Location: Remote
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional
Strategic Accounts VP
to join our
Strategic Accounts
team. This role will report to
the jumbo market leader.
This role is critical for retaining and upselling some of Garner’s jumbo employer clients (5,000+), ensuring they have an excellent experience and achieve expected results. The VP becomes a trusted strategic partner on plan design, bending cost trends, and driving plan performance, ultimately driving improved Net Revenue Retention and other KPIs for their book of business.
Where you will work:
Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. Travel up to 25% of the time is expected.
What you will do:
Own the process to retain and upsell some of Garner’s jumbo employer clients (5,000+ lives)
Collaborate with account managers to ensure important clients have an excellent experience
Become our client’s trusted strategic partner on plan design, bending cost trends and driving plan performance
Establish and manage some of the most important strategic broker and client relationships
Monitor overall client health and execute strategic plans to proactively address key account risks
Work with clients to resolve strategic problems and ensure Garner is delivering value to the employer’s health plan and members
Collaborate with product, data, and technology teams to deliver customized reports and presentations demonstrating the value and ROI of Garner
The ideal candidate has:
10+ years of experience in a commercially-oriented account management or sales role in the employee benefits space
Deep health plan design and benefits knowledge, including experience advising jumbo employer clients on benefits strategy and cost performance
Proven results of achieving retention and upsell targets year over year
A self-starter with the strong desire to work in an ambiguous, rapidly evolving, and fast-paced startup environment with notable upside
Excellent communication and presentation skills
Problem solver in ambiguous situations
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range (inclusive of base and bonus) for this position is $320,000 - $350,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Remote
This role may require in-person interview/s in Austin, Texas
About Osano:
Osano is an innovative B-Corporation built around a simple belief: privacy is a fundamental right. Since day one, we’ve been focused on giving modern enterprises the ability to innovate quickly, stay competitive, and earn customer trust by respecting data privacy and complying with consent guidelines. Our products help organizations operate confidently in a rapidly evolving regulatory and technological landscape.
About The Role:
We're looking for a product-minded
Senior Software Engineer
to own meaningful parts of the Osano platform end to end, from shaping a problem with Product to running the result in production.
This role is for an engineer who treats AI tooling as a real force multiplier. You use coding agents and AI-assisted workflows to explore unfamiliar code faster, ship more and remove repetitive work. You also have the judgment to verify everything that goes out under your name. We want someone whose impact goes beyond what they write by hand, and who helps the engineers around them do the same.
You'll work across our React front end, Node.js services, PostgreSQL data stores and AWS infrastructure. You'll partner closely with Product, Design, QA and Security.
This is a remote role. You must be based in, and authorized to work in, the United States.
What you'll do:
Build and ship product, end to end
Lead multi-sprint projects from design through rollout: turn a loosely defined problem into a plan, break it into work that you and others can action, and deliver close to estimate.
Design systems that hold up, and write design docs and decision records that weigh the alternatives.
Partner with Product on scope: propose MVP cuts, phasing and tradeoffs, and measure whether what we shipped actually helped customers.
Engineer with AI to multiply your impact
Use AI coding agents and assistants across the whole development lifecycle: exploring codebases, scaffolding, writing tests, debugging, refactoring, migrations and code review.
Stay accountable for every line you ship. You understand and can explain AI-generated code, and you know where AI shouldn't be trusted.
Turn repetitive engineering work into automation: scripts, agent workflows, and checks that save your team time every week.
Share what works: help define how our teams use AI tools, and how we review and verify AI-assisted work.
Use AI responsibly. Customer and personal data stays out of AI tools except through approved, privacy-safe paths. This is non-negotiable at a privacy company.
Own what you ship in production
Build observability, feature flags and rollback paths into your work from the start.
Take turns on our triage and on-call rotation. Lead incident response for your team's systems, and see postmortem follow-ups through to completion.
Identify tech debt, size it, and make the case to get it into the plan.
Build with privacy and security by design
Apply data minimization, residency, retention and access controls to the systems you design, especially those that handle customer and personal data.
Write secure code and fix vulnerabilities in your area as part of normal work.
Raise the bar and grow others
Give code and design reviews that change outcomes, not just approvals.
Mentor engineers earlier in their careers, and make your team better at testing, reviewing and operating software.
Interview candidates and help us hire well.
About you:
Delightful Experience.
You care about the customer problem, not just the ticket, and you push for what actually helps.
Own Your Impact.
You take full responsibility for outcomes, from the first design doc to how the feature behaves in production at 2 a.m.
Stronger Together.
You put team success ahead of individual wins, give direct and kind feedback, and treat documentation and async communication as first-class work.
Growth Mindset.
You're curious and keep learning, especially as AI changes how software gets built. You're excited about what it can do without overselling it or ignoring its limits.
You're comfortable with ambiguity and create clarity for others through good design and clear writing.
Must-haves:
Typically
5+ years
building and shipping production software. We care more about what you've owned than the number of years.
A track record of
leading multi-sprint projects
from design to production in a team setting.
Strong
JavaScript/Node.js
and
React
experience, and solid
relational database
skills (PostgreSQL preferred).
Strong
system design
fundamentals: data modeling, API design, and naming the tradeoffs.
Experience
owning production systems
: on-call, incident response, observability.
Hands-on, day-to-day use of AI coding tools
such as Claude Code, Cursor or Copilot, with concrete examples of how they made you or your team more effective, and how you verify their output.
Experience
mentoring
other engineers.
Strong
written communication
in a remote, async environment.
Nice-to-haves:
AWS experience (ECS/Fargate, Lambda, S3, RDS), especially multi-region or data-residency work.
Privacy, security or compliance-sensitive B2B SaaS (GDPR, CCPA, SOC 2).
Building AI-powered automations, agent workflows or LLM-based product features.
Data and analytics tooling (Redshift, Athena) or event-driven architectures.
CI/CD, preview/ephemeral environments, end-to-end testing (Cypress).
How we work:
Fully remote, with at least four hours of overlap each day with your team's core hours.
Collaborative and video-on for meetings, and async-first for everything else. Bring people in when they are needed and share what you’re working on with the team.
Regular 1:1 checkins with your manager, with a focus on growth conversations.
Why Us:
We're a welcoming team that's dependable, curious, moves fast, and full of talented people
We're a B-corporation with a mission that matters, in a high-growth space with significant potential
You'll have access to our training program, well-defined career paths, and a leadership team that values professional development
Benefits:
Competitive-pay compensation and ownership interest/equity
Unlimited paid time off, plus a requirement to take at least two weeks off per year
We're a Best Place for Working Parents and offer paid parental leave for all new parents
Osano sponsors individual premiums on base plans at 100% and dependent premiums at 50% for Medical, Dental, and Vision insurance via Aetna
A fully and permanently remote company, so you can work from anywhere in the U.S.
Receive a MacBook and $600 to craft your home workspace
Annual company trip designed to foster connection, creativity, and fun
Mental health benefits with free memberships to mindfulness and talk therapy services
A Bit More About Osano:
Osano is a leading data privacy platform that helps organizations quickly and confidently comply with laws like GDPR, CCPA, and other global privacy regulations. From consent management to vendor risk monitoring, Osano makes complex privacy tasks refreshingly simple, so companies can focus on what they do best, while we handle the rest.
We’re backed by top-tier investors, including Baird Capital, Jump Capital, and LiveOak, and we’re scaling fast with a multi-year runway and ambitious growth plans. We’ve also been recognized as a Great Place to Work for four years running, with 97% of employees saying Osano is a great place to work.
Osano is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, genetic information, disability, veteran status, or any other characteristic protected by applicable law.
A Bit More About Osano
Osano is a leading data privacy platform that helps organizations quickly and confidently comply with laws like GDPR, CCPA, and other global privacy regulations. From consent management to vendor risk monitoring, Osano makes complex privacy tasks refreshingly simple, so companies can focus on what they do best, while we handle the rest.
We’re backed by top-tier investors including Baird Capital, Jump Capital, and LiveOak, and we’re scaling fast with a multi-year runway and ambitious growth plans. We’ve also been recognized as a Great Place to Work for four years running, with 97% of employees saying Osano is a great place to work.
As we grow, we're looking for individuals who lean into modern technologies and smarter systems to drive efficiency, clarity, and speed; both in our product and in how we operate. If you're excited by the idea of helping build a high-growth, privacy-first company that embraces thoughtful automation, emerging tech, and intentional collaboration, we’d love to hear from you.
Osano is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, genetic information, disability, veteran status, or any other characteristic protected by applicable law.
Location: Berlin, Germany; Bremen, Germany; München, Germany
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
As an
Enterprise Account Manager for DACH
, you will own a defined portfolio of TeamViewer's existing enterprise customers in the DACH market, focusing on accounts spending €10K or more in annual recurring revenue.
You will be the primary commercial owner of your accounts, responsible for developing strategic customer relationships, driving renewals and identifying opportunities to expand TeamViewer's footprint. You will own your account strategy and commercial forecast, working closely with customers and internal teams to protect and grow recurring revenue.
This is a
farming-focused role
. New-logo acquisition sits primarily with our Account Executive team, while your focus will be on developing the customers we already have through retention, renewals, cross-sell and expansion.
What you will do
Own a portfolio of up to 40 enterprise accounts at €10K+ ARR, with accountability for retention, renewals and expansion.
Build and maintain strategic account plans for your key customers, including stakeholder maps, renewal timelines, adoption status, expansion opportunities and potential risks.
Proactively manage renewals across your portfolio, engaging customers well ahead of contract end dates, developing a clear value narrative and negotiating commercial terms, including multi-year agreements.
Identify, qualify and close expansion opportunities across additional seats, products and use cases through a consultative, solutions-focused approach.
Build trusted relationships across multiple levels within your customers, engaging both IT decision-makers and relevant business stakeholders.
Maintain an accurate weekly forecast covering renewals and expansion opportunities, with clear stages, next steps and expected close dates maintained in Salesforce.
Take ownership of qualified opportunities handed over from the Enterprise Account Specialist team as customers grow into the enterprise segment, while ensuring smaller opportunities are routed appropriately.
Partner with Enterprise Solution Engineers on technical validation and solution design, and collaborate with Customer Success and Support to resolve issues that may put customer retention at risk.
Work effectively with partners, distributors and resellers on customer opportunities procured through the channel.
Bring customer and market insights back to Product, Marketing and leadership, and contribute to customer references, case studies and events.
What success looks like
Gross and net revenue retention at or above target across your portfolio.
Achievement of your expansion target, supported by a healthy and accurately forecast pipeline.
Every strategic account has an up-to-date account plan and a clearly understood renewal path, with risks identified early and proactively managed.
Strong relationships with decision-makers and influencers across your key enterprise customers.
Clean handovers and collaboration between Account Executive, Enterprise Account Specialist, Customer Success and technical teams, ensuring opportunities and customer needs do not fall between roles.
Requirements
3+ years of experience in enterprise account management, renewals or customer-facing sales focused on existing customers, ideally within SaaS, software or technology.
A proven track record of retaining and expanding an existing book of business against commercial retention and growth targets.
Experience owning commercial renewals and identifying and closing upsell and cross-sell opportunities within enterprise customers.
Strong commercial and negotiation skills, including experience navigating procurement processes and structuring agreements within mid-sized and large organizations.
A consultative, solutions-focused sales approach with the ability to understand customer challenges and connect technology solutions to business value.
Confidence engaging a range of stakeholders, from operational and technical contacts through to senior decision-makers and executives.
Strong account planning and stakeholder-mapping skills, with the ability to develop relationships across complex customer organizations.
A disciplined approach to forecasting, pipeline management and CRM hygiene, ideally with experience using Salesforce.
Fluency in German and English, both written and spoken
, with the ability to conduct customer and internal conversations confidently in both languages.
Excellent communication, presentation and relationship-building skills.
An entrepreneurial mindset with the ability to take ownership, work independently and succeed in a rapidly changing, international environment.
What we offer
Onsite Onboarding
in our HQ office for an optimal start
Great compensation and benefits packages
including company achievement bonus or sales bonus and regular salary reviews
Premiums for the private pension plan (
BAV
) up to the maximum amount are topped up by TeamViewer
Public transport friendly
offices
Option to
lease an e-bike
(Germany only)
Special terms
for local gyms
Access to
Corporate Benefits platform
with many
discounts
Regular
Team events
and company-wide celebrations
Open door policy
, no dress code rules, frequent all Hands and Leadership Lunches
Hybrid
and
Flexible
work time
Work From Abroad Program
allowing up to 40 days of work outside your contracting country
We celebrate
diversity
as one of core values, join and drive one of the c-a-r-e initiatives together with us!
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: Serbia, Worldwide
Social Discovery Group
(SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.
Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.
We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.
We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).
We are looking for a Product Owner to own the paying customer's experience after purchase.
We're not looking for a task manager. We're looking for someone who will own a part of the product end-to-end, from hypothesis to results.
Your mission
You'll own what happens after a user pays: getting every paying customer to a quality match as fast as possible.
This is not a classic subscription-retention role, and it's not SaaS onboarding. We need someone who knows how to increase the share of customers who reach the value moment, through better activation, matching, relevance, and experience.
What you'll work on
— Getting offer volume right: making sure customers see neither too many nor too few options
— Improving the relevance of recommendations and building trust in what we show
— Increasing relevant invites to paying customers
— Raising the probability that a new customer forms a quality match in their first week
— Designing mechanics that bring users back into conversations (e.g. gamification, nudges, reminders)
— Understanding which matching parameters matter most for different user segments, and using segmentation, personalization, and data enrichment of offers to improve results
The quality of free members' communication itself is outside this role. Your focus is activation, matching, relevance, and experience.
How you'll work
— Find bottlenecks and growth points in the post-purchase journey using data, research, and common sense
— Turn ideas into clear, testable hypotheses with defined success metrics
— Work with engineers, designers, analysts, and data/ML specialists to ship fast and efficiently
— Manage requirements, priorities, and timelines for smooth, predictable delivery
— Run experiments, analyze results and product metrics, then iterate and scale what works
Who we're looking for
A B2C product person with hands-on experience in:
— Customer experience and customer journey design, activation, onboarding, or the first-session experience
— Discovery-driven products with a large volume of offers or listings
— Search or feed relevance, matching, or recommendation systems
— Segmentation, personalization, and enriching offers with data
Relevant backgrounds
Marketplaces and aggregators, dating and social discovery, real estate and classifieds, e-commerce with large catalogs, or any product built around discovery, matching, recommendations, or personalization.
We expect from you
— You know how to formulate hypotheses and define requirements
— You can drive delivery
— You know how to validate results and run A/B tests and other experiments
— You're comfortable with qualitative and quantitative product research
— You work well cross-functionally with designers, analysts, and engineers
— You understand product metrics and how to find growth opportunities
— You focus on results, not process
— You take ownership instead of waiting for direction
— You're comfortable with changing priorities
— You communicate clearly and directly
— You treat failures as learning, not setbacks
What do we offer:
REMOTE OPPORTUNITY
to work full-time;
The
initial pay level
or
pay range
for this role will be shared with candidates during the recruitment process and before the commencement of employment;
Vacation
28 calendar days per year;
7 wellness days per year
(time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
Bonuses up to $5000
for recommending successful applicants for positions in the company;
50%
payment for professional training, international conferences, and meetings;
Corporate discount for
English lessons;
Health benefits.
According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
Workplace organization.
The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
Internal gamified gratitude system:
receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.
Sounds good? Join us now!
Опыт аналитики мобильных игр от 4 лет, сильная экспертиза в продуктовых и F2P-метриках (Retention, LTV, ARPU/ARPDAU, ROAS). Уверенный SQL, Python, опыт A/B-тестирования и работы с BI.
Location: London, United Kingdom
Workplace: hybrid
About us
At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows.
Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of over
150
talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together.
In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you.
About the role
We are now hiring for an Analytics Engineer to join our new BI / Data team. This role is an exciting opportunity to turn raw data into the trusted metrics and self-service analytics that every team at Xelix, from Finance to Product, makes decisions with, built AI-native so a small team delivers trusted metrics in weeks rather than quarters. Whether you're an experienced mid-level engineer ready for broader ownership or already operating at senior level, you'll have real influence on how Xelix defines and uses its data.
What you'll be doing
Model clean, joined tables in dbt for customers, contracts, usage, product outcomes, support, revenue and cost
Work AI-native from day one: AI coding agents draft models, tests and documentation, while you own definitions, review and quality
Own the metrics layer: one tested definition each for ARR, customer retention, realised customer value, touchless rate and cost to serve, with a first version in use within your first six weeks
Move existing Metabase and customer review reporting onto governed models, and retire duplicate dashboards together with their owners
Enable Finance, RevOps, Commercial, Product, Engineering and Services to self-serve, including plain-language analytics on top of the metrics layer, and help choose our analytics tooling
Agree definitions with business owners and document them so people and AI tools read them the same way
What you’ll bring
Experience as an analytics engineer or BI developer, building models in dbt on a cloud data warehouse
You already work AI-native: you use AI coding agents daily for SQL, dbt models, tests and documentation, know how to verify what they produce, and understand how semantic layers make AI answers reliable
Excellent SQL and data modelling, including dimensional models and metrics or semantic layers
Experience with a BI tool such as Metabase, Omni, Looker or Power BI, and with enabling non-technical users
Business sense: you understand SaaS metrics like ARR, churn and expansion, and can turn questions into data
Clear communication and patience in getting stakeholders to agree on one definition
What we offer in return
💰 Competitive salary of £50,000-£70,000 depending on experience
🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days
🏡 Hybrid working with one day a week from our dog-friendly Hoxton office and on-site gym
🏥 Comprehensive private medical & dental cover with Vitality
🍼 Enhanced parental leave pay
📚 Learning & development culture – £1,000 personal annual budget
🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals
🎯 Lots of team socials & activities
☀️ Annual team retreat
Want to learn more?
About us
Xelix blog
Xelix news
Xelix glassdoor
We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!
If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.
This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.
Interview Process
While the exact process may vary slightly depending on the role, our typical interview stages are:
Introductory Call
– A short Teams conversation with a Talent Partner to discuss your background and the opportunity.
Hiring Manager Interview
– A 30–45 minute Teams meeting to explore your experience and fit for the team.
Technical Task or Presentation
– A role-relevant exercise to demonstrate your skills and approach.
Final On-site Interview
– An in-person meeting with our senior leadership team and co-founders at our office.
We strive to make the process clear, efficient, and respectful of your time.
We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.
Location: London, United Kingdom
Workplace: hybrid
About us
At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows.
Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of over
150
talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together.
In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you.
About the role
We are now hiring for a Data Engineer to join our new BI / Data team. This role is an exciting opportunity to build Xelix's data platform from the start: the pipelines, data lake and Snowflake warehouse that become the company's single source of truth, built AI-native so a small team delivers in weeks what used to take quarters. You'll work alongside the Data Engineer in our Platform Team, who focuses on our production data systems, while you focus on bringing data together for analytics, reporting and AI. Whether you're an experienced mid-level engineer ready for broader ownership or already operating at senior level, this is a chance to shape a new team from its first day.
What you'll be doing
Build and run ingestion from our platform databases and business tools (HubSpot, Xero, Intercom, Gong and more) into our data lake and Snowflake warehouse, with a first version of the priority sources live within your first six weeks
Work AI-native from day one: AI coding agents write, test and document pipelines, checks and infrastructure code, while you own design, review and reliability
Set up change data capture from Postgres read replicas, so analytics never touches production
Own reliability, monitoring, data quality checks and cost control for the data platform
Work with our Platform Team on data contracts and access to production data, so analytics needs are designed in rather than bolted on
Build datasets with AI Engineering for model evaluation and measuring processing accuracy
What you’ll bring
Solid experience as a data engineer, building production pipelines into a cloud data warehouse (Snowflake preferred)
You already work AI-native: you use AI coding agents daily for pipelines, SQL, tests and infrastructure code, can show how it changed your speed, and know how to verify what they produce
Strong SQL and Python, plus experience with dbt and a managed ingestion tool such as Fivetran or Airbyte
Hands-on Postgres experience, including replication or change data capture
AWS experience (S3, RDS, IAM) and infrastructure as code
A security-minded approach to sensitive financial data: access controls, retention and auditability
What we offer in return
💰 Competitive salary of £50,000-£70,000 depending on experience
🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days
🏡 Hybrid working with one day a week from our dog-friendly Hoxton office and on-site gym
🏥 Comprehensive private medical & dental cover with Vitality
🍼 Enhanced parental leave pay
📚 Learning & development culture – £1,000 personal annual budget
🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals
🎯 Lots of team socials & activities
☀️ Annual team retreat
Want to learn more?
About us
Xelix blog
Xelix news
Xelix glassdoor
We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!
If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.
This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.
Interview Process
While the exact process may vary slightly depending on the role, our typical interview stages are:
Introductory Call
– A short Teams conversation with a Talent Partner to discuss your background and the opportunity.
Hiring Manager Interview
– A 30–45 minute Teams meeting to explore your experience and fit for the team.
Technical Task or Presentation
– A role-relevant exercise to demonstrate your skills and approach.
Final On-site Interview
– An in-person meeting with our senior leadership team and co-founders at our office.
We strive to make the process clear, efficient, and respectful of your time.
We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.
Компания Ping Identity ищет Senior Manager Technical Account Manager.
Задачи:
— Руководство техническими аккаунт-менеджерами.
— Обеспечение здоровья и удержания корпоративных клиентов.
Требования и стек технологий включают работу с SAML, OAuth, OIDC, IAM, FIDO2, zero-trust, security architecture, directory service, application integration и customer retention.
Роль связана с управлением людьми и технической поддержкой клиентов в области управления идентификацией и безопасностью.
• Выстраивать маркетинговую аналитику: систему метрик и KPI, сквозную аналитику, анализ воронки и эффективности каналов. • Анализировать рынок и аудиторию, сегментировать клиентов, находить их потребности и точки роста.
Location: New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; 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
Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search.
Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude.
That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work.
This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it.
Key responsibilities
Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface
Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call
Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control
Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves
Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results
Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies
Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability
Share the on-call for the systems you own
Minimum qualifications
Experience building and operating user-facing products used by a large number of people, including the backend services behind them
Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design
Strong programming skills in Python and TypeScript, with experience across backend services and web front ends
A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback
Experience defining product metrics and running experiments to make decisions
Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users
Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners
Interest in AI safety and Anthropic's mission
Preferred qualifications
Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one
Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking
Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking
Experience on consumer products with strong retention, or on personalization systems
Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA
Experience with latency-sensitive, performance-critical product work
Experience mentoring engineers or setting technical direction for a team
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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.
— отвечать за удержание и доход: retention D7/D30, конверсию в оплату, отток платящих. — искать, где теряются пользователи: воронка, когорты, записи сессий, кастдевы.
Location: 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
Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at exabyte scale.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: 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 manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at exabyte scale.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: South Africa
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Job Type:
Full-time
About the company
Our client is a high-performing growth marketing agency helping SaaS, AI, subscription-based, and consumer technology companies scale customer acquisition and revenue.
With a track record of generating
over $200 million in attributable client revenue
and managing
more than $100 million in advertising spend
, the agency combines paid media, creative strategy, conversion rate optimization (CRO), and AI-powered marketing to deliver measurable growth.
Working with ambitious US-based brands, the agency takes a full-funnel approach to performance marketing, focusing on sustainable growth rather than just advertising metrics.
Job Summary
We're looking for an experienced, hands-on Director of Growth – Performance Marketing to lead growth strategy, campaign performance, and client relationships across multiple US-based accounts.
You'll oversee Google Ads and Meta Ads performance, drive full-funnel experimentation, manage marketing specialists, and work closely with the founder on client strategy and new business opportunities.
This role is ideal for a strategic growth leader with strong agency experience who can confidently manage senior client stakeholders, solve complex marketing challenges, and independently drive measurable results.
Key Responsibilities
Growth Strategy & Performance
Own client growth strategies across Google Ads, Meta Ads, landing pages, and conversion funnels.
Optimize key metrics including CAC, ROAS, SQLs, pipeline generation, and trial-to-paid conversions.
Launch and track 2–4 structured growth experiments per client monthly.
Identify performance issues, diagnose root causes, and proactively implement improvements.
Develop actionable growth roadmaps and performance recommendations.
Client Management & Leadership
Serve as the primary strategic contact for US-based founders, CMOs, and marketing teams.
Lead client strategy calls, communicate insights, and maintain strong client retention.
Coordinate media buyers, designers, and marketing specialists to ensure quality execution.
Manage campaign delivery, creative briefs, timelines, and quality assurance independently.
Provide the founder with concise updates on account performance and priorities.
New Business & Operations
Audit prospective clients' advertising accounts, analytics, and conversion funnels.
Build compelling 90-day growth roadmaps to support sales pitches.
Lead new client onboarding within the first two weeks.
Improve reporting, campaign workflows, and internal processes.
Leverage AI tools and automation to streamline research, reporting, creative ideation, and analysis.
Requirements
Must-Have Qualifications
Proven experience in a senior growth marketing or performance marketing leadership role.
Previous experience at a performance marketing or growth agency managing multiple US-based clients.
Advanced hands-on expertise in Google Ads and Meta Ads, including campaign optimization and performance analysis.
Strong understanding of full-funnel growth strategy, CAC, ROAS, conversion optimization, and lead generation.
Experience auditing prospect accounts, building 90-day growth roadmaps, and supporting sales pitches.
Proven ability to independently manage client relationships and communicate with founders and CMOs.
Experience leading or coordinating media buyers, designers, and marketing specialists.
Practical experience using ChatGPT, Claude, and AI-assisted workflows for marketing operations.
Excellent English communication skills, both written and verbal.
Strong analytical, problem-solving, and project management skills.
Availability to work during the required US Eastern Time overlap.
Nice-to-Have Qualifications
Experience with SaaS, AI/ML, e-commerce, retail, consumer goods, or entertainment and media clients.
Knowledge of GA4, CRM integrations, attribution, and conversion tracking.
Experience with landing page CRO, creative testing, and lifecycle marketing.
Familiarity with marketing automation and agency operational processes.
Benefits
🌎
Fully Remote:
Work remotely with a high-performing, US-focused growth marketing agency.
🚀
Leadership Opportunity:
Own growth strategy, client relationships, and campaign performance.
📈
Career Growth:
Play a key role in shaping the agency's continued expansion.
🎯
High-Impact Work:
Drive measurable growth for ambitious SaaS, AI, and technology companies.
🤝
Direct Client Placement:
Join the company as an integrated member of its team.
🧠
Modern Marketing Environment:
Work with advanced AI tools, automation, and data-driven growth strategies.
💼
Founder Collaboration:
Partner directly with agency leadership on strategic initiatives and business growth.
Location: South Africa; Brazil; Mexico; Venezuela, Bolivarian Republic of; Colombia; Ecuador
About Huzzle
At Huzzle, we connect exceptional talent with exciting opportunities at leading companies across the UK, US, Canada, Europe, and Australia. We work with fast-growing startups, digital agencies, SaaS businesses, and tech-enabled companies across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we connect you directly with innovative companies, where you become an integral part of their team.
Job Type
Full-time
Job Summary
We are seeking a proactive, customer-focused Customer Success Manager to join a growing team. In this role, you will play a key part in building strong client relationships, driving customer satisfaction, and ensuring clients achieve their desired outcomes. This is an exciting opportunity for an experienced customer success professional who excels at client communication, account management, and proactively identifying opportunities to improve customer retention, engagement, and long-term growth.
Key Responsibilities
Build and maintain strong, long-term client relationships, acting as the primary point of contact for client needs, queries, and escalations.
Work closely with internal teams to ensure projects are delivered on time, within scope, and aligned with client expectations.
Client Onboarding: Oversee the onboarding process for new clients, ensuring a smooth transition and clear communication of goals, processes, and expectations.
Manage a portfolio of client accounts, monitor engagement, and proactively identify opportunities to strengthen relationships and improve satisfaction.
Identify and pursue opportunities to grow accounts and expand revenue across the existing client portfolio.
Provide regular updates on project progress, milestones, challenges, and outcomes, ensuring transparency and alignment throughout the client journey.
Maintain accurate client records, prepare account performance reports, and share insights that support informed decision-making.
Requirements
At least 2 years of professional experience in Account Management or a related client-facing role.
Previous leadership experience or the ability to effectively guide, support, and develop a team.
Excellent verbal and written communication skills, with a strong focus on achieving results.
Exceptional communication skills and a results-oriented mindset.
Exceptional organizational and time-management skills, with the ability to manage a high-volume portfolio of client accounts efficiently.
Benefits
💰 Competitive compensation with room for growth
🎯 Performance-based bonuses linked to client retention, account growth, and referrals
🚀 Join a fast-growing company focused on delivering measurable results and exceptional client experiences
📚Continuous development through professional mentorship
Location: Pakistan; United Kingdom; Canada; United States; Philippines
About Huzzle
At Huzzle, we connect talented B2B sales professionals with leading companies across the UK, US, Canada, Europe, and Australia. Our clients range from fast-growing startups and digital agencies to tech-driven businesses in industries such as SaaS, MarTech, FinTech, and EdTech. We match top sales talent with full-time, remote opportunities where they work directly as part of client teams, with ongoing support from Huzzle throughout their journey.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a proactive, detail-oriented Account Manager to oversee a diverse and growing portfolio of clients. In this role, you will focus on strengthening client relationships, improving customer retention, driving product adoption, and building long-term partnerships. This is a dynamic, fast-paced opportunity for a strong communicator who can effectively manage multiple accounts while delivering an exceptional client experience. You will play a key role in the team’s success by understanding client needs, aligning them with our solutions, and ensuring ongoing value and satisfaction.
Key Responsibilities
Manage and strengthen relationships across a high-volume portfolio of client accounts, driving long-term satisfaction and retention.
Serve as the primary point of contact for assigned clients, addressing queries and resolving issues promptly and effectively.
Identify opportunities to expand accounts and drive growth through proactive engagement and strategic recommendations.
Track account health indicators, identify potential churn risks, and implement proactive retention strategies.
Lead the onboarding of new clients, ensuring a smooth transition and helping them realize value from the product or service as quickly as possible.
Work closely with internal product and support teams to communicate client feedback, address concerns, and contribute to product and service improvements.
Keep client interactions, account updates, and pipeline activity accurately documented in the CRM.
Requirements
At least 3 years of experience in Account Management, Customer Success, or a related client-facing role.
Proven ability to manage a large portfolio of clients while maintaining high service standards and strong relationships.
Excellent organizational and time-management skills, with the ability to prioritize competing demands in a fast-paced environment.
Strong communication and interpersonal abilities, with a knack for building trust and rapport with clients.
A demonstrated track record of achieving or exceeding client retention, satisfaction, and account growth targets.
Strong analytical skills, with the ability to interpret data, identify trends, and communicate meaningful insights to stakeholders.
Benefits
💻
Work Remotely:
Collaborate with international teams from wherever you are
🚀
Career Development:
Explore opportunities with leading companies in SaaS, MarTech, and B2B services
🤝
Professional Network:
Connect with a community of talented, high-performing sales professionals
🧭
Continued Support:
Benefit from guidance and support from Huzzle throughout your placement journey
💰
Flexible Compensation:
Explore salary opportunities aligned with your experience, preferences, and career goals
Сбор и обработка данных из различных источников (рекламные сети, продукты, системы атрибуции трафика). Автоматизация отчетности по трафику и монетизации приложений, составление требований к дашбордам.
География найма не уточнена
УдалённоseniorСША; You must be based in, and authorized to work in, the United States
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