Company Overview:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using leading edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health insurance plans covering over 15 million people, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work, Top 5 LinkedIn™ Startup, TripleTree iAward, multiple KLAS Research Points of Light, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

Opportunity Overview:

We are looking for an AI commercial solutions leader to amplify Cohere’s value to health plans, providers, and patients. Reporting into the General Manager, you will be responsible for ensuring Cohere’s market solutions capitalize on the latest AI advancements and leverage AI to drive real and meaningful value for customers.  As a cross functional leader, you will work externally with customers/prospects and internally with business teams to create a strategic roadmap and help to determine the big AI decisions Cohere needs to make to continue to lead the market in prior auth transformation. You will form industry leading partnerships with AI vendors/players while focusing Cohere’s 20 member strong ML team on the highest value differentiators to build in house. You will serve as the bridge between the business owners and the ML teams to ensure value is realized and that solution marketing reflects our latest advancements.  Ultimately, the work you do will have a direct impact on the growth of the company and our ability to impact more patients at a time in their healthcare journey when they need help most.

You should apply for this role if you are a commercially-oriented, market-facing product leader who brings an entrepreneurial mindset to bring innovative solutions to the market.  You have both a technical and business mindset, letting you serve as the bridge between the business problems and what is feasible to deliver.  You love AI/ML and keep up with the latest advancements, industry trends, and know where value is truly being realized.  You can distill out the noise/hype, enabling focus on capabilities that will truly be value-adding.  You have an uncanny ability to simplify complex ideas, and translate concepts to customers or the market in simple and easy to understand ways.  And you love working with a wide range of people in a collaborative environment focused on solving problems and getting things done

Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

What you will do:

• Own Cohere’s AI strategic roadmap; assess build/buy/partner for capabilities
• Deeply understand customer / business problems; work with customers and internal teams to understand problems and identify areas where outsized value can be driven from ML solutions
• Partner with business owners to ensure AI is leveraged to amplify their solutions value
• Partner with product marketing teams to ensure Cohere’s external messaging reflects the latest and greatest AI capabilities
• Establish appropriate AI/ML kpis.  Ensure value-delivery of ML teams, measure / track outcomes of capabilities
• Support in creation of materials for investors / board on AI capabilities, industry position, research pipeline, etc.
• Deeply understand the incumbents, new entrants, and business dynamics of AI industry, and help Cohere form appropriate business strategies / models to capitalize on momentum

Your Background & Requirements

• Deep expertise in ML including latest wave of LLMs;  technical background preferred in AI/ML/data science
• Minimum 5 years of commercially oriented product experience; or experience working with customers to identify problems and provide AI/ML solutions
• Healthcare experience a plus, but not required
• Bachelor’s degree required; MBA and/or background in STEM preferred
• Passionate about improving the U.S. healthcare system and helping ensure every patient receives the best care possible
• Critical thinking and methodical problem solving skills
• Moving fluidly between strategic planning and tactical execution
• Managing through influence and leveraging cross-functional relationships to deliver
• Bias for action
• Excellent written and verbal communication skills
• Executive presence
• Proficiency in leading executive-level meetings
• Comfort and flexibility with the ambiguity and pace of a startup environment
• Coaching a team to excellence and motivating them to execute
• Skilled working effectively in a remote work environment with occasional travel

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

The salary range for this position is $150,000- $170,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

#LI-Remote

#BI-Remote

We're looking for a savvy and experienced Senior Data Engineer to join the Data Platform Engineering team at Hims. As a Senior Data Engineer, you will work with the analytics engineers, product managers, engineers, security, DevOps, analytics, and machine learning teams to build a data platform that backs the self-service analytics, machine learning models, and data products serving Million+ Hims & Hers subscribers.

You Will:

• Architect and develop data pipelines to optimize performance, quality, and scalability.
• Build, maintain & operate scalable, performant, and containerized infrastructure required for optimal extraction, transformation, and loading of data from various data sources.
• Design, develop, and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, PySpark, SparkSQL, and REST API endpoints to ingest data from various external data sources to Data Lake.
• Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance 
• Orchestrate sophisticated data flow patterns across a variety of disparate tooling.
• Support analytics engineers, data analysts, and business partners in building tools and data marts that enable self-service analytics.
• Partner with the rest of the Data Platform team to set best practices and ensure the execution of them.
• Partner with the analytics engineers to ensure the performance and reliability of our data sources.
• Partner with machine learning engineers to deploy predictive models.
• Partner with the legal and security teams to build frameworks and implement data compliance and security policies.
• Partner with DevOps to build IaC and CI/CD pipelines.
• Support code versioning and code deployments for data Pipelines.

You Have:

• 8+ years of professional experience designing, creating and maintaining scalable data pipelines using Python, API calls, SQL, and scripting languages.
• Demonstrated experience writing clean, efficient & well-documented Python code and are willing to become effective in other languages as needed.
• Demonstrated experience writing complex, highly optimized SQL queries across large data sets.
• Experience working with customer behavior data. 
• Experience with Javascript, event tracking tools like GTM, tools like Google Analytics, Amplitude and CRM tools. 
• Experience with cloud technologies such as AWS and/or Google Cloud Platform.
• Experience with serverless architecture (Google Cloud Functions, AWS Lambda).
• Experience with IaC technologies like Terraform.
• Experience with data warehouses like BigQuery, Databricks, Snowflake, and Postgres.
• Experience building event streaming pipelines using Kafka/Confluent Kafka.
• Experience with modern data stack like Airflow/Astronomer, Fivetran, Tableau/Looker.
• Experience with containers and container orchestration tools such as Docker or Kubernetes.
• Experience with Machine Learning & MLOps.
• Experience with CI/CD (Jenkins, GitHub Actions, Circle CI).
• Thorough understanding of SDLC and Agile frameworks.
• Project management skills and a demonstrated ability to work autonomously.

Nice to Have:

• Experience building data models using dbt
• Experience designing and developing systems with desired SLAs and data quality metrics.
• Experience with microservice architecture.
• Experience architecting an enterprise-grade data platform.

WHAT YOU’LL DO

Braze is seeking a Senior Data Scientist to join our Intelligence team. The Braze Intelligence team’s mission is to deliver a truly engaging and personalized customer experience through the creation of ML and AI enhanced marketing solutions.  You will help discover the scope of what is possible to improve customer engagement at scale. From that space of possibilities, you will also help select and support specific solutions as they go from prototype to product.

As a Data Scientist, you will:

• Collaborate with Product Managers and Engineers to build innovative ways to leverage data and improve decision-making for our customers
• Explore and analyze the billions of daily data points that Braze’s customers generate in search of predictive, valuable, actionable signals
• Build, analyze, and iterate on models that are best suited for the job, whether that’s supervised & unsupervised learning, reinforcement learning, neural networks, or simple regressions

WHO YOU ARE

• 5+ years of experience in the technology industry
• 5+ years of experience working with cloud or distributed systems and large customer datasets 
• Ph.D. in Computer Science, Applied Mathematics, or significant experience developing and deploying machine learning systems
• Extensive experience prototyping, refining, and deploying predictive models and machine learning & AI neural networks
• Experience working with Data Stores and frameworks such as TensorFlow and PyTorch

Meet the team:

The Safety Data Analysis Team within Torc’s Safety and Regulatory Department is responsible for providing the company with internal, but independent, oversight related to safety. The team includes accomplished experts in the areas of safety standards, safety management, and large-scale safety data analyses. This team collaborates across all areas of Torc, including product engineering, product safety & release, fleet operations, autonomy, simulation, and others to both foster a positive safety culture and identify solutions to controlling risk. As part of this team, you will be identifying solutions that build safety and trustworthiness into commercially successful automated driving systems.

What you will do:

• The Safety Data Analysis Team within Torc’s Safety and Regulatory Department is responsible for providing the company with internal, but independent, oversight related to safety. The team includes accomplished experts in the areas of safety standards, safety management, and large-scale safety data analyses. This team collaborates across all areas of Torc, including product engineering, product safety & release, fleet operations, autonomy, simulation, and others to both foster a positive safety culture and identify solutions to controlling risk. As part of this team, you will be identifying solutions that build safety and trustworthiness into commercially successful automated driving systems.

• The Statistician/Data Scientist, within the Safety Data Analysis Team will be using their statistical expertise to translate discussion from a variety of stakeholders into core questions and then robust designs that answer those questions. You will be answering safety assurance related questions relevant to transportation and autonomous driving systems.

• Being a software and automated vehicle company, this role involves working with large-scale, heterogenous data that are generated by sensors in software testing and during on-road operations. Your day-to-day work will leverage Python and its scientific libraries as well as R. A large portion of this work will require integration of physics and engineering principles to prepare data and evaluate its accuracy. You will also be connecting analyses with development workflows to automate the safety related monitoring of the organization and development process.

• Anticipate, research, and maintain facility with statistical methods used in ground transportation safety domain as well as analog domains

• Identify and select appropriate analyses methods for data ranging in scale from dense to sparse; apply statistical principals to manage bias and select appropriate sampling strategies; develop models and compare using statistical performance metrics

• Use an iterative method of data pre-processing, interactive visualization, and sharing of intermediate results to solicit early and ongoing guidance and buy-in from a variety of stakeholders

• Construct continuous analysis workflows to support day-to-day operations, gateway decision making, and event response

• Contribute to both impromptu discussions and planned gatherings to explain statistical approaches, weigh alternatives and provide robust statistical expertise

• Reduce complex statistical concepts and findings to unbiased, understandable and relevant information to influence individual developers, teams, executives and external stakeholders

• Translate methods and findings into clear and concise documentation

What you will need to succeed

• Degree(s) in Statistics or related technical field with relevant experience as specified below:

  • MS degree with 4+ years of experience
  • PhD with 2+ years

• Broad capabilities in statistical approaches and tools, both Bayesian and frequentist, experimental design, power analyses, ML, sparce/rare event analyses, time series analysis, categorical data analysis, multivariate analysis, and clustering

• Experience across a range of statistical approaches applied to engineering and/or physics-based applications (for example, ground vehicles in motion); demonstrable programming competency, particularly in Python, SQL and R

• Time management skills and the ability to track and prioritize tasks

• Naturally inquisitive and an excellent strategic problem solver. Able to dissect complex problems, make appropriate tradeoffs, and develop thoughtful recommendations

• Excellent interpersonal, verbal, and written communication skills to build trust and strong working relationships, effectively create and proofread documents and reports, and communicate to a diverse workforce

Bonus Points!

• Training in systems safety and/or transportation safety

• Experience in the automotive or heavy-vehicle industry

• Experience in the autonomous vehicle industry

• Experience working with NHTSA data sets, such as FARS, GES/CRSS, SGO

• Machine learning experience

• AWS, Terraform

Perks of Being a Full-time Torc’r  

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:     

• A competitive compensation package that includes a bonus component and stock options  
• 100% paid medical, dental, and vision premiums for full-time employees    
• 401K plan with a 6% employer match  
• Flexibility in schedule and generous paid vacation (available immediately after start date) 
• Company-wide holiday office closures  
• AD+D and Life Insurance

Grammarly team members in this role must be based in Germany, or Poland, and they must be able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub(s) where the team is based.

The opportunity 

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 professional teams every day. From instantly creating a first draft to perfecting every message, Grammarly’s product offerings help people at 96% of theFortune500 get their point across—and get results. Grammarly has been profitable for over a decade because we’ve stayed true to our values and built an enterprise-grade product that’s secure, reliable, and helps people do their best work—without selling their data. We’re proud to be one of Inc.’s best workplaces, a Glassdoor Best Place to Work, one of TIME’s 100 Most Influential Companies, and one of Fast Company’s Most Innovative Companies in AI. 

To help us reach that goal, we’re looking for an Applied Researcher with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our NLP team. The majority of the problems Grammarly’s NLP team is tackling haven’t already been solved elsewhere, which provides the opportunity for creativity and innovative problem-solving. This individual will work with other researchers, engineers, and linguists to create the next generation of writing and communication assistance tools. 

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

Your impact

As an Applied Researcher, you will have the opportunity to harness your passion for building exciting new product offerings that will impact millions of lives. You will need to stay up-to-date on the quickly evolving field of NLP while also focusing on building production systems. 

In this role, you will:

• Develop state-of-the-art tools for correcting, improving, and enhancing written English by using a variety of NLP, ML, and DL technologies.
• Productize and ship these features into Grammarly’s product offerings, which are used by millions of users daily.
• Stay up-to-date with the latest research trends that could improve our product.
• Contribute to the research strategy and technical culture of the company.
• Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant.
• Be an active member of the AI community by attending and speaking at events in Europe and abroad and by contributing to technical blogs and journals.

We’re looking for someone who

• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles, which are the blueprint for how things get done at Grammarly: move fast and learn faster, obsess about creating customer value, value impact over activity, and embrace healthy disagreement rooted in trust.
• Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
• Knows theoretical underpinnings of ML/DL.
• Has at least four years of industry experience researching and developing ML and DL technologies for real-world products.
• Knows how to apply ML/DL algorithms to NLP tasks effectively.
• Is proficient in at least one programming language (preferably Python).
• Shows a research mentality and a math-oriented mindset.
• Has strong written and spoken English.

Support for you, professionally and personally

• Professional growth:We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback.
• A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.

We encourage you to apply

At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. Grammarly is an equal opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, color, gender expression or identity, sexual orientation, sexual identity, national origin, citizenship, age, marital status, veteran status, disability status, criminal prosecution, judgment in a criminal case, or any other characteristic protected by law.

For more details about the personal data Grammarly collects during the recruitment process, for what purposes, and how you can address your rights, please see the Grammarly Data Privacy Notice for Candidates here.

#LI-AT1

????London or Remote (UK)  | ???? £70,000 to £100,000 + Stock Options + Benefits | Hear from the team

About us:

At Monzo we believe there’s a better way to do banking - we care deeply about our customers, are innovative and execute quickly.

We’re looking to revolutionise the way people manage their finances by putting them in control and promoting their financial wellbeing. We are expanding our range of borrowing products, aiming to create a genuine feel-good factor when it comes to personal credit. We are looking for driven, analytical and creative individuals to help us achieve this goal.

Our technology stack

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science
• Go to write our application code
• AWS for most of our backend infrastructure

Your day-to-day

• Develop statistical and machine learning models for our range of Borrowing products, with focus on credit decisions
• Own the full lifecycle of modelling projects, from model design and data curation, to deployment and monitoring in production
• Drive innovation with new data sources and solutions such as Open Banking

You should apply if:

• You are result oriented and motivated by the impact on our customers
• You are self-motivated and thrive in a fast-paced environment
• You have great attention to detail while keeping an eye on the big picture
• You are a great communicator able to articulate complex problems
• You are able build mutual respect and trust with diverse teams and stakeholders
• You are keen to grow your knowledge in both business and technology

You must have:

• Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering
• In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc
• Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap
• Experience of end-to-end model development and maintenance of ML models used for business critical decisions, ideally in a regulated industry

The Interview Process:

Our interview process involves 4 main stages:

• Recruiter Call
• Initial Call with Hiring Manager
• Take Home Task
• x3 final loop stage

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com

One of our team has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.

What’s in it for you:

???? £70,000 to £100,000 ➕ plus stock options & benefits

✈️ We can help you relocate to the UK

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

???? Learning budget of £1,000 a year for books, training courses and conferences

➕ And much more, see our full list of benefits here

#LI-NB2  #LI-Remote

​​About the Role:

As a Lead Data Scientist at Hims & Hers, you will be responsible for identifying opportunities to apply data science and machine learning techniques to improve our marketing, products and processes. You will partner cross-functionally with Analytics, Product, Marketing and Operations to run deep-dive analysis, and build data products. You will partner with analysts, machine learning engineers, and others to build and implement data products that help advance our mission to eliminate stigmas and break down barriers to healthcare access.

You’ll be a leader who has a passion for driving business impact through data science, has strong communication skills, and enjoys doing hands-on work with a deep and broad technical toolset. If you are excited about being part shaping the growing data science organization at Hims & Hers and using data science to disrupt the healthcare industry through innovative solutions– this is the role for you!

You Will:

• Provide technical guidance and thought leadership on data science methodologies, tools, and best practices
• Identify opportunities to apply data science and machine learning solutions across marketing and product, and operations
• Create data science roadmaps that accelerate hims & hers business goals
• Drive projects in areas like marketing optimization, customer segmentation, lifetime value and retention prediction, importance modeling of early customer interactions, and revenue forecasting
• Partner with engineers and business stakeholders to design, develop and deploy ML products end-to-end to drive business outcomes
• Empower the Data Science team through mentorship and collaborative efforts, actively pursuing opportunities to foster cross-team knowledge expansion and mentorship initiative

You Have:

• 10+ years working in Engineering and/or Data Science with a record of building ML models that have a measurable impact on the business
• The ability to deliver business impact in the context of ambiguity and evolving priorities to technical and non-technical stakeholders 
• Ability to develop technical roadmaps for solving complex business problems
• Excellent communication skills and ability to work effectively with both technical and non-technical partners
• Experience developing and putting models into production, while also owning and maintaining production models long-term
• Ability to manipulate large datasets with high dimensionality and complexity; proficiency in SQL and Python 
• Proficiency with ML tools such as pandas, sklearn, PyTorch, or TensorFlow
• MS or PhD degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, or related field

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

Join our Business Intelligence team as a Software Engineer and help us revolutionize marketing with ML-powered solutions! You'll work on cutting-edge technologies, impacting millions of users, and contributing to a product that truly makes a difference. The salary range starts at 3,500€ per month,along with restricted stock units and other benefits. Working in one of our Central European offices or from home on a full-time basis, you'll become a core part of the Engineering Team.

What challenge awaits you?

Prepare to dive into the exciting world of data-driven insights. You'll face the challenge of building and maintaining powerful features that empower our clients to make informed business decisions. This involves turning complex data into actionable insights, creating intuitive user experiences, and integrating cutting-edge AI technologies like GenAI and LLMs.

You'll collaborate closely with channel-specific engineering teams, data scientists, and product managers to ensure seamless integration of our business intelligence features with the rest of our platform, fostering a culture of collaboration and innovation. This role offers a unique opportunity to combine your technical expertise with a passion for data storytelling and a desire to empower businesses with data-driven insights.

Your job will be to:

1. Design & Deliver new features
2. Ensure quality and performance of developed solution
3. Support and Maintain owned components

a. Design & Deliver new features

• Translate business requirements into technical specifications: Work with product managers and data scientists to understand client needs and translate them into actionable features, focusing on the backend logic and data processing aspects.
• Design and implement APIs for data access and manipulation: Develop secure and efficient APIs for front-end applications to access and interact with the data insights generated by the platform.
• Integrate AI capabilities: Explore and implement GenAI or LLM models as backend services, providing the data processing and insights generation capabilities for front-end use.
• Collaborate with product designers and front-end engineers: Provide technical expertise and guidance on API design, data structure, and backend capabilities to support front-end development and user-friendly interactions.

b. Ensure quality and performance of developed solution

• Write comprehensive unit tests and integration tests: Ensure that new features function as expected and integrate smoothly with existing backend systems.
• Implement robust logging and monitoring: Track key performance indicators and identify potential issues proactively to ensure the feature's reliability and performance.
• Collaborate with QA engineers and perform code reviews: Work with QA engineers to ensure that the backend functionality meets quality standards and aligns with the requirements.

c. Support and Maintain owned components

• Respond to client inquiries and troubleshoot issues: Provide prompt and efficient support to clients experiencing issues with features you've developed, focusing on backend functionality and data processing aspects.
• Implement bug fixes and performance improvements: Continuously maintain and enhance existing backend features based on user feedback, performance data, and evolving business requirements.
• Document code and processes: Create clear documentation for your code and processes to facilitate future maintenance and collaboration with other team members.

What technologies and tools does the BI team work with?

• Programming languages - Python 
• Google Cloud Platform services - GKE, BigQuery
• Data Storage and Processing - MongoDB
• Software and Tools - Grafana, Sentry, Gitlab, Jira, Productboard, PagerDuty 

Our team builds features for a powerful data insights platform that empowers our clients. We leverage advanced analytical techniques, including predictive modeling, trend analysis, and anomaly detection, to create impactful features. We are also exploring the integration of AI technologies like natural language processing and machine learning for anomaly detection to further enhance our platform. Experience with data mining, statistical modeling, data visualization, and AI technologies would be highly valuable for building and maintaining these features.

Your success story will be:

• In 30 Days: Successfully onboard and contribute to ongoing tasks, demonstrating understanding of the codebase and team processes.
• In 90 Days: Contribute to design discussions and independently deliver high-quality code for assigned features. Participate in investigating and resolving production issues.
• In 180 Days: Independently manage larger tasks, contribute to team improvements, and confidently handle L3 support, investigating and resolving production issues.

You have the following experience and qualities:

1. Professional— Proven experience in python engineering, system design, and maintenance in the area analytical features.
2. Personal — Demonstrates strong initiative, ability to work within a team, communication skills, and a commitment to continuous learning and improvement.

Professional experience

• Proven experience in Python engineering: Strong Python skills are essential for building our data-driven features. Experience with data processing, data structures, and algorithms is key.
• Solid understanding of software architecture principles: Building scalable and reliable features for our platform requires a solid understanding of software architecture principles, especially in the context of APIs and microservices for data access and manipulation.
• Experience with version control systems (e.g., Git) and CI/CD pipelines: We utilize Git for code management and CI/CD pipelines for efficient development and deployment. Experience with these tools will streamline your workflow.
• Familiarity with common data analysis and ML frameworks: While we are not strictly an ML team, we are exploring the integration of AI and machine learning. 

Personal qualities

• Demonstrates strong initiative and a proactive approach to problem-solving.
• Excellent communication and collaboration skills, with the ability to work effectively within a team.
• A genuine passion for learning new technologies and keeping up-to-date with the latest advancements.
• A commitment to delivering high-quality work and a dedication to continuous improvement.

Excited? Join us and transform the future of commerce experiences.

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. 

We do. We can’t cram it all in here, but you’ll start noticing it from the first interview. 

Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters. 

This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.

Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. 

If that sounds exciting—and the job description below feels like a fit—we really should start talking.

BetterUp is looking for a Sr. Product Manager to join our direct to consumer team. In this role, you will play a key part in launching and scaling novel consumer products combining the best of BetterUp’s science, human coaching, and AI experiences, ultimately contributing to user and revenue growth in our consumer business.

Within the consumer team, you will collaborate with a talented team of designers, engineers, and analysts to test and implement new products and optimize existing user flows. Additionally, you will work closely with cross-functional teams, including Marketing, Content, GenAI, Labs, Legal, and Ops, to ensure the success of initiatives that enhance user experiences and contribute to the overall growth and success of BetterUp.

What you’ll do:

• Craft transformational product experiences for the consumer market, combining the best of BetterUp’s science, human coaching, and AI capabilities.
• Identify and articulate key performance indicators (KPIs), establishing clear goals for major  initiatives that connect to the company’s strategic objectives. Proactively monitor, analyze, and report on the health of our consumer product portfolio.
• Prioritize initiatives based on business impact and available resources. Make strategic and data-based decisions about trade-offs within the team’s roadmap, balance scope with quality, and communicate to diverse stakeholders ranging from team members to C-suite executives.
• Execute on large products with high ambiguity, strategically leveraging peers, stakeholders, and managers to deliver novel value.
• Lead the development of novel products and product features from conceptualization to implementation.
• Design, implement and measure multivariate A/B tests to show incremental impact across new features and optimizations of current features.
• Develop and strengthen peers and collaborators around you, elevating the team and fostering a sustainable high performance culture.

If you have some or all of the following, please apply:

• 5-7 years of previous experience as a Product Manager in consumer facing growth-oriented roles
• Demonstrated ability to drive revenue impact through increased product adoption, engagement and retention
• Proven ability to prioritize using a combination of data, user insights and product intuition, connecting the strategy to user needs, features and metrics in a logical narrative.
• Experience leading the end to end product lifecycle for large and complex initiatives
• Strong interpersonal skills, with the ability to communicate and influence different levels of the organization in a remote setting
• Comfortable setting up, running, and evaluating the success of a/b experiments in Amplitude
• Expert knowledge of product design and development processes
• Self-directed and biased towards action
• Comfortable in dynamic, fast-paced, and often ambiguous environments, embracing change with a positive mindset
• Strong systems thinker with the ability to design elegant solutions to complex problems
• Passionate about our mission to “help people everywhere pursue their life with clarity, purpose, and passion”
• Excitement about using AI and ML to deliver best in class product experiences
• Computer science/engineering degree and/or consulting experience is a plus

Benefits:

At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. 

• Access to BetterUp coaching; one for you and one for a friend or family member 
• A competitive compensation plan with opportunity for advancement
• Medical, dental and vision insurance
• Flexible paid time off
• Per year: 
• All federal/statutory holidays observed
• 4 BetterUp Inner Work days (https://www.betterup.co/inner-work)
• 5 Volunteer Days to give back
• Learning and Development stipend
• Company wide Summer & Winter breaks 
• Year-round charitable contribution of your choice on behalf of BetterUp
• 401(k) self contribution

We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply.

BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future.

The base salary range for this role is $155,550  – $233,300.

Protecting your privacy and treating your personal information with care is very important to us, and central to the entire BetterUp family. By submitting your application, you acknowledge that your personal information will be processed in accordance with ourApplicant Privacy Notice. If you have any questions about the privacy of your personal information or your rights with regards to your personal information, please reach out tosupport@betterup.co

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Overview

About the Role:

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart's ads systems. You will use machine learning to devise and refine solutions in crucial areas such as ads selection, ranking, auction, and pricing across all of Instacart’s consumer facing pages like Search, storefront, aisle, pre and post checkout experiences, among many others. You will actively contribute to initiatives, assisting in all stages from the initial concept, through prototyping and experimentation, to final implementation.

About the Team:

The Ads Marketplace team is responsible for the systems and algorithms for showing the right ad to the right user at the right time to balance all of user value, advertiser value, and instacart revenue . The team optimizes a multi-sided marketplace to ensure customers see ads that help them try new products/brands, advertisers get their products out in front of appropriate users for a good return on investment, and instacart generates the deserving revenue as well. The team tackles hard problems in a variety of spaces, such as ranking, pricing, personalization, auction, UX as well as foundational problems executing on a high throughput system with dynamic data.

About the Job:

• Design, develop, and deploy machine learning solutions to tackle practical challenges in the ads organization.
• Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
• Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
• Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.

About You:

Minimum Qualifications:

• Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience
• Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
• Have strong analytical skills and problem-solving ability
• Are a strong communicator who can collaborate with diverse stakeholders across all levels

Preferred Qualifications:

• Have 1-2 years of industry experience using machine learning to solve real-world problems with large datasets
• Knowledge of deep learning frameworks and methodologies
• Experience in applying machine learning and optimization techniques to solve marketplace problems

About AdRise (Part of Tubi Media Group): 

AdRise is building a unified ad platform to support the entire Tubi and Fox ad ecosystems. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

AdRise is an advanced, integrated technology platform for CTV and linear inventory that has evolved into an enterprise-wide platform for FOX. AdRise powers OneFOX, FOX’s cross portfolio inventory product which includes FOX Sports, FOX Entertainment, FOX News Media and Tubi. Our mission is to enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

We currently have 2 Product Manager openings with different focus areas.

Identity (1):You will be focused on building AdRise’s Identity Spine and data strategy, among other products that will help differentiate AdRise from others in-market.

• 5+ years in Product Management, Engineering, or equivalent experience in developing identification, CDP, identity spine, or identity graph data sets
• Proficient understanding of PII handling techniques
• Familiarity with measurement, identity landscape, and privacy regulations within the advertising industry
• Hands-on experience with SQL, coupled with the skill to write queries against secure datasets to confirm product assumptions and discoveries

Platforms (1):You will be focused on building AdRise’s Data Management Platform among other products that will help differentiate AdRise from others in-market.

• 5+ years of experience in the ad tech industry, with an emphasis on publisher-side solutions, including: ad serving, programmatic advertising, header bidding, and related technologies
• In-depth knowledge of the digital advertising ecosystem, including ad serving technologies and programmatic technologies (DSPs, SSPs, exchanges, etc), as well as agency, brand, publisher, and technology vendor dynamics
• Strong knowledge base in identity, data modeling techniques, audience segmentation, and ad measurement
• Hands-on experience with SQL, coupled with the skill to write queries against secure datasets to confirm product assumptions and discoveries

Responsibilities: 

• Lead the product development lifecycle, focusing on execution from concept through to launch, adoption, and ongoing optimization
• Collaborate with engineering, ML, data science, and UX teams to ensure products are conceived and built to the highest standards
• Define clear product roadmaps based on a deep understanding of market needs, technological trends, and AdRise's strategic priorities
• Manage stakeholder relationships across the organization, prioritizing product features and resources to meet business objectives
• Spearhead the rollout and adoption strategies for new features, measuring product performance and iterating based on feedback and data with AdRise’s Program Management team

Bonus Points:

• Experience with Connected TV (CTV/OTT)
• Linear television data knowledge
• Master’s degree in computer science or related field

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