Location: Home based - EMEA; Office Based - London, UK
We are hiring a
Global Payroll Manager
, ideally a candidate who thrives on building scalable systems, automating manual processes, and creating operational excellence in a high growth technology environment.
We are looking for a leader who combines deep payroll expertise with a systems oriented mindset. You should be passionate about process improvement, automation, and leveraging technology to increase accuracy, efficiency, transparency, and employee satisfaction. Experience supporting a remote, international workforce is highly valued, as is a genuine interest in the software and technology industry.
This is a management position which requires confidence in setting direction, driving excellence, managing priorities, developing team members, and communicating effectively with stakeholders across the business. As we continue to grow globally, you will play a key role in scaling our payroll infrastructure and raising the standard for operational excellence. This role will report to the Global Financial Controller.
Location:
This role is home-based in EMEA time zones, with the option to be based in our London office.
The role entails
Collaborate with HR, Accounting, Accounts Payable, Treasury, Financial Planning & Analysis, and external payroll providers to support payroll operations and compliance
Manage end-to-end payroll operations across different countries, ensuring accurate and timely payroll processing
Review, validate, and approve payrolls prior to final processing
Establish and maintain strong payroll controls to ensure data accuracy, compliance, and operational efficiency
Perform payroll and salary cost analyses, investigating and explaining variances
Ensure compliance with all applicable payroll tax, statutory, reporting, and employment-related requirements across jurisdictions
Serve as the primary point of contact for payroll-related audits, coordinating responses to internal and external audit requests
Monitor legislative and regulatory changes that may impact payroll processes, controls, or compliance obligations
Drive continuous improvement initiatives to enhance payroll accuracy, scalability, and the employee experience
Continue to develop, document, and maintain payroll policies, procedures, and internal controls
Maintain strong relationships with payroll vendors and service providers, ensuring service levels and deliverables are met
Incorporate industry best practices, emerging technology, including AI, to improve reporting quality, efficiency, and accuracy
Lead, mentor and coach a team of global payroll professionals
Ensure compliance with internal policies and regulatory requirements while identifying and managing compliance risks.
What we are looking for in you
An exceptional academic track record from both high school and university
An undergraduate degree in Accounting or Finance, or a compelling narrative about your alternative chosen path
Significant payroll experience supporting multi-country and/or global payroll operations
Strong knowledge of payroll compliance, taxation, and internal controls
Experience managing payroll audits and regulatory requirements
Proficiency with payroll systems, HRIS platforms, and spreadsheet-based analysis
Strong analytical, problem-solving, and reconciliation skills
Leadership and commitment to skills development and mentorship
The work ethic and confidence to shine alongside motivated colleagues
A track record of going above-and-beyond expectations
Professional written and spoken English with excellent presentation skills
Excellent interpersonal skills, curiosity, flexibility, and accountability
Appreciative of diversity, polite, and effective in a multi-cultural, multi-national organization
Thoughtfulness and self-motivation
Result-oriented, with a personal drive to meet commitments
Ability to travel internationally twice a year for company events up to two weeks long
In addition we expect that you will match our values, by being:
Precise, taking care to deliver correctness and clarity
Reliable, delivering high quality work that builds trust and confidence
Accessible, collaborating to build products and systems that are usable
Adroit, blending enthusiasm, knowledge, adaptability, style and character
Nice-to-have skills
Experience implementing or optimizing payroll platforms and HRIS systems
Payroll management experience in publicly traded or pre-IPO companies
A passion for technology and a desire to work with motivated colleagues
Experience supporting rapid expansion, including new country payroll launches
A passion for technology and a desire to work with motivated colleagues
MBA or other relevant business degree
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Bi-annual compensation review
Company recognition rewards
40 days annual leave per annum, including public holidays and our All Company holiday periods
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.
Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
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.
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See yourself at Twilio
Join the team as Twilio’s next Vendor Operations & Governance Specialist.
About the job
We are seeking a results-driven Vendor Operations & Governance Specialist to oversee and optimize our global vendor partnerships. In this role, you will serve as the direct operational bridge and governance link between Twilio and our partner sites ensuring third-party contact centers consistently exceed Service Level Agreements (SLAs), quality standards, and operational benchmarks.
Working alongside our Global Workforce Management (WFM) team, you will establish operational rigor, lead vendor performance reviews, and audit site operations. The ideal candidate is an analytical and influential leader capable of driving vendor accountability, mitigating operational risks, and translating vendor performance data into actionable strategic insights for senior leadership.
Responsibilities
In this role, you’ll:
Day-to-Day Vendor Operations & Performance
Own daily operational execution, Service Level Agreement (SLA) compliance, quality scores, and site performance across partner-managed queues.
Drive partner sites to exceed core operational metrics, including, productivity, Customer Satisfaction KPIs: CSAT/CES, Quality Assurance, and Average Handle Time (AHT).
Lead daily vendor huddles, intraday performance tracking, and weekly operational performance reviews (WBR).
Institute monthly Root Cause & Action Plan (RCAP) processes to eliminate operational bottlenecks and customer friction points.
Conduct bi-weekly cross-site calibration sessions with internal Quality and Training teams.
Vendor Relationship & Operational Governance
Serve as the primary operational point of contact for vendor leadership, establishing clear accountability routines.
Operationalize Twilio’s core values ("Wear the Customer’s Shoes") across partner sites through daily routines, coaching, and onboarding excellence.
Audit site culture, agent sentiment, and leadership-to-agent ratios to keep site attrition below target thresholds.
Partner closely with the WFM Manager to ensure headcount alignment, ramp execution, and interval coverage match operational needs.
Talent Pool & Pipeline Optimization
Evaluate and recommend optimal geographical talent pools and partner site profiles for operational scaling or re-allocation.
Collaborate with vendor recruitment teams to refine candidate profiles, ensuring alignment with API-driven support and complex technical workloads.
Partner with vendor sites to ensure comprehensive and consistent new-hire and multi-skill onboarding, including training readiness, execution and successful completion.
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:
5+ years in Vendor Site/Contact Center Operations:
Direct experience managing vendor relationships and multi-channel support operations (min. 100+ FTE footprint).
Operational Governance Focus:
Strong background in delivering results, site audit routines, performance scorecards, calibration routines, continuous improvement frameworks and structured governance routines (QBRs/MBRs/scorecards).
WFM & Cross-Functional Alignment:
Fluency in workforce management concepts (occupancy, shrinkage, schedule adherence) to effectively collaborate with the internal WFM team.
Domain & System Experience:
Background in developer-first or SaaS platforms, API-driven support workloads, and experience with systems like Zendesk, Twilio Flex, Looker, or Tableau.
Cross-Functional Process and Workflow Design:
Demonstrated ability to build operational excellence, SOPs, drive and influence standardization without direct authority, and communicate complex operational data to executive leadership.
Location
This role will be remotely located in the United States.
This role will be remote,
but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
*Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $116,960.00 - $146,200.00
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.
Application deadline information
Applications for this role are intended to be accepted until October 5th, 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: Los Angeles, California
Workplace: OnSite
Who We Are
X-LAB is the in-house performance bicycle line by XDS, which has quietly become the world’s largest and most vertically integrated bicycle manufacturer and the largest maker of carbon fiber frames, supplying many of the top brands in cycling and mobility.
Today, XDS is quiet no more.
XDS launched X-LAB in April 2026 as the global consumer brand to take the industry by storm. Three decades of experience building exceptional bicycles have culminated into a unique line of road, gravel, electric, city, hybrid, and soon mountain bikes that riders and shops can’t stop talking about.
X-LAB is the new inflection point for the category.
We launched in April 2026 with a full lineup across road, gravel, city, fitness, e-bike, and soon mountain categories, with validation from the highest and most demanding levels of the sport through the XDS Astana Team and a rapidly growing network of dealers.
Our ambition is not simply to sell more bikes. It is to make great bikes more integrated, more accessible, and better supported through the independent shops and communities that grow cycling and bring in new riders.
That is what makes this moment exciting.
Joining X-LAB means shaping a company with unmatched production scale, real engineering R&D depth, and the confidence to earn trust… one rider, one dealer, one product, and one market at a time.
Are you ready to ride ahead of the pack?
Learn more at https://xds.co/https://xlabbikes.com
See an insider’s look of our factory: Youtube Video https://www.youtube.com/watch?v=06SheO5XFsY
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About the role
X-LAB is seeking a customer-focused and technically minded Customer Service Agent to join our growing Support team. You’ll be a primary point of contact for riders and dealers, helping resolve questions about X-LAB bicycles, parts and accessories, warranties, orders,, and services.
This role combines customer service with technical troubleshooting across email, phone, and live chat. You will work closely with our Warranty, Warehouse, Product, Engineering, and Support teams to resolve customer issues and communicate recurring product feedback.
This position follows a Saturday-through-Wednesday hybrid schedule, with Thursdays and Fridays off.
What You’ll Do
- Provide professional customer and dealer support through Zendesk, phone, and website live chat.
- Assist with product questions, bicycle setup, technical troubleshooting, warranty inquiries, orders, returns, replacement parts, and product registration.
- Conduct inbound and outbound technical support calls with customers and dealers.
- Diagnose mechanical, electronic, and product-related issues using approved troubleshooting procedures.
- Collect relevant information, photos, videos, serial numbers, and troubleshooting results needed to evaluate support and warranty cases.
- Escalate technical, warranty, safety, and product-quality concerns to the appropriate internal teams while maintaining ownership of customer communication.
- Accurately document customer interactions, troubleshooting steps, decisions, and resolutions in Zendesk.
- Identify recurring product issues and report customer feedback to Product, Engineering, Warranty, and After-Sales teams.
- Contribute to Support Center articles, FAQs, troubleshooting guides, templates, and internal knowledge resources.
- Meet established service-level expectations, including first-response and resolution targets.
- Provide dependable weekend coverage during the assigned Saturday through Wednesday and occasional holiday schedule.
You’re a Great Fit With:
- 2+ years of experience in customer service, technical support, or a related customer-facing role.
- Excellent written and verbal communication skills with strong troubleshooting and problem-solving abilities.
- Experience using Zendesk or other customer support platforms.
- Being able to work in a Saturday - Wednesday schedule (hybrid)
- Strong experience handling customer conversations over email, live chat, and phone.
You’re a Spectacular Fit With:
- Previous experience working in the bicycle industry, bike retail, or technical bicycle support.
- Passion for cycling with strong knowledge of bicycle components, assembly, maintenance, and troubleshooting.
- Experience supporting e-bikes, electronic shifting systems, or bicycle warranty programs.
Success Metrics
- Achieving a 2-hour first-response rate of 90% or higher during business hours.
- Achieving a 48-hour resolution rate of 90% or higher for standard customer inquiries and support cases.
- Maintaining strong Customer Satisfaction scores through professional, accurate, and empathetic support.
- Accurately documenting customer interactions, troubleshooting findings, and resolutions in Zendesk.
- Escalating urgent technical, safety, warranty, and product-quality issues promptly.
- Identifying recurring product trends and providing actionable feedback to internal teams.
- Contributing to continuous improvements in support documentation, troubleshooting processes, and the X-LAB Support Center.
_____________________________________________________
Our Compensation and Benefits
- Competitive hourly pay
- Generous time off policy
- Hybrid-remote work with recurring visits to our office space in beautiful Santa Monica, California
Equal Opportunity
XDS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
As a Principal Solutions Engineer, Acceleration, you’ll help define how 1Password brings emerging technologies to market. Working across Product Management, Product Marketing, Enablement, Engineering, Sales, Customer Success, and strategic customers, you’ll validate new capabilities, shape product direction through field feedback, and turn what works into repeatable customer-facing motions.
Your work will help customers adopt innovations that strengthen secure access for people, machines, and artificial intelligence (AI) agents while advancing 1Password’s mission to make secure access simpler. Reporting to the Vice President, Global Solutions Engineering, this remote role is open to candidates in the United States or Canada and may involve up to 30% travel.
How we’re using AI today
Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here.
This is a remote opportunity within Canada and the US.
Note: All go-to market roles will have an in-person onboarding in Toronto.
What we're looking for:
- 8+ years of experience in customer-facing technical roles within enterprise Business-to-Business Software as a Service (B2B SaaS), including leading initiatives beyond an individual sales territory.
- A track record of translating emerging technologies into customer value, repeatable field motions, and clear recommendations that shape product or go-to-market direction.
- Experience partnering effectively with Product Management, Engineering, Product Marketing, and other cross-functional teams to validate capabilities and incorporate customer feedback.
- Strong executive communication, storytelling, and presentation skills, with the ability to influence audiences ranging from technical practitioners to senior executives, analysts, and strategic partners.
- Deep knowledge of modern identity architectures and developer or AI-powered workflows, including Open Authorization (OAuth), OpenID Connect (OIDC), System for Cross-domain Identity Management (SCIM), application programming interfaces (APIs), Model Context Protocol (MCP), continuous integration and continuous delivery (CI/CD), infrastructure automation, AI agents, and modern cloud platforms.
- Experience with Metrics, Economic Buyer, Decision Criteria, Decision Process, Paper Process, Identify Pain, Champion, and Competition (MEDDPICC), or a similar enterprise sales methodology, along with the ability to work autonomously and influence without direct authority.
Bonus points for:
- Experience with private previews, beta programs, or early-stage products; technical enablement and customer-facing content; or domains such as Artificial Intelligence Security (AI Security), Developer Security, Privileged Access, Software as a Service (SaaS) Manager, or Unified Access Management is preferred.
- A track record of public speaking, technical writing, podcasts, analyst engagements, or other forms of technical thought leadership is also valued.
What you can expect:
- Lead technical validation for emerging products, strategic initiatives, and incubating technologies from early development through general availability.
- Partner with Product Management, Product Marketing, and Engineering to shape product direction and turn field feedback into actionable recommendations.
- Build repeatable discovery frameworks, demonstrations, technical messaging, reference architectures, and implementation guidance for the global Solutions Engineering organization.
- Design and deliver technical enablement, including workshops, labs, certifications, and playbooks that help Solutions Engineers confidently support new capabilities.
- Lead strategic customer engagements, private previews, beta programs, and early-adopter initiatives, providing executive-level technical guidance and influencing customer outcomes.
- Identify emerging market opportunities and represent 1Password through executive briefings, conferences, webinars, podcasts, customer events, and industry content.
- Mentor Solutions Engineers and lead cross-functional initiatives that accelerate adoption, strengthen technical excellence, and scale what works across the organization.
USA-based roles only: The annual base salary for this role is between $171,000 USD and $248,000 USD, and is commission-eligible. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $170,000 CAD and $247,000 CAD, and is commission-eligible. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to work
We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement.
For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average.
Note: All go-to market roles will have an in-person onboarding in Toronto.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: New York, New York, United States
About the Role
iCapital is looking to hire an Analyst to join the Structured Investments team to focus on sales support. This position will work cross-functionally and closely with bank issuers and clients.
Responsibilities
Conduct calls to set appointments for licensed sales professionals.
Learn iCapital products and prepare to effectively communicate the objectives, risks, features, and benefits of these products.
Analyze regional and product sales trends within participating broker-dealer firms and among individual Financial Advisors.
Make 50+ outbound calls per day.
Learn financial markets and portfolio strategies.
Assist senior sales professionals within assigned territory.
Effectively partner with the external wholesaler and the regional distribution team.
Utilize contact management systems to capture information and schedule follow up activities.
Prepare for and pass necessary licenses.
Qualifications
Bachelor's degree is required
0-2 years of relevant experience
Sales and client service experience, within the financial services industry is a plus
Excellent relationship, follow-up, and communication skills
General knowledge of the financial services industry
Motivated, mature, trustworthy, and a team player
Highly organized and able to prioritize in a fast-paced environment
Knowledge of private markets, structured products, and options is a plus
Series 7, 63 and SIE (FINRA) licenses or candidate must obtain licenses within 4 months of hire date
Benefits
The base salary range for this role is $60,000 to $65,000. This position is paid on an hourly basis and is classified as non-exempt. Employees in this role are eligible for overtime pay in accordance with applicable law. iCapital offers a compensation package that includes equity for all full-time employees and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer-matched retirement plan, generously subsidized healthcare with 100% employer-paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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THE ROLE
We are looking for an experienced Partner Sales Manager, Mid-Enterprise to drive partner-led growth across Docker’s Mid-Enterprise business.
The primary focus of this role will be generating pipeline for Docker’s AI Governance solution. Working closely with Docker’s Mid-Enterprise sales organization and priority channel partners, you will develop scalable sales plays, activate joint campaigns, and advance partner-sourced and partner-influenced opportunities from identification through close.
You will own a partner revenue target focused on pipeline and ARR, transforming successful partner engagements into repeatable programs that expand market coverage and scale across sellers, partners, and regions.
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RESPONSIBILITIES
Partner Strategy & Execution
- Develop and execute a Mid-Enterprise partner plan aligned with Docker’s go-to-market strategy and revenue goals.
- Prioritize the partners, markets, and use cases with the greatest potential to generate pipeline at scale.
- Build strong relationships with priority resellers, solution providers, and distributors.
- Establish clear operating cadences covering joint planning, pipeline, forecasting, enablement, and performance.
Scalable Partner-Led Growth
- Create repeatable partner sales plays that drive account engagement and qualified pipeline.
- Lead account mapping and prioritization with partners and Docker sales teams.
- Activate joint campaigns, events, workshops, and outbound programs with Partner Marketing and Demand Generation.
- Build the playbooks, messaging, training, and engagement workflows required for consistent execution.
- Measure and refine programs based on adoption, conversion, pipeline contribution, and revenue.
Pipeline & Co-Sell Execution
- Own partner-sourced and partner-influenced pipeline generation and ARR.
- Connect partners with Docker sellers and drive joint opportunities through qualification, progression, and close.
- Maintain regular pipeline and forecast reviews with priority partners and sales leadership.
- Identify risks, remove blockers, and implement actions that improve conversion and deal velocity.
- Ensure partner activity is connected to measurable commercial outcomes.
AI Governance & Solution Positioning
- Enable partners to position Docker as trusted infrastructure for secure and governed AI-assisted software development.
- Translate Docker’s AI governance strategy into practical customer use cases and repeatable partner conversations.
- Identify segments and opportunities where AI adoption, governance, or software supply-chain security create customer urgency.
- Partner with Product Marketing and technical teams to develop sales plays, workshops, and enablement assets.
Cross-Functional Collaboration
- Partner closely with Sales, Marketing, Solutions Engineering, Customer Success, and Revenue Operations.
- Align direct sellers and partners around target accounts, opportunities, and clear rules of engagement.
- Increase field adoption by making partner programs simple, relevant, and valuable to sellers.
- Bring partner and market feedback into Docker’s go-to-market planning.
_______________________________________________________________________
QUALIFICATIONS
- 10+ years of enterprise sales, channel sales, alliances, or partner management experience in B2B technology.
- Proven success generating pipeline and revenue through resellers, solution providers, VARs, or distributors.
- Experience building scalable partner sales plays and joint demand-generation programs.
- Strong pipeline management, forecasting, account-mapping, and co-sell experience.
- Track record of aligning direct sellers and partners around shared revenue goals.
- Experience in developer tools, DevOps, cloud infrastructure, cybersecurity, or AI technology is preferred.
- Bachelor’s degree or equivalent professional experience.
SKILLS & COMPETENCIES
- Outcome-driven, with a strong focus on pipeline, revenue, and customer growth.
- Able to turn successful partner engagements into repeatable, scalable programs.
- Commercially rigorous and comfortable owning targets, forecasts, and performance reviews.
- Strong field operator who can earn seller trust and move opportunities forward.
- Skilled cross-functional collaborator across sales, marketing, technical teams, and partners.
- Clear communicator who can translate Docker’s platform and AI governance strategy into customer value.
- Data-driven and able to focus investment on the partners and programs producing the strongest results.
KEY PERFORMANCE INDICATORS
- Partner-sourced and partner-influenced pipeline and ARR
- Pipeline coverage and forecast accuracy
- Adoption and performance of repeatable partner plays
- Active pipeline-generating partners
- Seller participation in partner programs
- Opportunity conversion, win rate, and deal velocity
_______________________________________________________________________
WHAT TO EXPECT
First 30 Days – Orientation & Foundation
- Complete onboarding across Docker’s sales motions, tools, and processes
- Learn Docker’s partner model and key partner segments (distributors, resellers, VARs, cloud marketplaces)
- Build relationships with internal stakeholders and priority regional partners
- Develop a high-level regional reseller strategy and engagement plan
First 60 Days – Partner Cadence & Planning
- Establish structured engagement and joint planning with top partners
- Align on partner performance metrics, pipeline expectations, and enablement priorities
- Collaborate with Marketing on a regional partner demand-generation plan
- Align pipeline development strategies with regional sales leadership
First 90 Days – Execution & Momentum
- Launch initial joint sales and marketing initiatives with reseller partners
- Drive partner enablement and define clear co-sell and deal engagement workflows
- Begin tracking early performance indicators for partner-sourced and partner-influenced pipeline
ONE-YEAR OUTLOOK
- Build durable, high-value relationships with strategic and regional reseller partners
- Drive measurable growth in partner-sourced pipeline, net new ARR, and renewals
- Expand Docker’s regional coverage and market penetration through partner-led GTM
- Continuously refine the reseller engagement model based on performance, feedback, and market trends
Visa sponsorship: Not available for this role.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $175K – $250K OTE
______________________________________________________________________
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: Remote, USA
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Position Summary:
The Market Insights Manager is an individual contributor responsible for executing the market research and competitive intelligence that informs PointClickCare’s product, marketing, and go-to-market decisions. This role maintains continuous competitive monitoring, builds competitor profiles and market trend analyses, and produces the reports, dashboards, and presentation materials that carry findings to cross-functional partners and contribute to leadership readouts.
This role also independently designs and runs standard qualitative studies — in-depth interviews — and supports the design and analysis of quantitative studies such as surveys, MaxDiff, and pricing research.
Success in this role requires analytical rigor, methodological curiosity, clear written and verbal communication, and the organization to manage several concurrent projects.
Key Responsibilities:
Foster a Customer-Centric Culture:
Advocate for a customer-focused approach throughout the organization by promoting the voice of the customer and enhancing primary research capabilities.
Execute Research Projects:
Assist in designing, implementing, and managing market research studies utilizing qualitative and quantitative methods, such as surveys and focus groups, to gather insights on customer needs, market trends, and competitive activity.
Methodology Development:
Contribute to the development and refinement of research methodologies and best practices to enhance the quality and effectiveness of research efforts.
Data Collection and Analysis:
Gather, organize, and analyze data from various sources, including qualitative interviews, discussions, surveys, and industry publications, using both basic and advanced tools like Excel, SPSS, or AI-based solutions.
Reporting and Insights:
Create reports, dashboards, and presentations that clearly communicate findings and actionable insights to internal teams and stakeholders, aiding in marketing and product strategy decisions.
Presentation Skills:
Deliver findings and recommendations to senior leadership and stakeholders through engaging presentations.
Quality Assurance:
Maintain data accuracy and integrity by overseeing research administration, paying close attention to detail, and properly managing confidential or regulated information.
Support Senior Staff:
Provide logistical and analytical assistance to senior research or insights managers by conducting background research, drafting survey and discussion guides, and more.
Project Management:
Oversee project timelines, document research processes, assist with scheduling, and maintain organized research files.
Innovation and Trends:
Stay updated on emerging research technologies and methodologies to innovate research practices and enhance the quality of insights.
Required Skills & Qualifications:
5 years hands-on experience within the market research industry, collecting and analyzing data, reporting and presenting findings within the healthcare industry
Advanced analytical skills, including experience with statistical modeling and ability to integrate disparate data sources
Advanced storytelling and presentation skills; ability to translate complex concepts and methodologies into easily understood language
Expertise with Excel, PowerPoint, PowerBI, and AI solutions
Highly motivated, results-driven person, who works effectively in a collaborative, fast-paced environment
Bachelors or advanced degree in business, mathematics, or the sciences
Should have understanding of conjoint, Max Diff, price elasticity, concept testing, and other such research types.
Should have experience managing complex market research studies such as brand health and brand equity trackers
Preferred Experience:
Has a deep understanding of the healthcare industry/sector including experience with LTPAC, Acute and/or Payer audiences.
Previous experience working successfully in a SaaS organization
Experience with a wide array of new product, brand, advertising and customer segmentation research methodologies
#LI-TW1
#LI-Remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $102,000 - $114,000 + bonus + benefits, non-overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
Location: Toronto, Ontario
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
🚀 THE ADVENTURE AHEAD
As our Technical Product Manager for Platform & Integrations, you are the architect of Docebo’s extensibility, transforming our ecosystem into a developer’s playground. Your mission is to bridge the gap between complex engineering infrastructure and tangible business value, ensuring our REST APIs, webhooks, and Connect tools are world-class. By scanning the horizon for emerging standards and defining opinionated interoperability patterns, you will empower global enterprises to build seamless, high-impact integrations that define the future of learning technology.
🛠️ THE DAY-TO-DAY
- API and Platform Strategy: Own Docebo’s external API roadmap, from schema design principles and versioning policies to championing patterns that ensure long-term, scalable extensibility.
- Connect and Integration Tooling: Lead the Docebo Connect (Workato IPaaS OEM) product vision by managing the low-code workflow builder and blueprint library, while evaluating high-value partner contribution programs.
- Developer Experience: Obsess over the end-to-end developer journey, tracking DX metrics and conducting deep-dive research to eliminate friction before it ever turns into churn.
- Measure the Impact: Define the "North Star" for platform success by building dashboards that track API adoption, integration attach rates, and direct revenue contribution for executive stakeholders.
- Navigate the Tech: Conduct high-level technical research on iPaaS and integration standards to make "build-buy-partner" recommendations that keep us ahead of the competition.
- Field Enablement and GTM: Partner with Marketing and Sales to translate technical capabilities into winning GTM strategies, acting as the technical authority in high-stakes enterprise deal cycles.
- Govern the Ecosystem: Establish the gold standard for how partners build on Docebo, publishing comprehensive integration guides that ensure security, reliability, and commercial viability.
⚡ YOUR SUPERPOWERS
- Speak Fluent API: You can design a REST API and write an OpenAPI spec in your sleep, confidently debating webhook reliability and event-driven sync with our engineering leads.
- Decode the Codebase: You are comfortable diving into production code to trace API calls or review pull requests, understanding exactly how implementation choices impact the product's future.
- Think Like a Platform: You possess strong, well-reasoned opinions on what "good" design looks like and aren't afraid to defend your vision to both developers and the C-suite.
- Data-Driven Intuition: You define success metrics before a single line of code is written, using platform health data to influence high-level prioritization and investment.
- Developer Empathy: Having built with APIs yourself, you view documentation gaps as personal challenges and treat developer friction points as high-priority product bugs.
- Proven Experience: You bring 4+ years of B2B SaaS Product Management experience, specifically focused on APIs, SDKs, or iPaaS, ideally with a background in software engineering or solutions architecture.
- Integration Expertise: You have a deep mastery of OAuth 2.0, SAML, SCIM, and middleware categories, with a proven track record of connecting platform health to commercial outcomes.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
As a Security Scientist, you will leverage your data analysis skills and help identify and drive impactful projects to improve the safety and security of Figma's product, platform, and our IT systems. The mission of the Figma Security team is to help Figmates ship the most secure and safe product to our users. We are looking for security scientists with a strong grasp of security and anti-abuse fundamentals. You will partner closely with teams in Security Engineering as well as teams across the company to focus on systemic security and safety improvements and risk reduction. You will also apply your security expertise and analytical skills to support and participate in security design reviews and consulting, incident response, and risk management.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Collaborate cross-functionally across the company to understand existing security and anti-abuse problems and work with engineering, product, data science, and other teams on solutions
Understand attacker and user behavior on the Figma platform and inside Figma through creation of new datasets, metrics, experimentation, etc., and guide strategy and decision making
Build detections, tune signal quality, and measure coverage across Figma's products, platforms, and internal systems, turning attacker behavior into durable, data-driven detections
Lead and support security investigations, developing the datasets, tooling, and analysis that help us scope incidents, understand root cause, and reduce time to detect and respond
Translate threat intelligence into action, operationalizing intel on relevant threat actors and techniques to prioritize detection coverage, harden high-risk surfaces, and guide security strategy
Conduct investigations and design reviews to identify current and new attack vectors against Figma products and services
Advocate for security and secure practices throughout Figma
We'd love to hear from you if you have:
Strong understanding of real-world security, anti-abuse, and detection and response challenges
Fluency in SQL, with proficiency in Python, R, or a similar scripting language
Experience working with distributed data processing systems and frameworks such as Hive, Redshift, Presto, Snowflake, or Spark
Strong knowledge of statistical methods and experimental design
Excellent judgment and creative problem-solving skills
While it's not required, it's an added plus if you also have:
A self-starting mindset along with strong communication and collaboration skills
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$140,000
—
$348,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
Location: Hiring in San Francisco, New York City, Austin and Chicago
We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.
This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.
How to be successful in this role:
- 4+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
- Strong track record of sourcing, qualifying, and closing outbound deals
- Execution mindset: you excel in fast-paced environments and move with urgency
- Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.
- Self-starter and resourceful; you find ways to solve problems and move things forward
Compensation & Benefits:
- Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, life insurance, lunch & dinner for employees in our SF and NYC offices, and more
- Annual salary: $280,000 OTE
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
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:
The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML based safety systems. We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch. And we build for scale: serving thousands of ML classifiers, for all requests on the token generation path, and for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond.
We’re growing the team and looking for engineers who have deep expertise in productionizing ML systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. And your tooling and infrastructure will be used for every model launch, which are becoming more complex, and more frequent.
Responsibilities:
Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem
Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications
Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems
Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards
Implement automated testing, deployment, and rollback systems for ML models in production safety applications
Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs
Contribute to the development of internal tools and frameworks that accelerate safety research and deployment
You may be a good fit if you:
Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX
Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads
Have built automated or self-service deployment pipelines and eval infrastructure allowing researchers to roll out classifiers and models independently
Have implemented A/B testing frameworks and experimentation infrastructure for ML systems
Are results-oriented, with a bias towards reliability and impact in safety-critical systems
Enjoy collaborating with researchers and translating cutting-edge research into production systems
Care deeply about AI safety and the societal impacts of your work
Strong candidates may also have experience with:
Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment
Working with large language models and modern transformer architectures
Developing monitoring and alerting systems for ML model performance and data drift
Experience in trust & safety, fraud prevention, or content moderation domains
Knowledge of privacy-preserving ML techniques 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:
$320,000
—
$485,000 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:
The Safeguards ML Sampling Path team builds and operates the production services that power Claude's safety systems. These services sit on the token generation path across every platform Claude runs on: every request must pass through them, and each millisecond of added latency is wait time for our users. You’ll keep p99 latency flat as traffic grows, build for robustness as dependencies time out or partially fail, and ship changes safely to a system that cannot go down.
What you'll do:
Design, build, and operate the backend systems that process every token on the generation path for Claude requests, including the streaming contract with the API and inference engines.
Own latency and reliability end to end: define and maintain SLOs and error budgets for added latency, time-to-first-token, and availability, and lead incident response and postmortem follow-through.
Ship changes to the hot path rapidly but safely — canaried and gradual rollouts, error budget and latency gating, fast rollbacks — and drive per-token performance: chase tail latency and keep cost flat as traffic, models, and checks per request grow.
Set technical direction for the sampling path: lead design reviews, make latency, reliability, and cost trade-off calls with the inference and research teams, mentor engineers, and raise the operational bar for the wider Safeguards organization.
You may be a good fit if you:
Have designed, built, and operated high QPS systems at global scale, and were accountable for them in production: incident response, outages, and postmortem-driven remediation.
Have a strong foundation in distributed systems: replication, consistency tradeoffs, failure modes, and SLO management under load.
Design systems for graceful degradation: you plan for a slow dependency, a dropped stream, or a half-rolled-out deploy before it happens, and build so the system degrades predictably instead of failing.
Have successfully shipped broad or all-encompassing changes to mission critical systems (e.g., database migrations, interface changes, rewrites).
Strong candidates may also have:
8+ years of industry software engineering experience.
Familiarity with LLM inference systems and transformer-based models (not required, but a plus).
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 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, Canada; 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 a Senior or Staff Backend Engineer with the
Database Excellence group
, you'll build and evolve database automation and PostgreSQL as a service capabilities for GitLab. The level will be determined during the hiring process. You'll use Go to automate the full lifecycle of PostgreSQL across GitLab's infrastructure, making database operations safer, more consistent, and easier to scale for databases that sit behind high-throughput, always-on internet services. You'll work closely with partner teams to shape how GitLab provisions and manages PostgreSQL in a fully remote, highly collaborative environment.
Some examples of our projects:
SQL Traffic Replay Tooling
, which validates upgrades and changes against real production workloads.
PostgreSQL as a Service Platform
, which provides standardized, automated provisioning and lifecycle management for internal product databases.
PostgreSQL Major Version Upgrade Automation
, which supports safe, repeatable major upgrades at GitLab.com scale.
What you’ll do
Design, build, and maintain Go-based automation that manages the full PostgreSQL lifecycle, including provisioning, configuration, upgrades, failover, scaling, and decommissioning, reducing reactive operational work that currently takes more than 80% of the team's time.
Build automation that works across infrastructure-as-code tooling and cloud infrastructure, and evaluate operator-based approaches as the platform evolves.
Use AI agents as a regular part of building and operating services, including implementation, review, and reducing repetitive work, while keeping the context agents need in the repository so the whole team can build on it.
Build for internet scale by designing automation and services for high-throughput, always-on production workloads, where GitLab.com traffic sets the bar for correctness, latency, and availability.
Integrate compute, storage, networking, identity and access management, and managed data services across cloud providers into one coherent PostgreSQL platform instead of creating bespoke setups for each database.
Build GitLab's PostgreSQL as a service platform to replace bespoke database setups with standardized, automated provisioning and lifecycle management, so supporting more databases doesn't require growing the operations team at the same rate.
Collaborate closely with product management, infrastructure, software delivery, and other engineering teams to design and ship high-performing solutions.
Research, design, and implement improvements to PostgreSQL performance, scalability, and data health, helping maintain more than 8 months of operational runway for all critical database saturation points.
Review database automation and Go changes from other engineers and contributors, with attention to safety, maintainability, and performance.
Document automation practices, PostgreSQL operational patterns, and guidance that helps engineers use and contribute to the platform.
Build safe, repeatable automation for PostgreSQL major version upgrades at GitLab.com scale, validating changes against real production traffic before rollout.
Operate what you build in production from end to end, using production feedback to guide each iteration.
What you’ll bring
Professional software engineering experience working with PostgreSQL in large, complex production environments, including experience building or operating a database-as-a-service product.
Proficiency with Go, including designing, implementing, testing, and reviewing backend services.
Experience developing Kubernetes operators, controllers, or similar automation for the lifecycle of stateful services, especially databases. Kubernetes experience is one way to demonstrate this skill, but isn't required; comparable experience building database or infrastructure automation is welcome.
Comfort with infrastructure as code and core database operations concepts such as high availability, replication, backups, and system-level performance trade-offs.
Familiarity with Ruby is a plus but isn't required. Much of GitLab's application codebase uses Ruby on Rails, and being able to read it helps when designing automation that application teams depend on. We’ll expect you to become comfortable with it on the job, not on day one.
Strong written communication skills and comfort working asynchronously in an all-remote, distributed team.
Self-directed work style with effective organizational skills, the ability to manage priorities as a "manager of one," and alignment with GitLab's values of transparency, collaboration, inclusion, and open source contribution, as well as its
operating principles
.
Ownership of the technical direction for a major initiative such as the PostgreSQL as a service platform, turning an ambiguous problem into an architecture and a sequenced plan that several engineers can execute in parallel.
Influence beyond the team, setting the patterns other engineers follow, partnering with sibling database, infrastructure, and platform teams, and growing engineers through design reviews and mentorship.
About the team
The
Database Excellence group
keeps GitLab’s databases running reliably through proactive health management, operational excellence, and strategic enablement. We maintain operational runway by identifying and addressing saturation points, operate infrastructure through automated and scalable processes, and provide tools and frameworks that help teams build features sustainably. Our primary focus is GitLab.com, and we're expanding our scope to provide database health frameworks and tooling that benefit self-managed customers as well.
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
$152,800
—
$259,200 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: New York
Workplace: Hybrid
ABOUT MORPHO
Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.
WHY MORPHO EXISTS
Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/.
LOCATION
This role is Hybrid - New York.
ROLE
Morpho's largest enterprise partners are live integrations with significant untapped growth potential. This role embeds inside a flagship partner organization, builds relationships from PMs to executives, and inserts Morpho into the partner's product roadmap. Success is measured on revenue and active loans generated by the account.
RESPONSIBILITIES
- Own relationship management for a flagship enterprise partner, building relationships with PMs, executives, and teams across the organization to grow the account and protect it from churn
- Run a recurring meeting cadence with the partner's product teams, including quarterly reviews with executives, to align objectives and keep joint priorities moving
- Make the commercial and product case to PMs that integrating loans grows their revenue, improves their product, and benefits their users, so Morpho earns a place on their roadmap
- Track product data to identify growth levers, such as rolling products out to new jurisdictions or running activation campaigns, and turn them into quantified expansion plays
- Map the incentives of the different players inside the partner organization and use that understanding to unlock decisions
- Spend consistent in-person time with the partner's teams in New York so relationships run deep across the organization, not through a single contact
WHAT SUCCESS LOOKS LIKE
FIRST 30 DAYS
Fully onboarded on a flagship account: you understand the current integration, its performance data, and the history of the relationship, and you have mapped the organization, its decision makers, and their incentives. You have met the key PMs in person and established yourself as Morpho's primary point of contact.
FIRST 3 MONTHS
You have drafted a full account strategy with the CEO: growth thesis, expansion opportunities across existing and new products, blockers, and a 12-month roadmap. A recurring cadence is running with the partner's product teams, and you have identified 2-3 quantified expansion plays and begun pitching them to the relevant PMs.
FIRST 6 MONTHS
Morpho features on the partner's product roadmap, with at least one expansion play committed or shipped and measurable growth in revenue and active loans against your starting baseline. Executive relationships are established, quarterly reviews run as standard cadence, and you are trusted internally as the voice of the account.
MUST HAVE SKILLS & EXPERIENCE
- Experience navigating and selling into large organizations, for example through a top-tier consulting background or an enterprise-facing operating role
- Strong relationship builder across levels, from PMs to executives
- Product-minded: able to insert yourself into a roadmap and argue the commercial and product case for integrating loans
- Data-driven: comfortable tracking product metrics and spotting expansion opportunities like new jurisdictions or activation campaigns
- Crypto native: credible in front of PMs at major crypto and fintech platforms
- Comfort operating in fast-changing, ambiguous contexts
- Strong ownership and autonomy: doesn't wait to be told
- Clear and crisp async communication
- Team-first mindset, low ego
PERKS & BENEFITS
We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.
EQUAL OPPORTUNITY
We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO:
- Drive partner activation through onboarding, enablement, certification, governance, and operational support programs that help product, strategic, and channel partners become productive quickly.
- Build and continuously improve the systems, playbooks, processes, and partner-facing resources that enable Sierra’s partnership ecosystem to scale, including onboarding guides, enablement content, FAQs, and operational documentation.
- Coordinate cross-functional execution across Product, Engineering, Sales, Solutions Engineering, Customer Success, Marketing, Legal, GTM Operations, and Partnerships to support product launches, technology integrations, joint GTM programs, co-sell motions, and strategic initiatives.
- Plan and execute ongoing partner engagement and governance, including enablement sessions, webinars, QBRs, executive business reviews, newsletters, office hours, partner events, and ongoing partnership management.
- Build reporting and use data to improve partnership health, tracking partner activation, engagement, pipeline contribution, partner-influenced revenue, and overall performance while identifying friction and continuously improving how Sierra launches, activates, and scales partnerships.
WHAT YOU'LL BRING:
- 6+ years of experience in partnership management, partner programs, partner success, ecosystem operations, program management, or a related function within an enterprise SaaS company.
- Experience launching, activating, and scaling strategic partnerships, including partner onboarding, enablement, certification, joint GTM execution, technology launches, and ongoing partner success.
- Strong cross-functional operator with experience influencing Product, Engineering, GTM, Customer Success, Marketing, Legal, and external partners without direct authority, and exceptional organizational, communication, analytical, and project management skills.
- Comfortable with APIs, integrations, and technical product concepts, with the ability to collaborate closely with technical teams without needing to be an engineer.
- Fluent with modern AI tools and workflows, actively using AI to improve your work and understanding how AI is changing enterprise software, customer engagement, and partnership models; thrives in ambiguity and enjoys turning strategy into repeatable execution.
EVEN BETTER...
- Experience supporting and scaling strategic partnership programs across product and technology partnerships, cloud ecosystems, systems integrators, strategic alliances, or channel networks, ideally in a high-growth global environment.
- Experience working across enterprise software ecosystems and partners such as AWS, Google Cloud, Microsoft, Salesforce, ServiceNow, Stripe, Twilio, Snowflake, Databricks, or large global systems integrators, with familiarity across PRM, CRM, partner enablement, learning management, and collaboration platforms.
- Technical and AI ecosystem experience, including AI platforms, developer tools, or enterprise software, with prior software development, solutions engineering, or technical implementation experience a plus.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an execution-focused and visionary Data Engineering Manager to lead our Data Platform Team. In this critical role, you will manage a team of talented engineers dedicated to building the common, reusable abstractions and high-throughput data infrastructure that power Garner’s internal and external applications. You will champion an AI-native development philosophy and scale our data pipeline capabilities, ensuring our systems seamlessly support the heavy computational demands of our next phase of company-wide growth.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Lead and manage the Data Platform Engineering team, owning the end-to-end design, implementation, and operational excellence of systems that process complex healthcare data
Provide high-quality technical contributions and architectural guidance, establishing robust standards for data modeling, processing, and system maintainability
Build and optimize common data abstractions, pipelines, and frameworks designed for high scalability, ensuring our platform keeps pace with exponential enterprise data growth
Translate complex, ambiguous business and data requirements into well-scoped, accurately estimated, and composable architectural pieces
Foster and drive an AI-native engineering culture within the team, integrating cutting-edge AI tools and integrations to enhance development workflows and automate data operations
Manage and grow stakeholder relationships across Engineering and Product, aligning team priorities with departmental OKRs and broader business goals
Mentor, coach, and guide your team members, conducting detailed design reviews and managing robust Root Cause Analyses (RCA) to continuously elevate technical rigor
The ideal candidate has:
5+ years of hands-on engineering experience, with a focus on Big Data and distributed system and infrastructure
2+ years of managing engineering teams, with a track record of building and mentoring high performing teams
Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc.
Experience with stream processing systems such as Kafka and RedPanda
Proficiency with technologies such as Temporal, Apache iceberg, AWS glue, Spark, DBT, and Soda
Exhibits strong ownership and a proactive mindset, with a proven ability to translate complex business needs into scalable, actionable technical roadmaps
Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success
Preference for managing healthcare data standards (e.g. HIPAA, EDI)
A desire to be a part of our mission to improve the U.S. healthcare system
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Technologies we use:
Python, Spark, dbt, SnowFlake, Iceberg, Airflow, OpenMetadata, Kubernetes, NATS, AWS, Terraform, Claude Code
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target salary range for this position is $310,000 - $385,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: San Francisco, CA; Washington, D.C.
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
- Own the end-to-end partnership strategy for Sierra’s US, Canada, and UK Government & SLED ecosystem, identifying, prioritizing, recruiting, and structuring the systems integrator, reseller, distributor, and strategic alliances that will most accelerate Sierra’s growth and expand our public-sector reach.
- Build and lead joint go-to-market strategies with key partners, developing compelling joint value propositions, identifying priority accounts and use cases, and aligning sales motions, pipeline goals, and shared success metrics to drive measurable commercial outcomes.
- Build a scalable partner program and enablement engine from the ground up, including training, certification paths, sales plays, field-facing materials, commercial frameworks, and onboarding programs that give partners the tools and confidence to effectively position, sell, and deliver Sierra.
- Own and grow strategic partner relationships from initial engagement through long-term success, cultivating executive-level sponsorship while establishing the operating rhythms, joint planning, business reviews, governance, and scorecards needed to keep partnerships accountable, productive, and scaling over time.
- Serve as the connective tissue between Sierra and the broader public-sector partner ecosystem, partnering closely with Sales, Marketing, Product, and Legal; bringing market intelligence and partner feedback back into Sierra; representing the company at key industry and procurement events; and using pipeline and performance data to determine where to invest, course-correct, or evolve our partnership strategy.
WHAT YOU'LL BRING
- 10+ years of experience in strategic partnerships, alliances, or channel strategy, with significant experience across US, Canada, and/or UK Government and SLED markets and a proven track record of building and scaling partner programs that drive engagement and pipeline.
- Strong relationships across the government technology ecosystem, including resellers, systems integrators, distributors, and strategic partners such as Carahsoft, Deloitte, Accenture Federal Services, or comparable public-sector organizations.
- Deep understanding of government procurement and public-sector requirements, including RFPs/RFIs, cooperative purchasing vehicles, GSA schedules, CCS/G-Cloud frameworks, Canadian procurement vehicles, and relevant compliance, security, and accessibility requirements.
- Strong executive presence and relationship-building skills, with a demonstrated ability to earn senior-level trust and sponsorship while developing GTM frameworks, enablement programs, and operating cadences that scale partnerships.
- AI fluency and a builder mindset, with experience leveraging AI-powered tools and insights in day-to-day work and applying that knowledge to partnerships around an AI-native product like Sierra, along with the ability to travel across the US, Canada, and UK as needed.
EVEN BETTER...
- Experience working at or partnering closely with government-focused organizations such as Carahsoft, Deloitte, or Accenture Federal, ideally within a high-growth enterprise company where you helped build and scale a public-sector partner ecosystem.
- Experience structuring and growing strategic partnerships, including negotiating commercial terms, developing co-sell and governance frameworks, and driving joint GTM initiatives, customer events, executive engagement, and partner marketing programs.
- Knowledge of the government technology landscape, ideally including CX/customer service technology, AI/ML applications and public-sector AI policy/procurement trends, with an existing security clearance or eligibility to obtain one where applicable.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional
Staff Machine Learning Operations Engineer
to join our
Platform
Engineering team
. This role will report to the
VP of Platform Engineering
. As Garner's foundational dedicated MLOps Engineer, you will assume responsibility for the reliability, performance, and cost-efficiency of our production machine learning systems. You will lead the development of a robust platform designed to facilitate the secure and consistent deployment of models by our machine learning and data science teams. Given that these models directly influence health outcomes and cost-effectiveness for millions of patients, maintaining the highest standards of production quality is imperative.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own the reliability, performance, functionality, and cost-efficiency of Garner's production ML systems, including establishing SLOs, observability, and on-call responsibilities.
Architect Garner's ML platform including required data infrastructure (including feature store, model registry and CI/CD for models), and standardized service patterns.
Implement ML-specific CI/CD pipelines: Transition our deployment process from manual notebook hand-offs to automated, PR-driven CI/CD workflows that include automated data quality checks and statistical model validation prior to deployment.
Drive down cost and latency through improved architecture, hardware choices, and model optimization as appropriate.
Lay the foundation for a future Garner MLOps team, including workflows, standards, and KPIs that enables rapid teammate onboarding and helps stakeholders and teammates quickly identify the health of the team’s products, allowing engineers to focus on areas where issues reside
Establish Drift Monitoring: Design and implement automated data drift and concept drift monitoring systems that alert the team when models degrade, laying the groundwork for future Continuous Training (CT) architectures
The ideal candidate has:
7+ years of software engineering experience, with significant time spent operating ML or data-intensive systems in production at scale.
Deep experience with the modern ML production stack: model serving (e.g., Sagemaker, Triton, or equivalent), feature stores, model registries, and CI/CD for ML.
Strong infrastructure and platform engineering fundamentals: Kubernetes, containerization, cloud (AWS preferred), Terraform/IaC, observability, and incident response.
Experience designing ML platforms or significant components of one (not strictly consuming SaaS) and the judgment to know when to build vs. buy.
Strong collaboration with ML, data, platform engineers, data scientists, and product engineering teams, with the ability to set technical direction as the most senior MLOps voice in the org.
Healthcare, regulated-data, or other high-stakes production ML experience is a plus but not required.
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What you’ll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Python, Kubernetes, AWS, Sagemaker, Terraform, S3, Snowflake, Airflow, Datadog
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $298,000 - $351,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
УдалённоRemote - US
ОфисГеография найма не уточнена
Не хотите искать каждый день?
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УдалённоRemote (United States | Canada); Reporting to the Vice President, Global Solutions Engineering, this remote role is open to candidates in the United States or Canada and may involve up to 30% travel
New York, New York, United States
УдалённоmiddleUnited States
УдалённоRemote, USA
ГибридГеография найма не уточнена
География найма не уточнена
ОфисmiddleSan Francisco, CA; New York, NY
San Francisco, CA
San Francisco, CA
УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
ГибридNew York; We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment