Location: Netherlands; Romania; Bulgaria; Canada; Serbia; Kazakhstan; United States; Spain; Portugal; Moldova; Philippines; Poland
Workplace: Remote
About the company
Turning marketing into a market-domination weapon, we created a new category - the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy - full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating.
Role overview
We are looking for a Product Manager to ensure we always build the most valuable things for our marketplace — measured in money, not opinion. You will own the outward half of the product: users, market, and the "what and why." Working closely with a Product Owner who owns delivery ("how and when"), your job is to make sure not a single sprint is spent on something that does not move LTV, margin, or retention.
Requirements
3+ years in B2B SaaS or marketplaces, with clear examples of metrics you moved and can prove.
Strong understanding of unit economics, including LTV, CAC, payback, and contribution margin.
Hands-on user research experience with real synthesis work behind it.
Ability to tie product ideas to measurable upside before development starts.
Experience pulling and working with your own data using SQL, Amplitude, BigQuery, or similar tools.
English C1+; your users are American real estate investors, and communication needs to be sharp and clear.
AI-first by default — if you are not using AI to 3x your output already, you will be behind our engineers.
High ownership and strong decision-making in ambiguous, fast-moving environments.
What You'll Be Doing
Talk to users constantly: buyers, power accounts, and churned users — and turn conversations into decisions, not decks.
Own platform improvement broadly across onboarding, buying experience, lead quality, retention, and monetization. Find the weakest link, fix it, then move to the next.
Own the unit economics of every bet by tying each brief to LTV, CAC payback, margin per lead, or revenue per active user. If you cannot put a number on the upside, it is not a brief yet.
Model value before anything is built, using rough sizing of expected impact so engineering time goes to things that move money, not things that only feel nice.
Write one-page briefs built around problem, evidence, and expected impact, then hand them off and trust the execution.
Ship experiments weekly, kill failures fast, and scale winners.
Pull your own data directly; there should be no analyst between you and the truth.
Track competitor changes closely and know what they shipped before users tell you.
This is not for you if
You measure success in features shipped.
You cannot tie a feature to a number.
You want to manage the sprint and own the delivery. That is a different role.
What we expect from you (first 3 months)
We do not do long onboarding. Access on day one, context in days, a real problem in week one. We hire people who create value with incomplete information, because that is the job every day after probation too.
End of month 1: you know the platform as a real user does because you have used it like one; you have mapped the weakest points in the funnel, ranked with evidence and value; and you have handed off your first accepted brief.
End of month 3 (the bar): multiple shipped changes with measurable results you can defend, with at least one of them moving a core metric such as activation, churn, LQS, or revenue per user. A live experiment pipeline exists so something is always being tested. Your validated brief backlog is deep enough that the team never waits on you for direction. We trust your "this is worth building" without re-checking it.
How We Work With You: We use honest checkpoints at 2 weeks, 1 month, and 2 months. We judge trajectory, not perfection. Wrong fast and corrected beats slow and safe. If the fit is wrong, both sides should know by month 2 and say it out loud.
Nice to Have
Experience in startup or fast-scaling tech environments.
Experience in marketplace, SaaS, real estate, lead generation, or other performance-driven digital businesses.
Familiarity with experimentation systems, product analytics, and growth-focused product work.
What We Offer
Impact: Work at the core of a product-led, AI-powered startup where your decisions directly affect business performance.
Autonomy: High ownership, low bureaucracy, and real authority over product direction.
Flexibility: Remote-first culture with flexible hours and async-friendly communication.
Compensation: Competitive salary above the market average.
Team: Join a smart, passionate team that moves fast, supports each other, and builds cool stuff.
Time Off: Three weeks paid vacation plus 5 paid sick days annually.
Growth: Unlimited learning policy — paid courses, books, and growth resources.
AI-Heavy Environment: AI is deeply embedded across prospecting, research, and workflows.
Ownership: Real decision-making power and direct ownership of your outcomes.
Location: Ukraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Turkey; Kazakhstan; Brazil; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Serbia; Georgia
Workplace: Remote
ABOUT US
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We are seeking a Billing Data Analyst to join our Billing and Data team. You will play a key role in analyzing financial performance, billing behavior, risk trends, and support operations. Your work will help drive better decision-making, reduce financial risks, and improve billing efficiency across all products. This role combines analytical rigor, statistical thinking, and cross-functional collaboration.
KEY RESPONSIBILITIES
- Monitor, analyze, and report on key billing and support performance indicators and emerging trends.
- Build and maintain data pipelines to ensure accurate, timely, and reliable data delivery.
- Apply statistical methods to project scenarios, assess “what-if” outcomes, and anticipate financial risks.
- Run A/B tests and experiments to evaluate billing and support strategies.
- Collaborate with cross-functional teams (Billing, Support, Finance, Product, Marketing) to align processes with risk-mitigation goals.
- Analyze the impact of marketing and product changes on billing outcomes, risk behavior, and customer support metrics.
- Provide actionable recommendations to improve billing performance and reduce disputes, churn, and operational inefficiencies.
- Document analyses, workflows, and data logic to ensure clarity and consistency.
QUALIFICATIONS
- Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
- Experience as a Data Analyst, ideally within fintech, subscription products, billing, or customer support.
- Strong SQL skills.
- Experience with popular BI tools such as Tableau, Looker, or similar
- Experience with Python or R
- Solid understanding of statistical analysis, forecasting, and scenario modeling.
- Experience running A/B tests and interpreting experiment results.
- Excellent problem-solving skills, attention to detail, and ability to work in a fast-paced environment.
- Strong communication skills, with the ability to explain findings to both technical and non-technical stakeholders.
- Curiosity, ownership mindset, and the discipline to maintain high-quality data work.
NICE TO HAVE
- Experience with BigQuery, ClickHouse, or any cloud data warehouse.
- Basic Python knowledge for data cleaning or simple analysis.
- Exposure to subscription businesses or payment systems.
- Understanding of disputes, chargebacks, declines, or fraud signals.
- Familiarity with DBT or data quality frameworks.
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (60 minutes)
- Final Interview (30 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
Location: Ukraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Kazakhstan; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Greece
Workplace: Remote
ABOUT US
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We’re looking for a Lead Billing Data Analyst (Billing, Payments & Subscription Analytics) to own the data strategy behind our subscription billing operations. This is a hands-on leadership role: you’ll build analyses and pipelines that improve billing performance, while also managing and mentoring a team of analysts.
KEY RESPONSIBILITIES
ANALYTICS & TECHNICAL WORK
- Monitor, analyze, and report on billing and support performance metrics (payments, renewals, refunds, disputes/chargebacks), and surface emerging trends.
- Build and maintain data pipelines that deliver accurate, timely, and reliable billing data.
- Apply statistical methods to model scenarios, run “what-if” analyses, and anticipate financial risk.
- Design and run A/B tests and experiments to evaluate billing and support initiatives.
- Analyze the impact of product, marketing, and pricing changes on billing outcomes, risk behavior, and customer support metrics.
- Build and maintain dashboards and visual reporting that provide clear, real-time visibility into billing health and support performance.
- Turn insights into recommendations that reduce disputes, churn, and operational inefficiencies.
- Document analyses, workflows, definitions, and data logic to ensure clarity, reproducibility, and consistency.
LEADERSHIP & COLLABORATION
- Lead, mentor, and grow a team of data analysts: set expectations, coach on methodology, and ensure high-quality output.
- Own the team’s intake and prioritization process; manage task flow and delivery timelines against business needs.
- Uplevel the team’s billing domain knowledge and analytical/technical skills.
- Partner cross-functionally with Billing, Support, Finance, Product, and Marketing to align metrics, definitions, and processes with risk-mitigation goals.
QUALIFICATIONS
- Deep subscription billing expertise: substantial experience with payments, renewals, refunds, disputes/chargebacks/TC40 in a recurring-revenue business (non-negotiable).
- Advanced SQL: complex joins, window functions, incremental logic, and performance-aware query writing.
- Data visualization: proficiency with Omni, Tableau, Power BI, or similar tools to build dashboards and communicate insights clearly.
- People leadership: experience setting priorities, distributing work, reviewing output, and being accountable for a team’s results.
- Statistical & analytical rigor: forecasting, experiment design, and translating ambiguous business questions into structured analysis.
- Billing platforms / processors: familiarity with tools such as Stripe, Braintree, Nuvei, or similar.
- Strong communication: ability to explain complex findings to both technical and non-technical stakeholders.
- Cross-functional collaboration: track record of influencing decisions with data across multiple departments.
NICE TO HAVE
- Python and/or modern analytics tooling (dbt, Airflow, or similar).
- Experience building and maintaining ETL/ELT pipelines for billing or financial data.
- Risk analysis or fraud-adjacent experience in billing contexts.
- Advanced visualization techniques (cohorts, funnels, anomaly detection dashboards).
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1tzxGX4Uu7Ts_HCLFXESKLnKaaBfVCPf1f9AYZPrkjJM/preview?tab=t.0 https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (90 minutes)
- Final Interview (60 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
Location: US (EST)
Workplace: Remote
ABOUT MORPHO
Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.
WHY MORPHO EXISTS
Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/.
LOCATION:
Hybrid New York or Remote (EST timezone).
ROLE:
This person will bring Enteprise Accounts onto Morpho: Neobanks, Fintechs and Exchanges that put Morpho-powered earn and borrow in front of their own users (B2C or B2B). You will own the full cycle, from the prospecting to go-live and ramp up of the integration. This is a new business acquisition role: it rests on finding the accounts where Morpho can become core infrastructure partner, getting to the people who decide, coordinating the launch and closing.
RESPONSIBILITIES:
- Build a strategic fintech pipeline through targeted outreach and discovery to qualify valuable lending use cases.
- Map decision-makers across business, product and compliance to build a clear path to agreement.
- Lead technical discovery with crypto and product leaders to shape viable onchain lending integrations.
- Drive structuring and negotiation with executive stakeholders to close complex partnerships.
- Coordinate Solutions, Product, Legal and Risk to move signed partnerships toward launch and active loans.
- Plan account transitions with Growth to support expansion
WHAT SUCCESS LOOKS LIKE:
FIRST 30 DAYS
You're fluent in the Morpho stack and caught up on every live new business conversation. Your own network is mapped, and you have a first view of the accounts worth pursuing.
FIRST 4 MONTHS
The target accounts are mapped and prioritized, you're in live conversations with the top ones, and your first new account is in motion with a term sheet in draft.
IN 1 YEAR
Your first integrations are live and ramping, and you've built a repeatable pipeline of new-logo distribution deals. The accounts you cover already know Morpho.
MUST-HAVE EXPERIENCE & SKILLS:
- 10+ years experience of personally originating and closing complex fintech partnerships or integration deals.
- Technical fluency in crypto and onchain lending to lead most customer conversations independently.
- Understanding of how fintech business, product and compliance teams make decisions.
- Experience sustaining complex sales cycles and coordinating teams through launch.
- Executive presence, patient listening and the judgment to know when to push or pause.
- Strong ownership and autonomy in fast-changing, ambiguous contexts.
- Clear, crisp async communication across teams and time zones.
- A team-first mindset and low ego.
PERKS & BENEFITS
We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.
EQUAL OPPORTUNITY
We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.
Location: United States- Bellwood, Illinois
Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better.
Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor.
Principal Duties/Responsibilities:
· Performs expert level break-fix & preventive maintenance, and/or design of mechanical, and electrical equipment improvements as well as complex systems as the employee’s job specialty requires. Provides troubleshooting support on equipment and technical support on production lines as appropriate for the employee’s job specialty. Maintains in-depth technical knowledge of numerous systems as the employee’s job specialty requires. Performs research and procedures as the employee’s job specialty requires.
· Programs, troubleshoots and analyzes complex control systems to resolve in-depth software/ hardware and configuration problems.
· Utilizes predictive equipment and interprets results for analysis, equipment condition assessment, troubleshooting and proactive maintenance. Including but not limited to infrared thermography, ultrasonic testing, power quality analysis, laser interferometry, ball bar, and vibration analysis.
· Leads, drives and participates in CI activities--processes, results and cost savings using CI tools and methodology.
· Identifies and sources parts, supplies and repair items as necessary. Suggests alternative items and engineered solutions to improve reliability.
· Independently performs maintenance as per industry standards.
· Complies with 5S and housekeeping standards.
· May be required to setup and operate multiple machining operations including but not limited to: lathe, drill press, grinder, and other metalworking tools to make and repair parts. May perform welding tasks.
· Studies and investigates technical and systems methods, tools, and innovations that can be implemented in ATS sites to improve maintenance practices and updates documentation.
· Prepares input for cost analysis for new equipment, repair/rebuild proposals, cost savings and innovations as required.
· Updates records and reviews CMMS history and analyzes data.
· Provides technical contents of sales quotations and performs T&M duties as required.
· Trains and coaches less proficient technician. Assumes project manager responsibilities as assigned.
· Completes and conducts on-the-job training and technical self-study programs for career development.
· Follows all safety related policies, rules, regulations, technical instructions and guidelines.
Situational awareness and identify unsafe behaviors and conditions.
Knowledge, Skills, Abilities, & Behaviors Required:
· High School Graduate or equivalent (GED).
· Associates degree with a Technical focus and 7 years of related experience in specific industry; or, 10 years of experience in specific industry.
· Proficiency in predictive technologies including vibration analysis or laser interferometer operations, precision alignments, and maintenance of applicable process equipment.
· Understands electrical, mechanical, fluid power and control systems. Can analyze the problem, synthesize alternative solutions, and perform repairs.
· Must be able to use hand tools and specialized tools as appropriate.
· May be required to travel.
· Six Sigma experience desired.
Physical Demands and Working Conditions:
While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors.
ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more.
Pay Range
$102,970
—
$131,689.52 USD
ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy
here.
ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí
here.
Location: Kampala; Uganda
Workplace: OnSite
ABOUT THE COMPANY
Mogo's mission is to enable upward social mobility for people in diverse communities around the world by providing entrepreneurs who are excluded from traditional banking systems with access to credit. By combining asset financing, fintech, AI-based underwriting, and proprietary car portals, we enable these local entrepreneurs (motorcycle taxi riders, Uber/Bolt drivers, and small business owners) to find and purchase their own vehicles.
ABOUT THE ROLE
We are looking for a Financial Controller to help achieve regional financial efficiency by building and owning the Uganda country finance function, largely from scratch.
The role will own monthly P&L, balance sheet, and cash flow reporting, stand up robust accounting procedures, manage auditors and tax authorities, and integrate the country into Eleving Group’s financial ecosystem.
WHAT YOU WILL DO
- Establish robust accounting and financial procedures and processes to ensure effective financial and accounting reporting.
- Own monthly P&L, balance sheet, and cash flow reporting, ensuring accuracy, timeliness, and compliance.
- Partner with local and regional stakeholders, providing financial insights and analysis to guide commercial and operational decision-making.
- Manage relationships with auditors, tax authorities, and other financial partners.
- Collaborate closely with the regional HQ (finance team) to ensure smooth integration into Eleving Group’s financial ecosystem.
- Lead initiatives to drive accounting and financial improvements.
- Monitor adherence to local regulations and international accounting standards, proactively mitigating financial risks.
WHAT YOU HAVE
- Higher education in Finance, Accounting, Economics, or Business Administration
- Previous experience in the fields of finance, business administration, project management, and similar
- Understanding of IFRS accounting principles (B/S, P/L, CF)
- Advanced Excel skills and familiarity with financial software and databases
- Strong analytical and problem-solving skills
- Attention to detail with a commitment to accuracy
- Ability to manage multiple projects and meet tight deadlines
- Proficiency in English
- Can-do attitude and ownership mindset
WHAT WE OFFER
- Competitive salary and results-oriented bonus system
- Personal and professional development
- Monthly housing allowance
- Relocation support (flights, visas, vaccination )
ОфисRelocation support (flights, visas, vaccination )
Location: New York
Workplace: remote
⚡️ About Merkle Science
Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
What You'll Do
Manage and maintain HubSpot, including CRM organization, contact segmentation, workflows, campaign execution, and reporting
Build and execute email marketing campaigns and lead nurturing programs
Support demand generation initiatives across webinars, events, partnerships, content marketing, and digital channels
Assist with product marketing activities, including product launches, customer communications, sales enablement materials, and messaging
Coordinate with product, marketing, sales, and events teams to execute integrated marketing campaigns
Track campaign performance and provide insights and recommendations to improve results
Support conference, webinar, and event marketing initiatives throughout the year
Help maintain marketing assets, landing pages, campaign materials, and lead generation programs
Requirements
Prior marketing experience within crypto, blockchain, digital assets, or Web3 (required)
Native English speaker
Based in the United States (ideally East Coast)
Strong hands-on experience with HubSpot
Experience executing email marketing and lead generation campaigns
Excellent written and verbal communication skills
Highly organized, detail-oriented, and able to manage multiple priorities simultaneously
Self-starter with a strong sense of ownership and accountability
Comfortable working in a fast-paced, remote-first environment
❤️ Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.
We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
Location: In-Office
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Bangalore
About the team
The Data Intelligence & Analytics team at Cloudflare is responsible for building a centralized cloud data lake and an analytics platform that enables our internal Business Partners and Product teams with actionable insights and also provides a 360 view of our business. Our goal is to democratize data, support Cloudflare’s critical business needs, provide reporting and analytics via self-service data applications to fuel existing and new business critical initiatives.
About the role
We are looking for a Systems Engineer to join our Bangalore team to scale our development efforts on Platform Tooling initiatives. You will work on building data application tools and frameworks which empowers our Internal Teams. You will work closely with the Data Engineers on the team to add new features and maintain our data pipelines written in Go. You can expect to interact with various languages and technologies including, but not limited to Go, React, and Clickhouse.
What you'll do
Design and implement key features of our internal applications
Work closely with a cross functional team to design features and solutions that solve critical business problems
Contribute in improving an evolving platform architecture for scalability, observability and reliability
Continuously involved in knowledge sharing and mentorship
Examples of desirable skills, knowledge and experience
B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
Experience working with Go, Python, Java, or equivalent programming languages
Knowledge of SQL and common relational database systems such as PostgreSQL and MySQL
Experience with CI/CD, Gitlab CI
Excellent communication & problem solving skills
Ability to collaborate with cross functional teams and work through ambiguous business requirements
Bonus Points
Familiarity with container based deployments such as Docker & Kubernetes
Familiarity with Google Cloud Platform or something similar
Familiarity with Javascript, Typescript, and React
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
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's researchers generate and depend on enormous amounts of data — training runs, evaluations, RL transcripts, annotations etc... The Research Data Platform team builds the systems that make that data easy to produce, find, query, and trust. We work in two modes: we build
platform components that other systems plug into
(for example, a metrics library that training frameworks integrate to record and retrieve run data), and we
own core datasets end to end
(for example, the data pipeline behind RL transcripts).
As the team's tech lead, your job starts with our users. You'll work directly with researchers — and with the engineers who support them — to understand how they actually work, where managing data slows them down, and where a well-built platform component or a well-curated dataset would change what's possible. You'll turn what you learn into technical direction for the team, in partnership with the team's manager, who owns priorities and people. A central ambition you'll drive: a small set of canonical, well-documented datasets — starting with the core data model for RL — that researchers trust and standardize on, rather than every team managing its own copies.
You'll spend your first few months close to the code and close to users: shipping improvements in our core systems, embedding with research teams, and building your own map of their workflows. As the team grows, this role has a natural path into formal people leadership for someone who wants it.
Responsibilities
Work directly with researchers and the engineers supporting them to understand their workflows, identify the highest-leverage opportunities, and shape what the team builds next
Set the technical direction for the team across our platform and our datasets
Design and build platform components that other teams plug into — libraries, services, and interfaces such as the metrics library used by training frameworks
Own core datasets end to end: the pipelines that produce them, the schemas that define them, and the documentation and guarantees that make researchers trust them
Drive convergence toward canonical datasets — including the core data model for RL transcripts — that research teams standardize on
Lead complex, multi-quarter projects that span several systems and teams, staying hands-on in the code
Raise the team's technical bar through design reviews, mentorship, and the quality of your own work
You may be a good fit if you:
Have built and operated data-intensive systems at scale — pipelines, storage layers, query systems — with strong instincts for data modeling and schema design that hold up as usage grows
Have set technical direction for a team, or owned the architecture of a data platform that other teams build on
Treat internal users as customers: you do the discovery work, iterate with users, and measure success by adoption rather than by shipping
Understand that researchers aren’t typical internal customers — the work is exploratory by nature, workflows differ from team to team, and requirements are discovered through experiments rather than specified up front
Can build for that motion — keeping interfaces stable and data trustworthy while use cases change underneath you, and judging when a quick, disposable solution serves research better than a durable one
Lead through influence — aligning engineers and stakeholders without relying on formal authority
Are results-oriented and pragmatic, willing to do unglamorous work when it's the highest-leverage thing
Are excited about learning the fundamentals of machine learning research (deep ML expertise is not required)
Care about the societal impacts of your work
Strong candidates may also have
Experience with large-scale ETL and columnar or analytical storage (e.g., Spark, BigQuery, ClickHouse, DuckDB, Parquet)
Experience with metrics or experiment-tracking systems, or high-volume time-series data
Experience with dataset management, cataloging, or lineage tooling
Built developer tooling or internal data platforms for demanding technical users — including in domains like quantitative trading, where fast-moving, exploratory data work looks a lot like research
A working knowledge of machine learning
Worked in, or closely with, an ML research lab
Interest in — or experience with — people management and growing engineers
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
—
$850,000 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: Al Jubail, Saudi Arabia; Al Khobar, Saudi Arabia; Dhahran, Saudi Arabia; Dubai, United Arab Emirates; Lusail, Qatar
The Drafting Trainer is responsible for planning, delivering, and evaluating technical training programs in drafting for trainees and employees. The role involves classroom instruction, practical demonstrations, assessment of trainee performance, and the development of training materials. The trainer ensures that trainees acquire the knowledge and skills required to perform drafting work in accordance with industry standards and organizational requirements, particularly within the Oil & Gas sector.
Requirements
Plan, prepare, and deliver classroom and practical drafting training programs covering basic, intermediate, and advanced drafting techniques and standards.
Develop and maintain training materials, including lesson plans, presentations, training manuals, quizzes, examinations, and instructional resources.
Assess trainee performance through written and practical evaluations, provide constructive feedback, and recommend improvement plans.
Monitor trainee attendance, progress, and classroom discipline to maintain an effective and productive learning environment.
Maintain accurate training records, assessment results, and documentation in accordance with company procedures.
Ensure training activities comply with company policies, engineering standards, and Health, Safety, and Environment (HSE) requirements while supporting continuous improvement of training programs.
Requirements.
Bachelor's Degree in Engineering, Associate Degree/Two-year Diploma in Drafting Technology, or High School/Vocational Diploma in Engineering Drawing or Drafting
Minimum
4 years
of relevant Oil & Gas industry experience (with a degree) or
11 years
(without a degree).
Fluent in spoken and written English with a minimum of
IELTS 6.0
or equivalent TOEFL score (Arabic proficiency is an advantage).
Proficiency in
MicroStation
and/or
AutoCAD
, with experience in mechanical, civil, structural, or architectural drafting.
Experience in training, mentoring, coaching, or delivering classroom and practical technical instruction.
Al Jubail, Saudi Arabia; Al Khobar, Saudi Arabia; Dhahran, Saudi Arabia; Dubai, United Arab Emirates; Lusail, Qatar
Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is hiring a Forward Deployed Engineer to work alongside Physical AI customers, shape our core infrastructure products, and test ideas for what we should build next.
You will work with enterprises, ISVs, and digital-native companies running training, simulation, synthetic data, evaluation, and model serving workloads. By understanding their systems and helping them reach production, you will uncover requirements that inform our Cloud, Serverless, and Token Factory teams. The goal is to connect needs across Physical AI industries with product decisions, including improvements that benefit enterprise customers more broadly.
You will also investigate opportunities for new Nebius products. You will develop hypotheses about unmet needs, examine demand and existing alternatives, and build prototypes to test with customers. Your findings will help determine which opportunities deserve investment and what an initial product should deliver.
The work is hands-on. You will write code, deploy and benchmark models, build agents, and troubleshoot infrastructure alongside customer engineers.
The position is part of the Physical AI go-to-market team, with close collaboration across customers, NVIDIA, Product, and Engineering.
What you will do
Work with customer engineers to understand their workloads, infrastructure constraints, and production requirements.
Translate Physical AI use cases into requirements that Cloud, Serverless, and Token Factory teams can use, backed by measurements and customer evidence.
Identify enterprise adoption barriers and common needs across industries. Work with Product and Engineering to assess gaps and test improvements with customers.
Build agents that set up, run, and debug Physical AI workloads, connecting them to clusters, schedulers, storage, and model servers.
Deploy and benchmark open-weight models with serving stacks such as vLLM or SGLang, then tune them for customer workloads.
Build prototypes and run technical evaluations to answer specific questions about performance, reliability, and product fit.
Assess demand and existing alternatives for opportunities outside current product teams’ scope, then build where there is a clear market.
Debug across Python, agents, model servers, Kubernetes, GPUs, networking, and storage. Turn successful setups into reusable scripts, deployments, and short guides.
What we are looking for
Three or more years in software engineering, cloud infrastructure, DevOps, ML infrastructure, or similar, including ownership of a production service, cluster, or platform.
Experience working directly with customers or external engineers to scope problems, run evaluations, and explain technical tradeoffs.
Ability to turn an unfamiliar customer problem into concrete infrastructure requirements.
Practical experience building with LLMs or agents, at work or independently, with an understanding of their internals (e.g., transformers, KV caching, or tool calling) and how to evaluate their outputs.
Familiarity with enterprise infrastructure requirements, including identity and access management, network isolation, security, monitoring, and reliability.
Strong Python and Linux skills: you can read unfamiliar code, automate a setup, and debug from logs and metrics.
Practical experience with containers and Kubernetes, including configuration, networking, storage, and scheduling.
A record of getting useful software working with incomplete requirements, measuring results, and following through with the people using it.
Helpful experience
Enterprise customer engineering, solutions architecture, consulting, or taking a new product from an initial customer problem to adoption.
Distributed compute such as Ray, Slurm, Spark, or multi-GPU jobs.
NVIDIA GPU workloads, including memory management, drivers, CUDA, NCCL, and monitoring.
Model serving with vLLM, SGLang, TensorRT-LLM, or TGI.
Robotics, simulation, synthetic data, reinforcement learning, world models, or tools such as Isaac Sim, Isaac Lab, Omniverse, and Cosmos.
Infrastructure automation and enterprise integrations, including Terraform, CI/CD, private connectivity, and identity federation.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$179,500
—
$224,300 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: New York, New York
About Us:
EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of
Inc.’s Best Workplaces
3 years in a row and Built In’s Best Places to work in 2025 and 2026!
As a
Business Analyst
on the Data Science & Insights team you will translate complex data into clear, actionable insights that drive operational change and measurable client outcomes. You will work with leaders across DS&I and Client Strategy to identify KPIs and develop robust, scalable, and trustworthy reporting to both track historical metrics and inform resulting business strategy.
You will support technical development across the Data Science & Insights portfolio, from writing SQL queries to developing reusable Python tools to creating Looker dashboards. You will help drive the evolution of scalable client analytics, from automated reporting and self-service QBRs to high-impact ROI storytelling, while acting as a trusted analytical advisor across Product, Client Services, Sales, and Data Science. The quality of your insights will directly influence product direction, client retention, and how the business evaluates and prioritizes opportunities.
Key Responsibilities:
Report Quality:
Review data artifacts to ensure that data transformations are accurate and reporting correctly communicates the metrics in question.
Scale Reporting Infrastructure:
Build out tooling to scale and automate client reporting, while ensuring data is trustworthy. Support contribution to team's github code repositories with strong Python and SQL skills, with a willingness to learn additional tools like dbt
Data Storytelling:
Create high-impact visualizations and business cases that demonstrate the ROI of AI integration to our B2B clients.
Stakeholder Synthesis:
Translate complex model behaviors (e.g., propensity to close, intervention scoring) into actionable insights for claims adjusters and executive leadership through in depth analytics.
Requirement Architecture:
Collaborate with senior DS&I team members to define "Success Events" for new AI features, ensuring that technical builds align with the Behavioral North Star of the product.
Required Qualifications:
5+ years as a Business Analyst or similar role, preferably within Disability Insurance, FinTech, or a SaaS company leveraging Machine Learning.
Analytical Rigor: Proficiency in Python (Pandas, script development), SQL, and data visualization tools (Tableau, PowerBI, Looker) to perform independent "deep dives" into claim performance data.
Strategic Communication: Proven ability to explain the "Why" behind an AI recommendation to non-technical users.
Domain Expertise: Familiarity with claims management workflows, "duration compression" concepts, and the regulatory landscape of disability insurance is preferred
Work-life, Culture & Perks:
Compensation:
The base salary range is
$165-180K,
with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
Well-Being:
Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
Home & Family:
Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
Office Life:
Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
Growth & Training:
$1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
Sponsorship:
We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.
EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.
ABOUT THE ROLE
As an engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
- AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
- Model & systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
- Evaluation & quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
WHAT YOU’LL ACHIEVE
- Partner with your team to prototype and ship an AI-powered product improvement
- Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
- Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
SKILLS YOU'LL NEED TO BRING
- You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
- Expertise building and prototyping: You’re excited to build and iterate quickly, and you’ve started exploring AI/ML through coursework, projects, internships, or hackathons. You’re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
- Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
- Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
NICE TO HAVES
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $130,000-$150,000.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Director of Product to lead our Financial Incentives team. This role will report to the Head of Product. Your team owns the financial layer that drives world-class engagement amongst Garner members and steers them to top-performing providers by making Garner the most convenient and affordable way to pay for healthcare.
You will lead 3-4 teams responsible for the member-facing incentive experience, our portfolio of payment mechanisms (card, HRA, HSA contributions, direct provider payment, and emerging alternatives), employer-facing plan design and coverage policies, and the core platform that adjudicates claims, moves money, and reports on it. Today, Garner reimburses $100M+/yr and growing in patient bills annually: you will be responsible for making that experience delightful for members, trusted by employers, and resilient at scale.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own the strategy and roadmap for Garner’s Financial Incentives portfolio, spanning the member incentive experience, the suite of payment mechanisms (card, HRA, HSA, direct provider payment), employer-facing plan design and coverage policies, and the underlying claims adjudication, payments, and ledger platform.
Build, mentor, and scale a high-performing product management team (4 PMs and growing) and develop the next generation of PM leaders at Garner.
Act as Garner’s internal and external-facing executive-level subject matter expert on financial incentives, payment mechanics, and the operational systems that move money reliably at scale.
Partner closely with Engineering, Design, Operations, Finance, Legal, Compliance, Clinical, and GTM teams to ship trusted, mission-critical products.
Define the metrics that matter and rally the organization around them.
Make sharp prioritization decisions across a portfolio with high regulatory complexity, high customer expectations, and significant 0-to-1 product surface area still to build.
The ideal candidate has:
8+ years of product management experience, including 3+ years managing and developing product managers.
Demonstrated experience building and shipping financial products at scale — payments, ledgers, card programs, consumer financial experiences, or other money-movement systems.
Deep expertise in at least one of payment infrastructure (rails, settlement, reconciliation, ledger) or consumer financial products (card, rewards, reimbursement, HSA/HRA-like instruments) at scale.
Track record of leading both 0-to-1 product development and the scale-up of production systems, comfortable building net-new platforms and improving systems already moving real money.
Strong technical fluency—can credibly engage engineering on system design, data models, APIs, and reliability tradeoffs.
Exceptional written and verbal communication, with the ability to drive alignment with executives, internal teams, and external partners.
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.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target base salary range for this position is $323,000 - $379,000. 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: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Senior Product Manager to lead our Payment Foundations team, responsible for building a secure, reliable, and scalable platform for money movement across Garner. This role is the core platform enabling Garner’s financial incentives, which drives best-in-class health and financial outcomes for patients and employers. This role reports to the VP of Product Management.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own Garner’s payments platform strategy and roadmap, including payment systems, financial ledger, payments data products, and payment operations tools.
Be the internal and external owner for Garner’s payment partner and vendor integrations, including our payment processing and card vendors, bank partners, and HSA provider integrations.
Drive development of APIs, integrations, and platform capabilities that enable teams across Garner to initiate, track, and reconcile money movement safely and reliably.
Establish company-wide standards for compliance, financial reporting, and incident response.
Partner with product, engineering, operations, legal, and finance to enable 0-to-1 payments products and use cases. Example projects include designing a financial ledger to record member account balances and transactions, developing automated integrations with Health Savings Account providers to make deposits on behalf of members, and expanding reimbursement methods for members through Paypal or Venmo.
The ideal candidate has:
5+ years of Product Management experience, including at least one role owning a technical or platform product end-to-end
Strong systems thinking and detail orientation — you instinctively look for edge cases and reason from first principles about how systems can fail
Strong technical background, with experience owning technical products APIs, integrations, and data systems
Superb written and verbal communication, with the ability to translate complex technical concepts for engineering, business, and external stakeholders
Bonus: experience building financial or other highly-regulated products, or large-scale financial systems
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.
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.
What you’ll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target salary range for this position is $222,000 - $245,000. 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: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
Garner’s mission is to transform the healthcare economy, delivering high-quality and affordable care for all.
We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures.
Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale.
About the role:
We are seeking an exceptional Senior Product Manager to lead our Employer Experience team, the team responsible for building our employer-facing benefit experience. This role owns both the external-facing experience and internal systems and tools that support how Garner’s employer clients interact with and experience the Garner benefit. This includes our client and broker-facing Garner Portal, our invoicing and eligibility systems, and a suite of internal applications operated by the Implementations, Integrations and Finance teams. This role reports to the Head of Product.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own Garner’s external-facing employer experience strategy and roadmap, including development and expansion of the Garner Portal.
Drive development of internal revenue and eligibility data products that enable teams across Garner to perform analytics based on Garner’s membership and revenue.
Partner with product, engineering, operations, legal, and finance to enable 0-to-1 employer-facing products and use cases. Example projects include designing a broker-facing product enabling them to gain insight into the performance of their customers, or building a data warehouse product enabling innovative provider and plan analytics.
The ideal candidate has:
5+ years of Product Management experience, including at least one role owning a technical or financial product end-to-end.
Strong systems thinking and detail orientation. You instinctively look for edge cases and reason from first principles about how systems can fail
Strong technical background, with experience owning financial or data systems at scale.
Superb written and verbal communication, with the ability to translate complex technical concepts for engineering, business, and external stakeholders.
Deep AI fluency, using AI daily to run analyses, build prototypes, and automate workflows. You pride yourself on staying at the bleeding edge of what’s possible.
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.
What you’ll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target salary range for this position is $222,000 - $245,000. 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: Tel Aviv-Yafo, Tel Aviv District, Israel
About Aidoc
Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year.
Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.
Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.
About this role
As a SecOps Engineer, you will help protect Aidoc’s cloud environments, products, corporate systems, and sensitive healthcare data by investigating SIEM alerts, supporting incident response, and improving the quality of security monitoring and operations.
This is a hands-on security operations role for someone who can analyze security signals, understand real risk, communicate clearly, and help the organization detect, investigate, and respond quickly and effectively to security events.
You will work closely with real production environments, where accurate investigation, clear documentation, and practical escalation are critical to protecting sensitive healthcare data, customer trust, and the reliability of Aidoc’s clinical AI platform.
Responsibilities
Own the end-to-end investigation of SIEM alerts across cloud, product, identity, endpoint, and SaaS environments: analyze the relevant evidence, separate false positives from real threats, and prioritize cases based on risk and impact.
Escalate high-risk findings with a clear summary of what happened, what is affected, why it matters, and what actions are required.
Support incident response by collecting evidence, assisting with containment, tracking remediation, and maintaining clear investigation records for internal reviews, compliance needs, and post-incident learning.
Improve SIEM rules, dashboards, alert logic, playbooks, telemetry coverage, and detection quality to reduce noise and strengthen security monitoring.
Work with Security, IT, DevOps, R&D, Product Security, and Compliance teams to resolve issues and improve security operations.
Requirements
2+ years of experience in Security Operations, SOC analysis, detection and response, incident response, cloud security operations, or a similar hands-on security role.
Hands-on experience with SIEM-based investigations, including alert triage, log analysis, event correlation, evidence review, case prioritization, and escalation.
Experience working with security telemetry from cloud platforms, identity providers, endpoints, SaaS systems, network tools, application logs, and production environments.
Familiarity with cloud-native environments, including IAM, storage access, workloads, Kubernetes, containers, APIs, logging, monitoring, and CI/CD pipelines.
Understanding of common attack techniques, including credential compromise, phishing, privilege escalation, suspicious API activity, malware, data exposure, lateral movement, and cloud misconfigurations.
Experience with identity and endpoint investigation, including SSO, MFA, service accounts, privileged access, EDR alerts, and suspicious user or device activity.
Ability to use query or scripting languages such as KQL, SPL, SQL, Python, Bash, or similar.
Familiarity with incident response workflows, case management, evidence collection, remediation tracking, and post-incident review.
Strong analytical judgment, with the ability to separate false positives from real risk and explain findings clearly.
Ability to work independently, document investigations clearly, and escalate issues with the right level of urgency.
Strong communication skills and the ability to work with Security, IT, DevOps, R&D, Product Security, Compliance, and business stakeholders.
Close attention to detail, strong ownership, and comfort working in a fast-moving production environment.
Additional Strengths
Experience in healthcare, healthtech, medical devices, digital health, or regulated software environments.
Familiarity with HIPAA, GDPR, SOC 2, ISO 27001, NIST CSF, or similar security and privacy frameworks.
Familiarity with MITRE ATT&CK, detection logic, attacker behavior, and investigation playbooks.
Experience with threat hunting, detection engineering, malware analysis, forensics, or advanced incident response.
Experience with SOAR platforms, case management systems, threat intelligence feeds, detection-as-code, or SOC automation.
Experience improving SOC metrics such as alert noise, false-positive rate, time to triage, time to escalation, and investigation quality.
Experience working with sensitive data, PHI/PII, customer-facing environments, or audit-ready evidence collection.
Working at Aidoc
Our Perks:
Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives)
We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees.
Amazing and healthy breakfasts and lunches prepared daily by our personal chef!
Stocked up kitchen & meal card
Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes.
Amazing culture - collaborative, transparent & fun!
Attractive compensation package & benefits
Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
Location: Tel Aviv-Yafo, Tel Aviv District, Israel
About Aidoc
Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year.
Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.
Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.
About this role
As a Senior Product Security Engineer, you will help ensure that security is built into the products, platforms, AI systems, and clinical workflows that support healthcare providers and patients at scale. This is a hands-on technical role focused on securing real systems in production, influencing architecture, and partnering closely with engineering, AI, DevOps, product, quality and regulatory.
You will work across cloud-native services, medical imaging workflows, healthcare integrations, AI/ML pipelines, APIs, data flows, and regulated product development processes. Your work will directly support Aidoc's ability to deliver secure, reliable, and trusted clinical AI solutions to healthcare organizations worldwide.
What Makes This Role Unique at Aidoc
Clinical AI with real-world patient impact
- Aidoc operates in an environment where security is not only about protecting systems and data. Security decisions can affect clinical workflows, care-team coordination, customer trust, and patient safety.
Highly sensitive healthcare data
- You will help protect medical imaging data, clinical metadata, PHI/PII, customer environments, and AI-driven workflows that require strong privacy, access control, data protection, and auditability.
Security for AI/ML and medical imaging systems
- The role extends beyond traditional AppSec into AI/ML security, data pipeline protection, inference integrity, model-related risks, and misuse scenarios in clinical workflows.
Complex healthcare integrations
- Aidoc integrates with hospital systems and healthcare workflows that may include PACS, EHR, VNA, RIS/worklists, scheduling systems, and communication platforms. You will help secure the data flows, authentication models, APIs, and deployment patterns behind these integrations.
Engineering-driven security in a regulated environment
- This is not a checkbox compliance role. However, because Aidoc operates in healthcare and clinical AI, security must be practical, evidence-based, and aligned with regulatory, customer, and quality expectations.
Cloud-native scale and production ownership
- You will work with modern cloud infrastructure, Kubernetes, containers, CI/CD pipelines, identity and access management, observability, vulnerability management, and software supply-chain controls.
Responsibilities
Secure product and clinical workflows end-to-end
- Work directly with engineering and product teams to identify, prioritize, and remediate security risks across services, APIs, medical imaging workflows, AI outputs, data flows, and customer-facing product features.
Drive secure-by-design architecture
- Provide practical security guidance on authentication, authorization, tenant/customer isolation, encryption, secrets management, service-to-service communication, audit logging, and secure data handling.
Strengthen cloud-native security
- Improve security across cloud environments, Kubernetes, containers, IAM, network segmentation, workload identity, infrastructure-as-code, logging, monitoring, and cloud security posture management.
Embed security into the development lifecycle
- Integrate, tune, and operationalize security tooling across CI/CD pipelines, including SAST, SCA, IaC scanning, container scanning, secrets detection and build/release integrity controls.
Own vulnerability management as an engineering system
- Prioritize vulnerabilities based on exploitability, product exposure, customer impact, clinical risk, and regulatory relevance. Drive remediation with engineering teams and reduce recurring issues through root-cause improvements.
Secure AI/ML-driven features and data pipelines
- Partner with AI, data, and platform teams to identify risks related to training and inference data, model inputs and outputs, model misuse, data leakage, access to sensitive datasets, pipeline integrity, and production monitoring.
Improve software supply-chain security
- Reduce risk across open-source dependencies, third-party components, third-party algorithms, container images, build systems, artifact repositories, release pipelines, and deployment processes.
Mentor and enable engineers
- Help developers understand security risks, make secure design decisions, and take ownership of security in their code, services, and infrastructure.
Communicate risk clearly
- Translate technical security findings into clear risk, impact, and trade-off language for engineering, product, leadership, quality, regulatory, and customer-facing stakeholders.
Requirements
5+ years of experience in Product Security, Application Security, Cloud Security, or a similar hands-on security engineering role.
Strong hands-on experience securing production systems, not only performing assessments or reviews.
Strong understanding of secure design, threat modeling, and architecture risk analysis.
Deep knowledge of application security, including OWASP Top 10, API security, authentication, authorization, access control, secure session handling, input validation, and modern attack vectors.
Experience securing distributed systems, APIs, web applications, backend services, and cloud-native architectures.
Strong experience with cloud environments, especially AWS and/or Azure, including IAM, network security, encryption, logging, monitoring, and workload security.
Experience with Kubernetes, containers, infrastructure-as-code, CI/CD pipelines, and modern DevOps workflows.
Practical experience with security tooling such as SAST, SCA, IaC scanning, container scanning, secrets detection, SBOM tools, vulnerability scanners, and cloud security tools.
Experience with vulnerability management, risk prioritization, remediation planning, and working with engineering teams to fix issues at scale.
Strong understanding of software supply-chain security, including dependency risk, build/release integrity, artifact security, and third-party component governance.
Experience working with modern development stacks such as Python, Java, JavaScript/TypeScript, React, microservices, APIs, and cloud-native services.
Ability to influence engineers through technical credibility, practical guidance, and strong collaboration.
Strong communication skills and the ability to explain security risks to technical and non-technical stakeholders.
Working at Aidoc
Our Perks:
Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives)
We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees.
Amazing and healthy breakfasts and lunches prepared daily by our personal chef!
Stocked up kitchen & meal card
Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes.
Amazing culture - collaborative, transparent & fun!
Attractive compensation package & benefits
Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
УдалённоUkraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Turkey; Kazakhstan; Brazil; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Serbia; Georgia; Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET
УдалённоleadUkraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Kazakhstan; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Greece; Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorHybrid New York or Remote (EST timezone); Clear, crisp async communication across teams and time zones; We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment; US (EST)