This is an exciting opportunity for a highly experienced, independent clinical biostatistician to advance adoption of Natera’s oncology portfolio of cutting-edge molecular diagnostic tests. As a Lead Biostatistician, you will independently lead the design, analysis, and reporting for multiple practice-changing oncology clinical trials. You will propose efficient, fit-for-purpose study designs with broad impact across the oncology portfolio.

The ideal candidate brings deep statistical expertise, strong scientific communication skills, and a proven track record of applying innovative methodologies to oncology clinical trial design in a fast-paced, cross-functional environment.

PRIMARY RESPONSIBILITIES: 

• Study Design and Statistical Strategy: Lead the statistical design and analytical planning for oncology clinical utility studies. Provide technical expertise in complex study design methodologies and data analyses. Propose and justify efficient study designs tailored to complex oncology use cases.

• Cross-Functional Collaboration: Serve as study statistician for multiple studies. Collaborate with clinical, medical, and translational partners to influence study planning, development, and execution. Identify risks, proactively communicate concerns, and champion solutions to interdisciplinary teams and executive leaders.

• Documentation and Reporting: Author and review high-quality statistical deliverables, including statistical analysis plans (SAPs), and reports (TLFs, CSRs, publications) for cross-functional collaborators and stakeholders. 

• Innovation and Improvement: Recommend and apply novel statistical approaches where appropriate. Mentor early career statisticians and support continuous improvement of departmental processes, tools, and templates to enhance team efficiency and analytical rigor.  Collaborate on manuscripts for publications.

QUALIFICATIONS: 

• Advanced degree in Biostatistics, Statistics, or a related quantitative field (Ph.D. preferred).

• 4+ years of experience in clinical trial biostatistics.

• Strong expertise in time-to-event analysis, including handling of censoring, competing risks, and advanced survival modeling approaches commonly used in oncology.

• Expertise with innovative study design (e.g. adaptive and biomarker-informed designs), power calculations, and endpoint evaluation.

• Working knowledge of ICH and GCP guidelines as well as CDISC standards (e.g. SDTM, ADaM).

• Proficient in R.

KNOWLEDGE, SKILLS, AND ABILITIES: 

• Expert-level ability to independently design clinical studies, grounded in deep domain knowledge and a nuanced understanding of complex, oncology-specific challenges.

• Experience with biomarker enabled clinical study designs, sample size determination, and endpoint evaluation.

• Demonstrated ability and enthusiasm for working in fast-paced, cross-functional environments with collaborators from diverse technical backgrounds.

• Ability to communicate complex statistical concepts clearly to both technical and non-technical audiences.

Preferred qualifications: 

• Working-knowledge of NGS-based diagnostics and ctDNA/MRD.
• Experience with non-inferiority studies.

This is an exciting opportunity for a highly experienced, independent clinical biostatistician to advance adoption of Natera’s oncology portfolio of cutting-edge molecular diagnostic tests. As a Lead Biostatistician, you will independently lead the design, analysis, and reporting for multiple practice-changing oncology clinical trials. You will propose efficient, fit-for-purpose study designs with broad impact across the oncology portfolio.

The ideal candidate brings deep statistical expertise, strong scientific communication skills, and a proven track record of applying innovative methodologies to oncology clinical trial design in a fast-paced, cross-functional environment.

PRIMARY RESPONSIBILITIES: 

• Study Design and Statistical Strategy: Lead the statistical design and analytical planning for oncology clinical utility studies. Provide technical expertise in complex study design methodologies and data analyses. Propose and justify efficient study designs tailored to complex oncology use cases.

• Cross-Functional Collaboration: Serve as study statistician for multiple studies. Collaborate with clinical, medical, and translational partners to influence study planning, development, and execution. Identify risks, proactively communicate concerns, and champion solutions to interdisciplinary teams and executive leaders.

• Documentation and Reporting: Author and review high-quality statistical deliverables, including statistical analysis plans (SAPs), and reports (TLFs, CSRs, publications) for cross-functional collaborators and stakeholders. 

• Innovation and Improvement: Recommend and apply novel statistical approaches where appropriate. Mentor early career statisticians and support continuous improvement of departmental processes, tools, and templates to enhance team efficiency and analytical rigor.  Collaborate on manuscripts for publications.

QUALIFICATIONS: 

• Advanced degree in Biostatistics, Statistics, or a related quantitative field (Ph.D. preferred).

• 4+ years of experience in clinical trial biostatistics.

• Strong expertise in time-to-event analysis, including handling of censoring, competing risks, and advanced survival modeling approaches commonly used in oncology.

• Expertise with innovative study design (e.g. adaptive and biomarker-informed designs), power calculations, and endpoint evaluation.

• Working knowledge of ICH and GCP guidelines as well as CDISC standards (e.g. SDTM, ADaM).

• Proficient in R.

KNOWLEDGE, SKILLS, AND ABILITIES: 

• Expert-level ability to independently design clinical studies, grounded in deep domain knowledge and a nuanced understanding of complex, oncology-specific challenges.

• Experience with biomarker enabled clinical study designs, sample size determination, and endpoint evaluation.

• Demonstrated ability and enthusiasm for working in fast-paced, cross-functional environments with collaborators from diverse technical backgrounds.

• Ability to communicate complex statistical concepts clearly to both technical and non-technical audiences.

Preferred qualifications: 

• Working-knowledge of NGS-based diagnostics and ctDNA/MRD.
• Experience with non-inferiority studies.

Overview

As a Compensation Manager you will serve as a strategic leader and subject matter expert responsible for developing, optimizing, and leading compensation programs. You will evolve our compensation frameworks to attract, retain, and motivate top talent in alignment with our business goals and compensation philosophy. As a trusted business partner to the People Team and senior leadership, you will drive compensation strategy, lead complex projects, ensure regulatory compliance, and deliver data-driven insights to shape equitable, competitive pay practices.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Lead the design, implementation, and continuous evolution of compensation strategies aligned with business objectives and market dynamics.
• Partner with HR, Finance, and business leaders to advise on salary decisions, job leveling, and promotions.
• Drive the development and execution of Career Ladder frameworks to support internal mobility, employee development, and engagement.
• Oversee job architecture including job evaluation, leveling, and grade assignments.
• Manage the annual compensation planning cycle including merit, promotion, and adjustment recommendations; Provide guidance to leaders on budget allocation and pay-for-performance alignment.
• Conduct market research and ensure pay is competitive and aligned with internal equity.
• Monitor compensation trends and recommend changes to maintain competitive market positioning and internal equity.
• Maintain deep understanding of relevant laws and regulations (e.g., FLSA, minimum wage, pay transparency), ensuring all compensation practices remain compliant.
• Conduct compensation-related audits, internal reviews, and support pay equity and transparency initiatives.
• Maintain compensation-related policies and procedures, ensuring consistency and fairness across the organization.
• Partner with HRIS and IT to ensure accuracy, integrity, and compliance of compensation data and systems.
• Analyze compensation data and create clear reports for leadership.
• Manage survey participation and external vendor relationships.
• Lead compensation-related projects, including system enhancements, career frameworks, and organizational design support.

Location & Travel Expectations:

• This role will be based out of the Scout Motors corporate headquarters in Charlotte, NC. 
• This role requires 4 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor’s degree in Human resources, Finance, Business, or related field.
• 8+ years of progressive experience in compensation analysis and program management.
• Strong analytical and quantitative skills with ability to interpret complex data and develop strategic insights.
• Demonstrated ability to influence senior leaders and collaborate across multiple functions.
• Deep knowledge of federal/state wage and hour regulations and compensation compliance standards.
• Advanced proficiency in Excel, compensation benchmarking tools and HRIS systems (e.g., Workday, SAP).

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $120,000.00 - $145,000.00

Internal leveling code: IC8

Real Chemistry is looking for a Senior Strategist to join our growing team!

21GRAMS, part of Real Chemistry, takes an innovative approach to advertising, and focusing on making healthcare more human.  Not just in our work, but in the way we conduct business, approach client relationships, and treat each other. It’s a place where people subscribe to the adage, “Be good to each other, but hard on the work.” A place where people are not just in it for the paycheck, but to make a dent in the universe. Sound like you?

21GRAMS is seeking a Senior Strategist to gather critical data that ensures strategies are accurate and planned accordingly. The Senior Strategist will write clear and forward-thinking strategies involving encouraging and advising creative teams. They will also research clients to understand them and their objectives while producing inventive ideas with team members. 

This is a hybrid role, based in any of our US offices—including New York City, Boston, Chicago, Carmel, Lambertville, or San Francisco—or remotely within the US, depending on team and business needs.

What you’ll do:

• Lead and oversee competitive audits and analysis 
• Show deep command of brand and the brand’s category 
• Attend market research and provide key insights 
• Create research and insight decks 
• Help Strategy Director/Group Strategy Director with brand planning
• Assist with client workshops, oversee development of materials, and facilitate sections of the workshop and breakout groups 

• Manage/Mentor Strategists and Associate Strategists, helping them develop their skills and complete work at the highest levels of quality 

This position is a perfect fit for you if:

• Our Company values – Best Together, Impact-Obsessed, Excellence Expected, Evolve Always and Accountability with an “I” – really speak to you.
• You are adaptable, resilient, and OK with adjusting your scope, responsibilities, and focus as we grow. When things change, so do we. We’re always evolving.
• You are proactive, driven, and resourceful with strong prioritization skills and a desire to dive into the data.
• You are highly organized self-starter, able to work independently and under tight deadlines.

What you should have:

• Bachelor’s Degree in business, marketing, or other related fields
• 2-3 years of experience in strategic management with integrated agencies
• Creative mind and ability to encourage and instigate ideation across departments
• Oral and written communication skills
• A leader that can coach, encourage, and mentor clients, staff, and team members
• Crucial problem-solving abilities
• Strong command for quantitative and qualitative research methodologies and solid understanding of when and how to apply them to a given client challenge

Pay Range: $100,000-$110,000
This is the pay range the Company believes it will pay for this position at the time of this posting.  Consistent with applicable law, compensation will be determined based on job-related, non-discriminatory factors including but not limited to work experience, skills, certifications, and geographical location. The Company reserves the right to modify this pay range at any time. 

At Target RWE, our mission is driven by a deep commitment to people, whether it’s the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science.

Overview

We are seeking a Principal to join Target RWE’s Quantitative Sciences (QS) organization. In this role, you will help shape how we design, execute, and communicate real-world clinical studies using Target’s data.

This is a highly cross-functional and client-facing role. You will bring strong analytical and scientific expertise, paired with the ability to apply the right level of methodological rigor for the question at hand, balancing credibility, practicality, and clarity. You will work closely with internal teams and external partners to ensure analyses are scientifically sound, clearly communicated, and aligned with real-world use cases.

You will serve as a key representative of Target’s scientific capabilities, engaging directly with pharmaceutical and biotech partners, supporting client discussions, and helping translate complex analytical approaches into clear, actionable insights.

What You’ll Do

Applied Methodology and Study Design

You will ensure that Target’s analyses are scientifically rigorous, practical, and aligned with real-world use.

• Guide the design of observational studies using real-world data, including retrospective and prospective analyses
• Apply statistical and epidemiologic methods in a practical, fit-for-purpose way
• Develop and review study protocols and statistical analysis plans
• Ensure analyses are reproducible, interpretable, and aligned with regulatory and scientific expectations
• Partner with internal teams to translate research questions into practical analytic approaches

Client-Facing Scientific Leadership

You will serve as a key scientific voice in client and partner interactions.

• Participate in and lead client meetings to explain study design, methodology, and results
• Translate complex analytical concepts into clear, accessible language for diverse audiences
• Support business development efforts by helping communicate Target’s scientific approach and data value
• Represent Target in external settings, including conferences, scientific collaborations, and partner discussions
• Build trust with clients by providing thoughtful, pragmatic, and credible scientific guidance

Cross-Functional Collaboration

You will connect data, analytics, and business needs across the organization.

• Partner closely with Product, Engineering, Medical Science, Clinical Operations, and Commercial teams
• Help shape analytic strategies that align with both scientific goals and customer needs
• Provide guidance to the Quantitative Sciences team on study design and interpretation
• Mentor team members on balancing methodological rigor with practical execution
• Contribute to internal best practices for scalable, high-quality evidence generation

What You’ll Bring

• PhD or MS in biostatistics, epidemiology, health economics, data science, or a related field
• 10+ years of experience working with real-world data (EMR, claims, registry, or clinical trial data)
• Strong foundation in observational study design and applied statistical methods; experience with real-world pragmatic clinical trial designs is a plus
• Demonstrated ability to apply methods pragmatically, selecting the right approach for the problem
• Willingness to engage directly with data and analyses as needed, with working knowledge of R and/or SQL to support exploratory work, validation, and collaboration with analytic teams
• Experience working directly with clients or external partners in life sciences or healthcare
• Excellent communication and presentation skills, with the ability to explain complex concepts clearly
• Comfortable operating in client-facing settings, including meetings, presentations, and scientific discussions
• Strong collaboration skills across technical and non-technical teams

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.

We are hiring a Customer Success Enablement Manager to own the systems, skills, and standards that enable our post-sales teams including Customer Success and Professional Services to deliver consistent value, faster time-to-value, and measurable customer outcomes at scale. 

This role is not about running training sessions for the sake of it. It is about changing behavior and directly impacting retention, expansion, and long-term customer success.

Why this role matters:

As MaintainX scales, post-sales execution becomes increasingly complex. Customers span multiple sites, stakeholders, and industries, and expectations for value realization continue to rise.

We need a dedicated enablement individual who can:

• Define what “great” looks like across post-sales roles
• Translate strategy into repeatable, role-based execution
• Reduce customer time-to-value and employee ramp time
• Drive measurable improvements in retention, expansion, and Net Dollar Retention

This role sits at the intersection of Customer Success, Professional Services, Product, and Revenue Enablement and owns post-sales enablement strategy end-to-end, from definition through execution and measurement.

What you'll do:

• Design and deliver scalable enablement programs that build post-sales capabilities across the full customer lifecycle and journey. This includes, but is not limited to, customer relationship management, value-based conversations, onboarding and product adoption execution, structured consulting engagements, renewal readiness, expansion support.
• Establish and maintain role-based curricula and learning programs for Customer Success Managers and Implementation Consultants in partnership with CS, Professional Services, and Enablement leadership.
• Partner with the New Hire University Program Manager to support onboarding and everboarding programs that accelerate ramp time and continuously upskill tenured post-sales team members.
• Create, maintain, and evolve enablement and training resources for the post-sales organization, including playbooks, frameworks, methodologies, process guidance, and industry best practices.
• Equip Customer Success Managers with frameworks and tools to deliver effective Business Impact Reviews, articulate ROI, and lead value-based conversations tailored to customer personas, industries, and levels of seniority.
• Enable Implementation Consultants with structured guidance, tools, and best practices to deliver consistent, high-quality onboarding experiences and drive faster customer time-to-value.
• Provide one-on-one coaching, feedback, and targeted training to post-sales team members to strengthen customer interactions, technical confidence, and problem-solving effectiveness.
• Analyze performance data, customer outcomes, and call insights to identify knowledge and skill gaps and prioritize enablement initiatives across post-sales roles.
• Drive improvement in key post-sales outcomes such as Net Dollar Retention, churn reduction, expansion readiness, and onboarding effectiveness through focused, measurable enablement efforts.
• Gather and synthesize feedback from post-sales team members and managers to continuously evolve training content, resources, and coaching practices.
• Champion thoughtful adoption of AI-driven tools and insights to scale coaching, learning, and enablement effectiveness across the post-sales organization.
• Measure the impact of enablement programs using qualitative and quantitative inputs, iterating continuously to ensure programs deliver clear, measurable business results.

About you:

• You are a systems thinker who designs enablement for scale, not one-off training events.
• You are comfortable influencing senior stakeholders and driving alignment without formal authority.
• You have a deep understanding of how post-sales execution drives retention, expansion, and long-term customer value.
• You combine strong instructional design skills with a pragmatic, outcome-oriented mindset.
• You are highly organized, detail-oriented, and able to drive initiatives from concept through execution.
• You’re a builder, a collaborator, and a team player who thrives on making an impact
• You take ownership of your growth and actively seek feedback, improvement, and impact.

Your experience:

• 3-5 years of experience in Customer Success, Professional Services, or post-sales roles within a B2B SaaS environment
• 2-4 years of dedicated Enablement, readiness, or field enablement experience.
• Proven ability to build and maintain scalable enablement programs that drive behavior change and measurable business outcomes.
• Experience supporting Mid-Market and Enterprise post-sales teams.
• Strong familiarity with post-sales tooling such as Salesforce, Gainsight, Gong, or similar platforms.
• Experience working within an LMS or enablement platform, with WorkRamp experience a plus.
• Exposure to CMMS, industrial SaaS, or high-growth B2B environments is a plus.
• Bachelor’s degree in business, marketing, product, education, organizational development, or a related field is a plus.

What success looks like in the first 12 months:

• Clear post-sales execution standards are defined, documented, and reinforced through enablement.
• New post-sales hires ramp faster and more consistently across segments.
• Managers are equipped to coach effectively against defined competencies.
• Enablement programs show measurable impact on time-to-value, retention, and expansion metrics.
• Post-sales teams view enablement as a critical partner in their success.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

The Data Product Manager will drive forward the evolution of Target RWE’s research data products, spanning both existing retrospective datasets and the development of new, differentiated offerings. This role is central to building high-quality research datasets derived from EHR data across Target RWE’s network of clinical sites, as well as linked data sources such as claims.

The Product Manager will lead cross-functional initiatives, including the development of novel research variables and the implementation of AI-enabled data curation at scale. You will partner closely with quantitative sciences, engineering, clinical, and data curation teams to translate clinical and scientific needs into robust, customer-ready data products.

This role requires deep familiarity with healthcare data and EHR documentation patterns, strong clinical research acumen, and the ability to apply clinical insight to ambiguous data challenges. The Data Product Manager reports to the Head of Data Innovation and is a core member of the Product organization.

What You’ll Do

• Own and drive cross-functional workstreams to build, maintain, and evolve Target RWE’s research datasets.
• Maintain product roadmaps for clinical research datasets in hepatology and other disease areas, incorporating input from stakeholders.
• Oversee end-to-end preparation and delivery of research datasets to customers.
• Manage customer-facing documentation, including analytic guides, training materials, and dataset documentation.
• Ensure data product quality by maintaining and prioritizing a backlog of enhancements and leading cross-functional investigations and improvements.
• Assist in the development of new research variables, from conceptual design through implementation, incorporating feedback from clinical and scientific experts.
• Design and conduct exploratory analyses of EHR data to understand how variables of interest are captured in real-world clinical documentation.
• Partner with engineering to pilot AI-based curation approaches, evaluate performance, and drive iterative improvements.
• Develop abstractor guidance and specifications, in collaboration with clinical and data curation teams, to produce gold-standard datasets for AI model training.
• Interface with pharma customers to educate them on Target RWE’s data products, answer questions, and understand real-world usage and needs.

What You’ll Bring

• Deep experience working with healthcare data, including EHR data and other patient-level data sources such as claims.
• 5+ years of experience in healthcare data, real-world evidence, or clinical research.
• Strong ownership mindset with a track record of delivering high-quality, complex work.
• Comfort with clinical concepts and the ability to interpret real-world EHR documentation; enthusiasm for building domain expertise in relevant disease areas.
• Strong data intuition, including understanding data models, designing basic analyses, and interpreting results.
• Comfort operating in ambiguous, evolving problem spaces.
• Ability to shape initiatives from the ground up, provide structure, and clearly scope work for cross-functional teams.
• Proven ability to drive complex initiatives and serve as the “quarterback” in a collaborative, cross-functional environment.
• Excellent written and verbal communication skills, including direct experience working with external customers.
• Familiarity with healthcare data standards and terminologies (e.g., LOINC, RxNorm, SNOMED) preferred.
• Clinical background (e.g., RN, NP) strongly preferred.

If you are ready to be part of a team where your work truly matters - where your expertise isvalued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful together, and we’d love for you to be a part of it.

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave

Hybrid role: Located in Research Triangle Park, North Carolina

About your role

We are looking for a forward-thinking Data Engineering Intern to join our team for Summer 2026. This isn't just a role about moving data from point A to point B; it’s about rethinking how those pipelines are built. You will sit at the intersection of core infrastructure and AI, building robust ETL processes while leveraging AI technologies to automate the very workflows you create.

Your mission is dual-purpose: you will support our Business Intelligence efforts and directly influence our product roadmap by turning raw data into actionable insights through advanced dashboards and automated workflows.

A Day in the Life

• Build & Orchestrate: Design, develop, and maintain ETL pipelines to ingest data into our Snowflake warehouse using Python, SQL, and Airflow.
• AI-Driven Automation: Implement AI-powered solutions to streamline engineering tasks, including:
• Automating code generation and documentation.
• Building AI-driven data quality checks and anomaly detection.
• Developing "self-healing" pipelines that can identify and alert on ingestion errors.
• Insight Generation: Use Jupyter Notebooks and Streamlit to analyze data and build internal tools that help our product team make data-driven decisions.
• Visualization: Create high-impact dashboards in Tableau that translate complex data into a clear narrative for stakeholders.
• Agile Collaboration: Participate in daily Scrum huddles, manage tasks via Jira, and work closely with product owners and QA to promote code to production.
• Cloud Infrastructure: Interact with cloud services via CLI and manage containerized environments using Docker and Kubernetes.

What you’ll need

• Academic Status: Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027, or pursuing a degree in Computer Science, Data Science, or a related quantitative field.
• Programming Mastery: Expertise in Python and SQL
• Infrastructure Mindset: A strong understanding of Data Warehousing (Snowflake) and ETL orchestration (Airflow).
• DevOps Curiosity: Familiarity with CLI, Docker, and Kubernetes for managing cloud-based environments.
• Analytical Toolkit: Experience with Jupyter Notebooks, Tableau, or Streamlit.
• Problem Solver: A proactive approach to using AI/LLMs to automate repetitive tasks and improve system reliability.

The Summer "Win"

By the end of your 10-week internship, you will have designed and deployed a functional ETL pipeline that feeds into a custom Insights Dashboard. Your work won't just sit in a folder, it will be used to influence our official product roadmap.

Interview Process

• Recruiter Phone Screen
• Technical Assessment 
• Hiring Manager Interview
• Team Interview

Position Overview

ATLAS SP is seeking a Risk Technology (VP, Data & Enterprise Services) to join our Data & Enterprise Services team. This is a senior hands-on engineering role focused on delivering high-quality technology solutions supporting Market Risk, Credit/Counterparty Risk, and enterprise risk reporting.

The individual will work closely with the Risk Management organization, Front Office, and global technology teams. The VP shall understand how risk metrics are produced, validated, and consumed, and be able to analyze, and troubleshoot risk reporting issues.

This role requires strong SQL, Python, and data engineering skills, along with familiarity with market and credit risk concepts across bonds, derivatives, structured products, and loan portfolios. This is a senior individual contributor position with high ownership.

Primary Responsibilities

• Serve as the senior technical partner to Market Risk and Credit Risk teams, focusing on data and platform solutions
• Perform hands-on development in SQL and Python to support risk data pipelines, analytics, reconciliations, and reporting workflows.
• Support daily, weekly, and monthly risk reporting cycles, ensuring accuracy, completeness, and timely delivery.
• Validate and troubleshoot risk reporting issues using market data, pricing inputs, and risk factor mappings.
• Collaborate with onshore and offshore teams to enhance data quality, lineage, and reporting controls.
• Drive improvements in automation, data validation, transparency, and modernization of risk processes.

Required Qualifications and Experience

• Minimal 5+ years of hands-on technology experience supporting Market Risk, Credit Risk, or trading/risk data environments.
• Strong SQL skills (Snowflake, SQL Server, or equivalent) for analytics, modeling, and performance optimization.
• Python experience for data processing, analytics, and automation.
• Experience integrating market data, pricing data, and risk factor inputs into analytical or reporting systems.
• Hands-on experience building or supporting ETL pipelines, reconciliations, data validation checks, and reporting workflows.
• Familiarity with risk metrics such as DV01, stress testing, scenario analysis, and credit exposure concepts.
• Excellent communication skills, with ability to partner with Risk Management, Front Office, and other engineer teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.

Preferred Qualifications and Experience

• Experience with risk platforms, pricing engines, or market data systems.
• Familiarity with structured credit or whole loan analytics.
• Experience working with cloud platforms such as Azure or Snowflake.
• Understanding of credit and market risk regulatory frameworks.
• Strong curiosity and willingness to dive deeply into data, calculation methodologies, and risk processes.

Base Salary Range

$150,000 - $210,000

About the Job
At BuildOps, we’re building a groundbreaking software solution designed to empower today’s commercial contractors. From service management to project execution, we’re reimagining how our customers operate. Our team thrives on ambition, innovation, and collaboration—qualities we look for in every new hire.

As a Senior Product Manager, Project Management, you will build an industry-leading Project Management solution for the commercial subcontracting industry that spans field workflows, labor planning and forecasting, collaboration, financials, and AI-powered experiences. You’ll partner closely with our customers to deeply understand their people, organizational structures, processes, and what they need from their operations platform—then translate that into solutions that drive measurable outcomes for both our customers and the business. You’ll work cross-functionally with Engineering, Design, Sales, Customer Success, and leadership, and you’ll be accountable for customer-driven KPIs and clear business impact.

What You’ll Do

• Own the product vision and roadmap for the Project Management domain, driving strategy and execution with a cross-functional squad of engineers, designers, QA, and data partners.
• Engage directly with customers of varying sizes and segments to uncover needs, validate solutions, and ensure we’re solving real project-execution problems.
• Design workflows that help contractors run stronger projects by streamlining field and office collaboration, preventing schedule slippage, forecasting labor demand, and providing accurate, real-time financial visibility.
• Leverage AI and ML to challenge traditional approaches, exploring and shipping innovative experiences that materially improve speed, accuracy, and decision-making for project teams.
• Align the roadmap with company objectives by working closely with other Product Managers, Customer Success, Sales, and Implementation to prioritize opportunities and trade-offs.
• Lead go-to-market and change management for your domain: communicate priorities and feature launches across the company, and partner with Customer Success to drive successful rollouts and adoption.
• Run effective beta programs with early adopters, capturing feedback to refine experiences before broader release.
• Own clear customer and business outcomes, defining and tracking KPIs that improve platform value (e.g., adoption, NPS, efficiency gains) and support revenue and retention goals.

What We Look For

• 7+ years of experience in the technology industry, with 5+ years in Product Management for B2B SaaS;
  
  
• or: 3+ years in a contractor or construction firm followed by 3+ years building B2B software as a Product Manager.
• Experience building end-to-end product experiences, including prototyping and solution development with AI coding assistants.
• Strong familiarity with contractor / construction project workflows (labor planning, schedules, change orders, cost tracking, collaboration) and how they show up in software.
• Mission-driven mindset, motivated by complex, real-world challenges faced by commercial subcontractors.
• Experience working in a technical environment, with basic SQL skills and proficiency in analytics tools to inform decisions.
• Strong understanding of agile development methodologies and a track record of working effectively with engineering and design in an agile environment.
• Excellent communication and collaboration skills, with experience partnering closely with cross-functional teams (e.g., Sales, CS, Implementation, PS).
• Strong analytical skills and the ability to use data—both quantitative and qualitative—to shape product strategy and day-to-day prioritization.

Bonus

• Direct experience in specialty contractor operations (mechanical, electrical, plumbing, HVAC, or similar) or adjacent construction domains.
• Experience working on 2D / BIM solutions or construction project planning tools.

Who You Are

• Someone with a genuine passion for construction tech and the customers we serve.
• A strategic thinker who thrives in a high-growth startup environment.
• Comfortable navigating ambiguity and breaking down complex, messy problem spaces into clear, actionable work.
• A self-starter who takes ownership, follows through, and delivers results without needing heavy direction.
• Collaborative, curious, and eager to learn from customers and teammates across disciplines.
• A team player with integrity, grit, and a strong work ethic, who raises the bar for those around them.

Compensation

• Raleigh: $133,000 - $166,000 base + annual bonus opportunity 
• LA/SF: $139,000 - $174,000 base + annual bonus opportunity 
• Toronto: 120,000 - 150,000 CAD base + annual bonus opportunity

About your role

Rocket Lawyer is seeking a highly motivated Business Intelligence Analyst Intern to join our team. This position is perfect for someone who wants to learn about the legal industry and how data is used to inform business decisions. By joining our team, you will have the opportunity to work on challenging projects that have a real impact on people's lives. You will support the Rocket Lawyer team in driving business insights, reporting, and analytics to help drive growth and optimize business performance. This role will partner closely with Product, Finance, Marketing, & Data Engineering teams to deliver actionable insights and act as a thought leader for data at Rocket Lawyer.

How you will make a difference day to day

• Analyze and optimize user engagement and experience with our services and investment across Search Engine Marketing (SEM), Search Engine Optimization (SEO), email, and offline channels
• Collaborate with business leads to understand KPIs & test hypotheses to drive revenue, customer acquisition, retention, and sales
• Support revenue and cost model assumptions are they relate to customer acquisition costs and lifetime value
• Conduct research and analysis to support business decisions, including reporting and communication of results to leadership
• Maintain and optimize BI tools and dashboard solutions. Contribute to ongoing data governance efforts

What you’ll need

• Experience with business analysis and problem-solving by drawing insights from large data sets
• Superior skills with SQL, Excel, and Python
• Experience with business intelligence applications (Tableau, Looker) and online marketing tools (Amplitude)
• Experience with Snowflake, other databases a plus
• SaaS, digital media, ecommerce, or online marketing based business experience a plus
• Light-hearted attitude and ability to have FUN while working hard
• Keen attention to detail, ability to work autonomously, & bias for action
• Excellent communication and interpersonal skills, with strong business acumen
• Pursuing a Bachelor's or Master’s Degree in Finance, Economics, Engineering or related quantitative field

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Final Interview

Head of Statistics

Overview

NoviSci is a data science organization with a dual mission: 1) developing best-in-class software to support the generation of RWE and 2) executing high-impact, tech-enabled scientific consulting and research.

We are seeking a Head of Statistics who will own the statistical functional area- serving as the center of excellence for statistical rigor, methodology, methods standardization, and professional development across the organization. This is a hands-on leadership role for a methodologist who wants to build: building a team, building methods, and building the statistical backbone of real-world evidence software.

You will work shoulder-to-shoulder with the Head of Science, Product, Engineering, and Statistical Software Development, translating advanced causal inference and epidemiologic methods into robust software requirements, clear APIs, and scalable analytical tools. If you enjoy making hard statistical problems accessible, and care deeply about scientific credibility, this role is for you.

Statistical leadership & strategy

• In collaboration with the Head of Statistical Software Development, define and execute the statistical methods roadmap across products and services
• Serve as the functional center of excellence for statistical rigor, methods standardization, code reproducibility, and adoption of advanced causal inference and epidemiologic methods for real-world data
• Lead the development and implementation of causal inference, advanced epidemiologic, and statistical methods for real-world evidence generation, ensuring scientific rigor, transparency, and reproducibility
• Guide the design of longitudinal and observational study workflows, including uncertainty quantification and sensitivity analyses
• Represent NoviSci’s statistical perspective with external partners, clients, collaborators, and at scientific venues as a subject-matter expert

Product partnership (requirements, architecture, APIs)

• Collaborate with Product, Statistical Software Development, and Engineering to:
• Translate statistical and methodological needs into product requirements and roadmaps
• Advise on high-level system and architecture decisions
• Co-design API specifications (inputs/outputs, parameterization, defaults, error handling, diagnostics) and review PRDs/tech specs for statistical fidelity
• Provide reference implementations and simulation harnesses used as ground truth for verification; help design CI checks and validation datasets
• Establish documentation standards for methods notes, assumptions, and user-facing guidance

High-value scientific delivery

• Serve as a senior statistical contributor on select research pods, providing high-level expertise, validating analyses, and pioneering new methods
• Architect statistical designs for causal estimation of complex interventions under confounding, missingness, and dependent censoring
• Develop and review statistical analysis plans (SAPs), code, figures, and outputs for validity, reproducibility, and regulatory readiness
• Support quality and compliance processes in partnership with the Head of Operations, ensuring analysis validation, audit trails, and reproducibility standards are met

Thought partnership for clients

• Act as a senior statistical advisor to client teams (HEOR, Med Affairs, Epi); help mature their internal evidence pipelines and governance
• Evaluate statistical methodology choices for complex study designs, including distributed and federated analyses
• Guide clients on methods choices for regulatory submissions and HTA assessments

Team building & mentorship

• Serve as functional manager for all statisticians: hire, mentor, train, and conduct performance reviews
• Develop and enforce standards and SOPs for statistical analysis, code reproducibility, and methods adoption across the statistics group
• Foster a rigorous, supportive, and learning-oriented culture within the statistics functional group
• Uplevel engineers and PMs on statistical, advanced epidemiologic methods, including causal inference; uplevel statisticians on software craft (versioning, testing, CI/CD, profiling)

Required background

• PhD (or equivalent) in Biostatistics, Statistics, Epidemiology, or a related quantitative field
• 4+ years of post-doctoral experience spanning causal inference, advanced epidemiologic methods, statistical software development, and real-world data (claims, EHR, registries)
• Demonstrated track record of leading complex observational studies through publication and/or regulatory use
• Deep, hands-on expertise in causal inference and advanced epidemiologic methods for real-world data, including:
• Target trial emulation
• IP weighted estimators for confounding, missingness, and censoring
• Clone-censor-weighted estimation of dynamic treatment regimens
• Marginal structural models (MSMs), IPTW, and IPCW
• Uncertainty quantification and sensitivity analysis
• Proven ability to translate statistical and methodological requirements into product requirements, architecture trade-offs, and API designs in close partnership with engineering
• Strong experience with R, including package development, testing, and performance profiling
• Experience collaborating closely with software engineers in a production or near-production environment
• Evidence of thought leadership (publications, invited talks, open-source contributions, or methods papers)

Nice-to-have background

• Experience designing statistical APIs or platforms used by external customers
• Familiarity with regulatory expectations for RWE (e.g., FDA, EMA guidance on real-world evidence)
• Experience with CMS/Medicaid data governance and multi-source linkage/tokenization
• Prior experience managing or mentoring senior statisticians or data scientists
• Experience working in a fast-paced, product-driven or startup environment
• Comfort with protocol/report generators and figure/table QA pipelines (e.g., Quarto/R Markdown)
• Fluency with AI/ML coding tools (e.g., GitHub Copilot, Cursor) and comfort incorporating them into statistical programming and reproducible research workflows

If you’re excited to advance the science of real-world evidence in an environment where statistical rigor directly shapes both client impact and software innovation, NoviSci is the place for you. We’re building something important together, and we’d love for you to be a part of it.

What We Offer You

• Comprehensive health, dental, and vision coverage for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave
• Hybrid role: Located in Research Triangle Park, North Carolina

FEQ227R255

Mission

The Industry Lead Solutions Architect will serve as the connective tissue between GTM leadership, field teams, partners, and customers to deepen Databricks' Financial Services positioning by sub-industry. In this role, you will develop opinionated points of view (POVs), and be the primary technical owner of domain-specific messaging and tailored assets, that establish credibility with customer technical and business leadership. You will work with Databricks account and GTM teams to position Databricks as a strategic partner in solving customers' most critical business challenges across Financial Services sub-verticals.

This is a high-visibility individual contributor role that will bridge the gap between product capabilities and industry-specific business outcomes, working closely with account teams, partners, and product engineering to drive growth and technical excellence across your assigned vertical. You will split your time across customer-facing engagements, internal collaboration on content strategy and thought leadership, and partner engagement on joint GTM motions. You will report directly to the FS Tech GM leadership within the Financial Services team at Databricks. 

The Impact You Will Have

• Define and execute the Databricks Industry strategy — work with Industry GTM leaders to lead creation and curation of high-quality, sub-industry-specific assets (POVs, demos, reference architectures, customer references, evaluation templates, implementation plans) that showcase Databrick’s value for high-priority use cases across Financial Services sub-verticals (e.g., Capital Markets, Insurance, Banking, Payments, Professional Services, Alternative Investments, FinTech, Data Providers)
• Create standardized frameworks for asset quality and prioritization — define what "good" looks like for industry  assets, and determine prioritization of asset creation including build-vs-partner decisions
• Drive joint GTM strategy with partners — collaborate with Global System Integrators (GSIs), Regional System Integrators (RSIs), and data partners to co-build assets, align partner solutions to Databricks sub-vertical POVs, and identify the right partners for specific use cases and implementations 
• Embed with strategic Financial Services customers — engage directly with customer technical and business leadership, and advise on how Databricks solves their most pressing domain-specific challenges. Aggregate shared pain points across similar customers to refine messaging and asset creation strategy
• Guide customers through the full use case lifecycle — from establishing credibility and setting vision, through winning evaluations with "golden" POC templates and reference architectures, to realizing value with recommended implementation partners, sample SOWs, and value realization templates
• Scale Industry Adoption: You will act as the field enablement lead, training Solutions Architects (SAs) and partners on how to leverage Databricks assets to accelerate customer success globally.

What We Look For

• Technical Expertise: 15+ years in a customer-facing pre-sales or consulting role, with deep experience in big data technologies (Spark, Delta Lake, MLflow) and cloud platforms (AWS, Azure, or GCP)
• Deep domain expertise in Financial Services — strong understanding of sub-industry dynamics across one or more of: Capital Markets, Banking & Payments, Insurance, Asset & Wealth Management, Alternative Investments, FinTech, or Financial Data Providers. Ability to engage credibly with senior business and technology leaders (e.g., Heads of Markets Technology, Chief Data Officers, Heads of Quant Research)
• Proven ability to develop and execute industry-specific GTM strategies — experience building outcome-focused content, POVs, and technical assets that resonate with both business and technical personas
• Cross-Functional Partnerships: Experience working with global system integrators, consulting organizations, financial services technology, or financial services data providers is a positive differentiator
• Leadership & Enablement: Strong communication skills with a track record of mentoring technical teams and enabling partner ecosystems (GSIs and regional boutiques).
• Excellent communication and storytelling skills — ability to craft compelling narratives that connect Databricks platform capabilities to measurable business outcomes for Financial Services customers
• Education: Undergraduate degree or higher in an engineering or mathematics discipline (Computer Science, Applied Mathematics, etc.)

The Team

Celonis makes processes work for people, companies, and the planet. As the Celonis Services organization, we are the strategic implementation consulting & transformation arm of a unified Customer Organization aligned to four core mandates:

1. Make Celonis Business Critical: Transform the platform into the central nervous system of our customers’ operations.
2. Scale Customer Health: Drive full platform adoption to ensure long-term value and stability.
3. Focus on High-Value Activities: Prioritize complex, high-impact technical work that moves the needle for Focus & Strategic customers.
4. Empower Career Growth: Foster an environment where every Celonaut owns customer success while accelerating their own professional trajectory.

We deliver production-ready Celonis Platform implementations that drive measurable top, bottom, and green-line impact. Moving beyond “point-in-time” analysis, we utilize a Discover-and-Build approach to solve the world's most complex operational challenges.

In close partnership with Value Engineering, we perform data-driven discovery to validate business hypotheses against real-world data. We then build and deploy operational, AI-enriched solutions on top of the Celonis Platform that automate decisions and optimize workflows at an enterprise scale.

We don't just implement AI for our customers; we live it. Our project delivery lifecycle is accelerated by state-of-the-art AI augmentation, allowing our consultants to focus on high-level, strategic problem-solving. By serving as the "eyes and ears" in the field, we maintain a continuous innovation loop with our Product & Engineering teams, ensuring our frontline learnings directly shape the future of the Celonis Platform.

The Role

You are an AI Deployment Architect (AIDA). You own the reality of scaling solutions within a customer's actual IT environment and productizing those results. Complementing your colleagues in Applied Value Engineers and Applied AI Engineering, who focus on pre-sales prototyping, you bridge the gap between "the art of the possible" and Business Critical, scaled solutions. As an AIDA, you steer account teams and customers toward AI use cases that are inherently scalable. You are not the primary implementer of these solutions. Instead, you steer the definition of the architectural vision for Consultants to execute and oversee delivery excellence. You remain hands-on for first-of-their-kind production solutions, eventually transitioning to an advisory capacity across a broad "book of work" within your assigned vertical.

The Work You’ll Do

• Advise and Safeguard Technical Implementations: Provide architectural oversight for concurrent deployments at Fortune 500 organizations. You act as the final technical authority, maintaining "project-ready" coding skills to troubleshoot and resolve critical production failures that block value realization.
• Architect AI-Enriched Solutions: Collaborate with pre-sales teams to transform experimental prototypes into robust, scalable enterprise applications. You then translate these successful deployments into standardized platform features by maintaining a tight feedback loop with Product and Engineering.
• Engineer Low-Latency Systems: optimize these AI-enriched solutions for high-throughput and minimal latency. You ensure the Celonis Platform handles near-real-time data integration without compromising the user experience of business-critical applications.
• Implement Eval-Ops & Automated Testing: Build rigorous evaluation pipelines to test LLM quality and reliability at scale. You move beyond manual spot-checks by institutionalizing automated benchmarks for model accuracy and safety.
• Deploy LLMOps & Lifecycle Governance: Design systems for continuous model monitoring, cost optimization, and performance tuning. You establish the frameworks for data privacy and compliance within the customer's actual IT environment.
• Troubleshoot Agentic Orchestration: Manage the complexity of multi-agent workflows where agentic activity is triggered by Celonis context and logged back to the platform. You ensure seamless hand-offs between agents and maintain the integrity of the full process loop.

 The Preferred Qualifications You Need

• Architectural Leadership: Proven experience designing and scaling innovative AI solutions within actual customer IT environments, moving these solutions from pilot to production.
• Advanced Technical Production: Ability to refactor experimental pilots for production-scale performance and a deep proficiency in Python for building enterprise-grade LLM-based solutions.
• Vertical Industry Expertise: In-depth understanding of complex business challenges within a specific industry vertical (e.g., Manufacturing, Life Sciences).
• Senior Stakeholder Management: Excellence in translating highly complex architectural concepts and AI governance frameworks into strategic roadmaps for C-suite stakeholders.
• Lifecycle Mastery: Experience in production-level acceptance testing, low-latency system design, and the management of ongoing LLM performance.
• Academic Excellence: Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related quantitative field.

Shopmonkey is looking for a Senior Product Manager to join our dynamic team, help us build the next generation of our platform, and lead to a dedicated squad of product, design, and engineering individuals. At Shopmonkey, we're not just building software; we're on a mission to help every auto repair shop thrive. We believe that with the right tools, shop owners can run their businesses smarter, faster, and more profitably. We are a fast-paced, collaborative, and customer-obsessed team, and we're looking for a senior product leader who shares our passion for getting under the hood and solving real-world problems. Please note for candidates in the San Francisco Bay area, this is a hybrid role with 2-3 days per week on-site at our Morgan Hill, CA office to collaborate and stay connected.

What You Will Do:

You’ll define and evangelize product needs for our core customers, representing Product in customer engagements and partnering closely with customer-facing teams to deliver maximum value. Your ability to communicate prioritization decisions, technical nuances, and the voice of the customer will impact thousands of auto shops across North America.

This is a unique role that requires an organized, impact-oriented, and customer- and product-focused individual who is comfortable with ambiguity, takes initiative, and builds strong, collaborative relationships across teams and with customers.

• Define Product Strategy: Define and champion the strategic direction, product vision, and roadmap for your squad, aligning with overall company goals and objectives. Stay attuned to industry trends, competitive dynamics, and emerging technologies that influence our space.
• Drive Execution: Lead feature scoping, prioritization, and trade-off discussions — knowing when to say no to achieve the best outcomes. Translate vision into clear product requirements and user stories, managing the backlog to ensure maximum impact and alignment with company goals.
• Lead Cross-Functional Teams: lead, inspire, and collaborate with engineering, design, marketing, and customer-facing teams to ensure successful launches, adoption, and measurable outcomes. Work with leadership to connect strategic plans to actionable, prioritized initiatives with clear metrics and timelines. 
• Collaborate Across Squads: Collaborate closely with other squad leads and stakeholders to coordinate efforts, resolve dependencies, and optimize resource allocation.
• Champion the Customer: Conduct research, analyze data, and synthesize insights to deeply understand the needs of our diverse customers — from small independent shops to multi-location enterprises. Use these customer insights and data analytics to guide decisions.
• Own the Full Lifecycle: Oversee the end-to-end product lifecycle — from ideation and validation through launch, iteration, and optimization. Measure success using product metrics such as adoption, engagement, and customer satisfaction, and use these to guide continuous improvement.

What You Bring:

• 6+ years of successful product management experience leading complex software products with cross-functional teams
• Proven track record of shipping SaaS products from concept to launch in a fast-paced, startup setting
• Excellent leadership and collaboration skills to build trust, bridge gaps between teams, and influence without authority
• Tenacity and ample leadership experience enabling you to lead, influence and organize complex, core feature projects
• Exceptional verbal, written, and presentation communication skills with experience engaging senior leadership and customers
• Data-driven mindset with the ability to balance qualitative insights and quantitative metrics
• Familiarity with modern product and project management tools (e.g., Linear, Productboard, Wrike)
• Hungry, fast-learner mindset with a bias towards action.
• Ability to travel periodically for customer visits, events, and workshops
• Bonus: Experience in the automotive space or in mobile app development

In the United States the range is typically $140,000 to $160,000 with bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

About your role

Have a passion for helping people through technology - especially AI? Come help Rocket Lawyer disrupt the legal industry and live up to our mission to make the law affordable and simple. You'll work at the forefront of agentic AI product development to build and launch cutting-edge products for millions of customers. Sounds exciting? We’d love for you to join us!

How you will make a difference day to day

Create Insight-to-Action Product Experiences

You must have a proven track record of translating complex data and AI-generated outputs into intuitive, actionable product capabilities and experiences. These products don’t just display data; they are surfacing insights and workflows that prompt users to take the next best action, directly increasing product stickiness and daily utility.

Drive Engagement-Centric Roadmap Strategy

Drive the product roadmap by identifying opportunities where AI can proactively solve user pain points. You will prioritize features based on their ability to drive retention-focused metrics (e.g., reducing time-to-value, increasing session frequency) rather than technical novelty.

Develop AI-Powered UX Benchmarking

Continuously monitor the SaaS landscape to identify emerging patterns in AI-driven engagement. You should have a pulse on how top-tier products use personalized insights, automated summaries, and proactive nudges to create habit-forming experiences that differentiate the product from traditional, static competitors.

Data Driven Product Development

Define and analyze the specific behavioral metrics that prove AI-generated insights are driving business impact. You will prioritize the Rocket Copilot roadmap by balancing "mature judgment" with hard data, focusing on features that don't just deliver data, but measurably increase user session frequency and reduce churn. You must be able to draw a straight line between an AI-driven product decision and its direct implication on recurring revenue and LTV.

Product-Led Growth Strategy

Lead the strategy and execution for Rocket Copilot by identifying "magic moments" where AI can proactively surface value to a user. You will use a mix of quantitative data and qualitative customer empathy to ensure our AI portfolio isn't just a collection of features, but a cohesive engine that guides users from their first "Aha!" moment to long-term, habitual usage. You will act as the "Voice of the Customer" to ensure AI outputs are tailored to solve the specific friction points uncovered in your research.

What you’ll need

• 8-10 years of software Product Development experience ideally with B2B or B2C SaaS products.
• At least 4 years focused on how to optimize AI-driven user engagement
• Ability to combine a strong product sense with business acumen to deliver positive outcomes to customers and the business
• Passionate about our mission
• Demonstrated ability to think critically and problem-solve
• Excellent communication skills
• Ownership mentality
• Ability to engage in respectful debate and arrive at “win-win” decisions
• Bias for action
• Excited to celebrate and win
• Self-aware with a growth mindset
• Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or a related field, or relevant job experience.

A bonus if you have

• Experience building or launching products that leverage agentic AI systems
• Experience in legal tech industry

Not sure if you meet all the qualifications? Apply anyway! We value diverse experiences and encourage you to bring your unique talents to our team!

Benefits & Perks

• Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
• Unlimited PTO
• Competitive salary packages
• Life insurance
• Disability benefits
• Supplemental Optional Life Insurance Benefits
• FSA Options Optional
• HSA with Company Match
• 401k program with Company Match
• Wellhub & ClassPass fitness platforms
• Comprehensive Pet Insurance options
• Financial Wellbeing & Student Loan Program access
• Access to additional Mental Health & Wellbeing resources
• Pre-tax Commuter/Transit Benefits
• Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates 

Interview Process

• Recruiter Phone Screen
• Role Assessment(s)
• Hiring Manager Interview
• Panel Interviews
• Final Interview

About your role

The Senior Vice President of Product is the strategic and operational leader responsible for defining our product vision, accelerating market adoption, and delivering exceptional business performance. This role will help drive the transition of our trusted legacy platform to our next-generation AI experiences, ensuring a modern, intuitive UX for our entire ecosystem - from the SMBs and families Rocket Lawyer serves to the legal professionals who support them.

The ideal candidate possesses deep experience in PLG, and subscription-based / marketplace business models across both consumer and SMB markets. The candidate must have a proven ability to leverage customer insights to create compelling experiences that accelerate user acquisition, upsell, and long-term retention. This leader will be instrumental in bringing clarity, cohesion, and disciplined execution to a fast-moving, cross-functional organization.

How you will make a difference day to day

1. Strategic Vision & Execution

• Define, articulate, and relentlessly champion an ambitious, long-term product strategy.
• Leverage the Product Operating Model to deliver a product roadmap focused on innovative, AI-led experiences that drive value across the entire product lifecycle while simultaneously optimizing the current platform.
• Lead the harmonization of legacy platform features and new AI-driven products into a single, intuitive, customer experience.
• Build partner facing solutions that support new member acquisition.
• Cultivate an innovative product culture that skillfully balances speed, agility, and disciplined prioritization.

2. Growth & Business Performance

• Own the Product-Led Growth (PLG) experiences designed to engage, upsell, and retain all customer segments.
• Own product-driven revenue drivers, including activation, engagement, conversion and retention.
• Partner closely with Growth, Operations, and Finance on pricing, packaging, and go-to-market strategies to maximize new member growth, retention, and Customer Lifetime Value (LTV).
• Instill a culture of operational rigor for roadmap planning and delivery (focusing on speed, consistency, quality, and customer-informed decisions). Own scoping and resource planning.
• Oversee product migrations, transitions, and adoption strategies to minimize friction and maximize customer value realization.

3. Leadership & Customer Focus

• Build, mentor, and scale a high-performing Product organization, including Product Managers, Design, and Product Operations.
• Create strong alignment across Product, Engineering, Data, Growth, and Operations to ensure coordinated, high-velocity execution.
• Serve as a senior executive voice across the company, influencing strategy and effectively representing the product direction to internal and external stakeholders.
• Direct qualitative and quantitative UX research and customer surveys to ground all product experience decisions in a deep understanding of customer needs, barriers, and motivations.

What you’ll need

• 15+ years of progressive product management experience, including 8+ years in executive leadership roles, with at least 5 years leading product teams through large-scale transformation.
• Demonstrated success in driving strategy, adoption, and performance within high-growth, subscription-based businesses (Consumer and SMB).
• Proven track record of delivering measurable, material growth in customer acquisition, expansion, and retention.
• Extensive experience managing product portfolios that include both established, legacy systems and new platform innovations.
• Strong understanding of AI-enabled products, data-driven decision-making, and modern product development practices.
• Exceptional leadership, communication, and stakeholder-management abilities at the executive level.
• Deep business acumen with the ability to connect customer needs, product capabilities, and financial outcomes.

A plus if you have

• Experience in legal tech, fintech, SaaS, or other highly regulated or trust-driven industries.
• Experience building marketplace product experiences.
• Extensive background operating in a Product-Led Growth (PLG) environment.

What Success Looks Like

• Achieving a unified and cohesive product experience that accelerates customer value and simplifies migration from legacy to AI-powered experiences.
• Material growth in subscription acquisition, expansion, retention, and overall Customer Lifetime Value (LTV).
• A measurable lift in adoption and revenue contribution from new AI products and capabilities.
• High organizational alignment and execution velocity across Product, Engineering, GTM, and Operations.
• A thriving, empowered, and high-performance Product organization.

Not sure if you meet all the qualifications? Apply anyway! We value diverse experiences and encourage you to bring your unique talents to our team!

Benefits & Perks

• Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
• Unlimited PTO
• Competitive salary packages
• Life insurance
• Disability benefits
• Supplemental Optional Life Insurance Benefits
• FSA Options Optional
• HSA with Company Match
• 401k program with Company Match
• Wellhub & ClassPass fitness platforms
• Comprehensive Pet Insurance options
• Financial Wellbeing & Student Loan Program access
• Access to additional Mental Health & Wellbeing resources
• Pre-tax Commuter/Transit Benefits
• Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates 

Interview Process

• Recruiter Phone Screen
• Role Assessment(s)
• Hiring Manager Interview
• Panel Interviews
• Final Interview

About your role

Rocket Lawyer is seeking an experienced, passionate AI/ML software engineer for Rocket Copilot, our new AI assistant launched in December 2023. In this role, you will help our team deeply embed AI features across our platform. You will work in an agile, cross-functional team, working with multiple product teams as we build out AI features across Rocket Lawyer. You will design, implement, test, release and maintain new AI features, working closely with product managers, UX designers, data engineers, QA engineers, and others.

We value a fun, collaborative, team-oriented work environment, where we celebrate our accomplishments. 

How you will make a difference day to day

• Build, train, fine-tune, deploy and maintain ML models for AI features
• Create, monitor and troubleshoot backend API services to allow Rocket Lawyer product frontends to interact with ML models
• Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing and new Rocket Lawyer products
• Keep up-to-date with industry trends around generative AI and machine learning
• Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code

What you’ll need

• 5+ years of Experience writing ML code for launched products
• Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF and others
• Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models
• Experience with machine learning frameworks like TensorFlow, PyTorch and Scikit-Learn
• Strong programming skills in Python and SQL
• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience

Benefits & Perks

• Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
• Unlimited PTO
• Competitive salary packages
• Life insurance
• Disability benefits
• Supplemental Optional Life Insurance Benefits
• FSA Options Optional
• HSA with Company Match
• 401k program with Company Match
• Fertility Assistance and Planning options
• Wellhub & ClassPass fitness platforms
• Comprehensive Pet Insurance options
• Financial Wellbeing & Student Loan Program access
• Access to additional Mental Health & Wellbeing resources
• Pre-tax Commuter/Transit Benefits
• Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates 

Interview Process:

• Recruiter Phone Screen
• Role Assessment(s)
• Hiring Manager Interview
• Panel Interviews
• Final Interview

NoviSci, a division of Target RWE, is a data science organization with a dual mission:

1.  Developing best-in-class software to support the generation of RWE and
2.  Executing high-impact, tech-enabled scientific consulting and research.

Overview

We are currently seeking a Senior Epidemiologist to join a team of epidemiologists, statisticians, data engineers, and software developers. Together, you will lead the design and implementation of research studies using complex, real-world data. In this role, you will apply leading-edge methodology in epidemiology and statistics to solve important problems in health care.  

What You’ll Do

• Independently design and conduct research studies using advanced epidemiologic and statistical methods, such as causal inference and machine learning
• Lead a cross-functional technical team to ensure scientific integrity and methodological rigor across all phases of the study lifecycle including initial design, protocol development, implementation of statistical analysis, and dissemination of results
• Serve as a key scientific point of contact, engaging directly with clients and external collaborators. Comfort and proficiency in client-facing roles are essential skills 
• Disseminate study findings via study reports, presentations to internal and external stakeholders, peer-reviewed publications, and abstracts and presentations at professional conferences
• Provide technical support to the business development team to develop competitive scientific proposals 

What You’ll Bring

• Advanced degree (PhD or equivalent) in epidemiology, biostatistics, or a related quantitative discipline
• 4+ years of post-doctoral experience, preferably in a biotech or scientific consulting environment
• Experience with observational research methods for causal inference (e.g., inverse probability weighting, negative control outcomes/exposures, target trial emulation, quantitative bias analyses) coupled with a genuine intellectual curiosity to dig deep and explore novel approaches to answer hard questions
• Demonstrated experience leading research projects teams from conception to publication 
• Experience with administrative claims or electronic health record data, including familiarity with using diagnosis, procedure, and medication coding algorithms to operationalize eligibility criteria, exposure status, and clinical outcomes in real-world data.
• Strong aptitude for precise and impactful scientific writing evidenced by a record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation. 
• Strong organizational and planning skills including an ability to independently troubleshoot problems and think analytically in a fast-paced environment
• Willingness to take initiative while maintaining open lines of communication with colleagues and senior leadership. 
• Excellent time management skills and ability to multi-task and prioritize work

Nice-to-Have Background

• Expertise in statistical programming using R
• Experience mentoring junior research staff

If you’re excited to help support meaningful healthcare research, where your expertise directly contributes to rigor, trust, and improved patient outcomes, NoviSci is the place for you. We’re building something important, and we’d love for you to be a part of it.

What We Offer You

• Comprehensive health, dental, and vision coverage for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave
• Hybrid role: Located in Research Triangle Park, North Carolina

At Target RWE, our mission is driven by a deep commitment to people, whether it’s the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science.

Overview

In this role, you will be a foundational member of Target RWE’s Quantitative Sciences (QS) organization, helping to establish Target as a leader in rigorous, reproducible, and regulatory-grade evidence generation. You will serve as a scientific owner of Target’s data, developing deep expertise in its structure, quality, and applications while helping to build scalable data validation, curation, and analytic processes that ensure reliability and usability.

Working closely with cross-functional partners in Product, Engineering, Clinical Operations, and Medical Science, you will design and execute analyses that demonstrate the value of Target’s data, support customers across life sciences, regulatory, and academic settings, and build scalable, standardized analytic approaches for real-world evidence generation.

What You’ll Do

1. Data Ownership and Quality 

• You will establish Target’s data as a trusted, validated scientific asset.
• Ensure Target’s data are accurate, complete, and fit for regulatory and scientific use by building systems and practices that establish trust in data integrity and readiness for analysis.
• Develop deep expertise in Target’s data, understanding its structure, provenance, strengths, and limitations.
• Design and implement validation frameworks, data quality checks, and “fitness-for-use” assessments.
• Create and maintain data dictionaries and documentation that promote transparency and reproducibility.

2. Analytical excellence 

• You will apply advanced analytic methods and scientific rigor to generate reliable, reproducible, and regulatory-grade real-world evidence from Target’s data assets.
  • Support the design and execution of retrospective and prospective studies using Target’s data assets.
  • Develop statistical analysis plans and analytic code for descriptive, comparative, and predictive analyses.
  • Design and implement scalable, reusable analytic frameworks and modular code structures that support consistent execution across therapeutic areas and data products.
  • Apply best practices in methodology, version control, code review, and documentation to ensure reproducibility.
  • Translate complex results into clear visualizations and insights for scientific, regulatory, and client audiences.
  • Contribute to publications, abstracts, and collaborations that advance Target’s scientific reputation and influence.

3. Cross functional partnership

• You will work cross-functionally to connect data, science, and strategy, ensuring Target’s evidence generation aligns with customer needs and business goals.
• Partner closely with Commercial, Medical Science, Product, Data Insights, Engineering, and Clinical Operations teams to align on data strategy and analytic priorities.
• Serve as the internal “voice of the customer,” anticipating how clients, regulators, and researchers will use Target’s data.
• Participate in client and partner meetings to demonstrate the validity and value of Target’s data products.
• Leverage your deep knowledge of Target’s data assets to guide internal teams and external partners, anticipating analytical and operational challenges and helping to shape data use strategies.
• Translate analytic findings and data characteristics into clear, client-facing materials that demonstrate Target’s data quality, representativeness, and scientific utility.

What You’ll Bring

• Advanced degree (MS or PhD) in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field. 
• 5-10+ years of experience working with real-world data (e.g., EMR, claims, registry, or clinical trial data).
• Strong programming expertise in R, and experience with reproducible analytic frameworks.
• Proven expertise in data quality assessment, validation, and curation workflows.
• Demonstrated ability to build and maintain reproducible coding practices and scalable analytic processes that enable efficiency, transparency, and consistency across studies.
• Strong communication, presentation and collaboration skills with cross-functional technical and scientific teams.
• Demonstrated ability to translate data insights into actionable scientific or business recommendations.

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave