Location: Boston, Massachusetts; New York, New York
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
As a
Presales
Solution Architect
, you will be part of Workato’s global solution consulting team and architecture community and own the technical alignment with the customer during the pre-sales lifecycle through workshops and interactions that define the customer’s future state for AI agents.
If this sounds right up your alley, please apply. We look forward to getting to know you!
In this role, y
ou will also be responsible to:
Own the technical diagnosis, prescription, and validation phases of the sales cycle and advise customers consultatively.
Effectively team with AEs, Solution Architects, and other functions to evangelize our platform, approach, and architecture tailored to the customer’s business and drive the technical sales stages to completion.
Work closely with Customer Success to make the solution a reality for the customer.
Articulate and educate on business, technical and architectural concepts to a variety of audiences, including business and technical teams.
Create and deliver custom product demonstrations to support the sales cycle
Perform business and technical discovery with customer prospects and be able to architect/build proposed solutions using Workato products
Successfully manage and execute technical workshops and proof of concepts (POCs), on-site or remote
Able to respond to functional and technical elements of RFIs/RFPs
Collect feedback from the field, synthesize, analyze and channel to Product Management and Engineering for product roadmap
Responsible for representing the product to customers and at field events such as conferences, seminars, etc.
Requirements
Qualifications / Experience / Technical Skills
BA/BS or equivalent education - Computer Science degree
Good pre-sales experience in a SaaS/iPaas organization
Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs and Databases
Experience with cloud technologies - iPaaS, SaaS applications, cloud infrastructure
Soft Skills / Personal Characteristics
Ability to learn new concepts, technologies and solve problems.
Strong interpersonal skills with the ability to convey and relate ideas to others and work collaboratively to get things done.
Excellent presentation abilities and composure in front of all levels of technical and business audiences.
Ability to lead architectural discussions.
A passion for technology and translating that passion into business impact for customers.
Excellent verbal communication, written communication, and presentation skills in front of all audiences.
Ability to travel as needed and to work flexible hours throughout the sales territory.
(REQ ID: 2793)
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance.
We are seeking a Principal AI Researcher to join our Foundation AI team. This team builds the foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior.
In this role, you'll be one of the senior technical leaders at WHOOP. You will own the technical execution of our foundation modeling workstreams and your technical judgment will shape a core part of WHOOP’s AI efforts and the products they power.
RESPONSIBILITIES:
- Set the architectural direction for the development of large-scale models spanning wearable sensor data, text, biomarkers, and behavioral signals, and personally own the highest-stakes, hardest-to-reverse design decisions.
- Identify which research bets in self-supervised and representation learning are worth making, and drive the most ambiguous and unproven ones from thesis to validated, production capability.
- Contribute to the broader AI strategy and standards at WHOOP, shaping the platform, compute, and infrastructure choices the team operates on, not just working within them.
- Partner across research, product, and engineering to connect technical breakthroughs to product and business outcomes.
- Raise the technical bar across the team: grow staff and senior engineers, strengthen design-review and evaluation norms, and act as a force multiplier.
- Represent WHOOP's technical work externally, helping with recruiting, partnerships, and visibility in the broader AI research community.
QUALIFICATIONS:
- Advanced degree (Master’s or Ph.D.) or equivalent depth, with extensive experience in large-scale machine learning and AI research.
- A track record of owning technical direction for a significant area and making architectural decisions whose impact outlived any single project.
- Demonstrated ability to take ambiguous, high-risk research directions all the way to production impact and the judgment to discontinue those that will not.
- Deep expertise in modern deep learning (transformers, state space models), multimodal training, self-supervised and representation learning, RL-based post-training (PPO/DPO/GRPO), and large-scale distributed training (data, model, and context parallelism).
- A history of being a technical authority that teams defer to, and evidence of multiplying their output.
- Excellent communication and the ability to influence both the engineering bench and senior leadership.
- Publications and evidence of community building at top-tier machine learning venues.
- Passion for WHOOP's mission to improve human performance and extend healthspan through science and technology.
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 $270,000 - $300,000. 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: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. We build products that help people better understand their bodies, improve performance, recover smarter, and build healthier habits through continuous health monitoring and actionable insights. Our products sit at the intersection of hardware, software, data science, sport, health, fashion, and culture.
The Creative org defines how WHOOP is felt in the world. We are responsible for the physical manifestations of the brand, from hardware, bands, and accessories to collaborations, retail environments, pop-ups, and in-store moments. We operate with high taste, deep craft, and exacting standards. This is a design team built on trust, candor, and a shared obsession with quality. We are empowered to initiate, to challenge, and to lead. Our mandate is simple and uncompromising: to deliver best-in-class design across every physical touchpoint and to make WHOOP unmistakable through clarity, restraint, and excellence.
We are looking for a Senior Industrial Design, Lead to help define the future of WHOOP hardware and wearable experiences. This role is for a designer who can move fluidly between vision and execution, shaping product strategy while obsessing over the details of form, fit, material, finish, comfort, manufacturing, and long-term user behavior.
As Senior Industrial Design, Lead, you will own and drive industrial design across next-generation WHOOP products, accessories, and wearable systems. You will lead concept development, translate insights into compelling physical experiences, and partner deeply with Product, Engineering, Research, CMF, Apparel, Manufacturing, Brand, and Marketing teams to bring world-class products to market.
This person will help define how WHOOP shows up on the body, in sport, in daily life, and in culture. The ideal candidate has deep experience designing wearable products or technically complex consumer hardware, a refined aesthetic point of view, strong ergonomic intuition, and the ability to lead cross-functional teams from early exploration through mass production.
RESPONSIBILITIES:
- Lead industrial design for future WHOOP hardware, bands, accessories, and wearable ecosystems from concept through production.
- Translate user, athlete, member, and market insights into design strategies, product architectures, and differentiated physical experiences.
- Create compelling design concepts through sketching, 3D modeling, prototyping, visualization, and storytelling.
- Drive ergonomic studies, wearability testing, fit analysis, and human factors exploration to ensure products perform across body types, activities, environments, and use cases.
- Partner closely with Mechanical Engineering, Electrical Engineering, Sensors, Apparel, Product, and Manufacturing to balance design intent, technical feasibility, performance, comfort, durability, and cost.
- Lead CMF direction in collaboration with CMF and Brand partners, ensuring every material, finish, texture, and color decision reinforces the WHOOP design language.
- Build and evolve design systems for WHOOP hardware, accessories, and on-body experiences, creating consistency while enabling future innovation.
- Prototype rapidly across fidelity levels, from rough physical mockups to refined appearance models and functional wear-test samples.
- Guide design decisions through clear rationale, strong visual communication, and a deep understanding of member needs.
- Mentor industrial designers and contribute to a high-performance creative culture rooted in craft, rigor, curiosity, and accountability.
- Present design work to senior leadership, clearly articulating the strategic, experiential, technical, and business rationale behind key decisions.
- Partner with external vendors, model shops, factories, and development partners to preserve design intent through tooling, validation, and production.
- Stay ahead of trends in wearables, health technology, performance apparel, fashion, materials, manufacturing, and culture.
QUALIFICATIONS:
- 8+ years of industrial design experience, with significant experience in consumer electronics, wearables, health technology, performance products, footwear, apparel, or technically complex consumer goods.
- A portfolio that demonstrates exceptional taste, concept development, design process, problem solving, prototyping, and production execution.
- Proven experience bringing products from early concept through manufacturing and launch.
- Deep understanding of ergonomics, body-worn products, soft goods, hard goods, materials, CMF, manufacturing processes, and design for scale.
- Strong 2D and 3D design skills, including sketching, CAD, rendering, visualization, and physical prototyping.
- Ability to lead ambiguous, future-facing design programs while also managing the details required to ship excellent products.
- Experience collaborating with engineering and manufacturing teams on technically constrained products.
- Strong storytelling and presentation skills, with the ability to influence executive stakeholders and cross-functional partners.
- A refined aesthetic point of view and a high bar for proportion, detail, materiality, usability, and emotional resonance.
- A collaborative, low-ego leadership style with the ability to mentor designers and elevate the work of a broader team.
- Passion for health, fitness, sport, human performance, design innovation, and the future of wearable technology.
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 $130,000 - $170,000. 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: Massachusetts, New York, New Jersey, Georgia, North Carolina, Washington DC
At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Job Summary
The Solutions Consultant at Reltio plays a pivotal role in the sales process, partnering with Account Executives to understand prospective customers' business challenges and to articulate the value of Reltio's cutting-edge data unification and AI-driven solutions. This individual will be responsible for developing and delivering compelling presentations and demonstrations, designing tailored solution architectures, and acting as a trusted technical advisor to prospects. The ideal candidate is passionate about data, possesses strong communication and presentation skills, and thrives in a fast-paced, innovative environment.
Key Responsibilities:
Collaborate with the sales team to identify and qualify sales opportunities, understanding customer needs and business objectives related to data unification and AI.
Develop and deliver engaging, customized product demonstrations and presentations that effectively showcase Reltio's value proposition.
Design and propose high-level solution architectures that address specific customer requirements and integrate with their existing technology landscape.
Develop and deliver highly customized, compelling product demonstrations and proof-of-concept (POC) engagements that showcase differentiated value.
Respond to technical questions and objections from prospective & existing customers, providing clear and concise explanations.
Lead and manage technical aspects of Request for Proposals (RFPs) and Request for Information (RFIs).
Build and maintain strong relationships with technical stakeholders and decision-makers within prospect/customer organizations.
Stay current with industry trends, competitive landscape, and Reltio's product advancements in data unification and AI.
Provide feedback from the field to Product Management and Engineering teams to contribute to product enhancement and innovation.
Assist in the creation of sales tools, best practices, and re-usable assets for the pre-sales organization.
Support marketing events, including trade shows and webinars, by delivering presentations and demonstrations.
Requirements
Required Experience/Skills/Education/Abilities:
Minimum 3 years of experience in pre-sales, solutions consulting, or a similar customer-facing technical role within the enterprise software industry.
Demonstrable understanding of enterprise data challenges, data integration concepts, and the value of data unification.
Proven ability to articulate complex technical concepts to both technical and non-technical audiences.
Excellent presentation, communication (written and verbal), and interpersonal skills.
Strong problem-solving skills and the ability to think strategically and analytically.
Experience with enterprise software sales cycles and methodologies.
Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or a related field.
Ability to travel to customer locations as needed.
Desired Experience/Skills/Education/Abilities:
Experience with SaaS solutions, cloud architectures, and data platforms.
Familiarity with AI/ML concepts and their application in data management or business intelligence.
Hands-on experience with AWS, Google Cloud Platform (GCP), or Microsoft Azure.
Knowledge of specific industry verticals (e.g., Life Sciences, Healthcare, Financial Services, CPG/Retail)
Experience with data modeling, ETL processes, or API integrations.
At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.
Overall Market Range
$184,000
—
$248,000 USD
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
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 and live longer through a deeper understanding of their bodies and daily lives. Protecting our members’ data and ensuring our systems scale securely and reliably is core to this mission.
WHOOP is hiring a Software Engineer II focused on backend development to build and enhance systems that power our platform. This role will directly contribute to delivering scalable and secure services that support millions of members worldwide. While backend development expertise is the primary focus, familiarity with cybersecurity concepts (data privacy, AuthN/AuthZ, etc) or cloud infrastructure concepts (AWS, IaC, Kubernetes, etc) will be considered a strong plus.
This is a top-funnel role: depending on your background and interests, you may align more closely with our Product Security team (focused on secure-by-default guardrails, compliance, and data privacy) or our Application Infrastructure team (focused on scalability, reliability, and developer enablement). Either way, you’ll have the opportunity to shape core platform practices and help WHOOP grow to the next level.
RESPONSIBILITIES:
- Design, develop, and maintain robust, scalable backend systems that power WHOOP’s core infrastructure and member experience.
- Collaborate with product managers, data engineers, frontend developers, and other cross-functional partners to deliver features that enhance member engagement.
- Build and maintain APIs to enable seamless integration with frontend applications and third-party services.
- Ensure system reliability, scalability, and performance through effective testing, monitoring, and optimization.
- Implement secure coding practices and contribute to designing systems that safeguard member data.
- Stay current with backend technologies and contribute to improving team engineering standards and best practices.
QUALIFICATIONS:
- 2-4 years of backend software development experience, ideally in languages like Java, Python, or C#.
- Experience designing and building RESTful APIs and microservices.
- Exposure to event-driven architecture (messaging/streaming tech such as Kafka, RabbitMQ).
- Familiarity with database design and management (e.g., PostgreSQL, MySQL, or NoSQL databases).
- Understanding of cloud infrastructure (AWS, GCP, or Azure).
- Familiarity with cybersecurity principles (data privacy, authentication, and authorization) is a plus but not required.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Good communication skills and ability to collaborate across teams.
BONUS QUALIFICATIONS:
-
- Experience working with infrastructure as code and developer enablement platforms.
- Familiarity with containers and orchestration (e.g., Docker, Kubernetes).
- Background in cloud security or incident response.
- Exposure to building translation or localization platforms to support multi-language content delivery.
- Hands-on experience with observability tools (logging, monitoring, alerting) in production environments.
ABOUT YOU
- You thrive on ownership and want to shape the foundation of WHOOP’s platform.
- You automate everything you can, always seeking to replace manual work with scalable tooling.
- You enjoy working cross-functionally and can communicate complex infrastructure and security topics clearly.
- You believe reliability, security, and visibility are just as important as speed and scale.
Learn more about our engineering teams and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.
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 http://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 $125,000 - $175,000. 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: 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 and live longer through a deeper understanding of their bodies and daily lives. Protecting our members’ data and ensuring our systems scale securely and reliably is core to this mission.
The Application Infrastructure team enables iOS, Android, Backend, and Web engineers to reliably and quickly deliver new features to members. We own and operate critical shared infrastructure, including Kubernetes and Kafka, and build the tooling and guardrails that allow teams across WHOOP to ship safely at high velocity.
As a Senior Platform Engineer on the AppInfra team, you will play a key role in driving large-scale architecture projects, collaborating with cross-functional teams to design and implement infrastructure that is highly scalable, resilient, and secure. You will build systems that help increase the safety of deployments to Kubernetes while also increasing the velocity of releasing new features. You will be responsible for ensuring optimal performance and stability for the entire software delivery pipeline. You will help set the direction of the AppInfra team to impact engineers across all WHOOP technology stacks.
RESPONSIBILITIES
- Design, develop, and operate WHOOP’s Kubernetes clusters running on AWS infrastructure
- Drive architectural decisions to improve scalability, resiliency, performance, and security across the build and deployment platform
- Build systems and tooling that increase deployment safety and accelerate release velocity to Kubernetes
- Advance CI/CD capabilities to support frequent, reliable production deployments
- Lead developer productivity improvements through tooling, automation, and platform integrations
- Partner with application, security, and data teams to embed secure-by-default infrastructure practices
- Participate in incident response, root cause analysis, and postmortems to continuously improve platform reliability
- Mentor and provide technical leadership to engineers on the Application Infrastructure team
- Help define and execute the long-term roadmap for infrastructure and Kubernetes management at WHOOP
QUALIFICATIONS:
- 5+ years of experience in DevOps, Platform, Site Reliability, CloudEngineering, or Backend Software Engineering roles
- Deep understanding of Kubernetes architecture and core components
- Strong knowledge of container networking concepts, including overlay networking, service meshes, and network policies
- Experience with multi-cluster Kubernetes environments and inter-cluster communication patterns
- Hands-on experience operating cloud infrastructure, preferably in AWS (e.g., IAM, VPC, EC2, S3, RDS, CloudTrail, Organizations)
- Hands-on experience with Infrastructure as Code tools (e.g. Terraform)
- Experience developing backend or infrastructure-adjacent services using Java, C#, or Python
- Proven ability to evaluate system performance, identify bottlenecks, and use data to drive improvements
- Experience collaborating with multiple stakeholders and prioritizing work for maximum business impact
BONUS QUALIFICATIONS:
- Experience operating Kafka or other large-scale distributed systems
- Experience with Kubernetes security best practices, including RBAC, secrets management, and pod security standards
- Exposure to service reliability practices such as SLOs, SLIs, and error budgets
- Prior experience supporting compliance or security-focused infrastructure initiatives
ABOUT YOU:
- You bring a security-first mindset to everything you build and operate
- You enjoy working on infrastructure that enables hundreds of engineers to move faster
- You’re comfortable operating in complex, high-scale production environments
- You enjoy teaching, mentoring, and raising the technical bar for those around you
- You’re curious, adaptable, and excited to learn across a wide range of systems and technologies
Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.
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 $150,000 - $215,000. 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: Boston, MA
Workplace: OnSite
WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives.
Our Machine Learning Core Algorithms team is responsible for developing novel algorithms and features that expand our health and fitness capabilities with wearable sensor data. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. This role is located on our Core Algorithms team: performance-related insights for sleep, recovery, and exercise.
As a Senior Machine Learning Engineer on our Core Algorithms team, you will design, build, and productionize ML systems that deliver meaningful, personalized metrics to millions of members. You will own the ML systems you build in collaboration with applied machine learning scientists. You will work at the intersection of data science, backend engineering, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML systems.
Responsibilities:
- Create, improve, and maintain production services that provide analysis for core features in collaboration with applied ML scientists and MLOps engineers.
- Improve ML data pipelines, tooling, and validation systems that support robust model performance.
- Work alongside applied ML scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency.
- Collaborate with researchers and Product teams to align model development with physiological insights and member impact.
- Build operational maturity within the Core Algorithms team as well as the broader Machine Learning team, developing processes for observability, alerting, and incident response (including on-call rotations).
- Develop applied ML operational infrastructure (frameworks, evaluation criteria, performance validation).
- Mentor other engineers and applied ML scientists on production practices, raising the bar through code and system design review.
Qualifications:
- Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred).
- 4+ years of professional experience as an ML engineer, applied researcher, or software engineer with a focus on ML systems.
- Experience working with time series data (wearable, physiological, or high-frequency sensor data).
- Strong coding skills in Python with a track record of writing clean, production-quality code.
- Experience designing, deploying and operating ML production systems at production scale (millions of users, real-time streaming and/or large-scale batch).
- Experience deploying and maintaining ML backend services (APIs, reliability, observability, monitoring; AWS or GCP).
- Preferred: 2+ years experience applying advanced mathematical and statistical techniques.
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.
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-$210,000. 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: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives.
We are seeking an Associate Director, Core Algorithms (Cloud) to lead the teams responsible for WHOOP's cloud-based algorithmic intelligence — the models and systems that transform physiological data into the sleep, recovery, and training insights our members rely on daily. This role is also responsible for ensuring our cloud algorithms evolve alongside WHOOP hardware, partnering with Sensor Intelligence and Hardware teams to translate new sensor capabilities into production-grade algorithmic experiences.
You will own the technical vision, execution, and organizational health of this team. You'll drive the evolution of our core production algorithms such as workout detection, strain, and sleep staging toward higher accuracy, better member experiences, and more mature development practices. You will partner closely with ML Platform, Sensor Intelligence, Research, Product, and Software Engineering to define what WHOOP algorithms can enable — not just how they perform technically, but how they show up for members.
This is a role for someone who has built and shipped physiological ML at scale in a consumer product, who has a deep product instinct for what algorithms mean to end users, and who knows how to elevate an ML organization's practices: raising the bar on tooling, processes, and standards to match the ambition of the work.
RESPONSIBILITIES
- Lead the cloud ML team responsible for the algorithms powering sleep, recovery, and training
- Directly manage applied ML scientists and ML engineers; provide coaching, career development, and performance feedback that grows individual contributors into strong technical leaders
- Ensure the technical quality bar for algorithm development is maintained by establishing the processes, reviews, and standards that guarantee rigor from research through deployment, and diving into designs and architectural decisions where necessary
- Help drive the vision for what WHOOP algorithms and next-generation sensors can enable; advocate for member experience and push the boundaries of what our data makes possible
- Ensure cloud algorithms remain compatible with future hardware generations; partner with Sensor Intelligence and Hardware to evolve proof-of-concept algorithms that leverage new sensor capabilities and bring them to production readiness
- Establish and improve development lifecycle practices: experiment management, model validation, deployment pipelines, and production monitoring
- Partner with ML Platform / MLOps to define requirements and drive maturity improvements across experiment tracking, model monitoring, deployment automation, and observability
- Drive cross-functional alignment with Sensor Intelligence, Product, Software Engineering, and Research teams
QUALIFICATIONS
- 8+ years of experience in machine learning or applied data science, with hands-on experience developing and shipping ML models for a consumer product
- 4+ years of people leadership experience directly managing machine learning scientists/engineers, with demonstrated growth of team members and a track record of building high-performing teams
- Experience scaling a production ML organization: growing teams and leaders, identifying gaps in the development lifecycle, and driving improvements that increase velocity, reliability, and rigor
- Deep product sense: ability to think about algorithms from the member's perspective, drive the vision for what algorithms can enable, and ensure the team is building toward meaningful user outcomes
- Ability to evaluate technical designs, guide architectural decisions, and ensure quality at the system level, without needing to write code day-to-day
- Experience defining and driving cross-functional programs with engineering, product, and science partners
- Strong communication skills with the ability to translate complex ML concepts to diverse audiences including product, engineering, and executive stakeholders
PREFERRED
- Experience building algorithms using physiological or wearable sensor data (e.g., PPG, accelerometer, temperature, bioimpedance)
- Experience managing through hardware-coupled development timelines where sensor availability and device generations constrain algorithm roadmaps
- Familiarity with time-series modeling, sequential data, and the specific challenges of continuous physiological monitoring
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.
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 $200,000-$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: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device tracks key physiological metrics such as heart rate variability, resting heart rate, and sleep quality to provide personalized insights into users' fitness, health, and recovery.
As a Backend Software Engineer II, you will build on WHOOP’s generative AI capabilities to develop and maintain exciting, member-facing features that drive meaningful health outcomes. You will play a vital role in delivering personalized insights across WHOOP and work alongside experienced engineers, designers, and product managers to help members better understand their health, optimize performance, and gain clarity throughout their WHOOP journey.
RESPONSIBILITIES:
- Collaborate with cross-functional team including Product, Design, Analytics, and Data Science to gather technical requirements and deliver impactful infrastructure and tools
- Leverage Java, Kafka, AWS, and PostgreSQL to deliver scalable and reliable software solutions and features
- Consistently deliver high-quality code, adhering to best practices in software design and development
- Develop and maintain observability and monitoring systems to ensure the stability and reliability of deployed features
QUALIFICATIONS:
- 2-4 years of backend software development experience, ideally in languages like Java
- Familiarity with asynchronous processing systems (Kafka, SQS)
- Experience in backend development, working on large-scale software systems and RESTful API design
- Experience in relational database design and development (PostgreSQL)
- Experience with scalable system design and performance optimization
- Strong independent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment
- Excellent communication skills and a commitment to delivering high-quality work
- A proactive, collaborative team player, eager to take on new challenges, continuously learn, and adapt in a fast-paced, data-informed environment
Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.
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 $125,000- $175,000. 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: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance.
We are seeking a Senior AI Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior.
In this role, you’ll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members.
RESPONSIBILITIES:
- Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data.
- Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities.
- Develop scalable, distributed training pipelines for large models on high-performance compute environments.
- Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability.
- Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value.
- Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP.
- Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI.
QUALIFICATIONS:
- Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience.
- 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems.
- Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training.
- Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
- Familiarity with training models on mulit-node, multi-gpu distributed compute environments.
- Familiarity with best practices for data, model, and context parallelisms.
- Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications.
- Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.).
- Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute.
- Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams.
- Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology.
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 $190,000 - $230,000. 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 - Massachusetts
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.
You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.
This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
What You’ll Own:
Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
Labeling elements of a piece of content rather than the content as a whole.
Assigning predefined categories or labels to items.
Evaluating the perceived quality and/or appropriateness of content
Generating labels to advance understanding of a concept, trend etc.
Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
Ordering or ranking items based on a set of preferences or criteria.
Creating prompts or questions that will be used to generate responses from a language model or other AI system.
Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
Generating responses to prompts or questions using a language model or other AI system.
Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
Producing concise summaries of longer pieces of text or data.
Converting spoken language or audio content into written text.
Converting text or spoken language from one language to another.
Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.
You’ll Thrive in This Role If You Have:
A Bachelor’s degree or higher in a
humanities specialization
is required. Advanced degrees are strongly preferred (Master’s or PhD)
Professional or Expert level proficiency (C1/C2) in English
The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Boston, Massachusetts, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
The Senior Manager, Consumer Insights will serve as a core partner and consumer advocate for Hasbro’s Global Play and Commercial teams, focusing on the Action Brands, Fashion, and Preschool portfolios, with responsibility for brand and franchise strategies, product innovation, and go-to-market planning. This individual brings wide-ranging and well-developed skills in quantitative and qualitative primary research, secondary data review, project oversight, and a consultative approach. You will take initiative in shaping research priorities, addressing issues, proposing recommendations, and promoting the use of insights with stakeholders.
We want someone enthusiastic about Hasbro’s brands and curious about what drives consumer behavior. Joining the Consumer Insights team, you will have the opportunity to represent the consumer’s perspective. You will boldly apply data and insights to support teams in enhancing business decisions that expand our brands and introduce winning products.
Location and Work Arrangement
This role is based at our Boston, MA, United States office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Act as the consumer advocate within the Action Brands, Fashion, and Preschool portfolios, guiding brand strategy, product development, forecasting, entertainment planning, and marketing decisions.
Working with the Director, prioritize business questions and requests across audience, category, brand, entertainment, product, creative, and commercial needs.
Proactively develop and deliver insights agendas aligned to strategic brand goals, development gates, commercial milestones, and go-to-market planning.
Develop and coordinate many custom and standardized research programs, such as foundational consumer learning, audience segmentation, brand tracking, product and package testing, messaging and campaign testing, and purchase journey research. Present findings through research reports and offer strategic advice to brand and creation teams.
Provide strategic storytelling and presentations that scale up to senior levels, distilling complex consumer findings into clear, compelling narratives that drive confident business decisions.
Champion the adoption of AI-powered research and insights tools across the insights team. Actively experiment with new approaches, build proficiency in AI-assisted synthesis, analysis, and storytelling. Help the team adopt new AI-enabled ways of working.
Model standards for quality and actionability in research plans and deliverables. Provide guidance and mentorship to junior team members. This role does not have direct people management responsibilities.
Confidently advocate for the consumer perspective and decisions based on insights. Share a clear, evidence-based point of view with collaborators, even when it challenges conventional thinking or the current direction.
What You'll Bring
At least 10 years of relevant experience, or equivalent demonstrated experience, in consumer insights or market research, ideally including several years working with children's or fan products, entertainment, and/or gaming.
Extensive knowledge in quantitative and qualitative insights techniques, such as segmentation, product testing, volumetrics, creative asset evaluation, and purchase journeys.
Outstanding skill in crafting engaging stories using data and insights, General Manager (GM)-level presentations.
Experience translating advanced analytics into insights – e.g., choice modelling, segmentation, driver analysis, price elasticity – with support from vendor partners and Analytics, Insights and Measurements (AIM) peers.
Strong problem diagnosis and definition skills.
Excellent prioritization and project oversight capabilities.
High-level analytical and critical thinking skills.
Excellent interpersonal, written, and verbal communication skills.
Proficiency with Microsoft Office 365 tools and navigating Power BI dashboards.
Passion for the toys & games category.
BA/BS or equivalent experience required, preferably in social sciences, marketing/market research, or a related field.
What Sets You Apart
An MBA, other advanced degree, or additional education in consumer insights or analytics; equivalent experience will also be considered.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$134,200
—
$201,300 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is looking for a Senior Mechanical Engineer to lead critical design, validation, and development for next generation biometric wearable products. You are a proactive, highly organized engineer with strong problem-solving skills and a sharp eye for detail. You thrive in a fast-paced, execution-driven setting and can drive creative mechanical design solutions with independence and sound technical judgement. You will mentor junior mechanical engineers and collaborate with cross-functional stakeholders (Electrical Engineering, Embedded Engineering, Manufacturing, Product, and Program Management). You will work closely with our suppliers and contract manufacturers around the world to execute engineering validation builds with a focus on high quality deliverables, sharp engineering risk management, clear technical communication upwards and externally, and commitment to product excellence. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you.
RESPONSIBILITIES:
- Complete technical ownership (at subsystem and component level) of a next generation product from design concept to manufacturing release
- Lead mechanical design, analysis and development of mechanical components around micro-electronics, and exact industrial design specifications, product requirements, and manufacturing constraints.
- Create SolidWorks CAD models to bring up design concepts that enable simulation exercises, prototyping, and mass production qualification
- Generate technical documentation such as 3D files, 2D drawings, bills of material (BOM’s), and Engineering Change Orders (ECO’s) following product development cycle timeline
- Communicate engineering changes to vendors and contract manufacturers as the product development cycle progresses
- Design testing protocols and validation plans, managing testing processes
- Perform thorough engineering root cause analyses to identify and resolve issues
- Mentorship, engineering best practices
- Willingness to travel internationally up to 20% of the time
QUALIFICATIONS:
- BS or MS in Mechanical Engineering or a related field
- 4+ years of experience in the design, documentation and validation of complex mechanical parts for medium to high volume consumer electronics
- 4+ years SolidWorks CAD experience with best practices for part design/ feature architecture, advanced assemblies, complex configuration management and integrating DFx feedback efficiently
- 2+ years working with Tier 1 and 2 contract manufacturers in Asia and North America
- Extensive experience in mechanical design concepts and the manufacture of products utilizing high volume, automated manufacturing processes as well as manual assembly
- Well-versed in design, prototyping, and evaluation of advanced injection molded plastic components, die castings, metal injection molding, packaging, and material selection
- Strong organization and communication skills and the ability to work well within teams in a fast-paced environment
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 $140,000 - $195,000. 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: 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 a Senior Product Designer to shape the next generation of member experiences at the intersection of human performance and emerging technologies. You will lead the end-to-end design of AI-powered experiences, translating complex data and intelligent systems into intuitive, trustworthy, and actionable products. You’ll use strong product judgment to identify where AI can meaningfully improve the member experience and where it can’t, while partnering closely with Product, Engineering, Data Science, and Research to define how intelligent experiences behave, not just how they look.
RESPONSIBILITIES:
- Lead complex and ambiguous product problems end-to-end, from identifying and framing opportunities through interaction design, prototyping, validation, and launch.
- Design intuitive AI-powered experiences that thoughtfully account for uncertainty, system feedback, user control, failure and recovery, member trust, accessibility, and privacy.
- Translate complex data, AI-driven insights, and intelligent system behaviors into clear, approachable, and actionable member experiences, applying strong product judgment to determine when AI is and isn’t the right solution.
- Conduct user research, usability testing, and rapid experimentation to uncover member needs, test assumptions, and inform design decisions.
- Create and prototype information architectures, workflows, interaction patterns, and system behaviors at varying levels of fidelity, using Figma and AI-assisted tools to explore concepts and technical possibilities.
- Partner closely with Product, Engineering, Data Science, Research, and other cross-functional partners to make thoughtful tradeoffs, define measures of success, and deliver high-quality production experiences.
QUALIFICATIONS:
- 5+ years of product design experience, with a strong portfolio demonstrating end-to-end ownership of shipped consumer-facing digital products.
- Deep expertise in UX and interaction design, particularly for mobile experiences, with the ability to turn ambiguous and complex problems into intuitive products.
- Exceptional visual and interaction design craft, with strong attention to detail and demonstrated consideration of experiences beyond the happy path.
- Strong product judgment and demonstrated ability to identify opportunities, prioritize effectively, make thoughtful tradeoffs, and independently drive consequential product and design decisions.
- Experience designing AI-powered, personalized, intelligent, or similarly complex data-driven experiences, with an understanding of considerations such as uncertainty, trust, user agency, feedback, and failure.
- High proficiency in Figma and experience collaborating closely with Product, Engineering, Data Science, Research, and other cross-functional partners to deliver meaningful product outcomes.
- Excellent communication and storytelling skills, with the ability to clearly articulate user problems, design rationale, tradeoffs, and decisions to a range of stakeholders.
- 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 $155,000-$215,000. 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: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life.
WHOOP is hiring a Senior Product Manager, Healthcare Product to help shape the future of health intelligence for millions of members. In this role, you will define and execute product strategies that improve health outcomes across key healthcare domains including women's health, cardiometabolic health, mental health, and preventive health. Working cross-functionally with engineering, design, data science, clinical, regulatory, and commercial teams, you will deliver innovative, evidence-based experiences that transform complex health data into actionable insights, helping members better understand and improve their health.
RESPONSIBILITIES:
- Define and drive product strategy for healthcare experiences, identifying opportunities to help members gain deeper visibility into their health and make informed decisions that improve outcomes
- Develop and prioritize an outcomes-driven product roadmap, balancing member value, scientific rigor, business impact, and technical feasibility
- Partner closely with engineering, design, data science, clinical, and regulatory teams to bring healthcare products and features from concept through launch and ongoing optimization
- Champion member needs through research, feedback synthesis, and data analysis, ensuring products deliver meaningful, engaging, and trusted experiences
- Leverage data and experimentation to evaluate product performance, measure outcomes, and continuously improve member engagement and health impact
- Help shape WHOOP's AI-powered health intelligence vision by building experiences that adapt to each member's unique physiology, health goals, and life stage
- Ensure healthcare features are developed responsibly, adhering to applicable regulatory requirements, ethical standards, and scientific best practices
- Stay informed on emerging healthcare technologies, consumer health trends, clinical innovation, and competitive developments to identify opportunities for differentiation and growth
QUALIFICATIONS:
- 5+ years of product management experience with a demonstrated track record of shipping successful consumer-facing digital products
- Experience leading complex cross-functional initiatives involving engineering, design, analytics, and business stakeholders
- Familiarity with healthcare, wellness, digital health, regulated products, clinical product development, or related domains
- Knowledge of healthcare product development considerations, including clinical validation, health data, regulatory frameworks, or Software as a Medical Device (SaMD), is preferred
- Expertise or strong interest in one or more areas such as women's health, exercise physiology, sleep health, nutrition, mental health, cardiometabolic health, or preventive care
- Strong analytical and strategic thinking skills, with the ability to use data and member insights to inform product decisions
- Exceptional communication and stakeholder management skills, with the ability to clearly articulate complex concepts and influence across teams
- Entrepreneurial mindset with a bias toward action and comfort operating in fast-paced, ambiguous environments
- Passion for improving health outcomes and advancing WHOOP's mission to unlock human performance and healthspan
- 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 $155,000 - $215,000. 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: Alabama; Alaska; Arizona; Arkansas; California; Colorado; Connecticut; Delaware; District of Columbia; Florida; Georgia; Hawaii; Idaho; Illinois; Indiana; Iowa; Kansas; Kentucky; Louisiana; Maine; Maryland; Massachusetts; Michigan; Minnesota; Mississippi; Missouri; Montana; Nebraska; Nevada; New Hampshire; New Jersey; New Mexico; New York; North Carolina; North Dakota; Ohio; Oklahoma; Oregon; Pennsylvania; Rhode Island; South Carolina; South Dakota; Tennessee; Texas; Utah; Vermont; Virginia; Washington; West Virginia; Wisconsin; Wyoming
Private practice with no doors and no overhead.
BetterHelp is one of the world’s largest online therapy platforms for mental health professionals who want to focus on client care — not admin or overhead. You provide the expertise. We handle the rest.
Why Join BetterHelp
Up to a $1,000 sign on bonus*
— Earn more when you see your first insurance client within 30 days of applying.
Competitive hourly compensation with an estimated range between $43 to $70 per hour for live sessions**
Therapists can now earn up to
33% more per session for insurance clients
).
$650 Health Benefit Stipend:
Eligibility for the Health Benefit Stipend requires a continuous commitment of 30 hours a week
No insurance headaches:
No clawbacks. No payment delays. We handle everything — you get paid weekly for every session.
Increase Caseloads:
70% of clients use insurance, helping you build and sustain a strong caseload.
*To qualify for the $1,000 first client bonus, therapists must be licensed in Indiana, Kentucky, Maryland, New York, or Washington, D.C., and see their first client within 30 days of submitting their application. Therapists licensed in other states who meet the same 30-day requirement may qualify for a $500 first client bonus.
**Compensation ranges can vary based on caseload and state of licensure. Apply today to learn more.
Additional Benefits
Work from the comfort of home (fully remote)
Flexible schedule – you set your own hours.
Free access to
390+ CEU courses
Free BetterHelp membership
for self-care
Insurance + cash-pay clients available
Additional bonuses & incentives for high performers
Zero overhead:
No fees are collected from the therapist, ever.
Autonomy over clinical decisions
Access and connect with our community of over 30,000 therapists
We’re Looking For
LCSW, LPC, LMFT, LMHC, Licensed Professional Counselor, or Psychologist / PsyD
Experienced Mental Health Therapist or Counselor with a passion for helping adults, couples, or teens.
Requirements:
3+ years of mental health counseling experience
Master’s or Doctorate in Counseling, Psychology, Social Work, or Marriage & Family Therapy
Fully independent license (LCSW, LPC, LMFT, LMHC, etc.) and can provide therapy without supervision.
A private and professional environment for conducting sessions.
Excellent written communication.
Must have professional liability insurance.
Reliable Internet connection.
Currently residing in the US.
NOTE: Unfortunately, if you are an intern or if you require supervision to provide therapy services, you cannot be a provider on BetterHelp at this time. Also, we are unable to accept substance abuse counselors, school counselors, registered nurses, career counselors, Christian counselors, and business coaches (unless they have an additional license as a mental health counselor).
Location: Alabama; Alaska; Arizona; Arkansas; California; Colorado; Connecticut; Delaware; District of Columbia; Florida; Georgia; Hawaii; Idaho; Illinois; Indiana; Iowa; Kansas; Kentucky; Louisiana; Maine; Maryland; Massachusetts; Michigan; Minnesota; Mississippi; Missouri; Montana; Nebraska; Nevada; New Hampshire; New Jersey; New Mexico; New York; North Carolina; North Dakota; Ohio; Oklahoma; Oregon; Pennsylvania; Rhode Island; South Carolina; South Dakota; Tennessee; Texas; Utah; Vermont; Virginia; Washington; West Virginia; Wisconsin; Wyoming
Private practice with no doors and no overhead.
BetterHelp is one of the world’s largest online therapy platforms for mental health professionals who want to focus on client care — not admin or overhead. You provide the expertise. We handle the rest.
Why Join BetterHelp
Up to a $1,000 sign on bonus*
— Earn more when you see your first insurance client within 30 days of applying.
Competitive hourly compensation with an estimated range between $43 to $70 per hour for live sessions**
Therapists can now earn up to
33% more per session for insurance clients
).
$650 Health Benefit Stipend:
Eligibility for the Health Benefit Stipend requires a continuous commitment of 30 hours a week
No insurance headaches:
No clawbacks. No payment delays. We handle everything — you get paid weekly for every session.
Increase Caseloads:
70% of clients use insurance, helping you build and sustain a strong caseload.
*To qualify for the $1,000 First Client Bonus, therapists must be licensed in Indiana, Kentucky, Maryland, New York, or Washington, D.C., and see their first client within 30 days of submitting their application. Therapists licensed in other states who meet the same 30-day requirement may qualify for a $500 First Client Bonus.
Additional Benefits
Work from the comfort of home (fully remote)
Flexible schedule – you set your own hours.
Free access to
390+ CEU courses
Free BetterHelp membership
for self-care
Insurance + cash-pay clients available
Additional bonuses & incentives for high performers
Zero overhead:
No fees are collected from the therapist, ever.
Autonomy over clinical decisions
Access and connect with our community of over 30,000 therapists
We’re Looking For
LCSW, LPC, LMFT, LMHC, Licensed Professional Counselor, or Psychologist / PsyD
Experienced Mental Health Therapist or Counselor with a passion for helping adults, couples, or teens.
Requirements:
3+ years of mental health counseling experience
Master’s or Doctorate in Counseling, Psychology, Social Work, or Marriage & Family Therapy
Fully independent license (LCSW, LPC, LMFT, LMHC, etc.) and can provide therapy without supervision.
A private and professional environment for conducting sessions.
Excellent written communication.
Must have professional liability insurance.
Reliable Internet connection.
Currently residing in the US.
NOTE: Unfortunately, if you are an intern or if you require supervision to provide therapy services, you cannot be a provider on BetterHelp at this time. Also, we are unable to accept substance abuse counselors, school counselors, registered nurses, career counselors, Christian counselors, and business coaches (unless they have an additional license as a mental health counselor).
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives. We handle massive amounts of data continuously streaming up to the cloud from people improving their health and wellness to the world’s greatest sports teams and athletes mandating a fault-tolerant and highly available product.
The Connectivity Software Team builds the critical link between WHOOP hardware, the iOS app, and the cloud. As an iOS Software Engineer on this team, you’ll design and implement the software that enables WHOOP’s wearable sensors to communicate seamlessly with the mobile platform. You’ll develop and optimize connectivity experiences that are robust, efficient, and invisible to the member — ensuring reliable data flow across our entire ecosystem
RESPONSIBILITIES:
- Architect, design, implement, and maintain iOS application components that interface directly with WHOOP hardware over Bluetooth Low Energy (BLE), Wi-Fi, or other communication protocols.
- Define and evolve the iOS software architecture and communication protocols, maintain comprehensive documentation, and drive consistency across iOS and Android implementations.
- Drive continuous improvement of performance, power efficiency, and reliability in the WHOOP connectivity software layer including background and system-level iOS services to enable reliable device connectivity, synchronization, and data transfer.
- Champion strong software architectural principles for testable, scalable, maintainable software on your own team and across the organization.
- Own and maintain a clear, prioritized backlog focused on code health, technical debt reduction, and testability improvements.
- Raise the bar and champion higher engineering standards through prompt code review, increased test coverage, and improved design practices. Hold teammates accountable.
- Represent the Connectivity iOS team in cross-functional settings such as bug triage, product syncs, firmware coordination, and guild representation.
- Participate in the release process including getting the app built, managing build variants, signing, sending and testing through Firebase, and submitting to the App store
QUALIFICATIONS:
- BS or MS in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.
- 5+ years of professional iOS software engineering experience with a solid foundation in Swift, iOS system APIs, concurrency, and memory management.
- Hands-on experience with Combine and background task processing for non-UI iOS features.
- Demonstrated examples influencing other engineers in the application of architectural and platform-based software design principals to build scalable, modular, testable software.
- Experience debugging and diagnosing issues across complex or distributed systems (for example: firmware, mobile, backend) is a strong plus.
- Excellent collaboration and communication skills, driving cross-functional problem solving, tradeoff definition, and optimization.
- 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.
Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.
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 $170,000-$230,000. 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.
ОфисBoston, MA
ОфисleadBoston, MA
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.