Location: Remote
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Senior Client Success Manager to join our Client Success team. This role will report to the Director of Client Success (large market). The Senior Client Success Manager plays a critical role in driving engagement, satisfaction, and retention across a high-volume large market book of business (1,000–4,999 lives). As the primary owner of day-to-day client and broker relationships, this role ensures clients realize ongoing value from Garner while proactively identifying risks and opportunities across the portfolio. By combining strong relationship management with disciplined execution and cross-functional partnership, this role directly impacts client success and long-term retention.
Where you will work:
Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ.
Ability to travel up to 25% of the time.
What you will do:
Own and manage large market client and broker relationships across a high-volume book of business (25-30 accounts), ensuring a consistently high-quality client experience.
Deliver an exceptional client experience by executing key workflows, monitoring account health, and proactively addressing risks.
Track and analyze client success KPIs, translating insights into action plans that drive engagement and retention.
Develop and execute engagement plans aligned to client goals, ensuring timely delivery of all initiatives and commitments. Assume full ownership of all engagement-related KPIs.
Manage multiple concurrent client projects with strong attention to detail, maintaining clear timelines, priorities, and deliverables.
Collaborate cross-functionally with Strategic Account Management, Sales, and Concierge (Member Services) to meet client needs, triage issues, and achieve engagement goals.
Lead client meetings and communications with key stakeholders and broker partners, providing education, insights, and actionable recommendations.
Represent the company in virtual and in-person client-facing sessions (up to 25% travel). Develop and deliver high-quality client reports, presentations, and educational sessions.
The ideal candidate has:
5+ years of experience managing a large, high-performing B2B book of business, with a proven track record of driving engagement, client satisfaction, and NRR; preferably in the healthcare and benefits industry.
Demonstrated client management expertise, including ownership of executive relationships and day-to-day account management, as well as navigating complex client and broker stakeholder environments.
Exceptional project management and organizational skills, with the ability to manage competing priorities and execute with precision and strong attention to detail.
Data-driven mindset, leveraging KPIs and client insights to proactively identify risks, optimize engagement, and drive measurable ROI.
Strong executive presence and communication skills (both written and presentation), with a proactive, solutions-oriented approach and a passion for delivering an outstanding client experience in a fast-paced environment.
Possesses a proven track record of curiosity and independent problem-solving, both when navigating client challenges and collaborating cross-functionally with internal teams.
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The salary range for this position is $120,000 - $140,000. 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) with company match, flexible spending accounts, 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: Toronto, Ontario
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
🚀 THE ADVENTURE AHEAD
As our Data Engineer I, you will build and fine-tune the robust cloud data pipelines that power our analytics, data science, and product teams. You’ll tackle real-world architecture challenges, collaborate with world-class engineers, and directly shape how intelligent learning experiences reach millions of users worldwide.
We are seeking engineers who bring deep analytical rigor to data modeling and relentless dedication to data quality.
🛠️ THE DAY-TO-DAY
- Engineer the Flow: Implement high-performance ELT/ETL transformations using tools like dbt based on innovative specs from senior engineers and architects.
- Orchestrate Data Jobs: Build, deploy, and maintain seamless data ingestion and transformation jobs powered by Airflow and Cloud Composer.
- Guard Data Quality: Write and execute vital data tests—including row counts, null checks, and reference validations—to keep our datasets clean and trusted.
- Monitor & Resolve: Proactively investigate automated alerts, ensuring peak system performance and escalating deeper architectural changes when needed.
- Shape Lakehouse Architecture: Maintain pristine schemas and naming conventions across Snowflake, BigQuery, or Databricks while implementing table and view enhancements.
- Document & Empower: Create clear documentation for pipelines, schemas, and caveats so the entire engineering team can safely build on your foundation.
- Partner & Collaborate: Work closely alongside Analytics and Data Science teams to deeply understand their query needs and deliver optimized data structures.
⚡ YOUR SUPERPOWERS
- Solid Academic & Technical Foundation: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).
- Early Career Momentum: 2-3 years of hands-on experience in data engineering, BI engineering, or equivalent project-driven environments.
- SQL Mastery: Exceptional ability to write clean SQL (joins, filters, aggregations) and query across cloud data platforms like Snowflake, BigQuery, or Databricks.
- ETL/ELT Aptitude: Strong foundational understanding of data transformation concepts and comfort navigating tools like dbt and Airflow under guided supervision.
- Code & Version Control Literacy: Familiarity with Python (or similar languages) and Git-based collaborative workflows to ship clean code efficiently.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
Location: Lisbon, Portugal
Joom is a global cross-border marketplace where millions can find anything they want at fair prices. Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world.
Joom is one of the key businesses of Joom Group, an international group of tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom also includes other businesses: JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products.
We are currently looking for
Senior/Middle+ Backend Developers
to join our teams:
JoomPro
is the first and only end-to-end cross-border B2B marketplace. It serves small, medium, and large businesses, handling orders of any size from start to finish. Today, JoomPro operates in Brazil and Mexico, with plans to expand into other markets.
Tech stack:
Go, MongoDB, Redis, Kafka, Amazon AWS, Docker, Kubernetes, Elasticsearch
The Development Infrastructure team
is responsible for the uninterrupted operation of internal services, the fault tolerance of components, the evolution of the codebase architecture, as well as creating and maintaining tools for developers.
Tech stack:
Go, Bazel, Jenkins, Kubernetes, Helm, KCL, Terraform, MongoDB, Postgres
The Antifraud Infrastructure team
is responsible for ensuring platform security, including infrastructure protection, bot management, user device authorization, personal data storage, and preventing data leaks.
Tech stack:
Go, Kotlin, MongoDB, Cassandra, Redis, Kafka, Spark (Scala, SQL), Amazon AWS, Docker, Kubernetes, ML
The Client Backend team
is responsible for all API requests coming from our mobile apps and Joom's web client.
Tech stack:
Go, MongoDB, Redis, Casandra, Kafka, sometimes Spark (Scala, SQL), Docker, Kubernetes, Grafana, Prometheus
Responsibilities
Come up with architecture
Program in Go
(Go is not a must for us; it is more important for a successful candidate to have solid algorithm skills, fundamental technical knowledge, and great coding skills in general)
Provide fault tolerance for coded services in an AWS environment
Be prepared for a constant increase of processed and stored data loads and volumes
Participate in new feature and product development discussions
Requirements
Confident knowledge of any of the programming languages: Go/Java/Kotlin/C++/Python/Scala
Complex project development experience
Excellent algorithmic training
Experience in development for Linux / Unix
Preferred
Experience with highload
Experience with MongoDB
Experience with Kubernetes
We offer
Compensation package: base salary and performance-based bonuses
Office-first: flexible hours with a possibility to work remotely 52 days per year
Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave
Relocation Support: full assistance for a smooth relocation for the employees and their family
AI-first approach: licenses and access to a wide range of AI tools
Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses
Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work
Before applying for the above position please review our Candidate Privacy Notice
here
. By responding to the vacancy, you acknowledge that you have read our Privacy notice.
About the Role:
We are seeking a highly motivated and licensed Property & Casualty (P&C) Insurance Broker to join our team as part of a critical pilot to launch a P&C broker model at Gusto. You will be essential in evolving Gusto's business insurance channel by acting as a licensed agent to quote and issue business insurance policies with our NEXT Insurance carrier partner. You will use your expertise to provide direct support and an improved experience for small business customers with complex insurance needs, helping to capture meaningfully higher revenue and accelerating the development of our AI Insurance Advisor.
About the Team:
This team is crucial to solving customer experience gaps and optimizing our offline insurance channels. You will be a SME who is part of the "human-in-the-loop" workflows required to train and optimize Gus as an AI insurance advisor. Our collective vision is to be an expert advisor that supports small businesses through every stage of growth, with this pilot being key to establishing our digital insurance agency and licensed agent integration.
Here’s what you’ll do day-to-day:
— Make outbound dials to prospective and existing small business clients to assess their complex P&C insurance needs and recommend suitable coverage options.
— Quote and issue Property & Casualty policies, primarily with the NEXT Insurance carrier, in our offline sales channel.
— Achieve required daily, weekly, and monthly sales activity expectations.
— Provide human-in-the-loop support to optimize the AI Insurance Advisor, Gus, and assist customers with more complex needs.
— Maintain client relationships, manage policy renewals, and facilitate changes or endorsements to existing policies.
— Act as a trusted liaison between clients and carriers, including assisting clients with reports of losses and claims settlement when necessary.
— Actively work to cross-sell and up-sell additional P&C lines of coverage and strive to achieve monthly production goals for units and/or revenue.
— Maintain accurate and up-to-date client records and policy documentation within CRM systems (SFDC workflow).
— Use AI-powered workflows as a core part of how you sell: running assigned tools daily, surfacing friction and inefficiencies as you find them, and collaborating with your team to influence what gets built or improved next.
— Stay current on industry trends, products, regulations, and underwriting guidelines to provide accurate advice and ensure compliance.
Here’s what we're looking for:
Experience in the field:
— Proven experience in insurance sales or brokerage, with coverage level knowledge of commercial P&C products (e.g., Workers' Compensation, BOP, Commercial Auto, E&O).
— 4+ years
Licensing:
— An active Property & Casualty insurance producer’s license
Communication & Interpersonal Skills:
— Excellent verbal and written communication, active listening, and strong interpersonal skills to build rapport and explain complex concepts clearly.
Sales & Negotiation:
— Strong sales and negotiation abilities with a proven ability to meet sales targets.
Technical Proficiency:
— Working knowledge of carrier quoting systems, proficiency in insurance software, and familiarity with CRM systems like Salesforce (SFDC).
— Comfortable using AI tools and automation to enhance productivity, decision-making, and problem-solving.
Mindset:
— A demonstrated passion for delivering an incredible customer experience and genuine empathy for small business owners.
Attributes:
— Highly self-motivated, goal-oriented, and an entrepreneurial ownership mentality to thrive in a fast-paced, high-energy environment.
AI Fluency:
— Proven, day-to-day experience integrating AI into how you work - across writing, research, prep, and summarization as a core part of your workflow, with a track record of giving clear, useful feedback that helps improve your tools and processes.
Compensation:
— Cash compensation amount for this role is $109,390 to $134,000 OTE for Denver, Atlanta, Chicago & Las Vegas.
— $102,855 to $126,000 OTE for Phoenix.
— Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.
Work Format:
— Gusto has physical office spaces in Denver, San Francisco, and New York City.
— Employees based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role).
— The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
— When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required.
Equal Opportunity:
— Gusto is an equal opportunity employer and does not discriminate based on legally protected characteristics.
— Committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in the job application process.
Security & Privacy:
— Gusto takes security and protection of personal information seriously.
Location: London, UK
Workplace: Hybrid
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Account Executive, Brands
We are looking for an ambitious SaaS closer to drive new business across the UK and EMEA. A sharp, relentless hunter with a deep understanding of the digital economy, you excel at dissecting complex business models, uncovering strategic needs, and translating those insights into high-value Sensor Tower partnerships.
The digital economy is everywhere, and brands increasingly rely on data to inform and support their decision making. The prospect pool is vast, creating tremendous opportunities to build new connections, develop relationships, and ultimately drive meaningful growth through the sale of our products.
Please note that this is a hybrid role, with two to three days per week in the office.
What you will do?
- Source and close new business to regularly meet and exceed sales goals.
- Developing market and product knowledge to drive new customer acquisition in EMEA.
- Working with management and the sales development team to define specific sales strategies.
- Sell SaaS-style platform licenses and customized solutions.
- Build an intimate understanding of Sensor Tower’s data and platform, and how it meets the needs of their customers.
- Create strategic relationships with all levels of decision-makers.
- Prospect potential clients, perform presentations, build proposals, and close new deals.
- Track and manage all sales pipeline, opportunity, and account activities in Salesforce.
- Work with internal Account Management, Client Services, Finance, Product, and other stakeholders to exceed client expectations and grow ARR.
Experience and skills that you can can bring:
- Experience selling SaaS solutions to customers in EMEA.
- Consistently meet and exceed sales quotas and can back it up with solid references.
- Keen understanding of how to use data, analytics, and insights to tell a story.
- Strong preparation, attention to detail, and ability to execute exceptional work.
- Passionate, hunter mentality, tenacious, and ability to “think on your feet"
- Senior mobile, digital and SaaS contacts with a solid reputation among these customers.
- Ability to meticulously manage a pipeline, target new accounts, close business and handles follow-up via Salesforce.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: New York City, NY, US
Workplace: Hybrid
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Sensor Tower is looking for a Senior Manager of Business Strategy to be an integral part of our Innovation & Strategy team providing white glove service and bespoke projects to our clients on an ongoing basis. Sensor Tower’s Innovation & Strategy team works with Sensor Tower’s most discerning clients who need consulting support to maximize the value of our data and achieve their strategic goals. We are divided into two consulting verticals, Business Strategy and Solutions Engineering. The Senior Manager of Business Strategy will handle a subset of clients, working cross-functionally across Solutions Engineering and other Sensor Tower departments, including sales, product and marketing teams. This is a consultative role that gives you an opportunity to drive innovative initiatives for exceptional clients and is right for someone with direct client experience and a background in digital marketing and/or mobile apps, who can deliver exceptional results.
Sensor Tower operates a hybrid working policy, and you’ll work from our New York office two days a week.
Salary: $125,000 - $170,000
What the Senior Manager of Business Strategy will do:
- Manage relationships with key Sensor Tower clients. Most clients are publicly traded Fortune 500 names. Focus of clients will be US-based.
- Understand the full suite of Sensor Tower offerings, including our Mobile App, Digital Advertising, Audience and Web products, and leverage these tools for client success.
- Manage new client implementations across different verticals, while maintaining current clients
- Support new sales and proposal processes with our Sales Team.
- Develop cross-functional relationships across Sensor Tower to be able to leverage all our resources for our clients.
- Drive innovation, working with our Advanced Data Studio team to provide go-to-market for new product development
- Become an industry expert, keeping a pulse on trends and ad tech news
- Over time supports a growing team as it becomes the premier service provider in a fast-growing company across the digital ecosystem.
Experience the candidate can bring:
- 7+ years of experience in a consulting role with heavy client-facing responsibilities at an ad or marketing agency, app or technology company, or other consulting company focused on business/marketing strategy. Management consulting experience is a plus.
- Extremely comfortable working with data. Support multiple clients by providing solutions which leverage multiple data sources to provide actionable insights.
- Experience managing people in this industry or competency.
- Demonstrated experience with Excel-based data analytics and reporting, and expert at storytelling through PowerPoint or Google Slides.
- Strong communication skills with the ability to convert technical jargon into layman’s terms so clients understand exactly what we can provide to them.
- Experience working with stakeholders from many different teams to provide solutions which exceed customer expectations, including at the executive level.
- Highly proficient in project management and cross-team communication. Documentation and organization is a must.
- Most importantly, you’re brimming with entrepreneurial drive. You see opportunities where others see only roadblocks. You roll up your sleeves and develop innovative solutions for clients where no precedent exists, and you can’t wait for the next problem to solve.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Al Khobar, Saudi Arabia; Dubai, United Arab Emirates
Eram Talent is hiring on behalf of one of our prestigious clients. We are currently seeking a highly experienced and strategic Training & Development professional to drive organizational excellence through innovative training solutions. If you are a visionary leader passionate about capability building and talent transformation, this is an excellent opportunity to shape the learning culture of a dynamic organization.
The Training & Development Manager is responsible for efficiently managing activities related to the design and execution of comprehensive training programs for the client. By developing a best-in-class training catalogue and analyzing key factors prior to designing in-house courses, this leader will ensure that all training workshops are conducted efficiently. The ultimate objective is to continuously develop and enhance employees’ knowledge, skills, and competencies required to achieve the strategic business objectives of the organization.
Key Responsibilities
Strategy & Governance
Contribute to the development and execution of the department’s short to mid-term strategic plans to ensure alignment with strategic priorities and corporate goals.
Assist in the development of annual business plans for assigned areas of responsibility to support the achievement of financial and strategic objectives.
Monitor, control, and report on key performance indicators (KPIs) related to the department to track performance and recommend corrective actions.
Operational
Benchmark available training courses and best market practices to develop a comprehensive, state-of-the-art training catalogue.
Coordinate with the supervising Training Coordinator to design in-house training courses and materials based on critical factors such as course objectives, methodology, and agenda.
Develop and communicate regular reports on training performance, effectiveness, and quality to measure the ROI and efficiency of training programs.
Oversee all e-learning processes and report on e-learning performance, effectiveness, and quality directly to the Talent Management Director.
Analyze collected data and participant feedback to propose data-driven improvements to training effectiveness.
Evaluate training courses on a regular basis and provide continuous recommendations for curriculum enhancement.
Ensure the seamless implementation of recommended improvements by regularly following up with concerned stakeholders.
Partner closely with the Technology function to develop specialized technical training programs.
Policies, Systems & Continuous Improvement
Identify opportunities for the continuous improvement of systems, processes, and practices to increase overall productivity and operational efficiency.
Implement all relevant departmental policies, processes, procedures, and instructions to ensure work is carried out in a highly controlled, consistent, and compliant manner.
Requirements
Education:
Bachelor’s degree in Business Administration, Human Resources Management, or an equivalent discipline from a recognized and accredited university.
Experience:
Minimum of 11 years of proven experience in Training & Development, Training, or a related field, out of which at least 5 years must be in a managerial or leadership position.
Certifications:
Professional HR/L&D certifications (CIPD or SHRM) are highly preferred.
Language Skills:
Demonstrated professional proficiency in both oral and written English.
Location: Dhahran, Saudi Arabia; Al Khobar, Saudi Arabia; Dammam, Saudi Arabia; Al Jubail, Saudi Arabia
We are looking for a *Secretary / Office Support Assistant* to provide administrative and secretarial support to managers and department personnel in an office environment. The successful candidate will be responsible for managing calendars, coordinating meetings, handling office requests, maintaining records, and supporting daily administrative operations.
Key Responsibilities
Manage calendars, appointments, meetings, and meeting room bookings for managers.
Handle phone calls, receive visitors, and direct inquiries to the appropriate personnel.
Process gate passes, corporate service requests, taxi requests, and other office-related requests.
Manage office stationery, supplies, B2B shopping carts, and follow up on orders and deliveries.
Prepare and maintain timesheets, e-leave applications, and employee leave records.
Coordinate business travel requests, travel arrangements, and related services for employees.
Prepare expense reports and support miscellaneous payment-related requests.
Collect reports and provide general administrative, secretarial, and office support to managers and department staff.
Requirements
Associate Diploma or higher qualification is preferred.
Bachelor’s degree is an advantage.
3–5 years of relevant experience* as a Secretary, Administrative Assistant, Receptionist, Office Support Assistant, or in a similar administrative role.
Experience in office administration, reception, help desk support, or expediting is preferred.
Basic knowledge of Microsoft Office applications and standard office equipment.
Good telephone etiquette and the ability to receive and convey messages accurately.
Good English communication skills, both written and verbal.
Strong organizational, coordination, and follow-up skills.
Ability to manage multiple administrative tasks and work effectively in an office environment.
Dhahran, Saudi Arabia; Al Khobar, Saudi Arabia; Dammam, Saudi Arabia; Al Jubail, Saudi Arabia
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 AI-Native Senior, Data Analyst to join our Reporting team. Our team delivers insightful, high-quality analysis to our clients on their healthcare use and their engagement with the Garner product. The team supports a combination of developing new scalable reports that we create at higher volume, and innovative custom analysis to provide insights for specific client situations.
The Senior Data Analyst partners with our externally-facing relationship managers to address specific client questions via custom and automated analysis. Supporting this responsibility, this role must deeply understand and improve upon the full suite of our existing automated reports, consistently identifying and implementing ways to improve their efficiency, accuracy, and client-impact.
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 and own client-facing analysis end-to-end.
Build, maintain, and produce key reports for clients across our data ecosystem, from scoping to delivery.
Be a thought partner to our client-facing teams.
Use a deep understanding of our clients and the Garner product to partner with stakeholders, answering questions via analytically robust reports and presentations.
Build scalable report automation.
Collaborate with the data engineering team to create maintainable automation to create an ever-evolving suite of client reporting.
Develop deep domain expertise.
Build a strong understanding of your analytical domain so you can independently drive meaningful insights.
Identify opportunities to improve outcomes through analysis.
Identify gaps between the needs of our clients and our reports, proactively develop new insights to fill them.
Raise the bar on data practices.
Advocate for best practices in visualization, documentation, metric consistency, and stakeholder communication across teams.
Answer high-stakes, ambiguous questions.
Run deep-dive investigations into complex business problems — the kind of analysis leadership uses to make strategic calls.
The ideal candidate has:
5+ years
of experience
in Data Analytics, Business Intelligence, Consulting, or a similar data-centric role.
Cross-functional translation.
Ability to translate ambiguous business questions into data-driven solutions and to work effectively with non-technical stakeholders.
Autonomy and ownership.
Comfortable working independently and owning reporting projects end-to-end.
Automation mindset.
Attention to detail with a bias toward automation and scalability over one-off work.
AI Nativity.
Comfort with and excitement about building analytics, building dashboards, and validating results by harnessing the power of AI agents.
Making data accessible
. A track record of using data analysis to communicate business solutions.
Modern data stack.
Hands-on with Snowflake (or a comparable cloud warehouse) and SQL at scale; experience with dbt strongly preferred — you'll partner with Data Management in governed pipelines, not just consume their outputs.
A desire to be part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $167,000 - $210,000. 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: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is seeking a Director of Battery Technology to build and lead the Battery Technology organization, shaping the team and technical direction that will power current and future generations of WHOOP products. You will set the technical vision for battery technology and build a high-performing global team across the US and China to advance battery performance, safety, reliability, and integration.
As the leader of Battery Technology, you will own the multi-year roadmap for how WHOOP develops, validates, integrates, and manufactures battery technologies. You will partner across Hardware, Product, Operations, and Supply Chain to translate ambitious product goals into battery technology strategies, while developing relationships with cell manufacturers and technology partners that position WHOOP at the forefront of battery innovation.
RESPONSIBILITIES:
- Build and lead the Battery Technology organization across Battery Cell Engineering, Battery Systems Engineering, and in-region engineering team members in China.
- Define and drive the multi-year battery technology roadmap across cell chemistry, battery architecture, charging, safety, reliability, and performance.
- Own battery technology development from advanced exploration and supplier development through design, validation, manufacturing ramp, and field performance.
- Build strategic relationships with cell manufacturers and technology partners, influencing supplier roadmaps and identifying technologies that can differentiate future WHOOP products.
- Partner across Hardware, Product, Operations, and Supply Chain to drive system-level decisions and tradeoffs across battery life, size, performance, integration, safety, cost, and member experience.
- Develop technical leaders, engineering capabilities, processes, and infrastructure that enable the Battery Technology organization to execute and scale.
- Travel up to 20% domestically and internationally to collaborate with partners, suppliers, and manufacturers.
QUALIFICATIONS:
- 10+ years of experience in battery technology, battery systems, electrochemistry, or related hardware engineering, including meaningful engineering leadership experience.
- Deep expertise in lithium-ion cell technology, including chemistry, cell design, performance, degradation, safety, qualification, and manufacturing.
- Strong understanding of battery systems, including pack architecture, charging, protection, validation, reliability, and product integration.
- Demonstrated success developing battery technology roadmaps and bringing new technologies from exploration into high-volume products.
- Experience building and leading multidisciplinary or geographically distributed engineering teams and developing technical leaders.
- Proven ability to build strategic relationships with cell manufacturers and technology partners and influence supplier technology roadmaps.
- Strong cross-functional leadership and communication skills, with the ability to create clarity through complex technical and business tradeoffs.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $210,000 - $245,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package..
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.
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 looking for a Senior Associate, Marketing Operations to own the operational engine behind Garner’s demand generation motion. You will run day-to-day campaign operations, deliver marketing reporting and analysis, and keep lead data flowing to sales with speed and fidelity. This is an automation-first role: you will use AI tools to continuously convert manual work into monitored, hands-free processes, so the role gets more leveraged as you build. This role reports to the Director of Marketing Operations.
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 campaign operations end-to-end, including campaign enrollment, list processing, tracking setup, and CRM data hygiene, ensuring every campaign is accurately tracked and attribution is preserved
Own the marketing ops request queue, triaging and delivering requests within SLA and escalating only what requires systems-level judgment
Use AI tools and automation to convert repetitive campaign ops and request work into hands-free, monitored processes, measured by declining manual effort per campaign
Deliver marketing reporting and analysis, maintaining and automating the reporting library (recurring refreshes and event, webinar, and email performance reports) and executing one-off data pulls and analyses as needs arise
Own day-to-day lead routing operations, monitoring flow health, resolving routing exceptions, and maintaining speed-to-lead as routing logic and data sources evolve
What you will bring to the team:
1–3 years of experience in marketing operations, revenue operations, or a related operational role, preferably at a B2B organization
Hands-on HubSpot experience (workflows, forms, segmentation); Salesforce familiarity is a strong plus
An automation-first mindset: you’re comfortable with detail-oriented execution, and you’re routinely asking how a process could be made repeatable or hands-free
Fluency with AI tools (e.g., Claude) applied to real workflows, or strong motivation to build it fast
Data comfort: confident building reports and working in spreadsheets; SQL or Python exposure is a plus
A self-starter mindset toward understanding, documenting, and navigating new systems
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
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 $95,000 - $115,000. 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) with company match, flexible spending accounts, 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: Lithuania; Bosnia & Herzogovina; Estonia; North Macedonia; Belgium; Andorra; Slovenia; Malta; Italy; Montenegro; France; Latvia; Albania; Czech Republic; Greece; Slovakia; Kosovo; Yerevan; Bulgaria; Moldova; Georgia; Bosnia and Herzegovina; Poland; Czechia; Croatia
Workplace: Remote
[https://app.ashbyhq.com/api/images/user-content/b540b9e2-0673-4d2d-91fd-e293658f4f6a/d3e64011-c6d4-4b26-a690-9a8685951ed7/job%20ad%20visual.png]
At Foxelli, we’re building more than e-commerce brands - we’re building a tribe of thoughtful humans: AI enthusiasts, curious builders, and ambitious minds who care about doing meaningful work together. Ten years in, our D2C brands reach millions and generate over $20M annually. Our focus stays simple: create products customers love and a team that actually enjoys building them.
If you love to learn, experiment, think boldly, make decisions, and build things that matter - you’ll feel at home with us.
WHY JOIN FOXELLI?
We are a fast-moving e-commerce company that builds our own proprietary AI infrastructure. We develop internal AI-driven systems to automate complex creative and analytical workflows, which we later scale into B2B SaaS products.
We are not looking for a traditional developer.
We are looking for an AI-Native Builder who can turn an idea into a functional prototype in days using the latest AI-assisted development tools.
THE ROLE
As a Founding AI Engineer, you will work directly with the founder to design, build, and iterate on various AI systems. The projects will vary - from computer vision and image manipulation to automated video generation and agentic data analysis. You will be responsible for the full pipeline: from R&D of the best AI models to deploying scalable web applications.
Who You Are:
- Modern Developer: You have abandoned "manual-only" coding. You are a power user of tools like GPT Codex, Claude code, and Replit, allowing you to build at a 10x pace.
- AI Generalist: You are comfortable working across different AI domains - LLMs (Text/Reasoning), Diffusion (Image/Video), and Vision models.
- Agile & Adaptive: You thrive in an environment where projects evolve. You are a fast learner who can master a new AI framework or API over a weekend.
- Hacker Mindset: You focus on ROI. You build lean MVPs, test them in our real-world e-commerce operations, and only then polish them for scale.
- Architecture-Aware: You know how to orchestrate multiple AI models into a single "Agentic" workflow that handles complex tasks autonomously.
Technical Interests:
- Stack: Next.js / Python (FastAPI).
- AI Frameworks: ComfyUI / Diffusers, IP-Adapters, ControlNet, and Agentic frameworks (LangChain/CrewAI).
- Infrastructure: Experience with Serverless GPU providers (Replicate, Fal, RunPod).
- Integrations: Skilled at connecting diverse APIs to create seamless automated systems.
Why Join Us:
- Direct Impact: Build tools that are immediately put to use in real-world business scenarios.
- Extreme Speed: No corporate red tape. If the tech works, we ship it.
- Evolution: This is a founding role with the opportunity to lead multiple product lines as we transition from internal tools to SaaS.
THE RECRUITMENT PROCESS
1. Apply - A simple form that helps us know who’s stepping into our world.
2. Ribbon AI Interview - Ribbon is a short, guided video step that helps us understand your thinking style in a calm, private space
3. Interview - A conversation with your manager to feel the work chemistry, get to know each other, and explore what we could build together
FIXED SERVICE FEE
€2000- €3000 after taxes (depending on your skills, competencies, and experience).
PERKS & BENEFITS
- Full flexibility with your schedule in a fully remote setting, while Apploye ensures transparency and fairness.
- Complimentary gym memberships and company-sponsored outdoor adventures for your strength and to keep your physical well-being in check.
- A personal development budget is at your disposal for your personal and professional growth to ensure you keep growing continuously.
- Generous paid time off, including parental leave and vacation days, to recharge and rejuvenate and ensure you’re well-rested.
- A budget for your home office setup so you’re comfortable working how you like and where you like.
- Strong company culture and a network of unique individuals that celebrate you.
ELIGIBILITY & LOCATION REQUIREMENTS
❕This role is 100% remote.
- Our tribe works primarily in the Eastern European Time Zone (EET - UTC+2/UTC+3). We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported.
- For full-time roles, we ask that you’re available for at least 5 hours during typical EET working hours - it keeps collaboration smooth and communication easy.
(This doesn’t apply to part-time roles.)
Currently, we are hiring in Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa.
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.
Who we want
This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As an Associate Applied Scientist, you’ll be embedded in the Applied Science team. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them.
This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund.
What you will do
Ship production algorithmic systems end-to-end, from problem framing to launch to iteration
Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks
Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for
Bring new ideas to your work, experimenting with approaches beyond the obvious to get better results
Produce rigorous, well-validated work others can rely on, and review your peers' code and analyses
Build a deep understanding of the healthcare economy and Garner's place in it
To make the role concrete, here are two problems on our near-term roadmap:
Provider tiering optimization.
Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions.
Member engagement model.
Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.
What we're looking for
A Bachelor's or Master's degree (in progress) in Computer Science, Mathematics, Statistics, Economics, or a related STEM field, with an expected graduation date of Fall 2026 or Spring 2027.
A bias toward action, quickly translating ideas into working prototypes to test approaches.
Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them.
A solid command of the methods your work calls for and the data your models depend on.
Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem.
Strong communication skills, with the ability to present your work clearly to senior stakeholders.
A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics.
What you’ll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation
The target base comp range for this role is $150,000. Individual compensation will depend on qualifications, skills, and applicable laws.
In addition to base compensation, this role is eligible to participate in our equity incentive plan and benefits package, including: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health, and more.
Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you.
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: Toronto, Ontario
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
🚀 THE ADVENTURE AHEAD
Step into the center of enterprise innovation as you shape the future of how global teams plan, coordinate, and deliver high-impact training! In this role, you’ll tackle complex, ambiguous operational challenges at the intersection of Instructor-Led Training (ILT) and Training Management Systems (TMS) to make training operations seamless for millions. You will have total ownership over end-to-end user journeys, connecting scheduling, approvals, resource tracking, and AI-driven workflows into one beautifully cohesive product experience. If you are eager to turn dense, administrative friction into elegant, high-impact enterprise software, your next big career adventure starts right here!
🛠️ THE DAY-TO-DAY
- Frame the Unframable: Turn complex, ambiguous inputs into razor-sharp problem statements, clear workflow maps, and testable design hypotheses.
- Connect Ecosystem Workflows: Craft seamless end-to-end interactions across training requests, resource allocations, manager approvals, instructor scheduling, and real-time operations.
- Design Complete States: Bring high-caliber interaction design and visual craft to complex planning interfaces, capacity checks, conflict alerts, and recovery paths.
- Incorporate Smart AI Assistance: Design trustworthy, intelligent scheduling assistance, conflict detection, and operational summaries that put humans in control.
- Prototype and Iterate: Test realistic workflow states and platform behavior quickly using Figma, AI-assisted tools, or light code to de-risk technical feasibility early.
- Champion System Alignment: Partner closely with Product, Engineering, and Design System teams to extend reusable primitives, preserve API boundaries, and maintain accessibility.
⚡ YOUR SUPERPOWERS
- End-to-End Ownership: Proven track record leading complex, multi-stakeholder product workflows in B2B SaaS, enterprise administration, scheduling, or operations platforms.
- Visual & Interaction Mastery: Exceptional capability in organizing dense information into clear hierarchies, responsive states, and polished visual designs.
- Systems & Platform Thinking: Ability to design within mature systems, navigate API constraints, and contribute back reusable workflow patterns to our design system.
- Evidence-Driven Approach: Deep proficiency in pairing qualitative research and product analytics with technical trade-offs to inform your design decisions.
- AI-Assisted Innovation: Skillful use of AI tools for prototyping, research synthesis, design QA, and exploring smart automation user experiences.
- Collaborative Influence: Strong communication and facilitation skills to align Product, Engineering, and leadership around clear, impactful product paths.
🎁 BONUS POINTS
- Domain Experience: Background in enterprise resource planning, scheduling systems, workforce management, LMS, or HR technology.
- Technical Curiosity: Hands-on prototyping experience with data-heavy solver tools, script-assisted workflows, or code-based experiments.
📋 OUR INTERVIEW PROCESS
Step 1: We’ll kick things off with a 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and make sure we’re aligned.
Step 2: A 45–60-minute conversation with the hiring manager focused on your experience, approach, and what excites you most about this opportunity.
Step 3: A 60-minute portfolio deep dive and collaborative case discussion focused on complex operational workflows, platform constraints, interaction and visual decisions, evidence, and measurable learning or impact.
Step 4: A final conversation focused on product-area influence, mentorship, values alignment, and cross-functional decision making
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is hiring an FP&A Manager to serve as the finance business partner to our rapidly growing Wholesale organization. In this role, you will partner closely with Wholesale leadership to drive forecast accuracy, inform key commercial decisions, and improve the efficiency and profitability of the channel through disciplined financial planning, margin management, and analysis. You will bring together detailed financial modeling and strategic thinking to provide greater visibility into business performance while helping strengthen the finance infrastructure and processes that support the continued growth of Wholesale at WHOOP.
RESPONSIBILITIES:
- Serve as the Finance business partner to the Wholesale organization, providing actionable financial and strategic insights to drive growth, efficiency, and profitability
- Own and enhance financial planning, budgeting, forecasting, and re-forecasting for Wholesale, including revenue, units, gross margin, and key operational drivers across retailers and products
- Drive forecast accuracy and accountability by identifying key variances, risks, and opportunities and translating evolving business performance into an updated financial outlook
- Own and optimize wholesale margin management and channel economics, maintaining visibility into retailer profitability and identifying opportunities to improve financial performance
- Leverage and refine financial models and analytical frameworks to inform key commercial decisions, including new retailer partnerships, geographic expansion, pricing and promotions, and assortment strategy
- Support the transition to an EPM system and continued maturation of core finance infrastructure, implementing process and reporting improvements that increase scalability, accuracy, and structure as the business grows
QUALIFICATIONS:
- 5+ years of progressive experience in FP&A, strategic finance, investment banking, consulting, or another highly analytical finance role
- Strong financial modeling and forecasting skills, with demonstrated ability to translate business performance into forward-looking plans and actionable insights
- Strong understanding of revenue, gross margin, and channel economics, including the impact of pricing, product mix, promotions, and other drivers of profitability
- Advanced proficiency in Microsoft Excel or Google Sheets; experience with EPM systems, SQL, Python, or other analytical tools is a plus
- Strong analytical and commercial judgment, with the ability to identify key business drivers, evaluate tradeoffs, and inform complex decisions
- Highly effective, unbiased communicator with the ability to adapt communication style to different audiences. Can articulate complex data clearly to a diverse range of stakeholders.
- Highly proactive and self-motivated, with a strong sense of ownership and able to identify opportunities, take initiative, and drive projects forward.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $150,000-$190,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Remote
Who we are
Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase.
With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once.
Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love.
If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us.
Hours & location
🌎 While we hire
almost anywhere
in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week.
Preferred locations:
USA
Why this job is exciting
Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The
Code Understanding
team owns the surfaces where that intelligence meets the developer:
Deep Search
, our agentic, multi-step answer engine across an enterprise's entire lineup of codebases,
Query Assist
, turning natural language queries into Sourcegraph query syntax,
Smart Hovers
, concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day.
Most of what makes those surfaces tick is
agent engineering
: a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the
staff ML and agent engineer on Code Understanding
, you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models.
This is a
staff-level role
: we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before.
Concretely, you'll own work like:
Agentic systems.
You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale.
Pragmatic use of evaluations.
Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence.
Models: selection, upgrading, and training.
You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call.
Retrieval and context engineering.
You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable.
Cost and latency.
Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably.
You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work.
📅 Within one month, you will…
Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval.
Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them.
Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next.
Join the team's on-call support rotation.
📅 Within three months, you will…
Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement.
Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them.
Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts.
📅 Within six months, you will…
Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions.
Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before.
Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them.
About you
You are a
staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems
. This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it.
You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship.
You have personally owned a production model lifecycle.
You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version.
You build agents, fluently and opinionatedly.
You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required.
You have strong evaluation judgment.
You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading.
You treat cost and latency as product constraints.
You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model.
You operate autonomously on ambiguous problems.
Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end.
You contribute beyond your domain.
As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives.
You up-level the people around you.
You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job.
You're customer and product-driven.
You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray.
You're pragmatic, not a perfectionist.
You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity.
On the engineering fundamentals:
You're a strong software engineer who can ship production services.
You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there.
You're fluent with agentic coding tools, and you understand and own every line it submits.
You're comfortable in an async-first, multi-service, fast-paced remote environment.
Nice-to-haves:
You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently.
You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production.
Experience with retrieval, ranking, embeddings, or search relevance.
Experience working directly with enterprise customers and translating their needs into a product.
Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency.
Level
📊 This job is an IC4. You can read more about
our job leveling philosophy
in our Handbook.
Compensation
💸
We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an
open and transparent
company, our
compensation philosophy
and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive.
Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone.
💰
The starting salary for the IC4 pay band in each zone is:
Zone 2: $176,000 USD
Zone 3: $132,000 USD
Zone 4: $88,000 USD
📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous
perks & benefits
.
Interview process
Below is the interview process you can expect for this role (you can read more about
the types of interviews
in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!
We expect the interview process to take 5.5 hours in total.
👋 Introduction Stage
- we have initial conversations to get to know you better…
[30m]
Recruiter Screen
[30m]
Hiring Manager Screen
🧑💻 Team Interview Stage
- we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…
[60m]
Resume Deep Dive
[60m]
System Design
[60m]
Harden a Code Research Agent Interview
[60m]
Cross-functional team collaboration
/
Values
🎉 Final Interview Stage
- we move you to our final round, where you gain a better understanding of our business and values holistically…
[30]
Leadership
We check references and conduct your background check
Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.
Learn more about us
You can learn more about what it is like to work at Sourcegraph by reading
our handbook
.
We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our
culture
,
competitive compensation
and
benefits
here.
Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds.
Sourcegraph participates in
E-Verify
for U.S. Employees.
Location: București, Romania
Workplace: hybrid
About us
EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.
About the Role
We are looking for a Product Data Analyst to join the UXMatrix Product Team and help establish a consistent, evidence-based approach to product development and optimization. You will define how product performance and user behaviour are measured, ensure that the necessary data is collected accurately, and transform that data into insights and recommendations that Product Owners, UX Designers, Engineering teams, and business stakeholders can act upon. This role extends beyond dashboard creation and regular reporting. You will investigate user journeys, identify friction and opportunities, support product discovery, define feature-success criteria, and determine whether released initiatives achieve their intended customer and business outcomes. You will work across UXMatrix products, with a particular focus on critical frontend journeys such as registration, login, deposit, sportsbook navigation, event discovery, bet placement, casino discovery, promotions, content interaction, and customer retention.
What You'll get to do:
Product Measurement Strategy
Work with Product Owners and stakeholders to translate business objectives into measurable product outcomes and KPIs. Establish clear success criteria before features and initiatives enter development.
Define leading and lagging indicators across acquisition, activation, engagement, conversion, retention, and feature adoption.
Help product teams distinguish between activity metrics, diagnostic metrics, and measurable customer or business outcomes.
Ensure product recommendations are supported by reliable data, user research, or clearly documented hypotheses.
Analytics Tracking and Data Quality
Define and maintain analytics tracking plans for websites, applications, widgets, and critical user journeys.
Translate business questions and measurement objectives into clear technical tracking requirements.
Validate analytics implementations before and after release.
Monitor data quality and investigate broken events, incomplete parameters, unexpected changes, and reporting discrepancies.
Ensure that tracking implementations comply with consent, privacy, security, and applicable regulatory requirements.
Product and User-Behaviour Analysis
Identify abandonment points, friction, behavioural patterns, and opportunities for improvement.
Segment users according to relevant characteristics such as acquisition source, device, market, lifecycle stage, product preference, engagement level, or previous behaviour.
Conduct funnel, cohort, retention, conversion, path, and behavioural analyses.
Analyze critical user journeys
Combine quantitative data with UX research, customer feedback, technical performance, and operational context.
Reporting and Data Visualization
Build and maintain dashboards that provide stakeholders with a clear view of product performance.
Create reporting views appropriate for Product Owners, UX teams, Engineering teams, operators, commercial stakeholders, and senior management.
Present trends, anomalies, risks, and opportunities clearly and concisely.
Reduce dependency on manual reporting by developing reusable and automated dashboards.
Ensure KPI definitions remain consistent across products, teams, and reports.
Deliver focused analysis and actionable recommendations rather than reporting data without interpretation.
Product Discovery and Decision Support
Support Product Owners during product discovery by evaluating evidence, sizing opportunities, and identifying behavioural problems.
Provide data to support roadmap prioritization, business cases, and investment decisions.
Help product teams formulate measurable hypotheses for proposed product changes.
Challenge assumptions and stakeholder requests when they are not supported by evidence or a clearly defined customer problem.
Conduct market, benchmark, and competitor analyses when relevant to product decisions.
Contribute relevant data and insights to product reviews, client presentations, RFP responses, and strategic discussions.
Experimentation and Feature Evaluation
Define hypotheses, success metrics, guardrail metrics, and evaluation criteria for product experiments.
Support A/B tests, controlled rollouts, phased releases, and other product-validation methods.
Conduct post-launch reviews to determine whether delivered features achieved their intended outcomes.
Track whether recommendations lead to product changes and measurable improvements.
Stakeholder Collaboration
Work closely with Product Owners, UX Designers, Developers, QA Engineers, Architects, BI teams, operators, and commercial stakeholders.
Facilitate workshops to define business questions, KPIs, success criteria, and tracking requirements.
Proactively identify relevant insights rather than working exclusively from reporting requests.
Establish a regular product-insight cadence through reviews, reporting, and focused deep-dive analyses.
Keep stakeholders informed about measurement gaps, data-quality risks, and significant product-performance changes.
What we’re looking for:
At least three years of experience in product analytics, digital analytics, business intelligence, data analysis, or a comparable analytical role.
Previous experience in sportsbook, iGaming, gaming, fintech, e-commerce, or another transactional or regulated digital industry.
Strong SQL skills and experience extracting, combining, validating, and analyzing data from multiple sources.
Experience analyzing digital-product behaviour, including user journeys, conversion, engagement, feature adoption, and retention.
Experience defining analytics events, parameters, tracking plans, event taxonomies, and measurement frameworks.
Practical experience with analytics and visualization tools such as GA4, Microsoft Clarity, Power BI, Looker, Tableau, Amplitude, Mixpanel, or equivalent platforms.
Ability to transform complex data into clear findings and actionable product recommendations.
Strong written and verbal communication skills, including the ability to present findings to technical and non-technical audiences.
Strong attention to detail and a disciplined approach to data quality and validation.
Experience collaborating with Product, UX, Engineering, QA, BI, and commercial teams.
Good understanding of web and mobile application behaviour, including client-side and server-side tracking.
Professional proficiency in English.
A degree in statistics, mathematics, computer science, economics, business, or another relevant discipline.
Here's what we offer:
Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us.
Benefit from two Free Fridays each year, limited to one per quarter.
3 sick leave days per year, no doctor's note required.
Daily catered lunch or monthly lunch allowance.
Private Medical Subscription.
Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training.
Access to an Employee Assistance Program through TELUS Health.
Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym?
At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.
Location: Toronto, Ontario
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
🚀 THE ADVENTURE AHEAD
As our Technical Product Manager for Platform & Integrations, you are the architect of Docebo’s extensibility, transforming our ecosystem into a developer’s playground. Your mission is to bridge the gap between complex engineering infrastructure and tangible business value, ensuring our REST APIs, webhooks, and Connect tools are world-class. By scanning the horizon for emerging standards and defining opinionated interoperability patterns, you will empower global enterprises to build seamless, high-impact integrations that define the future of learning technology.
🛠️ THE DAY-TO-DAY
- API and Platform Strategy: Own Docebo’s external API roadmap, from schema design principles and versioning policies to championing patterns that ensure long-term, scalable extensibility.
- Connect and Integration Tooling: Lead the Docebo Connect (Workato IPaaS OEM) product vision by managing the low-code workflow builder and blueprint library, while evaluating high-value partner contribution programs.
- Developer Experience: Obsess over the end-to-end developer journey, tracking DX metrics and conducting deep-dive research to eliminate friction before it ever turns into churn.
- Measure the Impact: Define the "North Star" for platform success by building dashboards that track API adoption, integration attach rates, and direct revenue contribution for executive stakeholders.
- Navigate the Tech: Conduct high-level technical research on iPaaS and integration standards to make "build-buy-partner" recommendations that keep us ahead of the competition.
- Field Enablement and GTM: Partner with Marketing and Sales to translate technical capabilities into winning GTM strategies, acting as the technical authority in high-stakes enterprise deal cycles.
- Govern the Ecosystem: Establish the gold standard for how partners build on Docebo, publishing comprehensive integration guides that ensure security, reliability, and commercial viability.
⚡ YOUR SUPERPOWERS
- Speak Fluent API: You can design a REST API and write an OpenAPI spec in your sleep, confidently debating webhook reliability and event-driven sync with our engineering leads.
- Decode the Codebase: You are comfortable diving into production code to trace API calls or review pull requests, understanding exactly how implementation choices impact the product's future.
- Think Like a Platform: You possess strong, well-reasoned opinions on what "good" design looks like and aren't afraid to defend your vision to both developers and the C-suite.
- Data-Driven Intuition: You define success metrics before a single line of code is written, using platform health data to influence high-level prioritization and investment.
- Developer Empathy: Having built with APIs yourself, you view documentation gaps as personal challenges and treat developer friction points as high-priority product bugs.
- Proven Experience: You bring 4+ years of B2B SaaS Product Management experience, specifically focused on APIs, SDKs, or iPaaS, ideally with a background in software engineering or solutions architecture.
- Integration Expertise: You have a deep mastery of OAuth 2.0, SAML, SCIM, and middleware categories, with a proven track record of connecting platform health to commercial outcomes.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
ГибридToronto, Ontario
seniorLisbon, Portugal; Relocation Support: full assistance for a smooth relocation for the employees and their family
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Al Khobar, Saudi Arabia; Dubai, United Arab Emirates
seniorNew York City, New York
ОфисBoston, MA
seniorNew York City, New York
УдалённоLithuania; Bosnia & Herzogovina; Estonia; North Macedonia; Belgium; Andorra; Slovenia; Malta; Italy; Montenegro; France; Latvia; Albania; Czech Republic; Greece; Slovakia; Kosovo; Yerevan; Bulgaria; Moldova; Georgia; Bosnia and Herzegovina; Poland; Czechia; Croatia; Our tribe works primarily in the Eastern European Time Zone (EET - UTC+2/UTC+3); We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported
New York City, New York
ГибридseniorToronto, Ontario
ОфисBoston, MA
УдалённоNo matter what, working hours must overlap with EST for at least 20 hours/week