Location: Espoo; Amsterdam; Lisbon; Valencia; Berlin; Athens; Warsaw
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Geospatial Image Analyst (GEOINT)
- Location: EU
- Department: Data
- Reports to: Senior SAR Image Analyst
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
As a Geospatial Image Analyst within ICEYE’s Data line of business, you will play a central role in the exploitation and interpretation of Synthetic Aperture Radar (SAR) imagery - with a primary focus on Defence & Intelligence (D&I) applications and use cases.
This position is suited for an individual with several years of hands-on experience in geospatial data analysis and image interpretation, who is ready to deepen their expertise in SAR exploitation and operational delivery. You will contribute directly to mission-critical insights by transforming complex radar data into actionable intelligence products.
Working closely with our Image Analysis, Sales Engineering, Marketing, Product and Sales teams, you will combine your analytical acumen with advanced geospatial tools - including AI workflows - to provide stakeholders with timely, accurate, and operationally relevant geospatial intelligence.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Conduct advanced SAR image exploitation and analysis to support D&I use cases such as activity monitoring, change detection and pattern-of-life analysis.
- Develop and deliver analytic reports, visualizations, and geospatial products that meet customer requirements and operational standards.
- Collaborate with product and delivery teams to define analysis specifications, interpret results, and ensure technical outputs align with needs.
- Apply geospatial, remote sensing, and SAR science expertise to enhance ICEYE’s analytical capabilities and data value proposition.
- Engage with customers and partners, when required, to explain methodologies, interpret outputs, and support the operational use of ICEYE data.
- Stay current with advances in SAR technology, geospatial tools, and D&I analytic tradecraft, incorporating new techniques and insights into daily work.
WHAT WE’RE LOOKING FOR
Must haves:
- 3-5+ years of experience in geospatial analysis, SAR/satellite imagery (electro-optical, thermal, hyperspectral etc) exploitation, or related D&I analytical functions, in defense environment.
- Proficient in SAR interpretation, with working knowledge of common geospatial software e.g. QGIS, SOCET GXP, ArcGIS.
- Strong understanding of remote sensing and related geospatial principles.
- Excellent written and verbal communication skills, with the ability to convey complex analytical findings clearly to technical and non-technical audiences.
- Ability to adapt quickly, manage multiple tasks, and thrive in a fast-paced environment.
APPLICATION PROCESS
- TA Screen;
- Hiring Manager Interview;
- Practical Task + presentation;
- Final Interview with Senior Management.
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: San Francisco; Seattle; New York City
Workplace: Hybrid
ABOUT MOTHERDUCK
Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans.
ABOUT THE ROLE
We're hiring a growth marketer with a hacker brain to own the systems that make our growth engine run... lifecycle, marketing ops, and the data and automation underneath both.
If you're the person who looks at a list of signups and immediately wonders what you could learn by enriching it, splitting it five ways, and testing a different nurture on each... we'd love to meet you. You'll build the segments, lists and audiences everything else depends on, hack and build growth agents, run Clay like a product you own, and use data to push our lifecycle programs 10x further than they are today.
This isn't a role where you wait for a ticket. You'll spot the next enrichment worth testing, propose the workflow that saves the team ten hours a week, and ship it. Some folks call this kind of work go-to-market engineering. We think of it as lifecycle marketing with real technical chops.
WHAT YOU'LL OWN
Lifecycle marketing, the backbone
- Become the team's expert on our audiences, and build the segments, lists and audiences that every email, campaign, webinar and nurture runs on
- Design lifecycle programs across signup, activation, re-engagement and expansion, and test them relentlessly with real data
- Use product usage and conversion patterns to decide who gets what message, when, and on which channel
- Report honestly on what moved the number and what didn't... including your own tests
Growth agents and Clay
- Own Clay end to end. You're the person who pushes it forward, not someone who has access to it
- Test new enrichments, scoring and signals, keep what works and kill what doesn't
- Build growth agents and automated workflows that let a three-person team move like a much bigger one
- Feed better audiences to Google, Meta, LinkedIn and email, in partnership with the performance marketer
Marketing ops
- Configure webinars and forms, and run the ops side of events: registration flows, segmentation, follow-up and handoff to sales
- Keep our tools, data and routing clean so the team trusts what they see
- Proactively propose improvements to how we work. If something's slow, manual or broken, we expect you to say so and fix it
WHAT PEOPLE SHOULD BE SAYING IF YOU'RE DOING DUCKING AWESOME
- "I didn't ask for that segment, but it's exactly what I needed for the campaign."
- "Every audience I get from them converts better than the last one."
- "The leads from the webinar showed up enriched, routed and ready to go. I didn't have to dig for anything."
- "Wait, marketing built that agent? Can we borrow it?"
- "Clay does things now nobody thought it could, and our lifecycle emails actually get replies."
WHAT WE'RE LOOKING FOR
- You want to hack and build growth agents. This is the heart of the role. You've used Claude Code, agents or similar tooling to automate real growth work, and you're itching to build more
- A passion for understanding user groups. You want to be the expert on our audiences... who they are, how they behave, and how to segment them so every email and nurture lands with the right people
- A systems brain. You see marketing as a set of inputs, workflows and feedback loops, and you love making them run better
- Lifecycle experience with numbers attached. You've owned segments, nurtures or re-engagement programs and can tell us what they did to activation, pipeline or revenue
- Proactive by default. You find the next test, enrichment or fix before anyone asks
- High-growth company background, ideally somewhere with a technical or developer audience
- Honest about results. You'll call out a losing test, including your own, as quickly as a winner
- Clay experience, ideally a workflow you built and can walk us through
- HubSpot experience at the workflow and data level
- Comfortable pulling and analyzing your own data, SQL included
- Webinar or event ops experience tied to pipeline
- Familiarity with data practitioners or developers as an audience
OUR INTERVIEW PROCESS
We like to keep things transparent, so here's what to expect if you apply...
1. Discovery call with our recruiting team to get acquainted and make sure we're a mutual fit
2. A conversation with our Growth lead to learn about the systems you've built, how you think about audiences and segments, and what excites you about growth agents
3. A deeper conversation with our Growth team covering lifecycle strategy, how you'd test and measure a program, and a walkthrough of a workflow or agent you've built
4. A final conversation with our CEO focused on values and vision
PLEASE APPLY
Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified? Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications.
MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
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!
The UX Platform team aims to improve workflows in the Figma Ecosystem, with a focus on the user experience at the boundary of different features and products. Our goal is to make distinct features within the design editor feel more connected so that both new and experienced users can move as quickly as possible through their creative process. The team tackles complex core product and platform challenges with real revenue implications, shaping Figma’s product experiences across teams and impacting how millions of people design and build together every day. We build thoughtful, extensible UI patterns that help our product suite feel more familiar and intuitive. Given the reach of the features and experiences we build, we have an exceptionally high bar for product quality and craftsmanship. Most recently, the team has been focused on improving Agent-driven workflows in the design editor.
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:
Manage and support a team of experienced engineers to build new features that better connect Figma’s multi-product ecosystem
Champion a strong engineering culture rooted in inclusivity, velocity, and technical excellence
Partner with product, design and engineering leadership to set strategy, priorities, and mission for teams and projects
Work closely with cross-functional partners and other engineering teams to build and support a culture of doing great work together for our engineering team by investing in team culture, mentorship, and meaningful work
Grow your career in a collaborative and creative engineering community
We'd love to hear from you if you have:
2+ years of engineering management experience and leading a high output engineering team
6+ years of frontend or fullstack engineering experience
Demonstrated leadership skills in building a high-performing and highly engaged engineering team; including a proven track record of motivating, mentoring, and guiding senior engineers
Experience building product roadmaps with product, design, and data-science partners
Proven success balancing technical quality work alongside feature development
Strong written and verbal communication skills, especially in cross-functional settings
While it’s not required, it’s an added plus if you also have:
Success working in highly complex and ambiguous product spaces
Experience shipping cross-product features and tools at high velocity
Strong collaboration experience across engineering teams and organizations
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:
$258,000
—
$376,000 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: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
As a Manager on the Commercial Account Management team, you will lead a team of Account Managers who serve as the dedicated, named partners for some of Ramp's fastest growing customers. Your team drives revenue through expansion, renewal and retention across a high-volume book of business, while delivering the white-glove experience of a trusted advisor. You will coach your team to uncover and close multi-product expansion opportunities and help sharpen a proven account management motion as the segment scales.
What You'll Do
- Lead, coach, and develop a team of Commercial Account Managers focused on expansion and retention across a scaled customer portfolio
- Own team-level pipeline, forecasting, and revenue targets — driving accountability through clear metrics and performance frameworks
- Develop and execute scalable upsell/cross-sell strategies and ensure the team maintains a robust, healthy expansion pipeline
- Build a deep understanding of Ramp customer personas and instill a consultative, trusted-advisor approach across your team
- Equip your team with sales methodologies to uncover customer needs and pain points effectively
- Stay close to changes in Ramp's product and go-to-market motion, and translate those shifts into how your team sells, prioritizes, and talks to customers
- Synthesize customer feedback from your team to inform Ramp's product roadmap and customer communication strategy
- Partner cross-functionally with Sales, Marketing, Product, and Operations to continuously improve efficiency and advocate for your customers
- Hire and onboard top talent as the team scales
What You'll Need
- Minimum 6 years of customer-facing or direct sales experience, with at least 2 years in a people management role
- Proven track record of leading high-performing teams in a high-velocity sales environment
- Experience with CRM tools (Salesforce preferred) and the ability to build and maintain team-level reporting and dashboards
- Background in outbound prospecting, product demonstrations, and hands-on experience with sales tools and processes
- Consultative sales mindset with strong analytical skills and the ability to coach others to engage with business challenges at a strategic level
- Comfort engaging with and enabling your team to sell to C-level executives, finance teams, and key decision makers
- Consistent track record of hitting or exceeding team-level sales targets with strong team distribution in a fast-paced, metrics-driven environment
- Strong operational rigor — data-driven approach to tracking team performance and identifying coaching opportunities
- Excellent verbal and written communication skills, with the ability to represent the team internally and externally
- Strong organizational and project management skills, with the ability to manage competing priorities across a growing team
- Entrepreneurial mindset: a self-starter who thrives in ambiguous, fast-moving environments and can build process where little exists
NICE TO HAVES
- Experience with financial services sales
- Experience at a high-growth startup
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production.
We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production.
If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit.
Key responsibilities
Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations
Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves
Design APIs and abstractions that work equally well for engineers and for AI agents
Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms
Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback
Build infrastructure-as-code workflows that many teams rely on for safe, routine changes
Scale artifact distribution so code and configuration reach machines quickly and efficiently
Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes
Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform
Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring
Minimum qualifications
Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java
Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams
Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP
Strong written and verbal communication skills
Preferred qualifications
Experience building deployment, release, or change management systems at large scale
Experience with production on-call and incident response
Experience with Rust in production
Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts
Deep knowledge of Kubernetes, including controllers and operators
Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking
Experience building feature flag, experimentation, or dynamic configuration systems
Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage
Experience with software supply chain security, such as signed build provenance
Experience building high-throughput workflow engines or control planes backed by relational databases
Experience building internal developer platforms and leading adoption across many teams
Experience using AI agents in your own engineering work, or building systems that agents operate
Representative projects
Build operator controls for progressive rollouts, including pause and resume that preserve rollout state
Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to
Build cluster-health-aware rollouts that steer around unhealthy clusters
Add a new workload type to the platform, including its rollout, verification, and rollback behavior
Design a deployment control plane that handles sharp bursts of agent-driven traffic
Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows
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:
$405,000
—
$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: Mexico City, Mexico
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Supervisor, Billing Operations.
About the job
We are seeking an experienced Billing Supervisor to support end-to-end order processing, invoicing, and post-billing communications for sales teams and customers. In this role, you will work closely with Deal Operations, Revenue Accounting, Collections and Sales to ensure smooth contract execution and issue resolution.
You will directly lead and support an operational team based in Mexico while collaborating cross-functionally with global counterparts across the United States, Ireland, and India.
Responsibilities
In this role, you’ll:
Lead and supervise an international team of analysts and senior analysts handling post-billing communications, invoice portal processing, and issue remediation.
Oversee daily order management, billing, and communications to ensure timely invoicing, precise contract provisioning, and rapid issue remediation while holding the team accountable to key SLAs.
Serve as an escalation point for billing, collections, and order management inquiries, delivering timely resolutions for both internal stakeholders and external customers.
Review and validate customer contracts across multiple internal systems to maintain data integrity and accurate financial reporting.
Execute and own SOX-compliant month-end reconciliations for billing and provisioning, ensuring full data completeness and accuracy.
Coordinate and fulfill audit deliverables for internal/external auditors and tax consultants during quarterly and annual reviews.
Drive continuous operational improvements, participate in system enhancement initiatives, and lead new process implementations.
Onboard, train, and mentor team members to maintain high operational standards across the team.
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 experience in a billing operations role
Experience with Salesforce
Experience with supporting team members from a supervisory standpoint
Excellent communication skills for internal and external stakeholders
Proficiency in Excel
Strong attention to detail
Ability to prioritize and multitask throughout high volume order processing
Ability to identify, analyze, and resolve issues independently
Collaborative working style and experience working cross-functionally
Ability to support flexible timezone meetings periodically
Excellent written, and verbal communication skills in English
Desired:
Experience working in the SaaS/technology industry
Experience working with an international team
Knowledge of and experience with SOX controls
Experience with Zuora
Location
This role will be remote, and based in Mexico City, Mexico.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5% travel is anticipated to help you connect in-person in a meaningful way.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: London, UK
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 Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a
professor in a quantitative discipline, a technical founder or a staff-level engineer
and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required.
What to expect
A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers
Access to Claude models and GPU compute
Connection to the broader AI safety and security research community
Interview process
The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check.
Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027.
You may be a good fit if you
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into working on empirical AI research full-time
Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer)
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Strong candidates may also
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases
Mentors and research areas
Potential Anthropic mentors include:
Sara Price
: leads the Alignment Training team; background in data science
Ethan Perez
: leads the Alignment Science team; background in machine learning
Evan Hubinger
: leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI)
Samuel Marks
: leads the Scalable Oversight team; background in mathematics
Elana Simon
: researches the interpretability of language models and biological models; background in biomedical informatics
Belinda Li
: researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT)
Jack Lindsey
: leads the Model Psychology team; background in theoretical neuroscience
Nicholas Carlini
: researches adversarial machine learning and AI security; previously at DeepMind and Google Brain
Jascha Sohl-Dickstein
: works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain
Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include:
AI safety & alignment
Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Model Organisms: Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.
AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.
AI security & frontier red-teaming
Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography.
ML systems & reinforcement learning
Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines.
For a fuller picture of the questions we care about, see our
Recommendations for Technical AI Safety Research Directions
and recent publications from our
Alignment
,
Interpretability
and
Frontier Red
teams.
Logistics
Duration:
Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception.
Location:
This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire.
Commitment:
Full-time role for the duration of the residency.
Compensation:
£265,000 to £375,000/year pro-rated for the duration of the residency + benefits
Visa sponsorship:
We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire.
Applicants may also be considered for the
Anthropic Fellows Program
.
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:
£265,000
—
£375,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a
professor in a quantitative discipline, a technical founder or a staff-level engineer
and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required.
What to expect
A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers
Access to Claude models and GPU compute
Connection to the broader AI safety and security research community
Interview process
The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check.
Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027.
You may be a good fit if you
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into working on empirical AI research full-time
Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer)
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Strong candidates may also
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases
Mentors and research areas
Potential Anthropic mentors include:
Sara Price
: leads the Alignment Training team; background in data science
Ethan Perez
: leads the Alignment Science team; background in machine learning
Evan Hubinger
: leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI)
Samuel Marks
: leads the Scalable Oversight team; background in mathematics
Elana Simon
: researches the interpretability of language models and biological models; background in biomedical informatics
Belinda Li
: researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT)
Jack Lindsey
: leads the Model Psychology team; background in theoretical neuroscience
Nicholas Carlini
: researches adversarial machine learning and AI security; previously at DeepMind and Google Brain
Jascha Sohl-Dickstein
: works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain
Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include:
AI safety & alignment
Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Model Organisms: Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.
AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.
AI security & frontier red-teaming
Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography.
ML systems & reinforcement learning
Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines.
For a fuller picture of the questions we care about, see our
Recommendations for Technical AI Safety Research Directions
and recent publications from our
Alignment
,
Interpretability
and
Frontier Red
teams.
Logistics
Duration:
Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception.
Location:
We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire.
Commitment:
Full-time role for the duration of the residency.
Compensation:
$350,000 to $500,000/year pro-rated for the duration of the residency + benefits
Visa sponsorship:
We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire.
Applicants may also be considered for the
Anthropic Fellows Program
.
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:
$350,000
—
$500,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
As an Apparel & Accessories Inventory Planner, you will own inventory levels and buy plans for assigned categories and SKUs to support business objectives and achieve financial targets. Reporting to the Senior Inventory Planning Manager, you will manage day-to-day inventory planning and purchasing activities while supporting broader departmental planning initiatives. You will collaborate closely with fellow Inventory Planners, Product Marketing, Go-to-Market (GTM), FP&A, and Operations teams to ensure optimal inventory levels for new product launches, seasonal assortments, and ongoing business needs. The ideal candidate has 3+ years of experience in inventory planning and analysis.
RESPONSIBILITIES:
- Partner with D2C Product Marketing Managers to align inventory plans with product launches, seasonal color stories, and assortment strategies. Develop SKU-level inventory plans across D2C channels and markets to support business needs and product availability.
- Own inventory health and replenishment planning for assigned categories and SKUs. Monitor inventory levels, analyze selling trends, and proactively identify risks and opportunities, including potential stockouts, excess inventory, and slow-moving products. Recommend actions to optimize inventory productivity and availability.
- Translate demand forecasts, sales trends, and product insights into SKU-level buy quantities. Execute purchase orders and adjust purchasing recommendations based on evolving demand, inventory availability, and business priorities.
- Maintain accurate inventory and on-order positions to support the Open-to-Buy (OTB) process. Provide bottom-up analysis of inventory needs, upcoming purchases, and potential risks to inform category-level inventory and financial plans.
- Partner with Supply Chain to align inventory requirements with production lead times, minimum order quantities (MOQs), supplier capacity, and shipping timelines. Proactively identify and communicate potential supply constraints.
- Support inventory allocation and distribution across D2C channels and markets, ensuring the right products are available in the right locations at the right time while balancing customer demand and inventory efficiency.
QUALIFICATIONS:
- 3+ years of experience in inventory management, demand planning, merchandise planning or allocation planning within a consumer goods or innovation-driven industry
- Advanced Excel skills and a strong understanding of retail math required.
- Experience with ERP systems (e.g., NetSuite) and demand and inventory planning platforms (e.g., o9, Anaplan, Blue Yonder, or similar tools) is a plus.
- Experience with AI tools or analytics platforms is a plus, especially for forecasting or demand modeling.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and translate insights into strategic decisions.
- Excellent communication and interpersonal skills; comfortable collaborating with cross-functional teams across operations, supply chain, and marketing.
- Proven ability to thrive in fast-paced, high-growth environments with competing priorities and tight deadlines.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $80,000 - $110,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: United States Remote
Workplace: Remote
ABOUT THE TEAM
Mural helps teams think, decide, and follow through together. AI made producing content cheap. It did not make agreement, commitment, or follow-through any easier. The AI Workflows team builds the AI and agentic experiences inside Mural that help teams reach decisions and keep them.
YOUR MISSION
You will own the outcomes for new AI experiences from first idea to proven value. You will partner with the Engineering Manager and the Agentic Design Director for AI Workflows as counterparts, and together you will own the strategy. You will work with a wider team of engineers, ML engineers, designers, and product managers, moving from hypothesis to working prototype to evidence in weeks, not quarters. You will build prototypes yourself and decide what ships, what changes, and what we stop, based on what users do and what the evals tell us.
WHAT YOU'LL DO
- Set strategy for AI Workflows together with your engineering and design counterparts, own the outcomes and the evidence behind what we build, and engage deeply in the end-to-end user experience
- Find the team workflows where AI adds clear value, at the intersection of collaboration, alignment, and decision making.
- Build working prototypes with modern AI tools (Claude, Cursor, Codex, or similar) to test ideas with users before committing further investment.
- Turn each release into a hypothesis with pass/fail criteria, and make the call on whether to iterate, scale, or kill it.
- Define product-quality evals with engineering that measure usefulness, trust, and reliability, and own the call on whether an experience meets the bar to ship.
- Decide with engineering and ML when to use frontier models, when to route across models, when to bring in a new model, and when a model of our own is worth building.
- Understand the cost to serve each workflow, and work with growth and finance on how usage is metered and what the unit of value is.
- Set up the data loops that improve quality, including what we collect, how we label it, and how it feeds evals and model work.
- Design agentic experiences that work in real multiplayer sessions, where people need to understand, steer, and correct what the agent does.
- Talk with users every week and bring what you learn back into the work.
- Work with design, engineering, marketing, sales, legal, and security teams to align on shipping decisions.
- Share what you learn across the product organization so other teams can adopt the practices that work.
WHAT YOU'LL BRING
- 7+ years in product management, including shipping at least one AI product from concept to real users.
- Recent hands-on experience building agentic or LLM-based products, including what went wrong and what you changed.
- Technical fluency to design and read evals, and to work as a peer with engineers and ML engineers on context management, latency, reliability, and failure modes.
- Sound judgment on model decisions: comparing models, routing across them, adopting new ones, and deciding when fine-tuning or a custom model is worth it.
- Understanding of AI unit economics, including cost to serve, usage-based metering, and how model choices change margin.
- A record of launching, rebuilding, changing direction, and killing ideas based on evidence
- Comfort making high-stakes decisions with incomplete information, and being candid about the tradeoffs.
- Experience owning outcomes while partnering with expert engineering and design leaders as true counterparts.
- Experience creating structure where no playbook exists.
- Experience with collaboration or productivity software.
- Experience with forward-deployed or customer-embedded product work.
- Experience with agent interoperability, including MCP.
EQUAL OPPORTUNITY
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Location: Remote - USA
Workplace: Remote
SOLUTIONS ARCHITECT
Our Solutions Architecture team connects business priorities with practical technical solutions, helping customers understand how Chainalysis can support their most important objectives.
In this role, you will provide technical leadership throughout the customer journey. You will turn complex requirements into clear recommendations, help customers envision how our products fit into their operating environment, and guide them toward measurable business outcomes.
As a Solutions Architect, you'll develop a deep understanding of Chainalysis solutions and the problems our customers are trying to solve. You'll explain complex concepts in a clear, compelling way to technical practitioners, business leaders, and executive stakeholders. You'll also build practical, customer-specific solutions that support deployment, integration, adoption, and long-term value.
In this role, you'll:
- Serve as a core member of the account team, partnering closely with Sales, Services, Customer Success, Product, and Engineering.
- Take ownership of customer outcomes across the full lifecycle, from initial discovery and solution design through investigation support, compliance program delivery, deployment, enablement, adoption, and expansion.
- Lead discovery conversations that uncover customer objectives, operational pain points, use cases, technical constraints, and success criteria.
- Translate business and operational needs into clear technical requirements, solution designs, and implementation paths.
- Articulate Chainalysis capabilities in a way that is relevant to each customer's compliance, risk, fraud, investigations, or security environment.
- Create tailored demonstrations, proof-of-value experiences, and technical narratives that show how Chainalysis can address customer priorities.
- Conduct blockchain investigations, deliver compliance and regulatory guidance, and build technical solutions such as notebooks, dashboards, automation workflows, data integrations, reference architectures, and agentic workflows.
- Develop AI-assisted workflows that accelerate and automate investigations, analysis, and customer processes, adapted to each customer's operating model, data, controls, and risk framework.
- Design automation that fits into existing compliance, risk, fraud, investigations, or security operations rather than requiring customers to redesign how they work.
- Help customers access and operationalize Chainalysis data through APIs, integrations, and fit-for-purpose technical patterns.
- Provide guidance on solution architecture, API implementation, workflow design, data movement, and integration considerations.
- Drive platform adoption by connecting customer workflows to Chainalysis capabilities and identifying new use cases.
- Identify creative, responsible approaches to difficult customer problems, while balancing speed, scalability, security, maintainability, and measurable impact.
- Build trust through sound technical judgment, clear communication, reliable execution, and a strong understanding of the customer's business.
- Assemble the technical evidence base, including outcome data, consumption metrics, adoption analysis, and expansion signals, that supports quarterly impact reporting and renewal conversations.
- Build customer capability and self-sufficiency rather than creating ongoing dependence on the Solutions Architecture team.
- Own the feedback loop between customers and Product/Engineering, translating field insights and feature requirements into product improvements and bringing those improvements back to customers.
- Act as a trusted advisor to customers, meeting them at their current level of crypto-maturity and partnering with them to advance their understanding, processes, and outcomes.
- Represent Chainalysis at customer meetings, industry events, and conferences.
- Contribute to the wider Solutions Architecture team through reusable assets, knowledge sharing, internal initiatives, and better ways of working.
We're looking for candidates who have:
- Several years of experience in one or more relevant areas, such as financial services, compliance, investigations, fraud, cybersecurity, digital assets, transaction monitoring, sales engineering, solutions architecture, or enterprise product management.
- Experience making complex technical or operational concepts understandable to different audiences.
- Strong storytelling, presentation, and written communication skills, with the ability to engage both technical teams and executive stakeholders.
- A creative, structured, and investigative approach to solving challenging customer problems.
- Comfort working with technical tools and learning new technologies quickly. Experience with Python or another programming language, SQL, data analysis, notebooks, workflow automation, APIs, integrations, or AI tools is valuable.
- The curiosity and initiative to develop technical depth over time; you do not need to arrive with a complete technical stack, but you should enjoy investigating how things work and building the skills to solve new problems.
- The ability to operate effectively when requirements are ambiguous, information is incomplete, or the best path forward has not yet been defined.
- A collaborative, generous approach to working with others, including a willingness to share knowledge, seek input, and improve team practices.
- A demonstrated focus on measurable customer outcomes, not simply technical activity or product usage.
- An interest in blockchain and a desire to keep building your understanding of the technology, the market, and the customers we serve.
Total Compensation:
• Base Salary Range: $160,000-$185,000
• Offers Commission: 75/25 OTE
• Offers Equity
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Location: United States
Are you a sports performance professional considering a career change?
Are you motivated by performance, accountability, and the challenge of building something within a defined territory?
If you have a sports performance background — Sports Science, Athletic Training, Strength & Conditioning, or similar — and are hungry to learn the craft of consultative field sales, this Business Development Manager (BDM) role at VALD may be the next step in your career.
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 10,000 clients in over 150 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with 5 offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the VALD Business Development Manager Role
This is a
FIELD SALES role
with defined territory ownership.
While this position is considered “remote” in that VALD does not operate a local office in every territory, this is not an inside sales or work-from-anywhere role. Business Development Managers are expected to spend time in the field meeting clients, performing product demonstrations, and developing relationships across their assigned territory.
Location & Residency Requirements
Applicants must live within 60 minutes of a major airport in the posted states associated with this role and able to travel around 3–4-hour radius of where they live.
Candidates who do not currently live within the territory must be willing to relocate within 30 days of offer/start date.
Applications from candidates planning to relocate will be considered; however, priority is given to qualified candidates already residing within the territory or those who have a history/network within the assigned territory
No relocation reimbursement is offered
.
About the VALD Business Development Team
The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD.
With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business.
Is this you?
Travel & Field Expectations
Approximately 50% travel, primarily regional.
Frequent day travel by car, with regular overnight stays depending on territory.
Limited air travel may be required based on geography (all work-related travel is reimbursed)
Standard working hours are expected, with occasional evenings or weekends required for conferences, events, or lead follow-up.
Reliable personal vehicle required (all work-related mileage is reimbursed).
Ability to transport and demonstrate VALD equipment; carrying demo equipment up to ~75 lbs is required. Vehicle suitability (to fit VALD systems) can be discussed during interviews.
Qualifications & Experience
Background in sports performance (ATC, S&C, Exercise Science, or similar)
New graduates welcome; preferred candidates have 2+ years of field experience
Strong communication skills across in-person, virtual, and written formats
Comfort with cold prospecting (drop-ins, calls, emails)
Confidence engaging with professionals at all levels (students to executives)
Experience using CRM platforms (HubSpot preferred) and Microsoft 365 tools
Prior field sales experience is considered
only
if aligned with clinical background and having sold within subscription-based sales models
Who Succeeds in This Role
The strongest BDMs at VALD share two defining traits:
Lifelong learners
— curious, coachable, and driven to improve their craft.
GRIT
— able to handle rejection, fail forward, accept feedback without ego, and stay focused on long-term success.
This role is well suited for:
Health professionals seeking a career change into sales
Early-career BDMs
Mid-career sales professionals with relevant clinical and industry background
Key Responsibilities
Own and manage a defined sales territory, focusing on high schools
Self-generate a sales pipeline through outbound prospecting and marketing driven inbound opportunities
Conduct in-person and virtual product demonstrations & oversee client trials
Work full-cycle sales opportunities in partnership with Contracts and Client Success
Achieve monthly and quarterly quota targets based on quantity of systems sold
Accurately manage pipeline activity using CRM tools (HubSpot experience is a plus)
Represent VALD professionally at conferences, events, and industry meetings
Compensation & Benefits
Commission and on-target bonus structure
Home office setup or co-working allowance offered
Full VALD equipment demo kit, iPad, and a work computer
Monthly expense reimbursement
Monthly fitness and wellness allowance
Medical, vision, dental insurance, and 401(k)
It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application!
We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team.
Why VALD?
At VALD, you’ll join a global team redefining how performance and healthcare professionals measure and improve human movement.
We offer opportunities to learn from high-performing teams, collaborate across disciplines, and grow within a company that values curiosity, accountability, and impact. Semi-annual global team gatherings provide opportunities for professional development and connection, while our culture prioritizes inclusion, diversity, and long-term growth.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Conditions of Employment
Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.
Location: San Francisco, California
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion's mission is to make toolmaking ubiquitous—from wikis and documents to notes, tasks, and databases. Strong product intuition and user focus have driven adoption across organizations of all sizes. Millions of users now rely on Notion's building blocks to get work done.
As Notion scales, there's a unique opportunity to build the data foundations that help our product and company reach their full potential. You'll design and build reliable, trusted datasets that accelerate decision-making across product and business functions, directly impacting our roadmap and growth.
This role is based in our San Francisco Headquarters. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Define ETL processes and infrastructure to make data readily available across the company
- Build core datasets as single sources of truth for product and business teams (product, marketing, sales, finance, customer experience, data science, operations, IT, engineering)
- Partner with data scientists and stakeholders to understand their needs and design, build, and monitor pipelines that scale with our growing data
- Implement automated workflows that reduce operational costs, define SLAs for timely data delivery, and democratize data through self-serve dashboards, discovery tools, and AI-enabled exploration
SKILLS YOU'LL NEED TO BRING:
- Self-starter who gathers high-impact needs from business partners, designs technical solutions, and communicates clearly about deliverables, timelines, and tradeoffs
- 5+ years of experience as a data engineer building core datasets and supporting business functions, with a passion for analytics, data modeling, and solving complex problems
- Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data stores (Snowflake, Redshift, Hive, SQL/NoSQL, columnar formats) and methodologies (dimensional modeling, data marts, schemas)
- SQL expert, proficient with aggregation, window functions, UDFs, self-joins, and optimization techniques for writing correct, high-performance queries
- Highly comfortable with object-oriented programming (Python, Java, Scala)
- Expert at using AI and agent-based tools to accelerate data development for yourself and others, including defining guardrails, workflows, and context for safe, production-scale data work
NICE TO HAVES:
- Experience at a fast-scaling or SaaS company, with enthusiasm to contribute in such an environment (current Notion users especially welcome)
- Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift)
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $179,000 - $200,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Lisbon
Workplace: onsite
About Spin.AI
Spin.AI is a SaaS security company headquartered in Palo Alto, CA, protecting organizations against SaaS ransomware, data loss, data leaks, risky third-party apps, and compliance gaps across their mission-critical SaaS applications.
SpinOne is an all-in-one SaaS security platform that brings together backup and disaster recovery, ransomware detection and response, data loss prevention (DLP), and SaaS security posture management (SSPM) for Google Workspace, Microsoft 365, Salesforce, and Slack. With the acquisitions of Revyz (backup and recovery for Atlassian Jira and Confluence) and DoControl (SaaS data loss prevention), Spin.AI continues to expand its coverage of the SaaS stack. More than 1,500 organizations worldwide trust Spin.AI to protect their data. Learn more
here
.
Position Summary:
We are looking for an experienced, technically strong, customer-obsessed Customer Support Engineer to support our European customers. You will be the first technical point of contact for IT administrators, security teams, and MSP partners, helping them get the most out of the Spin.AI platform—from onboarding and configuration to troubleshooting backups, restores, security alerts, and integrations.
This is a hands-on role for someone who enjoys solving complex problems, explaining technical concepts clearly, and building trust with customers. You will work closely with our Engineering, Product, Customer Success, and Sales teams, and your feedback will directly shape the product and our knowledge base.
This role is based in our Lisbon, Portugal office. You will work from the office during the week, and weekend work is done remotely. Hours follow European business hours, with some overlap with our US-based teams.
What You Will Do:
Provide technical support to customers and partners via email, chat, and video calls, meeting response and resolution SLAs.
Research, diagnose, and resolve issues across Spin.AI products, including backup and restore, ransomware protection, DLP, SSPM/app risk assessment.
Troubleshoot integrations with Google Workspace, Microsoft 365, Salesforce, Slack, including admin consoles, OAuth/API permissions, and service accounts.
Guide new customers through onboarding, setup, and best-practice configuration.
Reproduce issues, gather logs and evidence, and escalate to Engineering with clear, well-documented tickets; follow through until resolution.
Manage and document cases accurately in our ticketing system (Jira Service Management), ensuring proper recording and closure of all issues.
Write and maintain knowledge base articles, FAQs, and internal tech notes.
Act as the voice of the customer—share recurring issues, feature requests, and product feedback with Product and Engineering.
Partner with Customer Success and Account Management on adoption, renewals, and at-risk accounts, and flag expansion opportunities you spot in customer conversations.
Prepare timely reports on support trends and contribute ideas to improve support processes and tooling, including AI-assisted support.
What You Bring:
4+ years of experience in technical support, IT support, or a customer-facing engineering role, ideally at a B2B SaaS company, with a track record of owning complex technical escalations from start to finish.
Hands-on administration experience with Google Workspace and/or Microsoft 365 (Entra ID, Exchange Online, SharePoint, OneDrive, Teams).
Working understanding of SaaS and cloud concepts such as APIs, OAuth, SSO/SAML, user and permission models, and data retention.
Strong troubleshooting and problem-solving skills, with the ability to work through ambiguous issues methodically.
Excellent written and spoken English (C1 or higher) and the ability to explain technical topics to both technical and non-technical audiences.
Excellent client-facing skills, empathy, and a sense of ownership for the customer outcome.
Self-motivated and organized, able to work independently, both in the office and remotely on weekends, and prioritize multiple issues in a fast-paced setting.
Curiosity and willingness to learn the platform deeply in order to deliver fast, effective support.
Based in Lisbon, Portugal, or willing to relocate, and eligible to work in Portugal.
Nice to Have:
Experience with Salesforce, Slack, or Jira.
Background in cybersecurity, data protection, backup/recovery, or DLP.
Certifications such as Google Workspace Administrator or Microsoft 365 Administrator.
Scripting or technical tooling skills (e.g., PowerShell, Python, REST API tools like Postman).
Experience with Jira Service Management, Planhat, or similar support and CS tools.
Additional European languages (e.g., German, French, Spanish, Italian).
Experience supporting MSPs or channel partners
Room to Grow:
We invest in our people and want this role to be a launchpad. Depending on your strengths and interests, there is a clear path to grow into:
Customer Success Manager (CSM):
own a portfolio of customer relationships, drive adoption and retention, run business reviews, and work on renewals and expansions.
Solutions Engineer (SE):
partner with our Sales team on new business—running technical discovery, product demos, proofs of concept, and answering security questionnaires and RFPs.
Your deep product knowledge and customer experience from support give you a strong foundation for either path.
Benefits:
A dream team of highly motivated and talented people, with ambitious goals and challenges that require strong analytical and communication skills.
Competitive base salary + bonuses.
Office in Lisbon, Portugal, with remote work on weekends.
Medical insurance.
Clear career growth paths into Customer Success or Solutions Engineering.
Conferences, training, certifications, and other professional development opportunities.
Team-building events.
Employee Wellness Program
Unlimited PTO
Why Spin.AI?
Inc. 5000 list for 2026! 🚀
Overall Ranking: #3,309
Industry Ranking: #107
Metro Ranking: #114
State Ranking: #463
Forbes Named Spin.AI One of America's Best Startup Employers
THREE
Years in a Row (2024- 2026)
Work in a fast-moving, high-impact cybersecurity company recognized by
Gartner, Forrester, and G2
.
Collaborative, transparent culture – your ideas and experiments matter.
Direct impact: your work translates into real business growth and visibility.
Growth opportunities and performance-based rewards.
Location: Atlanta; San Francisco; New York
Workplace: Hybrid
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Job description:
As a Enterprise Technical Account Management (TAM), you will be instrumental in building and maintaining strategic relationships with key clients, ensuring their satisfaction by resolving their technical issues, optimizing their payment solutions and delivering exceptional service with your technical expertise and strong interpersonal skills.
* This posting covers multiple openings across locations and seniorities. Your exact leveling + compensation range will be determined by your location, experience and interview performance.
* This role hybrid role, going into the office 3 days a week (hybrid), at our SF (Jackson Square), NYC (Chelsea), and Atlanta (Colony Square) location. Please note that unfortunately, we do not offer relocation assistance for this role at this time.
What You'll Be Doing
Strategic Growth & Performance
- Become a true expert on your merchants’ business, diving deep into their payment data to uncover actionable insights and opportunities.
- Act as a payment performance consultant, identifying and driving initiatives that boost authorization rates, increase revenue, and lead to the adoption of new Checkout.com http://Checkout.com products.
- Serve as a strategic advisor during business reviews, translating technical performance into a compelling commercial story for your merchants.
Technical Ownership & Delivery
- Serve as the primary technical authority for your merchants, mastering their API integrations and infrastructure.
- Lead the response to critical incidents with a calm, decisive approach, coordinating internal teams to ensure swift resolution and clear communication.
- Project-manage key technical initiatives, from complex migrations to new product launches, ensuring seamless, on-time delivery.
Merchant Advocacy & Enablement
- Act as the voice of the merchant internally, translating their needs and feedback into clear insights that help shape our product roadmap.
- Empower your merchants by delivering expert training, workshops, and demos to ensure they are leveraging the full power of our platform.
Qualifications
- 3+ years of experience in a senior, client-facing technical role such as Technical Account Management, Solutions Consulting, or Sales Engineering, preferably within a SaaS or API-first company.
- Solid understanding of the end-to-end payment lifecycle, from authorization to settlement. Payments experience + knowledge is required.
- A degree in Computer Science, Information Technology, or a related technical field, or equivalent experience.
- Hands-on expertise with RESTful APIs. You can confidently read API documentation, troubleshoot integration issues, and guide developers through complex workflows.
- Exceptional communication skills, with the ability to build trust and convey complex technical subjects to both C-level executives and engineering teams.
- A natural problem-solver with a tenacious attitude; you're comfortable navigating ambiguity and leading clients through high-pressure technical incidents.
What makes you stand out:
- Deep knowledge of core payment concepts like SCA, Tokenization, MIT/CIT, AFT/OCT, and the technical drivers of authorization rate optimization.
- Direct experience with payments ecosystem, including knowledge of key local payment methods and acquiring capabilities
- Fluency in other languages is an advantage.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
Make a difference.
Are you looking for something new in your career? Enjoy a challenge? Love to innovate and learn? This is an exciting opportunity to join a technology startup in a high growth phase. Our Enterprise Solutions Engineering team are our in-house, customer-facing product experts. The Enterprise SE team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure they are happy and successful. We share our technical and product expertise with customers through demos, hands-on enablement, presentations, technical evaluations and ongoing interaction. We also partner closely with our Sales team to help qualify and close opportunities. The Enterprise SE team is also one of the primary routes of communication from our customers through into the Product Management and Engineering teams.
What You’ll Be Doing:
Join as an early member of a high growth team working together to solve technical and customer problems the right way
Partner with our Sales team to articulate the overall Grafana value proposition, vision, and strategy to customers
Own the technical engagement with customers and help to close high-velocity opportunities through advanced competitive knowledge, technical skill, and credibility
Deliver product and technical presentations to potential and existing customers
Proactively communicate with customers and internal teams to provide a feedback loop on our products and the competitive landscape
Drive product conversations based on need and problems learned during customer interactions
Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles, and create other public and internal enablement material
What Makes You a Great Fit:
Ideally located on the West Coast
5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space while we will be adding more junior folks later on, right now we just need team members that can hit the ground running.
We’re a startup so your job duties will be varied and complex and will require strong judgment, collaboration, and leadership
We are a remote-first company so you would need to learn to work and collaborate with an international team
You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products
You will love solving technical challenges and thrive on bringing creative solutions to our customers
You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table!
You are self-motivated, initiative, creative, and maybe you’ve already done a brave thing or two in your life!
Compensation & Rewards:
In the United States the OTE (On-Target Earnings) compensation range for this role is $204,000 - $254,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
ГибридSan Francisco; Seattle; New York City
San Francisco, CA • New York, NY • United States
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ГибридNew York, NY (HQ); San Francisco, CA; Relocation expense coverage to NYC or SF (if needed)
УдалённоГеография найма не уточнена
Brazil - Remote
Mexico City, Mexico; Ability to support flexible timezone meetings periodically
Противоречивые условия: Most full-time research roles at Anthropic require relocation to San Francisco
San Francisco, CA | New York City, NY; Most full-time research roles at Anthropic require relocation to San Francisco
ОфисBoston, MA
УдалённоГеография найма не уточнена
УдалённоRemote - USA
УдалённоUnited States; Applicants must live within 60 minutes of a major airport in the posted states associated with this role and able to travel around 3–4-hour radius of where they live; No relocation reimbursement is offered
San Francisco, California
ОфисLisbon
ГибридAtlanta; San Francisco; New York; Please note that unfortunately, we do not offer relocation assistance for this role at this time
