Location: Malaysia; Kuwait; Oman; Amman, Jordan; Saudi Arabia
Workplace: remote
We’re running a short video data collection project for one of our clients. We’re looking for native Arabic speakers across multiple Arabic-speaking countries and dialects to record a 15–20 second video, speaking naturally in Arabic and looking directly into the camera. The videos collected will be used to help train and evaluate an AI model that distinguishes real, human-recorded video from AI-generated (synthetic) video.
Project Details:
Start Date: ASAP
Duration: 1 session
Commitment: 1 hour.
Job Type: Freelance
Location: Malaysia/Oman/Kuwait/Jordan/Türkiye/UAE/Saudi Arabia/Qatar (Remote)
Language/Dialects:Yemeni Arabic
Pay Rate: $4.00-$15.00 (Depending on country location)
Eligibility
18 years of age or older.
Native Arabic speaker (self-identified). You may be asked to complete a brief screening step to confirm your dialect before your submission is finalized.
What you’ll do
Record a single 15–20 second video in your native Arabic
dialect
.
Speak naturally (no script). Suggested prompts: briefly introduce yourself, mention where you live, or talk about an interest/hobby.
Look directly at the camera the whole time.
After recording, answer a few short questions about yourself (e.g. age range, country, dialect) to help us organize the dataset.
Recording specifications (must meet all to be accepted)
Video quality: 1080p or higher
Length: 15–20 seconds
Framing: Head-and-shoulders, face centered and fully visible
Lighting/background: Well-lit face (no harsh shadows), plain/neutral background
Expression: Neutral/relaxed while speaking naturally
Audio: Clear speech, no background noise, music, or echo
Orientation: Portrait or landscape acceptable (hold steady, no shaky footage)
Environment: Quiet indoor setting preferred
Prohibited: Filters/beauty modes, sunglasses, hats/hoods, face coverings, headphones/earbuds, watermarks, stickers, borders, other people/pets in frame
Your Privacy
Before you begin, you’ll be asked to review and accept a consent form explaining how your video and any information you provide will be used, stored, and who it will be shared with.
УдалённоMalaysia; Kuwait; Oman; Amman, Jordan; Saudi Arabia
Location: Turkey; Oman; Kuwait; Saudi Arabia; Dubai, UAE
Workplace: remote
We’re running a short video data collection project for one of our clients. We’re looking for native Arabic speakers across multiple Arabic-speaking countries and dialects to record a 15–20 second video, speaking naturally in Arabic and looking directly into the camera. The videos collected will be used to help train and evaluate an AI model that distinguishes real, human-recorded video from AI-generated (synthetic) video.
Project Details:
Start Date: ASAP
Duration: 1 session
Commitment: 1 hour.
Job Type: Freelance
Location: Malaysia/Oman/Kuwait/Jordan/Türkiye/UAE/Saudi Arabia/Qatar (Remote)
Language/Dialects: Iraqi Arabic
Pay Rate: $4.00-$15.00 (Depending on country location)
Eligibility
18 years of age or older.
Native Arabic speaker (self-identified). You may be asked to complete a brief screening step to confirm your dialect before your submission is finalized.
What you’ll do
Record a single 15–20 second video in your native Arabic
dialect
.
Speak naturally (no script). Suggested prompts: briefly introduce yourself, mention where you live, or talk about an interest/hobby.
Look directly at the camera the whole time.
After recording, answer a few short questions about yourself (e.g. age range, country, dialect) to help us organize the dataset.
Recording specifications (must meet all to be accepted)
Video quality: 1080p or higher
Length: 15–20 seconds
Framing: Head-and-shoulders, face centered and fully visible
Lighting/background: Well-lit face (no harsh shadows), plain/neutral background
Expression: Neutral/relaxed while speaking naturally
Audio: Clear speech, no background noise, music, or echo
Orientation: Portrait or landscape acceptable (hold steady, no shaky footage)
Environment: Quiet indoor setting preferred
Prohibited: Filters/beauty modes, sunglasses, hats/hoods, face coverings, headphones/earbuds, watermarks, stickers, borders, other people/pets in frame
Your Privacy
Before you begin, you’ll be asked to review and accept a consent form explaining how your video and any information you provide will be used, stored, and who it will be shared with.
УдалённоTurkey; Oman; Kuwait; Saudi Arabia; Dubai, UAE
Location: Boston Office
Workplace: Hybrid
OUR STORY
Pointr is the market leader in Indoor Mapping, Location and Analytics, and the inventor of AI-based map production. Its innovative (20+ patents) Pointr Maps™ platform is used by millions of users across offices, retail locations, airports, hospitals, and more every month.
As the top choice of Fortune 100 customers and billions of sqft. deployed globally (30+ countries), Pointr is always on the lookout for great team members to support its fast growth. Our core values are Ownership, Harmony, and Scale, and we look for Passionate, Kind, and No-Ego team members to join the team.
OUR STORY
Pointr is the market leader in Indoor Mapping, Location and Analytics, and the inventor of AI-based map production. Its innovative (20+ patents) Pointr Maps™ platform is used by millions of users across offices, retail locations, airports, hospitals, and more every month.
As the top choice of Fortune 100 customers and billions of sqft. deployed globally (30+ countries), Pointr is always on the lookout for great team members to support its fast growth. Our core values are Ownership, Harmony, and Scale, and we look for Passionate, Kind, and No-Ego team members to join the team.
ROLE OVERVIEW
We’re looking for a Business Development contractor to test and build an early pipeline across two areas that don’t yet have dedicated go-to-market coverage: our emerging Data Strategy offering and our Retail & Aviation vertical. This is a hands-on, individual-contributor engagement for someone who enjoys the ambiguity of an early-stage motion, prospecting, opening doors, and validating demand.
This is a fixed-term contract engagement (approximately 3–6 months), not a full-time position. Based on results, this could evolve into a longer-term or full-time role.
WHAT YOU'LL DO
- Prospect and generate net-new pipeline across two squads that currently have no dedicated business development coverage: New Markets.
- Identify and qualify target accounts and use cases for Pointr’s data strategy/analytics offering, and for retail and aviation indoor-mapping opportunities.
- Run outbound outreach (calls, email, LinkedIn, events) to generate qualified first meetings for the sales team.
- Test and refine messaging and positioning for these two developing motions, and report back on what does and doesn’t resonate with prospects.
- Partner with the CEO and Customer Advocates to hand off qualified opportunities cleanly into the existing sales pipeline.
- Document learnings, objections, and market feedback to inform a recommendation on whether/how Pointr invests further in either motion.
WHAT SUCCESS LOOKS LIKE
- First 30 days: ramp on Pointr’s data strategy and retail/aviation offerings, build a target account list for both squads, and begin outbound.
- 90 days: qualified pipeline generated and handed off to sales for both squads, with a clear read on which motion (if either) merits further investment.
- End of contract: a documented recommendation to leadership on next steps — including whether to convert this into a permanent role.
WHAT WE SEEK
- Experience in business development, sales development, or early-stage go-to-market roles, ideally within B2B SaaS or technology.
- Comfortable operating with ambiguity and limited structure — this is a test-and-learn engagement rather than an established playbook.
- Strong outbound prospecting and qualification skills, with a self-starter, “hunter” mindset.
- Ability to work independently and report back clearly and honestly on what is and isn’t working.
- Comfortable representing Pointr across two fairly different domains (data/analytics and retail/aviation venues) within the same engagement.
- Based in the United States.
- Professional fluency in English, both written and verbal.
PREFERRED QUALIFICATIONS
- Experience in retail, aviation, events, or location/data analytics technology.
- Proven track record in sales development or outbound growth, ideally focused on B2B SaaS solutions.
- Prior experience in a contract, consulting, fractional, or interim capacity.
- Familiarity with CRM and pipeline tools (e.g., HubSpot, Monday, etc ).
COMPENSATION
Contract rate: $55–$75 per hour.
WE SUCCEED TOGETHER
Great outcomes happen when talented, diverse people come together with a shared purpose. We value empathy, humility, and expertise, and we believe the best ideas come from collaboration, thoughtful challenges, and open feedback.
We empower our teams with clear goals and ownership, creating an environment where everyone can contribute, grow, and succeed. We take responsibility for our individual and collective development, celebrate our progress, learn from our experiences, and recognize the impact we create together.
We are committed to providing an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or recruiting process, please reach out to your recruiter or contact our team at hiring@pointr.tech.
Do Not Meet Every Requirement? Apply anyway. We are not looking for perfect resumes. We are looking for the right teammate who is excited to contribute to our mission and grow with us.
WE SUCCEED TOGETHER
Great outcomes happen when talented, diverse people come together with a shared purpose. We value empathy, humility, and expertise, and we believe the best ideas come from collaboration, thoughtful challenges, and open feedback.
We empower our teams with clear goals and ownership, creating an environment where everyone can contribute, grow, and succeed. We take responsibility for our individual and collective development, celebrate our progress, learn from our experiences, and recognize the impact we create together.
We are an equal opportunity employer and are committed to building a company that embraces and celebrates diversity and inclusion. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. We have read the studies and understand that diverse teams build better products, bring more perspective to the table, contribute to a company’s financial success, and help foster a more inclusive environment for all employees, but the bottom line is that it's the right thing to do.
We are committed to providing an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or recruiting process, please reach out to your recruiter or contact our team at hiring@pointr.tech hiring@pointr.tech.
A NOTE ON THE USE OF AI IN OUR INTERVIEW PROCESS
While we understand that AI is an important tool in a modern skillset, we ask that you do not utilize AI assistants live on our interviews. Of course, use any tools you need to prepare! But we'd like for you to have a real human-to-human conversation with our team.
On our end, we utilize a platform called Granola as a notetaker and review tool to ensure a fair and transparent hiring process.
Beware of scammers! All legitimate communication from Pointr regarding your application will come directly from an @pointr.tech http://pointr.tech email address and through our applicant tracking system, Ashby. We will never ask for personal financial information or conduct interviews outside of these official channels.
Location: Macedonia; Georgia; Moldova; Romania; Greece; Croatia; Kosovo; Serbia
Workplace: remote
In 2017, Belkins started as an appointment-setting agency with just one service offering. Fast-forward to today, and we've transformed into Belkins Group — a vibrant ecosystem of services and products that define the cutting-edge landscape of the SalesTech and MarTech industries. For seven years running, we’ve been the top appointment-setting agency, achieving amazing results across 50+ industries worldwide.
Our results speak for themselves: with over 1,000 clients and a global portfolio, we’ve set up more than 200,000 appointments, delivering a $10 return for every $1 spent. We’re experts in B2B appointment setting, providing essential services for companies ready to take their growth to the next level. By diving deep into lead research and using customized, omnichannel strategies, we turn opportunities into real success.
Joining Belkins means signing up for a journey of unstoppable growth and success, driven by curiosity, dedication, and a commitment to excellence.
We are looking for a results-driven SDR to join our intake pod - the team that runs new clients through their first three months at Belkins. Each pod is built around an Account Strategist who owns client strategy through the pilot, supported by a Delivery Lead, Content Strategist, Researcher, and Email Deliverability Specialist. This structure means the technical side of outreach is handled for you - your focus is on calling and converting prospect responses into booked appointments.
You will work across multiple pilot-stage client projects at once (typically 3-4), running high-volume cold calling via power dialer and personally managing all replies from automated email and LinkedIn campaigns. Because every account is brand new, the meetings you book in the first weeks carry extra weight - they're often a client's first real proof that the engagement is working.
Things You’ll Be Doing:
Cold Calling
Running outbound calling campaigns via power dialer (Koncert) across multiple (3-4) pilot-stage client projects at once - every account brand-new, so there's no history to lean on and no slow ramp-up;
Handling objections live, on the call, and steering each conversation toward a booked appointment, not just working through a script;
Tracking connect rate and call-to-meeting conversion, flagging performance issues to your Account Strategist before they become a pattern - with only three months on the clock, a slow week can't go unnoticed.
Reply Handling — Email & LinkedIn
Personally owning
every reply
that comes in from automated email
(Reply.io / Inbox AI)
and LinkedIn
(Expandi)
campaigns -responding within 4–8 working hours, handling objections in writing, and nurturing prospects until they convert into confirmed meetings;
Scheduling appointments and sharing meeting details with the team via Slack.
Campaign Oversight & Reporting
Monitoring key metrics across every project - connect rate, reply rate, conversion rate - as your own numbers, not someone else's dashboard.
Feeding structured feedback to Research, Content, and EDS so lead quality and messaging actually improve, not just flagging that something isn't working.
Keeping CRM hygiene tight in
HubSpot
and sharing a weekly recap your Account Strategist can actually use.
What You Bring:
2+ years
of outbound SDR experience with a strong
cold calling background
;
Fluent English - written and spoken - comfortable working across US and European time zones;
Metrics-driven:
you track your dials, connect rates, and conversion numbers and know how to improve them;
Strong objection handling and a consistent track record of landing next steps;
Comfortable working brand-new accounts with no track record yet, and able to manage multiple pilot-stage client projects in parallel without losing quality or pace;
Reliable
CRM hygiene
and disciplined follow-up across all open threads;
Self-starting and proactive - you hold your pace without needing external pressure.
How We Hire:
Recruiter Interview
(~30 minutes) — with Yuliia or Inna.
Practical Task
(~60–90 minutes) — a written exercise covering outbound thinking, objection handling, and lead prioritization.
Hiring Manager Interview
(~45–60 minutes) — a conversation with the SDR Enablement Manager covering the details of your work, performance analytics, and a live cold-call roleplay.
Final Interview
(~60 minutes) — with the Managing Director and HR Business Partner to assess company fit and explore your values and working style.
Offer & Onboarding
— if it's a yes, we move fast.
*We may use AI tools to support parts of the hiring process. Final decisions are made by humans. Contact us for information on data processing.
At Belkins, we care deeply about our team members, and we prove it through:
Competitive Pay: Your dedication deserves more than recognition; it deserves compensation that matches your expertise.
Remote-First Flexibility: We’ve transitioned to a fully remote environment so you can work where you're most productive. Our flexible hours help you stay agile and focused.
Professional Growth: We’re a launchpad for your career. Through regular feedback, 1:1s, internal mobility, and knowledge-sharing, your growth is enabled and celebrated. We also maintain an internal wiki for insights and a library of the latest business books to keep you sharp.
Well-being focus: Your mental health is a priority. We offer mental health lectures and support for your overall well-being.
Recharge Time: We prioritize your rest with 20 paid vacation days, parental leave, fully covered sick days, and unlimited days off for unexpected needs.
Global Sync: We align with U.S. holidays to keep our global teams in sync.
Memorable Team Experiences: Work hard, play hard — even from a distance. Our online team-building events and all-hands gatherings bring humor, memes, and a lively atmosphere that makes teamwork genuinely fun.
Location: Amman, Jordan; Kuwait; Oman; Dubai, UAE
Workplace: remote
We’re running a short video data collection project for one of our clients. We’re looking for native Arabic speakers across multiple Arabic-speaking countries and dialects to record a 15–20 second video, speaking naturally in Arabic and looking directly into the camera. The videos collected will be used to help train and evaluate an AI model that distinguishes real, human-recorded video from AI-generated (synthetic) video.
Project Details:
Start Date: ASAP
Duration: 1 session
Commitment: 1 hour.
Job Type: Freelance
Location: Malaysia/Oman/Kuwait/Jordan/Türkiye/UAE/Saudi Arabia/Qatar (Remote)
Language/Dialects:Levantine Arabic
Pay Rate: $4.00-$15.00 (Depending on country location)
Eligibility
18 years of age or older.
Native Arabic speaker (self-identified). You may be asked to complete a brief screening step to confirm your dialect before your submission is finalized.
What you’ll do
Record a single 15–20 second video in your native Arabic
dialect
.
Speak naturally (no script). Suggested prompts: briefly introduce yourself, mention where you live, or talk about an interest/hobby.
Look directly at the camera the whole time.
After recording, answer a few short questions about yourself (e.g. age range, country, dialect) to help us organize the dataset.
Recording specifications (must meet all to be accepted)
Video quality: 1080p or higher
Length: 15–20 seconds
Framing: Head-and-shoulders, face centered and fully visible
Lighting/background: Well-lit face (no harsh shadows), plain/neutral background
Expression: Neutral/relaxed while speaking naturally
Audio: Clear speech, no background noise, music, or echo
Orientation: Portrait or landscape acceptable (hold steady, no shaky footage)
Environment: Quiet indoor setting preferred
Prohibited: Filters/beauty modes, sunglasses, hats/hoods, face coverings, headphones/earbuds, watermarks, stickers, borders, other people/pets in frame
Your Privacy
Before you begin, you’ll be asked to review and accept a consent form explaining how your video and any information you provide will be used, stored, and who it will be shared with.
Location: Saudi Arabia; Oman; Kuwait; Dubai, UAE; Amman, Jordan
Workplace: remote
We’re running a short video data collection project for one of our clients. We’re looking for native Arabic speakers across multiple Arabic-speaking countries and dialects to record a 15–20 second video, speaking naturally in Arabic and looking directly into the camera. The videos collected will be used to help train and evaluate an AI model that distinguishes real, human-recorded video from AI-generated (synthetic) video.
Project Details:
Start Date: ASAP
Duration: 1 session
Commitment: 1 hour.
Job Type: Freelance
Primary Location: Malaysia/Oman/Kuwait/Jordan/Türkiye/UAE/Saudi Arabia/Qatar (Remote)
Language/Dialects: Gulf Arabic
Pay Rate: $4.00-$15.00 (Depending on country location)
Eligibility
18 years of age or older.
Native Arabic speaker (self-identified). You may be asked to complete a brief screening step to confirm your dialect before your submission is finalized.
What you’ll do
Record a single 15–20 second video in your native Arabic
dialect
.
Speak naturally (no script). Suggested prompts: briefly introduce yourself, mention where you live, or talk about an interest/hobby.
Look directly at the camera the whole time.
After recording, answer a few short questions about yourself (e.g. age range, country, dialect) to help us organize the dataset.
Recording specifications (must meet all to be accepted)
Video quality: 1080p or higher
Length: 15–20 seconds
Framing: Head-and-shoulders, face centered and fully visible
Lighting/background: Well-lit face (no harsh shadows), plain/neutral background
Expression: Neutral/relaxed while speaking naturally
Audio: Clear speech, no background noise, music, or echo
Orientation: Portrait or landscape acceptable (hold steady, no shaky footage)
Environment: Quiet indoor setting preferred
Prohibited: Filters/beauty modes, sunglasses, hats/hoods, face coverings, headphones/earbuds, watermarks, stickers, borders, other people/pets in frame
Your Privacy
Before you begin, you’ll be asked to review and accept a consent form explaining how your video and any information you provide will be used, stored, and who it will be shared with.
УдалённоSaudi Arabia; Oman; Kuwait; Dubai, UAE; Amman, Jordan
Location: Dublin
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey’s in‑house legal team is a global group of lawyers and legal professionals operating across multiple disciplines. As we expand across EMEA, we are looking for a privacy lawyer to join our growing legal team. You will play a key role, working directly with our Head of Privacy, in maintaining and promoting a culture of privacy and security within the organization. In this role you will collaborate closely with legal colleagues in the commercial team and our sales/ Go-To-Market team, advise the engineering and product teams to ensure that our business practices adhere to privacy laws and regulations globally, and partner closely with the security function to safeguard and maintain the integrity of our data.
WHAT YOU'LL DO
- Assist in drafting, reviewing, and negotiating Data Processing Agreements with our customers, subprocessors, service providers, and third-parties.
- Help develop, maintain, and scale global privacy programs. This includes preparing Data Protection Impact Assessments to identify and mitigate privacy risks and Records of Processing in accordance with regulatory requirements.
- Work cross functionally with talented product and engineering teams in evaluating the impact of privacy and data protection laws and regulatory guidance on exciting product developments.
- Monitor and respond to changes in privacy laws and regulations, including AI regulations.
- Support implementation and ongoing compliance with AI-specific regulation, including the EU AI Act, UK AI governance frameworks, and related guidance.
- Assist in classification of AI systems, assessment of risk obligations, and development of internal AI governance controls, documentation, and processes.
- Partner with legal, product, and compliance stakeholders on AI principles such as transparency, accountability, and human-oversight.
WHAT YOU HAVE
- Qualified lawyer with 4+ years of post-qualification experience in privacy and data protection
- Proven expertise in EU and U.S. data protection law, with familiarity across global compliance frameworks
- Excellent drafting and negotiation skills, with the confidence to represent Harvey on matters relating to data privacy, AI, and security
- Strong interpersonal skills, with the ability to collaborate effectively across legal and business teams
- Highly responsive and detail-oriented, with the ability to balance strategic thinking and hands-on execution
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-JM1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
ABOUT THE COMPANY:
Salesloft is building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining scale, insights, and AI innovation, they are building the industry's first Predictive Revenue System to enable humans and AI to work together for smarter decisions and consistent growth. With thousands of customers using their platforms daily, they have a unique view into how revenue is won, offering a chance to transform the category and set new benchmarks for modern revenue teams.
THE OPPORTUNITY:
Enterprise Account Directors are key members of the sales team responsible for building personal relationships and ensuring customer success. Responsibilities include:
— Full-Cycle Account Ownership: primary commercial lead for large enterprise accounts, managing renewals, expansions, and cross-sell transactions.
— Driving Net-New Revenue: identifying and closing new revenue within existing accounts, navigating complex organizations to displace incumbents and introduce new products.
— Strategic Account Planning: creating and implementing account success plans aligning technology value with business goals.
— Proactive Retention Management: monitoring account health to identify churn risks and implementing strategies to protect recurring revenue.
— Executive Relationship Building: establishing multi-threaded stakeholder networks including VP and C-level executives.
— Executive Business Reviews: leading regular reviews to demonstrate ROI, socialize new capabilities, and maintain platform indispensability.
— Forecasting & Pipeline Accuracy: maintaining data-driven sales processes and providing accurate forecasts.
— Market & Competitive Intelligence: staying updated on industry trends and competitors to position value propositions effectively.
— Orchestrating Internal Resources: leading cross-functional teams to ensure cohesive customer experiences.
— Voice of the Customer Advocacy: providing client feedback and market insights to Product and Engineering teams to influence roadmaps.
WHAT WE'RE LOOKING FOR:
— 7+ years of proven relationship building and closing experience in sales.
— Experience establishing strategic C-level relationships.
— Ability to manage full sales lifecycle within the Enterprise segment.
— Experience delivering detailed product presentations and demos to executives and sales managers.
— Skilled in leveraging internal resources like Sales Engineers and Customer Success.
— Collaborative mentality prioritizing team success.
— Excellent listening skills to understand and overcome objections.
— High empathy and interpersonal skills.
— Experience managing, expanding, and renewing customer relationships.
— Consistent quota and revenue overachievement.
— Ability to conduct compelling presentations to C-Level executives.
THE TEAM:
The Enterprise Account Director team consists of motivated SaaS sales professionals who are self-motivated, ambitious, and passionate about sales innovation.
INCLUSION:
Salesloft is committed to an inclusive workplace and is an Equal Opportunity Employer. They encourage applications from all backgrounds and provide employment without discrimination.
COMPENSATION:
Base pay range is $100,000 to $150,000 USD annually, with potential performance bonuses, benefits, and other incentives. Compensation depends on skills, experience, certifications, and location.
APPLICATION:
Apply via the provided link.
About Upsun (formerly Platform.sh): Upsun is a cloud application platform designed for hybrid teams where AI agents write and test code and humans focus on problem-solving. It offers predictable performance, secure and compliant environments, real-time observability, fast cloning and provisioning, and AI-ready features. The company supports a global remote workforce and values curiosity, innovation, and collaboration.
Impact of a Customer Retention Manager:
As a Customer Retention Manager, you will protect and grow revenue across a high-volume portfolio of customer accounts through proactive human outreach and health monitoring. You will build relationships at scale, catch risks early, and ensure renewal conversations are natural and low-friction. You will work within workflows, health scoring, automation, and segmentation to scale retention effectively. Reporting to the VP of Customer Success, you will collaborate with Sales, Customer Success, Product, Data, and GTM teams to inform retention strategy and engagement models.
What to expect:
— Manage a rolling pipeline of customer renewals, initiating conversations ahead of contract expiration and driving accounts to close.
— Help build and improve scalable retention and renewal workflows using Salesforce and integrated tools.
— Own direct outreach to smaller and long-tail accounts by proactively building relationships.
— Contribute to designing customer lifecycle journeys, engagement triggers, and tech-touch motions.
— Use customer health scoring frameworks to identify at-risk accounts early and develop save strategies.
— Support implementation of automated outreach, lifecycle campaigns, and renewal risk workflows, and identify opportunities to leverage AI and automation.
— Negotiate pricing, contract terms, and multi-year agreements within company guidelines.
— Partner with Customer Success Managers and Account Executives to identify and close upsell and cross-sell opportunities during renewals.
— Collaborate closely with internal teams to support retention strategy and customer engagement.
What you bring:
— Experience managing a rolling renewal pipeline and engaging customers ahead of contract expiration.
— Commercial negotiation skills for pricing, contract terms, and multi-year agreements.
— Ability to identify at-risk accounts early and collaborate on save strategies.
— Hands-on experience with Salesforce or similar CRM, including operational workflows or lifecycle processes.
— Solid understanding of customer health scoring, lifecycle automation, and retention strategy.
— Proven ability to identify upsell and cross-sell opportunities in partnership with CSMs and Account Executives.
— Comfort operating across customer-facing engagement and systems/process design conversations.
— Commitment to continuous improvement and seeking better ways to engage customers and support scalable operations.
Where we hire:
Remote work with focus on candidates located in the UK, France, Spain, Germany, or Canada. No visa sponsorship available; candidates must be authorized to work in these countries.
How we hire:
Four video interviews via Google Meet: Talent Acquisition (45 min), Hiring Manager (60 min), Team (60 min), Executive (45 min). Background checks required.
What we offer:
— A product with positive impact as a proud B Corp.
— Recognized workplace by Forbes and France’s Best Workplaces for Women.
— Flexible, open, and inclusive culture valuing employee voice.
— Global diverse team.
— Benefits including flexible PTO, comprehensive healthcare (UK, Canada, France, Spain, USA), company stock options, professional development budget, office equipment budget, wellness budget, annual team gatherings, internet reimbursement, inclusive parental leave, and remote work travel program.
You belong here:
Upsun celebrates diversity and fosters an inclusive, equitable, and supportive workplace. Accommodations are available during the hiring process to ensure accessibility and comfort.
Location: Remote-Friendly, United States; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Team
The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do.
What You’ll Do:
Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments.
Penetration test specific, high value deployments.
Contribute to AI-assisted security testing tooling and workflows.
Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios.
Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps.
Who You Are:
5+ years of hands-on experience in red teaming and offensive security operations
Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines
Track record of discovering novel attack vectors and chaining vulnerabilities creatively
Experience conducting adversarial simulations against well-defended environments
Strong engineering skills (Python, Go, or similar)
Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes
Collaborative approach, working in close collaboration with the blue team
Strong candidates may also have experience with:
Prior work at organizations with state actor threat models
Interest in AI safety and how security engineering contributes to responsible AI developments
Background testing AI/ML systems or agentic workflows
Familiarity with detection engineering and SIEM/EDR platforms from the defensive side
Experience with data center security or hardware-based attacks
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As a Data Engineer on the Data Science & Analytics team, you will build the data foundation for Anthropic’s quote-to-cash lifecycle: the path a deal takes from opportunity through revenue. You will design the canonical data models so that Sales, Deal Desk, Order Management, Revenue Operations and Finance work from one governed, auditable definition of what was sold, on what terms, and where each deal stands. You will partner closely with DS&A and with GTM and Finance systems teams who own Salesforce, CPQ and billing to make quote-to-cash data reliable, well-modeled and self-serve as our business scales.
Responsibilities
Understand the data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales systems teams, and translate them into technical requirements
Design, build and own data models that transform raw Salesforce, CPQ, and billing data into canonical datasets
Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
Partner with Salesforce, CPQ and billing engineers on upstream schema changes, new fields and ingestion so the warehouse faithfully mirrors the systems of record
Build foundational data products, dashboards and tools to enable self-serve analytics to scale across GTM teams
Influence stakeholder roadmaps from a data perspective, and become the expert on Anthropic’s GTM data models and architecture
You might be a good fit if you have
5+ years of experience as a Data Engineer, Analytics Engineer or in a similar Data Science & Analytics role, ideally partnering with GTM, Revenue Operations or Finance teams.
A passion for the company's mission of building helpful, honest, and harmless AI.
Hands-on experience modeling Salesforce data and at least one adjacent quote-to-cash system: CPQ, contract lifecycle management, billing and invoicing, or ERP.
Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
Expertise in SQL and Python to transform data into accurate, clean data models.
Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
A bias for action and urgency, not letting perfect be the enemy of the effective.
A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
Experience building an Analytics Data Engineering (or similar) function at start-ups.
A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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 | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Salesforce Developer at Anthropic, you will design, build, and maintain the Salesforce platform that powers our core customer motions and quote-to-cash business.: This includes automation throughout the Salesforce platform ranging from core sales automation to product catalog and pricing, quoting and approvals, order and contract management, and the handoff to billing and provisioning. You'll work both autonomously and collaboratively across RevOps, Order Management, Legal, Billing Engineering, Deal Desk, Finance and Accounting, and Product to translate pricing and packaging requirements into scalable Apex, Flow, and integration solutions, and to extend our capabilities with custom code where necessary. We are an AI-first systems team, and you'll be expected to use Claude and our in-house AI development tooling as a core part of how you write, review, and ship code, always against our house standards for flexibility, maintainability, and scale.
Where you might sit
We're hiring across more than one team. Placement depends on your background and where you can have the most impact.
GTM Systems:
Builds and runs the Salesforce platform and connected tools that Anthropic's sellers, sales leaders, and revenue operations teams rely on every day. You'd build the automation behind how deals move through the pipeline, how leads and accounts reach the right owner, and how information flows between our sales tools and the rest of the business. You'll work directly with the analysts and operators who define the process, and see the impact on the people who use what you ship.
QTC Experiences:
A vertically integrated team that spans quoting through to provisioning agreements, as well as customer billing experiences over the term of their agreement. You'd build the foundational systems for CPQ, order management, provisioning and billing experiences, envisioning how we make our sellers and ops teams orders of magnitude more efficient with Claude. You'll work cross-functionally with GTM, finance, accounting and other stakeholders. Your work will directly impact seller velocity and our GTM deal making capacity.
Key responsibilities
Develop and maintain Apex (triggers, services, selectors, batch/queueable), Lightning Web Components, and Flow automation following our house Apex standards and trigger framework
Design and build quote-to-cash infrastructure in Salesforce, including the product catalog and pricing data model, quote and order lifecycle, discount and approval automation, and amendment, renewal, and co-termination flows
Extend CPQ and expand into agentic selling with custom pricing and quote-calculation logic, quote and order user experiences, and code built against the package's APIs and data model
Build and own integrations between Salesforce and our billing, provisioning, and finance systems, such as Stripe, Metronome, and NetSuite, directly or via middleware
Support new product and pricing launches by modeling catalog, SKU, and pricing changes so they can be released quickly and reflected consistently in every downstream system
Use Claude and our internal AI development tooling as a first-class part of your build and code-review workflow
Partner with Business Systems analysts and Finance to ensure data-model decisions support downstream bookings, forecasting, and revenue reporting
Partner with DevOps on release management for your work: sandbox strategy, source control, peer review, and deployment via SFDX/metadata tooling
Ensure appropriate controls, test coverage, and documentation are in place for an effective control environment, particularly around pricing, discounting, and contract changes
Operate with ambiguity in a rapidly changing business, resolve problems independently, and propose solutions that scale
Minimum qualifications
Hands-on Salesforce development experience (Apex, SOQL, LWC, Flow) in a production org
Experience building or extending CPQ and quote-to-cash functionality in Salesforce (Salesforce CPQ, Revenue Cloud, Nue, or similar): product and pricing data models, quote and order lifecycle, approval automation, and amendments and renewals, including custom code written against the CPQ package rather than configuration alone
Experience integrating Salesforce with billing, ERP, or provisioning systems via REST/Bulk APIs, middleware (Workato, Mulesoft, or similar), or direct callouts
Fluency with SFDX, source-controlled metadata, and a sandbox-to-prod release process with peer review
Active use of AI-assisted development tools (Claude, Copilot, Cursor, or similar) as part of how you write and review code, and the ability to speak to how you steer and verify their output
Basic SQL skills and comfort working alongside a data warehouse
Effective communication with sales, deal desk, finance and accounting, product, and engineering stakeholders
Preferred qualifications
Salesforce Platform Developer I and II certifications
Advanced Administrator or Application/System Architect certification
Deep understanding of Salesforce platform constraints: governor limits, bulkification, sharing and visibility, recursion control, and how they surface in CPQ-specific situations such as large quotes, calculation performance, and bulk amendments
Experience implementing a CPQ solution end to end or re-platforming from one CPQ to another, not just maintaining an existing one
Experience with billing and finance platforms such as Stripe, Metronome, or Oracle, and with usage-based or consumption pricing models
Working understanding of how CPQ design decisions flow through to bookings, invoicing, and revenue recognition
Proven experience scaling Salesforce in a high-growth GTM environment
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$270,000
—
$315,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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 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
Join Anthropic as a Customer Success Manager for Life Sciences. You’ll be a strategic partner and trusted advisor to leading organizations working to accelerate scientific discovery, such as research institutes, academic medical centers, and scientific foundations. You’ll help these organizations harness the full potential of Claude through deep product expertise, use case discovery, and hands-on guidance.
You’ll be part of a Research and Life Sciences account team pod, working as one team with your Account Executive and Applied AI partners. Together you’ll shape account strategy with you taking the lead on adoption, change management, and value realization.
This role doesn’t follow a single playbook. You’ll run a range of Customer Success motions, from deep 1:1 strategic partnership to one-to-many programs like webinars, hackathons, and cohort-based enablement. You’ll choose the motion based on top account and customer priorities and the best way to solve for them.
The insights you gather will directly inform our research priorities, product development (including how Claude for Life Sciences evolves), and strategies for beneficial AI deployment. That makes you a key voice in how we build and deliver AI systems that accelerate science for the benefit of society.
Responsibilities
Build trusting, strategic relationships with research leaders, scientists, principal investigators, and program directors to understand their scientific priorities, organizational goals, and impact objectives
Partner closely with your Account Executive and Applied AI counterparts in the Research and Life Sciences pod on shared account plans, bringing in Product, Support, and other teams as needed
Run the right Customer Success motion for each account and customer priority, whether that’s dedicated 1:1 engagement, cohort-based onboarding, hackathons and build days, office hours, or researcher communities
Become an expert in Anthropic’s products, especially Claude for Science, guiding organizations and their researchers and scientists to the right solutions and most impactful use cases
Monitor usage patterns and proactively drive adoption, identifying optimization opportunities and new applications for Claude across your book of business
Develop and execute change management strategies suited to scientific and academic cultures, including Train the Trainer programs, Center of Excellence development, and enablement that respects partner capacity, governance requirements, and decision-making processes
Guide partners through the technical and governance foundation for launch, including SSO and provisioning, workspace configuration, and data handling considerations for research and health data (such as HIPAA, IRB, and institutional data policies)
Own account and success plans and run Quarterly Impact Reviews that document and quantify value realized, such as research productivity, time-to-insight, and cost savings, and partner with Marketing on success stories and reference accounts
Establish the repeatable playbooks, templates, and health metrics that define what “great” looks like for customer success in life sciences at Anthropic
You may be a good fit if you have
6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or consulting
3+ years of experience in life sciences research, with exposure to new technologies as a catalyst for accelerating progress
Experience working directly with life sciences organizations, such as academic research institutions, research institutes, foundations, biotech, or pharma, and familiarity with how scientific research is conducted, funded, and governed
An understanding of the regulatory, risk, and compliance needs of the industry
Experience driving success across both consumption-based and seat-based business models, with an understanding of the expansion levers and success metrics for each
Experience managing dedicated strategic accounts and delivering one-to-many programs, with the judgment to choose the right motion for the customer priority at hand
Strong cross-functional collaboration skills, including working as part of an account team with Sales and technical partners and advocating effectively for customer needs
Technical fluency in AI/ML concepts, API integrations, and software implementation patterns, and the ability to explain them to audiences ranging from bench scientists and computational researchers to institutional leadership. Familiarity with scientific data types, research workflows, or bioinformatics tooling is a strong plus
A data-driven, AI-first way of working, using adoption signals to guide decisions and building Claude-powered workflows into how you engage partners
Passion for both AI and accelerating scientific progress, with a strong interest in ensuring frontier AI systems are developed safely, ethically, and deployed to benefit society
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves” mentality. You are a true team player
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$200,000
—
$265,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Italy
About our client
Our client is a family-run Japanese company with over
200 years of history
and two key business divisions: food for human consumption and pet food. In Japan, our client is the
No.1 pet food brand
, known for its wide product portfolio and innovative, industry-defining product
“Churu”
. After significant domestic growth, the company continues to expand internationally with the mission to bring joy to pets and their owners worldwide.
They are now seeking a highly motivated
eCommerce Specialist
to join their team and support their growing European operations.
With full budget accountability in alignment with the line manager, the position focuses on building strong, influential relationships with key eRetailers and collaborating with internal stakeholders to deliver actionable insights and innovative solutions. The role will lead the development and execution of mutually beneficial joint business plans that foster sustainable growth for the eCommerce channel and the overall market.
In this position, you will lead and coordinate the eCommerce channel in close collaboration with local market teams for our client. You will drive growth, strengthen client relationships, and ensure operational excellence in the digital space.
Main responsibilities:
Lead eCommerce Strategy:
Develop and execute strategies to grow online sales, traffic, and customer loyalty across key platforms and emerging eRetailers.
Manage Key Accounts:
Act as the primary contact for major eRetailers (e.g., Amazon,…), ensuring strong partnerships and tailored solutions.
Drive Sales Performance:
Oversee distribution, revenue, and budget targets for the eRetailers, ensuring alignment with business objectives.
Plan & Execute Listings:
Prepare and implement annual plans, product listings, and promotional activities to maximize visibility and conversion.
Analyze Market & Assortment:
Monitor market trends, competitor activity, and assortment opportunities to identify new revenue streams.
Monitor & Report KPIs:
Track account performance, provide regular reporting, and ensure achievement of agreed KPIs.
Collaborate Cross-Functionally:
Work closely with marketing, shopper CX, supply chain, and colleagues to share best practices and support overall growth.
Ensure Compliance & Control:
Maintain operational standards, budget adherence, and compliance in all Digital Commerce activities.
Represent the Brand:
Participate in trade fairs and industry events to strengthen our client's presence and build strategic relationships.
Requirements
Education & Experience
University degree or equivalent vocational training.
2-4 years of professional experience in eCommerce, digital sales, or key account management within FMCG or related industries.
Proven track record in managing eCommerce platforms and client relationships (experience with Amazon or similar online-shops is a plus).
Technical & Analytical Skills
Strong knowledge of digital marketing tactics, tools, and trends, with ability to translate them into actionable strategies.
Data-driven mindset: skilled in analysing performance data and making informed decisions to optimize digital channels.
Proficiency in MS Office (Excel, Word, Outlook), Power BI, and familiarity with analytics tools (e.g., Google Analytics).
IT literacy and ability to work with digital tools and platforms.
Commercial & Strategic Skills
Solid business acumen and ability to develop tailored strategies for key accounts.
Understanding of market dynamics, competitor analysis, and decision-making processes.
Ability to interpret customer and market data to identify growth opportunities.
Interpersonal & Communication Skills
Excellent intercultural communication and relationship management skills.
Targeted and persuasive communication style, both written and verbal.
Strong networking and customer orientation.
Languages: Business-level English/Italian
(French and additional European languages are a plus).
Other Requirements
Willingness to travel
for business (as agreed with line manager).
Driving license (Category B
).
Competencies
Drive for Results:
Strong focus on achieving goals and delivering measurable outcomes.
Customer Focus:
Ability to understand and anticipate customer needs and build lasting relationships.
Action-Oriented:
Proactive approach to problem-solving and execution in a fast-paced environment.
Planning & Priority Setting:
Skilled in organizing tasks, managing time, and setting clear priorities.
Communication Skills:
Excellent verbal and written communication, including intercultural competence.
Peer Relationship & Collaboration:
Ability to work effectively across teams and influence stakeholders.
Adaptability:
Comfortable with change and able to adjust strategies quickly.
Key Functional Competencies & Technical Skills
eCommerce Expertise:
Managing online platforms and eRetailers (Amazon, …).
Customer Execution & Measurement:
Delivering flawless execution and tracking performance metrics.
Sales & Customer Communications:
Building compelling propositions and maintaining strong client engagement.
Revenue Management:
Ability to optimize pricing, promotions, and profitability.
Financial & Analytical Acumen:
Strong data interpretation skills to drive insights and decisions.
Digital Marketing Knowledge:
Understanding of tactics, tools, and trends to drive traffic and conversion.
Analytical Skills:
Turning data into actionable insights for growth.
IT & Tools Proficiency:
Advanced MS Office (Excel, Word, Outlook), Power BI, and analytics platforms.
Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security and control commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward continuous assurance, to challenge and evidence the performance of controls continuously rather than through periodic audits.
As Anthropic scales to meet public-company standards, the Sarbanes-Oxley (SOX) control environment over our technology stack is one of the most consequential things this team owns. As part of Security GRC's technical controls assurance function, you will be the voice on what the IT general controls must achieve to support SOX 404 compliance. In partnership with Internal Audit, you will define control requirements and acceptance criteria for the in-scope engineering systems and infrastructure that underpin financial reporting. You will pair with engineering as they design and implement against those requirements, and validate that what ships actually meets the bar before Internal Audit and our external auditors test it. You are the product owner for control design methodology and continuous control monitoring, initially around ITGCs, but extending into other areas of security and compliance to drive visibility where and when we need it.
Key responsibilities
Define control requirements and acceptance criteria across the core ITGC domains of logical access, change management, computer operations, and program development for SOX in-scope systems, including home-built platforms where the control has to be designed into the system rather than bolted on.
Set the bar for in-scope systems from day one. As financially significant systems are built, migrated, or replaced, define what the system must provide (auditability, segregation of duties, change control, immutable logging, evidence retention) before go-live, so controls are not retrofitted after the fact.
Pressure-test changes for SOX impact during design. Review major infrastructure, system, and agent framework changes for control impact while decisions are still cheap, and maintain a clear view of which changes alter the SOX scope, key control population, or evidence requirements.
Own second-line control monitoring and evidence readiness. Stand up continuous controls monitoring and automated evidence collection for ITGCs (control testing, walkthrough preparation, population and completeness validation, and mapping to the common controls framework). Materially raise automated evidence coverage and cut audit prep time.
Drive control deficiency remediation with cross functional partners. Track and root-cause ITGC deficiencies surfaced by monitoring, Internal Audit, or external audit; partner with engineering owners on remediation design; and assess whether remediation actually closes the gap before re-testing.
Assess scope changes through a SOX lens. When new products, entities, systems, or integrations come into scope, provide technical and compliance assessment of their impact on control design, evidence requirements, and engineering effort before commitments are made.
Maintain alignment with the broader compliance portfolio. Where SOX ITGCs overlap with SOC 2, ISO 27001/42001, or other frameworks, ensure controls are designed once and evidenced once, and that changes made for one framework do not silently break another.
Minimum qualifications
Thrive at the pace of a hypergrowth company. You're comfortable making calls with incomplete information and reprioritizing as scope shifts.
Have led or been a senior contributor to an ITGC program through SOX 404 readiness and/or at a public company, with a working command of PCAOB AS 2201, COSO 2013, and how external auditors scope, test, and evaluate technology controls and deficiencies.
Have genuine engineering fluency, possibly from an earlier engineering career: you can read code and Terraform, follow a CI/CD pipeline end to end, and challenge a design on its technical merits.
Have programming skills in Python or at least one systems language such as Go, Rust, or C/C++.
Have deep familiarity with developer platform, release engineering, cloud infrastructure, or ERP/financial systems control domains.
Understand the role of the second line: you can advise and challenge engineering without taking ownership of their controls, and you know where the line sits between your monitoring and Internal Audit's independent testing.
Are a strong collaborator and communicator across Finance, Engineering, Internal Audit, and external auditors.
Use Claude and other LLMs as daily working tools, and have grounded, specific views on which SOX assurance workflows AI can run today and which it can't yet.
Translate SOX and framework language into acceptance criteria engineers can build against, and translate engineering reality back into assurance language auditors and leadership can rely on.
Default to getting the requirement designed into the system rather than papering over the gap with procedure.
Preferred qualifications
A combination of audit or advisory experience (Big 4 or equivalent, ideally IT audit) with in-house experience at an AI-forward tech company, in either order.
Taken a company through a first-year SOX 404(a) and 404(b) assessment, including a first external ITGC audit.
Defined or assessed controls over home-built financially significant systems, usage-based billing, or revenue metering pipelines.
Defined or assessed controls for AI/ML systems or agents acting in production environments.
Stood up continuous controls monitoring or automated evidence programs.
Experience with SOC 1 reliance, service organization control mapping, and complementary user entity controls.
CISSP, CISA, CPA, or equivalent certification.
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:
$410,000
—
$510,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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 | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We launch new products, models and pricing often, and each launch has to work in our systems on day one. A seller needs to be able to quote it, Deal Desk needs to be able to approve it, billing needs to charge for it correctly, and Finance needs to report on it. This role owns how a launch gets into our quote-to-cash systems, from the first pricing conversation to the first invoice.
We are looking for someone who treats every launch as a change across many systems. You will join launch planning early, work out what has to change across catalog, quoting, contracts, billing, tax and reporting, and get all of it ready before the launch date. You will build a good part of the Salesforce work yourself and partner with our Salesforce developers and Billing Engineering on the rest. You will be the named owner of the NPI process for systems, and the person Product, Pricing and Finance call when they want to know what it takes to launch something.
We are an AI-first systems team. You will use Claude as a normal part of how you design, build, test and document, and you will look for ways to make launches faster and more repeatable with AI.
Key responsibilities
Own the systems side of new product and pricing launches, from the first pricing discussion through launch day and the first billing cycle
Turn a pricing and packaging decision into concrete system changes: SKUs, price books, bundles, discount and approval rules, contract terms, billing plans, tax codes and reporting
Build and run a repeatable NPI playbook: intake, a readiness checklist, sign-offs, a launch calendar and a post-launch review
Join launch planning early with Product and Pricing. Push back on pricing ideas that cannot be quoted, billed or reported cleanly, and offer options that can
Design how new pricing models work end to end, including usage-based, seat-based, tiered, committed and multi-year ramp pricing, and which system is the source of truth for each part
Plan the impact on existing customers: moving customers to new SKUs, grandfathering, amendments and co-termination, and how renewals will work
Own end-of-sale and retirement of products and prices, so old SKUs leave the catalog without breaking renewals, billing or reporting
Coordinate the changes across Salesforce, billing and our tax platform, working with the teams who own each system
Partner with Deal Desk, Sales, Finance, Accounting, Tax and Legal so each team signs off on what changes for them before launch
Make sure sellers and Deal Desk are ready on launch day, including quote templates, approval paths, guidance and enablement
Check every launch after it goes live: do quotes, orders, invoices and Finance reports match? Add the control or reconciliation that catches the gaps
Build and ship declarative solutions yourself where that is the right call, and write specs clear enough that developers can build the rest without several rounds of questions
Use AI to shorten launch cycles, for example generating catalog changes from a pricing spec, checking launch readiness, and testing quote and billing scenarios
Minimum qualifications
Experience in GTM or revenue systems as a Business Systems Analyst, Q2C Systems Lead or similar role, with hands-on ownership of product and pricing launches
Experience launching new products or pricing models at a fast-growing company, owning the change across catalog, quoting, contracts and billing
Hands-on experience with Salesforce CPQ, Revenue Cloud or a similar CPQ tool, especially product and pricing data models, price books, bundles and approval rules
Working understanding of how a pricing decision flows into bookings, invoicing, tax and revenue recognition
Experience running a cross-functional process with many sign-offs (Product, Finance, Legal, Sales) and getting to launch on a fixed date
Hands-on Salesforce admin skills (Flow, validation rules, page layouts, approval processes) and comfort building meaningful parts of your own solution
Clear communication across Product, sellers, Deal Desk, Finance, Legal and engineers, adjusting the level of detail for each
Preferred qualifications
Experience in GTM, revenue or finance systems roles
Experience with usage-based or consumption pricing, and with billing platforms such as Stripe, Metronome or Zuora
Experience moving existing customers onto new pricing, including migrations, grandfathering and amendments at scale
Experience with tax setup for new products (tax codes, tax engines such as Anrok or Avalara)
Experience with integrations between Salesforce and billing, ERP or provisioning systems, and comfort reading API payloads and integration logs
Basic SQL and comfort using a data warehouse to check launch data
Salesforce Administrator certification. CPQ Specialist, Advanced Administrator or Business Analyst certification is a plus
Hands-on use of AI tools (Claude or similar) in how you design, build or document systems, and the ability to explain how you check their output
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:
$270,000
—
$315,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a GTM Strategy & Operations Business Partner supporting the
AMER Enterprise
Tech
organization, you will work closely with sales leadership to be a deep expert in a critical segment of our fastest-growing business. This role supports the AMER Enterprise Tech team, one of Anthropic's largest and most strategically significant commercial organizations, and will partner directly with executives to drive strategic analysis, operational efficiency, and growth initiatives while supporting critical global strategic initiatives.
This includes business performance analysis, facilitating operating cadences and powering business reviews, improving operational efficiency, driving strategic initiatives, and supporting the rapid evolution of our sales motions and organization.
We're building for a future where AI dramatically amplifies what strategy teams can accomplish. We're hiring people with the technical depth, business judgment, and executive potential to operate at that frontier — leveraging AI to eliminate routine work and redirect energy toward the strategic and creative challenges that move the business. This role will evolve rapidly, and we need someone with the ceiling and ambition to evolve with it.
Key responsibilities
Strategic Analysis, Operations & Planning
Partner with Sales leaders to analyze and refine segment-specific strategy including territory planning, resource allocation, performance to plan, and growth initiatives
Maintain excellence through business reviews and operating cadences to help achieve company revenue targets and strategic objectives
Be audible-ready about GTM efforts and a deep expert in your segment's book of business and trends with the ability to cut right to what matters for varying audiences from IC to executive
Data-Driven Decision Support
Analyze sales performance metrics and develop insights to optimize segment performance and improve efficiency using SQL, R, or Python to query, model, and visualize data at scale
Leverage Claude to its full capability
Partner to create, evolve and maintain reporting mechanisms, using data to go from "what" to "why"
Synthesize tangible, strategic recommendations based on go-to-market motions, deal outcomes, partner and customer feedback, and product opportunities
Build and maintain dashboards, models, and ad hoc analyses in spreadsheets and BI tools with mastery-level proficiency
Go-to-Market Execution
Develop and maintain use case frameworks to capture and standardize how customers derive value
Support multiple teams and executives in leveraging insights for new deals, expansions, and retention strategies
Partner with GTM teams to evolve and refine sales motions and best practices across segments and regions
Executive Stakeholder Management
Serve as a trusted strategic advisor to senior and executive stakeholders across the GTM organization, delivering insights and recommendations with clarity, conviction, and composure
Navigate high-stakes conversations with intense, demanding executives — maintaining poise under pressure while delivering candid, well-supported perspectives
Build deep credibility through consistent follow-through, proactive communication, and the ability to challenge assumptions respectfully when the data warrants it
Translate complex analyses into executive-ready narratives that drive decisions, managing up effectively across multiple senior leaders with competing priorities
Cross-Functional Collaboration
Work closely with Revenue Operations, Sales Enablement, Strategic Finance, and Product teams to drive initiatives and elevate excellence in course of business
Support coordination between AMER Enterprise sales segments and partnership teams
Help prepare materials for executive reviews and planning sessions
Minimum qualifications
Deep alignment to Anthropic’s mission
Experience in sales strategy, revenue operations, management consulting
Proficiency in SQL or R — you can independently write queries, build models, and extract insights from large datasets without relying on others
Mastery of spreadsheet tools and data (Google Sheets / Excel) — pivot tables, complex formulas, data modeling, and scenario analysis are second nature to you
Strong analytical skills with the ability to translate data into actionable insights and compelling executive narratives
Deep experience with GTM systems like Salesforce and business intelligence tools (Looker, Tableau, etc.)
Proven executive stakeholder management skills — you have a track record of presenting to and influencing C-suite and VP-level leaders in high-intensity environments.
An ability to pull signal through noise and an internal drive to create clarity. You strive for simplicity as the most elegant solution to complex situations.
A demonstrated ability to build trust with and influence a variety of stakeholders, including colleagues and other members of the GTM Strategy and Revenue Operations team
A healthy balance of idealism with pragmatism and the highest internal bar for excellence. You have been accountable for the results of your recommendations.
Track record of driving forward high-growth sales organizations
Disciplined project management and exceptional communication and interpersonal abilities
A desire and readiness to do the best work of your career
Bachelor's degree required; MBA or advanced degree preferred
Preferred qualifications
10+ years of experience in sales strategy, revenue operations, management consulting
Experience in both large Enterprises in technology, finance or professional services, in addition to fast-paced startup building
Experience with AI/ML companies and consumption business models
Prior experience building frameworks for sales use cases or value propositions
Background in scaling sales organizations through 2-3x+ growth periods
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:
$270,000
—
$310,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking an experienced Executive Communications Writer to support and scale the ways our leaders tell our story. In this role, you will work closely with the Head of Executive Communications and other organization leaders to reach priority audiences in ways that compellingly communicate Anthropic's position at the AI research frontier, market-leading commercial posture, and industry-leading commitment to public benefit.
In this role, a given day might include drafting, editing, brainstorming, on-site event support, and coordinating executive response to breaking news, all in close collaboration with the External Communications team and other leaders. The ideal candidate will be an adept storyteller, an experienced partner to leaders, and a flexible collaborator, able to navigate ambiguous situations with sound judgment. When circumstances dictate, you should also be capable of shaping highly technical materials that reach sophisticated audiences with deep domain experience. Because a company like Anthropic — and a technology like advanced AI — are unprecedented in nature, we’re looking for proactive, visionary candidates who offer fresh perspectives on what executive communications might look like in the AI era.
We are particularly interested in candidates with experience and expert capability in at least one domain relevant to Anthropic's roster of executives. These include: science and research; products and AI architecture; enterprise and commercial strategy; and visual storytelling and brand, among others.
Responsibilities:
Originate and shape exceptional executive communications that span a wide array of written and rhetorical formats and platforms
Work cross-functionally with External Communications colleagues and other subject matter experts to drive consequential communications moments that serve strategic goals
Support senior leaders in developing their areas of communications focus and in their preparation for major communications moments
Balance a collaborative ethic with a strategic point of view
You may be a good fit if you:
Have 8+ years of high level executive communications experience, ideally at a high-tempo, industry-shaping organization
Are an exceptional writer and communicator — both on the page, and in high-stakes, fast-moving environments
Are high agency and low ego
Demonstrate comfort and experience in supporting senior leaders
Have a point of view on how forces of change are reshaping traditional communications disciplines, including executive communications
Display strong operational capabilities
Are self-driven with a bias to action
Show excellent judgment and instincts in navigating ambiguous situations
Maintain epistemic humility while making informed decisions
Bring an open and curious mindset to deeply understand technical concepts
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:
$295,000
—
$345,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
ГибридBoston Office
Не хотите искать каждый день?
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ГибридDublin
УдалённоСША
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Remote-Friendly, United States; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
San Francisco, CA | New York City, NY
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УдалённоItaly
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