order to support your leader and team and your own career development.
Collaborate with HR and department leaders to champion company values, foster a positive culture, and support team development programs.
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:
7+ years’ experience supporting executives in a fast-paced environment with the ability to make good decisions in sometimes ambiguous environments with changing priorities.
Superior attention to detail, proactiveness, and high level of integrity and discretion in handling confidential information; strong verbal and written communication skills along with excellent organizational skills.
Demonstrated ability to build cross-functional relationships, partnering closely with leaders and peers, and keeping multiple teams and projects on track in parallel.
Experience planning domestic and international travel including air travel, hotel accommodations, visa requirements, etc.
Confident abilities to plan and facilitate virtual, in person, or hybrid leadership summits and team-building events.
Experience with contract management, procurement processes and proficiency with common administrative tools (i.e. Zoom, G-Suite, etc.)
Excellent time-management skills, problem solving abilities, ability to anticipate needs and a master multi-tasker.
Desired:
Large event planning experience
Previous support roles within the Tech industry
Understanding of business operating cadences and team requirements to align and maintain rhythms
Prior experience with contract management and procurement processes
Ability to conduct research, create reports or presentations
Managing T&E expenses to budget
Strong written and verbal communication skills
Ability to think outside the box and know when to pivot as needed
Location
This role will be <remote and based in the West Coast, USA
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 10% travel is anticipated to help you connect in-person in a meaningful way.
Compensation
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $106,320 - $132,900.
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $112,560 - $140,700.
Based in the San Francisco Bay area, California: $125,040 - $156,300.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Applications for this role are intended to be accepted until Nov 16th, 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: San Francisco, CA or Seattle, WA
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.
_______________________________________________________________________
Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure.
The Gateway sits at the center of modern AI applications, offering:
- A model and tool routing layer with built-in security and cost optimization
- A familiar OpenAI-compatible interface and MCP server
- Unified observability and policy enforcement
- Auto-RAG, tool injection, session summarization, and more
We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development.
WHAT YOU’LL DO
- Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane
- Build infrastructure that supports dynamic model selection/routing, auto-failover, cost-based routing, and policy enforcement
- Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting
- Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol
- Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows
- Lead architectural decisions and mentor engineers as the team scales
- Performance tuning - caching, session summarization, and rate limiting that keep the gateway fast under real production load
- Contribute to roadmap planning, technical strategy, and cross-functional alignment
KEY PROBLEMS YOU’LL HELP SOLVE
- Building a unified abstraction over fundamentally different model and tool providers without leaking their differences into the developer experience
- Making credential and identity handling for tool access both airtight and fast
- Giving developers real-time and historical visibility into what their agents are doing, with policy enforcement that can't be bypassed
- Keeping latency low and reliability high as traffic scales from early adopters to production fleets
WHO YOU ARE
Required Qualifications:
- 6+ years of backend engineering experience with production-grade systems
- Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design
- Experience building secure, high-throughput services (e.g., gateways, proxies, load balancers, policy engines)
- Fluency in Go, and/or Rust (both preferred)
- Familiarity with AI/ML platforms or model serving infrastructure
- A strong product mindset—you're excited about building developer-facing tools
- Ownership mentality with a bias for shipping, learning, and iterating
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Bonus Qualifications:
- Prior experience with OpenAI, Anthropic, or similar LLM APIs
- Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI)
- Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways
- Understanding of OAuth2.1, secret management, and cloud IAM systems
- Experience with Kubernetes, Docker, and microservices architecture
WHY JOIN US?
- Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software.
- Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications.
- Impact at scale: Your work will touch tens of thousands of developers building AI-first applications.
- Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking.
- Remote-first culture: Work from anywhere with a team that trusts and empowers you.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $160,900 – $260,700 + equity
______________________________________________________________________
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.
______________________________________________________________________
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: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We are seeking a strategic and creative Partnerships Product Marketing Manager to drive the success of our partner ecosystem. In this role, you will work closely with our partnerships team and with leading technology companies including NVIDIA, Cloud Hyperscalers, Neocloud providers, and emerging ecosystem players, to bring differentiated joint solutions to market.
You will be responsible for shaping partner narratives, creating impactful content, and enabling joint go-to-market programs that amplify our reach. The ideal candidate combines storytelling skills, technical acumen, and the ability to collaborate across partner and internal teams.
RESPONSIBILITIES
- Partner Storytelling & Content
- Develop compelling blog posts, white papers, solution briefs, and customer success stories highlighting the value of joint solutions.
- Translate technical integrations into clear, differentiated messaging for both technical and business audiences.
- Enablement & Training
- Build and deliver enablement programs to arm partner sales teams with the tools, messaging, and collateral they need to position and sell our solutions.
- Create sales playbooks and battlecards tailored to each partner’s ecosystem.
- Joint Go-to-Market Campaigns
- Plan and execute co-marketing campaigns with partners, including webinars, events, solution launches, and demand-generation activities.
- Manage partner marketing calendars and ensure alignment with key product milestones.
- Cross-Functional Collaboration
- Work closely with product marketing, product management, DevRel, and growth marketing, events and sales to align messaging and GTM initiatives.
- Serve as the marketing point-of-contact for the partnerships team.
REQUIREMENTS
- 6-10 years of experience in product marketing, partner marketing, or related roles in B2B technology.
- Experience with NVIDIA technology and ecosystem or Cloud Providers technology
- Track record of working with cloud providers, ISVs, or hardware partners in joint go-to-market programs is a plus.
- Exceptional written and verbal communication skills; ability to create high-quality content across multiple formats.
- Strong program management skills with the ability to handle multiple partners and campaigns simultaneously.
- Technical curiosity and ability to quickly learn new technologies and ecosystems.
- Comfortable working in a fast-paced, high-growth environment.
NICE TO HAVE
- Familiarity with developer ecosystems, APIs, and modern software development practices.
- Knowledge of AI/ML infrastructure, model serving, and performance optimization concepts.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco, CA or Seattle, WA
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.
_______________________________________________________________________
Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance - so developers can focus on building incredible AI agents, not gluing together infrastructure.
The Gateway sits at the center of modern AI applications, offering:
- A model and tool routing layer with built-in security and cost optimization
- A familiar OpenAI-compatible interface and MCP server
- Unified observability and policy enforcement
- Auto-RAG, tool injection, session summarization, and more
We’re just getting started and we need exceptional engineers to help us build the backbone of the future of agent-based development.
WHAT YOU’LL DO
- Set technical direction for core systems powering the AI Gateway 0 the model router, MCP gateway, and control plane - and make sure architectural decisions hold up as usage scales by 10x
- Consistently identify gaps in our infrastructure, process, or tooling before they become blockers, and drive the fix from idea to production
- Take a significant, hands-on role in defining, delivering, and implementing the Gateway's technical strategy, in close partnership with engineering leadership
- Own the hardest, highest-ambiguity problems in the system: dynamic model selection, auto-failover, cost-based routing, and policy enforcement that has to work end-to-end
- Act as the go-to expert for secure credential storage, session summarization, caching, and rate limiting - the capabilities everything else depends on
- Build the infrastructure that lets us, and our customers, evaluate, replay, and backtest agent and LLM behavior with confidence
- Mentor senior and mid-level engineers, and raise the technical bar for the team through code, design review, and example
- Partner with product, design, and leadership to shape not just what the control plane UI does, but where the product goes next
KEY PROBLEMS YOU’LL HELP SOLVE
- Define the unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) that the rest of the org builds on
- Architect secure, scalable identity and credential vaulting for tool and model access, trusted enough to run at enterprise scale
- Build the infrastructure for real-time and historical analytics of AI agent behavior that leadership and customers both rely on
- Guarantee that policy enforcement and logging work end-to-end - from prompt to tool to response - with no gaps an auditor (or attacker) could find
- Set the bar for developer experience through intuitive APIs and first-class observability
WHO YOU ARE
Required Qualifications
- 8+ years of backend engineering experience, with a track record of owning production-grade systems at significant scale
- Deep specialization in distributed systems, cloud-native infrastructure, and API design - recognized by peers and cross-functional partners as a go-to expert, not just experienced
- Experience building secure, high-throughput services (gateways, proxies, load balancers, policy engines), and a history of making judgment calls other engineers rely on
- Fluency in Go and/or Rust
- A track record of identifying systemic gaps - in architecture, process, or tooling-— and driving the fix across team boundaries, not just within your own
- A strong product mindset, with real experience shaping technical direction rather than only executing against it
- Comfortable operating with wide latitude: given a problem and significant autonomy in how to solve it, including when and who to pull in
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
BONUS QUALIFICATIONS
- Prior experience with OpenAI, Anthropic, or similar LLM APIs
- Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI)
- Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways
- Understanding of OAuth 2.1, secret management, and cloud IAM systems
- Experience with Kubernetes, Docker, and microservices architecture
- A track record of setting technical standards that other teams or engineers went on to adopt
WHY JOIN US?
- Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software.
- Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications.
- Impact at scale: Your work will touch tens of thousands of developers building AI-first applications.
- Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking.
- Remote-first culture: Work from anywhere with a team that trusts and empowers you.
Docker considers sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $170,350 – $275,550 + equity
______________________________________________________________________
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.
______________________________________________________________________
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: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is hiring a Senior Lead, Women's Apparel Innovation & Design to serve as a key designer for WHOOP Body, shaping the future of premium technical performance apparel through innovative design, forward-thinking concepts, and a distinct fashion point of view. Reporting to the Associate Creative Director, Accessories & Apparel, you will develop next-generation women's apparel concepts that push boundaries and drive continuous innovation and newness into WHOOP Body. This is a highly creative, hands-on role for a designer who combines a sophisticated fashion sensibility with deep technical expertise, challenges conventional thinking, and translates ambitious ideas into compelling, commercially relevant products.
RESPONSIBILITIES:
- Develop forward-looking women's performance apparel concepts that push creative boundaries, define future design direction, and drive continuous innovation and newness into WHOOP Body.
- Explore emerging technologies, advanced textiles, innovative silhouettes, garment constructions, and manufacturing methods to identify breakthrough product opportunities.
- Translate emerging fashion, sport, and cultural trends into differentiated product concepts that challenge conventions and elevate the WHOOP Body assortment.
- Drive the design process from early concept through physical prototyping, including sketching, technical drawings, tech packs, fit development, and construction refinement.
- Collaborate directly with factories and development partners to explore new techniques, solve technical challenges, and bring innovative concepts to life.
- Drive the women's apparel design direction within external brand collaborations, ensuring WHOOP's design DNA remains at the forefront while thoughtfully integrating partner perspectives to create compelling, cohesive products.
- Partner with cross-functional teams to evolve advanced concepts into commercially viable products, communicating future design visions through compelling storytelling, presentations, and prototypes.
QUALIFICATIONS:
- 6+ years of experience in women's apparel design, preferably within premium technical performance apparel, activewear, or fashion-forward sportswear.
- Portfolio demonstrating exceptional creativity, innovative concept development, a distinct fashion point of view, and strong technical execution.
- Innovative mindset and challenger mentality, with the ability to think outside the box, question conventions, and push creative and technical boundaries.
- Deep technical expertise in women's apparel, including garment fit, construction, technical detailing, and performance fabrics.
- Proficiency in concept development, sketching, technical drawings, tech packs, and physical prototyping.
- Hands-on experience working with factories and manufacturing partners to develop samples, refine fit, and execute innovative garment constructions.
- Strong understanding of brand identity and design language, with the ability to collaborate effectively with external partners and balance multiple creative visions.
- Self-starter with exceptional visual communication and storytelling skills, capable of independently driving innovation projects while collaborating across functions.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work meets the same high-quality standards as personal contributions.
- Experience in textile development, technical knitwear, or seamless garment design and development.
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 $100,000 - $150,000. 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: Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As the Manager, Customer Success Engineers, you’ll lead a team of technical specialists who drive GitLab adoption and value realization at scale across the Americas. You’ll design and run scalable technical enablement programs that help customers unlock business outcomes from GitLab across source code management, CI/CD, DevSecOps, and Agile planning, while building repeatable frameworks to remove adoption barriers. Reporting to the Senior Director of Customer Success Managers, you’ll combine deep DevSecOps expertise with strategic program development, partnering closely with Sales, Renewals, and cross-functional teams to turn technical insights into commercial impact, reduce churn risk, and surface expansion opportunities. In your first year, you’ll be focused on establishing clear metrics for technical value, strengthening voice-of-the-customer feedback loops with Product and Engineering, and elevating the effectiveness and impact of the Customer Success Engineering team across a pooled book of business in the AMER region.
What you’ll do
Lead a distributed team of Customer Success Engineers in the Americas to drive GitLab adoption and technical value realization across a pooled book of business.
Develop and execute scalable technical enablement strategies and programs that help customers use GitLab for source code management, CI/CD, DevSecOps, and Agile planning.
Drive creation of repeatable frameworks and systematic solutions that remove adoption barriers and support measurable customer business outcomes.
Collaborate closely with Sales, Renewals, and Customer Success Managers to align technical enablement with commercial objectives, supporting retention and expansion across accounts.
Use data and performance indicators to assess program effectiveness, identify adoption trends, and adjust technical initiatives for greater impact at scale.
Mentor and coach team members to strengthen their DevSecOps expertise, customer engagement skills, and ability to translate technical capabilities into business value.
Champion the voice of the customer by translating field insights and technical pain points into actionable feedback for Product, Engineering, and other cross-functional teams.
Partner with internal stakeholders to ensure customer feedback, feature requests, and adoption insights inform roadmap priorities and improvements to the overall customer experience.
What you’ll bring
Strong understanding of DevSecOps practices, with the ability to connect GitLab capabilities across source code management, CI/CD, security, and Agile planning to tangible business outcomes.
Experience leading and developing technical teams in a distributed, remote environment, with a focus on customer outcomes and scalable impact.
Background in software development or engineering that enables you to guide technical conversations, remove adoption barriers, and design effective enablement paths.
Experience designing and implementing scalable customer success or technical enablement programs, using data to measure impact and refine approaches.
Ability to translate complex technical concepts into clear, outcome-focused messaging for both technical and non-technical stakeholders.
Proven skill in collaborating with Sales, Renewals, and other cross-functional teams to align technical adoption work with commercial objectives.
Comfort using customer insights and feedback to influence internal priorities, including product, process, and program decisions.
Openness to diverse backgrounds and transferable skills, with a growth mindset toward learning GitLab’s platform and evolving DevSecOps practices.
About the team
We're the Customer Success Engineering team within the broader Customer Success organization. We're a distributed, remote group that collaborates asynchronously across time zones, using GitLab and our handbook-first approach to coordinate work rather than relying on dedicated account assignments. This structure helps us deliver a consistent customer experience, quickly share learnings across accounts, and continuously improve how we support customers.
How GitLab will support you
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental leave
Home office
support
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$124,800
—
$210,600 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote, Australia; Remote, Singapore
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An Overview of the Role
As the Customer Advocacy Lead for APJ, you will celebrate our customers and spotlight their achievements, turning GitLab's most successful customers into visible, influential champions. You will identify and activate advocates and their stories that showcase customer outcomes, support pipeline and revenue goals, and deepen trust in GitLab across Asia Pacific and Japan.
Reporting into the growth marketing organization, you will own the day-to-day development and delivery of customer advocacy initiatives in close partnership with APJ sales, marketing, and global teams. You will build trusted customer relationships, identify stories and advocates, and connect the right customers to references, campaigns, events, and executive engagements. Because APJ spans diverse markets, cultures, and time zones, you will tailor engagement to local context while creating programs that scale and align with global priorities.
In your first year, you will establish clear, measurable advocacy goals for the region, strengthen collaboration with regional stakeholders, and increase the visibility of customer outcomes across go-to-market motions. This is an opportunity to bring the voice of APJ customers forward and demonstrate GitLab’s impact on their business.
Some Examples of Our Projects
Partnering with sales, pre-sales, and marketing to turn complex customer solutions into compelling narratives for campaigns, events, and executive engagements
Creating and executing customer references, case studies, speaking opportunities, and other advocacy activities and programs across APJ markets
What You’ll Do
Own the APJ customer story, reference and proof library, and associated pipeline.
Build and nurture relationships with customer advocates, including senior stakeholders, and identify opportunities for references, case studies, events, and thought leadership.
Manage the customer advocacy lifecycle: identify and recruit advocates, understand their goals, coordinate participation, and maintain mutually valuable relationships over time.
Bring the voice of the customer into GitLab’s narratives, campaigns, and go-to-market plans by working with internal stakeholders to develop and amplify customer stories.
Partner with regional and global sales, marketing, customer success, and product teams to align advocacy initiatives with pipeline, expansion, and retention priorities.
Define and track program measures, such as advocacy participation, reference fulfillment, pipeline influence, and customer-story impact.
Prioritize and coordinate advocacy requests that support strategic global and regional initiatives, using clear intake, fulfillment, and reporting processes.
Adapt engagement and storytelling approaches to APJ’s varied markets and customer contexts, working effectively across cultures and time zones.
Continuously improve programs, content formats, and engagement models using customer feedback, program data, and evolving business needs.
What You’ll Bring
Experience building or delivering customer advocacy, customer marketing, customer reference, or related customer story programs in enterprise technology or SaaS.
Strong history of creating impactful customer stories and proof, and an advanced understanding of the customer reference lifecycle.
A track record coordinating across multiple markets, with an understanding of the considerations involved in serving APJ customers.
Strong cross-functional collaboration skills and the ability to influence sales, marketing, customer success, and other stakeholders without relying on direct authority.
Excellent communication and relationship-building skills, including the ability to engage confidently with executive stakeholders on business and technical topics.
Strong program management skills: you can prioritize competing requests, coordinate details across teams, and deliver reliably in a changing environment.
Ability to work autonomously and asynchronously in a fully remote environment while staying aligned to shared goals and processes.
Comfort defining and reporting on program performance, including customer participation, reference support, pipeline influence, and other measures tied to regional objectives.
About the Team
The Customer Advocacy team at GitLab helps turn our most successful customers into visible, influential advocates who drive awareness, trust, and revenue. This team builds and manages strategic relationships with customers to surface their stories, amplify their impact, and bring the voice of the customer into everything we do.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Renton, Washington, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
This role does require three days a week in our Renton, WA office.
What You'll Do:
Collaborate with both the D&D studio team and D&D Beyond digital team to ensure visual consistency and innovation across platforms
Build captivating graphic design elements, style guides, and layout formats that uphold D&D's iconic aesthetic while optimizing for digital experiences across both owned IP and 3P partnership projects
Partner with D&D Beyond's Content Specialists and UI/UX team to inform design decisions and provide creative direction aligned with the D&D brand
Develop design style guides and systems that can flexibly adapt between print and digital formats
Build and maintain technical documentation for asset specifications, file organization, and workflow processes in collaboration with D&D production
Collaborate with engineering teams to optimize asset delivery and implementation
Serve as a design resource for asset optimization and delivery questions
What You'll Bring:
5+ years of professional graphic design experience, with shown expertise in both print and digital design
Familiarity with Dungeons & Dragons and fantasy art direction
Strong portfolio showcasing versatile design work across digital and print mediums
Proficiency in Adobe Creative Suite and relevant digital design tools
Solid knowledge of typography, color theory, layout design, and user experience (UX) principles
Understanding of technical requirements for digital asset optimization and delivery
Experience crafting and maintaining technical documentation
Excellent interpersonal skills and ability to collaborate across multiple teams
Strong understanding of responsive design and digital asset optimization
Experience working on 3p licensed products and navigating brand adherence for partner IP
Nice to Have:
Experience in gaming, entertainment, or publishing industries
Previous work involving print-to-digital adaptation
Experience with version control systems for design assets
Knowledge of build pipelines and asset management systems
Understanding of accessibility standards in digital design
Employment Details:
Please note that this is a temporary assignment through an external staffing agency. If you are selected for this assignment, you will be employed by Workwell as a W2 employee and will not be an employee of Wizards or Hasbro.
Employment Type: Temporary
Duration: 6 months with opportunity to extend up to one year
Location:
This is a hybrid role open to candidates whose work location is within commuting distance of Renton, WA.
In compliance with local law, we are disclosing the hourly pay range and benefits available for this role.
Hourly Pay Range: $45.00 - $55.00
Benefits for US: Workwell offers temporary workers located in the United States medical, dental, and vision coverage, as well as paid time off, holiday pay, a health savings account, an employee assistance program, a 401(k) retirement plan, and paid sick leave. Paid sick leave may vary by location.
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations.
Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are | Wizards of the Coast
We are committed to building an inclusive, welcoming workplace where everyone belongs. Hasbro is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran, or any other legally protected status.
If you have a disability and need reasonable accommodation during the application and hiring process, including support for the interview, please email your recruiter anytime throughout the process.
Please note that benefits listed below are for full time employees only, please refer to the benefits listed above for Contingent Workers payrolled through Workwell.
#Wizards
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$45
—
$55 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
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ГибридLondon
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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