CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.

As CLEAR continues to scale, we’re deepening our investment in the data ecosystem that powers our decision-making. We’re looking for a Senior Analytics Engineer, Business Intelligence to own the presentation layer of our data stack. This is a hands-on, senior individual contributor role for someone who blends exquisite data modeling craft, deep familiarity with tools like dbt and Looker, a knowledge of the state of the art, and a passion for designing data structures that enable intuitive self-service. 

You’ll define the semantic and analytical layers that drive clarity across the business, transforming complex data into clear, trusted metrics and models that everyone at CLEAR can rely on.

What You'll Do:

• Own and evolve the presentation and semantic layers: design, build, and optimize data models that serve as the foundation for Analytics at CLEAR. Develop metrics that drive a consistent, opinionated view of business performance across Finance, Product, Marketing, and Operations teams.
• Partner with data engineering teams to define the transformation logic (via dbt or similar frameworks) that connects raw data to consumable business views, optimize pipelines to improve query performance, and ensure models align with best practices.
• Own a roadmap for enabling AI-powered analytics driving improved data documentation and a path for exposing our semantic layer to AI models. 
• Improve self-service rates by building intuitive data structures, reusable views, and clear metric definitions that empower teams to answer their own questions.
• Mentor analysts and analytics engineers, guiding them in data modeling best practices, BI design, and stakeholder engagement.

What you’re great at:

• 6+ years of experience working in analytics engineering, BI engineering, or data engineering roles within a modern cloud data warehouse environment.
• Expert-level SQL: you can structure models for clarity, reuse, and performance at scale. 
• Proven experience working with modern data stack technologies, including Snowflake, dbt, Dagster, and Looker.
• Deep experience with BI tools including semantic layer design, metric standardization, and the enablement of AI-driven analytics.
• Strong understanding of dimensional modeling and data warehousing principles. You are always thinking about performance and scalability.
• Demonstrated ability to balance technical rigor with business impact designing models that are as intuitive for stakeholders as they are efficient under the hood.
• Track record of driving BI and self-service, creating environments where data users can confidently explore and analyze on their own.
• Strong communication and influence skills, able to partner effectively across technical and business domains to align on data strategy and definitions.
• Proactive ownership and curiosity, always seeking opportunities to simplify, standardize, and scale how data is modeled and delivered.

Why You’ll Love This Role:

• High-impact: You’ll build the analytics foundations that will guide decision-making across CLEAR.
• Craft and influence: This role blends technical ownership with the opportunity to shape how data is understood company-wide.
• Mission-driven culture: You’ll help build experiences that make life simpler and more secure for millions.
• Autonomy: You’ll own and lead initiatives end-to-end, mentor others, and establish best practices that scale with the company.
• Culture that moves: We are a team that values curiosity, iteration, direct feedback, and risk taking.
• Great benefits & growth: Competitive compensation, liquid equity, catered lunches, and good vibes.

How You'll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. 

The total compensation range for this role is $225,000-$300,000, depending on levels of skills and experience.

This range represents the combined base salary, annual bonus incentive, and new hire equity package (in Restricted Stock Units) for this position at CLEAR. Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program. Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance. All stock based compensation will be subject to the terms and conditions of applicable agreements.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

#LI-Onsite

About the role

Roku is building the future of advertising measurement and data collaboration—and we need a product leader who can help us get there. In this role, you'll sit at the intersection of Roku's proprietary data assets, privacy-enhancing technologies, and the broader advertising ecosystem. Your mission: enable advertisers to prove that their campaigns deliver real business outcomes through trusted measurement and secure data collaboration.
You'll partner with the industry's leading measurement vendors (Nielsen, Videoamp, iSpot, HAUS, Kochava, and more) and work with cutting-edge cleanroom technologies (Snowflake, LiveRamp, AWS Clean Rooms) to deliver a closed-loop system where advertisers can plan, measure, and optimize with confidence. This is a unique opportunity for a mid-career product manager to shape how Roku works with the advertising ecosystem, craft products that drive measurable and provable advertiser outcomes, and establish yourself as a trusted partner across agencies, brands, and measurement providers.
If you're energized by complex technical challenges, passionate about advertising's evolution toward privacy-safe data collaboration, and ready to help Roku "Get Credit for Our Ads" through trusted, identity-driven measurement—this role is for you.

For New York Only - The estimated annual salary for this position is between $125,375 - $261,600 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing

• Drive Data Collaboration Strategy & Execution
• Own the product roadmap for Roku Data Cloud (RDC), our framework designed to facilitate seamless collaboration within the media ecosystem using Roku's proprietary data
• Partner with cleanroom technology providers (Snowflake, LiveRamp Clean Room, AWS Clean Room, Habu, InfoSum) to design and launch privacy-safe data collaboration capabilities
• Define and prioritize advertiser and agency use cases including audience planning, campaign measurement, closed-loop attribution, and incrementality testing
• Translate technical data structures and query logic into intuitive product experiences that empower marketers to activate Roku data securely
• Navigate the advertising identity ecosystem, working with onboarder identity solutions and direct PII matching approaches to enable precise audience targeting and measurement
• Expand 3rd Party Measurement Ecosystem
• Build and maintain strategic partnerships with the measurement vendor ecosystem including audience measurement (Nielsen, Videoamp, iSpot), attribution providers (Northbeam), mobile measurement partners (Kochava, Appsflyer), and incrementality testing platforms (HAUS, Measured)
• Own the product strategy for integrating measurement capabilities into Roku's ad platform, including server-to-server integrations, pixel-based tracking, and ad serving standards (VAST/VMAP)
• Work cross-functionally with engineering, data science, sales, and partnerships to prioritize measurement integrations that drive advertiser outcomes
• Evangelize Roku's measurement capabilities to agencies, brands, and industry bodies—becoming the trusted voice for how Roku proves advertising effectiveness
• Deliver a Closed-Loop Measurement System
• Design products that enable advertisers to measure campaign performance across planning, delivery, and optimization phases
• Champion privacy-enhancing technologies (PETs) that allow secure multi-party computation without exposing raw data
• Collaborate with data engineering and analytics teams to ensure measurement methodologies are rigorous, defensible, and aligned with industry standards
• Support sales and client success teams with technical expertise, helping them articulate Roku's measurement value proposition
• Drive Product Excellence
• Define product requirements, user stories, and acceptance criteria for complex technical features
• Work closely with engineering teams to balance technical feasibility with business impact
• Analyze feature performance using data, customer feedback, and market trends to inform iterative improvements
• Communicate product strategy, roadmap, and progress to executive leadership and cross-functional stakeholders

We’re excited if you have

• 4+ years of product management experience, with at least 2 years in advertising technology, measurement, or data platforms
• Data Collaboration Expertise: Strong working knowledge of cleanroom solutions (Snowflake Clean Room, LiveRamp Clean Room, AWS Clean Room) and privacy-enhancing technologies; hands-on experience with data structures, query logic, and SQL
• Measurement Ecosystem Knowledge: Deep understanding of measurement methodologies (audience measurement, attribution, incrementality testing, marketing mix modeling) and the vendor landscape
• Technical Fluency: Familiarity with measurement integration methods (server-to-server, pixel-based) and ad serving standards (VAST, VMAP)
• Advertising DNA: Understanding of advertiser and agency use cases for data collaboration including audience planning, campaign measurement, and closed-loop attribution
• Identity Ecosystem: Knowledge of how identity works in advertising, including onboarder solutions, PII matching, and privacy-safe approaches to audience addressability
• Proven ability to work cross-functionally with engineering, data science, sales, partnerships, and executive stakeholders
• Strong written and verbal communication skills—you can explain complex technical concepts to both technical and non-technical audiences
• Strategic thinker with strong execution skills: you can see the big picture and get into the details to drive execution

Nice to have

• Experience working with advertisers, agencies, or measurement vendors directly
• Background in data science, analytics, or data engineering
• Familiarity with privacy regulations (GDPR, CCPA) and their implications for advertising measurement
• Experience with marketing mix modeling (MMM), geo-testing, or other advanced measurement techniques
• Knowledge of programmatic advertising, DSPs, and ad server technologies
• Track record of launching products that integrate third-party APIs or platforms

About the role

Roku is building the future of advertising measurement and data collaboration—and we need a product leader who can help us get there. In this role, you'll sit at the intersection of Roku's proprietary data assets, privacy-enhancing technologies, and the broader advertising ecosystem. Your mission: enable advertisers to prove that their campaigns deliver real business outcomes through trusted measurement and secure data collaboration.
You'll partner with the industry's leading measurement vendors (Nielsen, Videoamp, iSpot, HAUS, Kochava, and more) and work with cutting-edge cleanroom technologies (Snowflake, LiveRamp, AWS Clean Rooms) to deliver a closed-loop system where advertisers can plan, measure, and optimize with confidence. This is a unique opportunity for a mid-career product manager to shape how Roku works with the advertising ecosystem, craft products that drive measurable and provable advertiser outcomes, and establish yourself as a trusted partner across agencies, brands, and measurement providers.
If you're energized by complex technical challenges, passionate about advertising's evolution toward privacy-safe data collaboration, and ready to help Roku "Get Credit for Our Ads" through trusted, identity-driven measurement—this role is for you.

For California Only - The estimated annual salary for this position is between $125,375 - $261,600 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing

• Drive Data Collaboration Strategy & Execution
• Own the product roadmap for Roku Data Cloud (RDC), our framework designed to facilitate seamless collaboration within the media ecosystem using Roku's proprietary data
• Partner with cleanroom technology providers (Snowflake, LiveRamp Clean Room, AWS Clean Room, Habu, InfoSum) to design and launch privacy-safe data collaboration capabilities
• Define and prioritize advertiser and agency use cases including audience planning, campaign measurement, closed-loop attribution, and incrementality testing
• Translate technical data structures and query logic into intuitive product experiences that empower marketers to activate Roku data securely
• Navigate the advertising identity ecosystem, working with onboarder identity solutions and direct PII matching approaches to enable precise audience targeting and measurement
• Expand 3rd Party Measurement Ecosystem
• Build and maintain strategic partnerships with the measurement vendor ecosystem including audience measurement (Nielsen, Videoamp, iSpot), attribution providers (Northbeam), mobile measurement partners (Kochava, Appsflyer), and incrementality testing platforms (HAUS, Measured)
• Own the product strategy for integrating measurement capabilities into Roku's ad platform, including server-to-server integrations, pixel-based tracking, and ad serving standards (VAST/VMAP)
• Work cross-functionally with engineering, data science, sales, and partnerships to prioritize measurement integrations that drive advertiser outcomes
• Evangelize Roku's measurement capabilities to agencies, brands, and industry bodies—becoming the trusted voice for how Roku proves advertising effectiveness
• Deliver a Closed-Loop Measurement System
• Design products that enable advertisers to measure campaign performance across planning, delivery, and optimization phases
• Champion privacy-enhancing technologies (PETs) that allow secure multi-party computation without exposing raw data
• Collaborate with data engineering and analytics teams to ensure measurement methodologies are rigorous, defensible, and aligned with industry standards
• Support sales and client success teams with technical expertise, helping them articulate Roku's measurement value proposition
• Drive Product Excellence
• Define product requirements, user stories, and acceptance criteria for complex technical features
• Work closely with engineering teams to balance technical feasibility with business impact
• Analyze feature performance using data, customer feedback, and market trends to inform iterative improvements
• Communicate product strategy, roadmap, and progress to executive leadership and cross-functional stakeholders

We’re excited if you have

• 4+ years of product management experience, with at least 2 years in advertising technology, measurement, or data platforms
• Data Collaboration Expertise: Strong working knowledge of cleanroom solutions (Snowflake Clean Room, LiveRamp Clean Room, AWS Clean Room) and privacy-enhancing technologies; hands-on experience with data structures, query logic, and SQL
• Measurement Ecosystem Knowledge: Deep understanding of measurement methodologies (audience measurement, attribution, incrementality testing, marketing mix modeling) and the vendor landscape
• Technical Fluency: Familiarity with measurement integration methods (server-to-server, pixel-based) and ad serving standards (VAST, VMAP)
• Advertising DNA: Understanding of advertiser and agency use cases for data collaboration including audience planning, campaign measurement, and closed-loop attribution
• Identity Ecosystem: Knowledge of how identity works in advertising, including onboarder solutions, PII matching, and privacy-safe approaches to audience addressability
• Proven ability to work cross-functionally with engineering, data science, sales, partnerships, and executive stakeholders
• Strong written and verbal communication skills—you can explain complex technical concepts to both technical and non-technical audiences
• Strategic thinker with strong execution skills: you can see the big picture and get into the details to drive execution

Nice to have

• Experience working with advertisers, agencies, or measurement vendors directly
• Background in data science, analytics, or data engineering
• Familiarity with privacy regulations (GDPR, CCPA) and their implications for advertising measurement
• Experience with marketing mix modeling (MMM), geo-testing, or other advanced measurement techniques
• Knowledge of programmatic advertising, DSPs, and ad server technologies
• Track record of launching products that integrate third-party APIs or platforms

About the role

Roku is building the future of advertising measurement and data collaboration—and we need a product leader who can help us get there. In this role, you'll sit at the intersection of Roku's proprietary data assets, privacy-enhancing technologies, and the broader advertising ecosystem. Your mission: enable advertisers to prove that their campaigns deliver real business outcomes through trusted measurement and secure data collaboration.
You'll partner with the industry's leading measurement vendors (Nielsen, Videoamp, iSpot, HAUS, Kochava, and more) and work with cutting-edge cleanroom technologies (Snowflake, LiveRamp, AWS Clean Rooms) to deliver a closed-loop system where advertisers can plan, measure, and optimize with confidence. This is a unique opportunity for a mid-career product manager to shape how Roku works with the advertising ecosystem, craft products that drive measurable and provable advertiser outcomes, and establish yourself as a trusted partner across agencies, brands, and measurement providers.
If you're energized by complex technical challenges, passionate about advertising's evolution toward privacy-safe data collaboration, and ready to help Roku "Get Credit for Our Ads" through trusted, identity-driven measurement—this role is for you.

For California Only - The estimated annual salary for this position is between $125,375 - $261,600 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing

• Drive Data Collaboration Strategy & Execution
• Own the product roadmap for Roku Data Cloud (RDC), our framework designed to facilitate seamless collaboration within the media ecosystem using Roku's proprietary data
• Partner with cleanroom technology providers (Snowflake, LiveRamp Clean Room, AWS Clean Room, Habu, InfoSum) to design and launch privacy-safe data collaboration capabilities
• Define and prioritize advertiser and agency use cases including audience planning, campaign measurement, closed-loop attribution, and incrementality testing
• Translate technical data structures and query logic into intuitive product experiences that empower marketers to activate Roku data securely
• Navigate the advertising identity ecosystem, working with onboarder identity solutions and direct PII matching approaches to enable precise audience targeting and measurement
• Expand 3rd Party Measurement Ecosystem
• Build and maintain strategic partnerships with the measurement vendor ecosystem including audience measurement (Nielsen, Videoamp, iSpot), attribution providers (Northbeam), mobile measurement partners (Kochava, Appsflyer), and incrementality testing platforms (HAUS, Measured)
• Own the product strategy for integrating measurement capabilities into Roku's ad platform, including server-to-server integrations, pixel-based tracking, and ad serving standards (VAST/VMAP)
• Work cross-functionally with engineering, data science, sales, and partnerships to prioritize measurement integrations that drive advertiser outcomes
• Evangelize Roku's measurement capabilities to agencies, brands, and industry bodies—becoming the trusted voice for how Roku proves advertising effectiveness
• Deliver a Closed-Loop Measurement System
• Design products that enable advertisers to measure campaign performance across planning, delivery, and optimization phases
• Champion privacy-enhancing technologies (PETs) that allow secure multi-party computation without exposing raw data
• Collaborate with data engineering and analytics teams to ensure measurement methodologies are rigorous, defensible, and aligned with industry standards
• Support sales and client success teams with technical expertise, helping them articulate Roku's measurement value proposition
• Drive Product Excellence
• Define product requirements, user stories, and acceptance criteria for complex technical features
• Work closely with engineering teams to balance technical feasibility with business impact
• Analyze feature performance using data, customer feedback, and market trends to inform iterative improvements
• Communicate product strategy, roadmap, and progress to executive leadership and cross-functional stakeholders

We’re excited if you have

• 4+ years of product management experience, with at least 2 years in advertising technology, measurement, or data platforms
• Data Collaboration Expertise: Strong working knowledge of cleanroom solutions (Snowflake Clean Room, LiveRamp Clean Room, AWS Clean Room) and privacy-enhancing technologies; hands-on experience with data structures, query logic, and SQL
• Measurement Ecosystem Knowledge: Deep understanding of measurement methodologies (audience measurement, attribution, incrementality testing, marketing mix modeling) and the vendor landscape
• Technical Fluency: Familiarity with measurement integration methods (server-to-server, pixel-based) and ad serving standards (VAST, VMAP)
• Advertising DNA: Understanding of advertiser and agency use cases for data collaboration including audience planning, campaign measurement, and closed-loop attribution
• Identity Ecosystem: Knowledge of how identity works in advertising, including onboarder solutions, PII matching, and privacy-safe approaches to audience addressability
• Proven ability to work cross-functionally with engineering, data science, sales, partnerships, and executive stakeholders
• Strong written and verbal communication skills—you can explain complex technical concepts to both technical and non-technical audiences
• Strategic thinker with strong execution skills: you can see the big picture and get into the details to drive execution

Nice to have

• Experience working with advertisers, agencies, or measurement vendors directly
• Background in data science, analytics, or data engineering
• Familiarity with privacy regulations (GDPR, CCPA) and their implications for advertising measurement
• Experience with marketing mix modeling (MMM), geo-testing, or other advanced measurement techniques
• Knowledge of programmatic advertising, DSPs, and ad server technologies
• Track record of launching products that integrate third-party APIs or platforms

About Sovrn

Every interesting company solves important problems for other people.  Sovrn is a Software and Data business that helps Open Web businesses be and remain independent.  We help them understand their business better, operate more efficiently, and make & keep more money.

• We believe in the freedom and free-flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better, so they can make better decisions
• Operate their business more efficiently, so they can invest in what matters most
• Make (and Keep) more money, so they control their own destiny

About the Role

We’re looking for a Principal Software Engineer (Data) with deep roots in adtech data infrastructure and a genuine conviction about what AI-native data engineering looks like in practice. This is a specialized principal-level engineering role — one that carries all the architectural ownership and technical leadership expectations of a Principal Software Engineer, focused on Sovrn’s Data Collective.

From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.

Languages/components/tools in our stack: Python, Pyspark, Kafka, Databricks, AWS

What you'll be doing:

Data Platform & Architecture

• Own the design and evolution of data platform systems that operate at exchange scale; high throughput, real-time streaming, and always-on batch pipelines
• Lead architectural decisions across data infrastructure: pipeline design, data modeling, lakehouse architecture, and data services layers
• Specify data platform components and configurations required for pipeline implementation; define pipeline observability to understand and improve performance at massive scale
• Research, implement, and evolve methods to process and democratize data across the organization
• Drive technical standards, design reviews, and engineering best practices across a senior team
• Partner with product, data science, and platform teams to ship end-to-end

AI & Agentic Engineering Leadership

• Establish and champion AI engineering practices across the team, from prompt engineering and RAG patterns to agentic workflow design, LLM evaluation, and progressive implementation of agentic design patterns
• Identify high-leverage opportunities to apply AI in our data stack: intelligent pipeline optimization, anomaly detection, automated data quality, forecasting, and LLM-powered data services
• Lead the evolution of our existing LLM and agentic tooling from passive use to intentional, well-architected integration within our data platform
• Set standards for how we evaluate, trust, and operate AI-powered systems in production, including observability, fallback behavior, and model governance
• Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it

Collaboration & Mentorship

• Provide domain expertise across the organization to enable business growth through data services and data models
• Provide counsel to all consumers and stakeholders of data to enable efficient and impactful use of our data assets
• Mentor and level up engineers through code review, design collaboration, and hands-on guidance; foster a culture of innovation and continuous learning
• Operate with high autonomy across ambiguous, high-impact problems

A successful candidate will have:

• 10+ years of software engineering experience, with a strong data engineering and backend track record
• 5+ years working specifically in adtech data infrastructure, SSP, DSP, exchange, or ad server environments
• Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
• Excellent understanding of real-time streaming and batch pipelines, big data, and data lakes; hands-on experience in distributed data processing in the AWS ecosystem
• Strong understanding of second-layer big data platforms such as Snowflake and Databricks, applicable use cases, best practices, implementation, and support considerations
• Strong experience in structured, unstructured, and semi-structured data techniques; metadata management, data lineage, and data governance
• Experience with data security and compliance (PII, CCPA, GDPR, etc.)
• Demonstrated experience leading AI or agentic engineering efforts in production environments; not just experimentation, but shipped, operated, and iterated on
• Hands-on experience with LLM integration patterns: RAG, vector DBs, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
• Ability to clearly document and communicate architectural concepts at multiple levels; ability to lead problem definition, solution designs, and implementation work plans
• Understanding of DevOps and SRE practices
• Comfort driving technical decisions in ambiguous, fast-moving environments
• A point of view on where AI is and isn’t the right too, and the credibility to make that case

Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Remote, #LI-Hybrid

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.

Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking

Compensation and Benefits

The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.

Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.

Recruitment Agencies

Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

About the role

The next generation of behavioral health will be built on agentic AI — systems that don't just predict or summarize, but act: scheduling, coordinating care, drafting clinical documentation, surfacing risk, and orchestrating the hundreds of micro-decisions that today consume clinician and operator time.

Charlie Health's ambition is to build the most advanced agentic systems in healthcare. We are investing in a multi-agent architecture grounded in a real-time clinical signal graph, governed by HIPAA-native infrastructure, and deployed against measurable patient outcomes in a national virtual IOP.

We are hiring a Senior Principal AI Engineer to lead the design, development, and deployment of these systems across our platform. This is a hands-on technical leadership role with deep cross-functional reach into Engineering, Product, Data, Clinical, and executive leadership.

Responsibilities

• Serve as the technical owner of agentic AI at Charlie Health, from architecture and model strategy through production deployment and ongoing reliability.
• Lead the development of clinical operations agents that handle scheduling, intake, insurance verification, referral triage, and care coordination, replacing brittle human handoffs with auditable, supervised AI workflows.
• Lead the development of clinician copilots for real-time documentation, risk surfacing, and treatment-plan support, integrated with our EHR and clinical data platform.
• Define and build the agentic substrate: eval frameworks, observability, guardrails, tool registries, prompt and policy versioning, PHI-safe logging, and simulation environments.
• Own the model strategy across frontier models, fine-tunes, distilled specialists, and classic ML, and articulate it clearly to executive and clinical leadership.
• Partner with Product, Clinical, and Data teams to identify high-leverage opportunities for AI across patient and operational experiences.
• Establish best practices around AI reliability, safety, evaluation, and explainability in a regulated clinical environment.
• Mentor engineers and data scientists across the organization and help foster a strong culture of technical excellence and responsible AI innovation.

What you'll work with

• An executive team that has committed to an AI-native operating model and is funding it.
• An AI Guild of senior engineers, data scientists, and clinical operators piloting AI across the company today.
• A modern data foundation including Snowflake, dbt, pgvector, and an emerging Intelligence Layer that exposes patient and operational signals as first-class events.
• Live workstreams in clinical documentation, referral-source conversion modeling, scheduling intelligence, and clinician productivity.
• A national virtual IOP serving patients across 41 states, with the regulated data and outcome signal needed to train, evaluate, and improve real systems.

Why this role is hard

Behavioral health is one of the most demanding applied-AI environments. Patients are often in acute distress. The regulatory surface spans HIPAA, state-by-state telehealth and licensure law, and rising FDA scrutiny of clinical decision support. AI systems in this environment must be observable, reversible, and defensible to clinicians, to regulators, and to internal review.

We are looking for an engineer who finds those constraints clarifying rather than limiting.

Requirements

• 10+ years of software engineering experience, with several recent years focused on LLM- or ML-powered systems in production.
• Hands-on experience designing and operating agentic systems, including tool use, planning, multi-agent orchestration, eval design, and failure-mode analysis.
• Track record of owning a complex technical initiative end-to-end, including evaluation infrastructure, observability, on-call, and regulatory or compliance review.
• Strong communication skills and comfort operating across registers, from executive strategy conversations to engineering code review.
• Genuine interest in healthcare and in applying AI responsibly in a regulated, high-stakes domain.
• BS, MS, or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
• Able to work a hybrid schedule of 4 days/week in our NYC office and located within 75 minutes' commuting distance of the office

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $350,000 and $600,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.  #LI-HYBRID

About the role

The next generation of behavioral health will be built on agentic AI — systems that don't just predict or summarize, but act: scheduling, coordinating care, drafting clinical documentation, surfacing risk, and orchestrating the hundreds of micro-decisions that today consume clinician and operator time.

Charlie Health's ambition is to build the most advanced agentic systems in healthcare. We are investing in a multi-agent architecture grounded in a real-time clinical signal graph, governed by HIPAA-native infrastructure, and deployed against measurable patient outcomes in a national virtual IOP.

We are hiring a Senior Principal AI Engineer to lead the design, development, and deployment of these systems across our platform. This is a hands-on technical leadership role with deep cross-functional reach into Engineering, Product, Data, Clinical, and executive leadership.

Responsibilities

• Serve as the technical owner of agentic AI at Charlie Health, from architecture and model strategy through production deployment and ongoing reliability.
• Lead the development of clinical operations agents that handle scheduling, intake, insurance verification, referral triage, and care coordination, replacing brittle human handoffs with auditable, supervised AI workflows.
• Lead the development of clinician copilots for real-time documentation, risk surfacing, and treatment-plan support, integrated with our EHR and clinical data platform.
• Define and build the agentic substrate: eval frameworks, observability, guardrails, tool registries, prompt and policy versioning, PHI-safe logging, and simulation environments.
• Own the model strategy across frontier models, fine-tunes, distilled specialists, and classic ML, and articulate it clearly to executive and clinical leadership.
• Partner with Product, Clinical, and Data teams to identify high-leverage opportunities for AI across patient and operational experiences.
• Establish best practices around AI reliability, safety, evaluation, and explainability in a regulated clinical environment.
• Mentor engineers and data scientists across the organization and help foster a strong culture of technical excellence and responsible AI innovation.

What you'll work with

• An executive team that has committed to an AI-native operating model and is funding it.
• An AI Guild of senior engineers, data scientists, and clinical operators piloting AI across the company today.
• A modern data foundation including Snowflake, dbt, pgvector, and an emerging Intelligence Layer that exposes patient and operational signals as first-class events.
• Live workstreams in clinical documentation, referral-source conversion modeling, scheduling intelligence, and clinician productivity.
• A national virtual IOP serving patients across 41 states, with the regulated data and outcome signal needed to train, evaluate, and improve real systems.

Why this role is hard

Behavioral health is one of the most demanding applied-AI environments. Patients are often in acute distress. The regulatory surface spans HIPAA, state-by-state telehealth and licensure law, and rising FDA scrutiny of clinical decision support. AI systems in this environment must be observable, reversible, and defensible to clinicians, to regulators, and to internal review.

We are looking for an engineer who finds those constraints clarifying rather than limiting.

Requirements

• 10+ years of software engineering experience, with several recent years focused on LLM- or ML-powered systems in production.
• Hands-on experience designing and operating agentic systems, including tool use, planning, multi-agent orchestration, eval design, and failure-mode analysis.
• Track record of owning a complex technical initiative end-to-end, including evaluation infrastructure, observability, on-call, and regulatory or compliance review.
• Strong communication skills and comfort operating across registers, from executive strategy conversations to engineering code review.
• Genuine interest in healthcare and in applying AI responsibly in a regulated, high-stakes domain.
• BS, MS, or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
• Able to work a hybrid schedule of 4 days/week in our NYC office and located within 75 minutes' commuting distance of the office

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $350,000 and $600,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.  #LI-HYBRID

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

Compensation

The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

Compensation

The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

Compensation

The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex,  including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
• Drive continuous improvement in engineering processes, technical architecture, and product quality.
• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of software engineering experience with strong technical depth
• 3+ years of experience managing or leading engineers in a high-growth environment.
• Strong technical background and understanding of software development principles.
• Expertise leading full-stack engineering teams delivering end-to-end product experiences.
• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.
• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

Compensation

The expected salary range for this role is $240,000 CAD - $300,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Noom is on a mission to help people live better, longer. We’re a consumer-led digital health company, connecting people to content, coaching, community, and clinicians, to build lasting habits and live healthier lives. We’re a high-growth organization powered by science, technology, and world-class talent. When you join Noom, on any team, you’ll see the impact of your work on the world.

Our B2B Team

Noom’s B2B team partners with employers, health plans, and organizations to deliver scalable, data-driven health solutions that improve outcomes and drive measurable value. By combining behavioral science with robust analytics, this team ensures our partners have the insights and tools needed to support their populations and make confident, informed decisions.

About the Role

As we continue to grow, we’re seeking a Business Analyst, Commercial to deliver high-quality analytics, reporting, and insights that power client success and commercial decision-making. In this highly cross-functional role, you’ll partner with Client Success, Sales, Product, Data/Analytics Engineering, and Operations to ensure our enterprise clients have accurate, actionable data. Your work will span dashboard development, ad-hoc analysis, and data quality improvements—enabling stakeholders to self-serve insights without compromising accuracy or compliance.

You Will

• Own client-facing reporting and analytics delivery for QBRs, renewals, and expansion efforts, including engagement, outcomes, utilization, and program performance insights
• Deliver high-impact ad-hoc analyses for Sales, Client Success, and leadership, translating ambiguous questions into clear metrics, queries, and actionable outputs
• Build, maintain, and enhance Looker dashboards and explores, improving usability through standardized definitions, intuitive design, and clear documentation
• Ensure data accuracy and consistency by proactively validating dashboards, managing changes in upstream data, and performing regression checks
• Investigate and resolve data discrepancies in partnership with Data/Analytics Engineering, identifying root causes and clearly communicating outcomes to stakeholders
• Support operational analytics across billing, eligibility, and partner reporting requirements, while driving scalability through standardization, automation, and documentation

About You

If you’re interested in shaping the future of health by delivering trusted, scalable analytics that empower enterprise partners, this role may be for you!

You Have

• Bachelor’s degree in Business, Economics, Statistics, Mathematics, Computer Science, or a related field (or equivalent practical experience)
• 3+ years of experience in business or data analytics, ideally in healthcare, benefits, or B2B SaaS environments
• Strong proficiency in SQL, including joins, aggregations, window functions, and debugging complex datasets
• Hands-on experience with Looker or similar BI tools, building dashboards and stakeholder-facing reports
• Proven ability to translate complex, ambiguous questions into clear analyses and actionable insights
• Excellent communication skills, with the ability to explain methodologies and findings to both technical and non-technical audiences
• Experience with healthcare data (e.g., eligibility, enrollment, outcomes, or claims concepts) is a plus
• Familiarity with modern data stacks (e.g., dbt, Snowflake, Databricks, BigQuery) and data quality practices
• Experience supporting Client Success or Sales workflows (e.g., QBRs, renewals, expansion analytics) preferred
• Comfort working in a fast-paced, ticketed environment (e.g., Jira) with shifting priorities

What Makes This Job Amazing

• You’ll help millions of people live healthier lives while supporting enterprise partners at scale
• You’ll work on high-impact analytics that directly influence renewals, expansion, and client trust
• You’ll partner with a strong cross-functional group spanning Client Success, Sales, Product, and Data
• You’ll grow quickly in a transparent, high-performance environment with meaningful ownership

What You'll Earn and Enjoy

• Pay that reflects your impact. Compensation benchmarked to the market and shaped by your impact and value.
• Investment in your future. A 401(k) with company match to help you build long-term financial security.
• Time to truly recharge. Paid holidays, generous time off, Summer Fridays, and a company-wide Summer Break week so the whole team can unplug together.
• Care that covers it all. Access to top-tier medical plans for you and your family, including a premium-free plan option, alongside dental, vision, and life insurance.
• Support for growing families. Paid parental leave to give you the time and flexibility to focus on what matters most.
• And more to help you thrive. Stock awards, a performance-based bonus, and exclusive access to Noom’s products, so you can grow with us, win with us, and enjoy what we build.

The base salary range for this position is $101,000 - $129,000. Actual compensation is determined by job-related factors, including experience, skills, qualifications, and location. 

This role is eligible for our NYC or Princeton office locations, operating on a hybrid schedule (2 days per week on-site).

More About Noom

Noom is a leading whole-person health platform on a mission to help people live better, longer. We combine personalized medication with the science of behavior change and psychology, to help people build lasting habits and live longer, healthier lives. With nationally-recognized, holistic programs spanning weight, diabetes prevention, GLP-1 support, menopause, longevity, and more, we serve millions through health plans, employers, and direct-to-consumer offerings. As a trailblazer in the world of health and wellness, Noom makes healthy living easy, fun, and deeply rewarding.

We’re more than a health tech company—we’re a movement. This belief extends to our culture: we empower our people to think big, act boldly, and take pride in their contributions to shaping the future of health. With a strong remote culture, as well as offices in NYC and Princeton, we’ve been named one of the Best Places to Work by Inc., Fortune, Glassdoor, and Quartz—including honors for technology and diversity.

Join us in shaping the future of health. You’ll be part of a passionate, mission-driven team working to make the world a healthier place—one habit at a time.

Noom is proud to be an Equal Opportunity Employer, and all applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, caste, national origin, physical or mental disability, protected veteran status, age, or any other characteristic protected by applicable law. Noom is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities.

To help protect against potential hiring scams, please be aware that all email communications from the Noom Talent team and/or hiring managers will come only from an @noom.com email address. Please ignore any messaging or communication from other domains (e.g. @noom.team). Noom will never ask you for personal payment, require you to purchase equipment, conduct an interview process or messaging exchange via Microsoft Teams, or extend a job offer without the completion of a multi-step interview process featuring a combination of phone, Zoom, and in-person interviews, as well as references. If you are unsure about the validity of a Noom job posting on another website, we strongly encourage you to apply directly through our website.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.

What you’ll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You’ll go beyond building dashboards—you’ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team’s work.

This role sits at the intersection of analytics, analytics engineering, and business strategy. You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.
• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.
• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.
• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.
• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.
• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.
• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.
• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.
• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.
• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).
• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).
• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).
• Strong stakeholder management skills—proven ability to present complex technical findings to non-technical audiences.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).
• Experience with dbt for data modeling and transformation.
• Experience building and maintaining data pipelines using orchestration tools such as Airflow.
• Experience working with APIs for data ingestion and integration.
• Familiarity with version control systems (Git).
• Experience in fintech, financial services, or payments.
• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

About the Role

Flex is seeking a Revenue Operations Manager to build, own, and scale the operational backbone for our New Verticals  division — Flex's expansion beyond rent into non-rent split-pay verticals. Reporting to the Head of Revenue Operations, you'll be the first dedicated RevOps hire to support New Verticalsr, responsible for standing up the systems, processes, and data infrastructure that will power this division through its next phase of growth.

New Verticals is exiting its experimental phase with clear product-market signal and aggressive growth targets. You'll work closely with Business Development,Sales and cross-functional leadership to architect the GTM engine from the ground up — Salesforce configuration, pipeline management, routing, reporting, and the full revenue tech stack. This is a build role: you'll define the playbook, not inherit one.

This is an ideal role for someone who thrives in ambiguity, has stood up RevOps infrastructure before, and wants to shape the operational foundation of a high-growth division.

What You'll Do

Systems Architecture & Ownership

• Build and own the Salesforce environment for New Verticals — objects, fields, page layouts, record types, validation rules, flows, and automations tailored to non-rent split-pay sales motions.
• Design and implement revenue tech stack integrations (CRM, enrichment, routing, marketing) to support NV's distinct sales process and team structure.
• Establish system architecture standards, documentation, and governance that can scale as the division grows from a small team to a full GTM org.
• Serve as the primary systems expert for New Verticals — owning troubleshooting, enhancements, and feature requests end-to-end.

Process Design & GTM Enablement

• Architect the  sales process from lead-to-close — stage definitions, pipeline management, forecasting methodology, and deal hygiene standards.
• Design and deploy routing rules, territory logic, and assignment workflows specific to go-to-market motions (biller channel, D2C, consumer cross-sell).
• Partner with Revenue Operations leadership to align on New Verticals  processes with company-wide RevOps standards while accommodating the division's unique needs.
• Build scalable onboarding workflows and enablement materials for new  hires as the team scales rapidly.

Data, Reporting & Analytics

• Define and maintain core operating metrics — TPV, pipeline velocity, conversion rates, and division-specific KPIs.
• Build dashboards and reports that give Revenue team leadership real-time visibility into pipeline health, forecast accuracy, and team performance.
• Ensure data quality and integrity through validation rules, audits, deduplication, and governance practices.
• Partner with Data and BI teams to ensure data flows cleanly into Snowflake and downstream analytics.

Cross-Functional Leadership

• Act as the operational bridge between the team’s Business Development,Sales, Partner Success, and the broader RevOps team.
• Translate business requirements into system design — converting ambiguous asks into reliable, repeatable processes.
• Represent the  operational needs in company-wide RevOps planning, tool evaluations, and architecture decisions.
• As the division scales, help scope and build the New Verticals  RevOps function — contributing to hiring plans, role definitions, and team structure.

Who You Are

Qualifications

• 5+ years of experience in Revenue Operations, Sales Operations, or GTM Operations, with at least 2 years in a senior or lead capacity.
• Deep Salesforce expertise — you've configured and built environments, not just maintained them. Salesforce Administrator Certification preferred.
• Demonstrated experience standing up RevOps infrastructure for a new or rapidly scaling business unit, division, or company.
• Familiarity with GTM systems such as Outreach, LeanData, Clay and  HubSpot Marketing..
• Experience with AI-assisted operational tooling (e.g., Claude, Claude Code) is a plus.

Skills & Attributes

• Builder mentality — you're energized by creating from zero, not just optimizing what exists.
• Strong architectural thinking — you design systems and processes that scale, not just ones that work today.
• Comfort with ambiguity — you can define scope, make tradeoffs, and move forward when the playbook doesn't exist yet.
• Exceptional cross-functional communication — you translate between technical and business stakeholders fluently.
• High ownership and accountability — you treat the division's operational success as your own.
• Detail-oriented execution paired with strategic perspective — you can wire up a validation rule and advise on GTM process design in the same afternoon.

Compensation

Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks.

• Tier 1 (NYC/SF/Seattle): $136,000—$170,000 USD
• Tier 2: $122,400—$153,000USD
• Tier 3 (SLC): $115,600—$144,500 USD

About GlossGenius

GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more. 

Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.

About the Role

We're looking for an exceptional operator to serve as the Senior Manager, Growth Operations — the engine behind the engine. Our self-serve growth motion has helped GlossGenius scale to 100,000 active subscribers. This role exists to build the systems, processes, and intelligence infrastructure that keep it running faster every month.

You will know the self-serve funnel more deeply than anyone at GlossGenius. You will own the weekly business reviews, run our experimentation operating system, partner with finance on forecasting, partner closely with the GTM Analytics team, and proactively surface the risks and opportunities that keep our growth trajectory on track.

This is not a channel execution role — we have exceptional people running paid social, paid search, and lifecycle. This is the role that makes all of those functions more cohesive, more measurable, and maximally impactful. 

You will report to the VP of Growth Marketing. You must be commutable to our NYC headquarters. We default to being in-office 3–4 days per week with required attendance on Tuesdays and Thursdays.

What You’ll Do

• Build and own a real-time intelligence view of GlossGenius's self-serve funnel — every stage, every conversion point, every leverage opportunity — and proactively flag deviations before they show up as misses in the monthly numbers
• Run the weekly business reviews — own the agenda, the data, and the narrative. Translate numbers into decisions, not just updates
• Own the end-to-end experimentation process for the self-serve funnel: what's being tested, by whom, with what hypothesis, and what was learned. Maintain the experiment registry, change log, and learning archive
• Track and report on experimentation velocity and win rate; build systems that make GlossGenius a learning organization, not just a testing one.
• Design and maintain the dashboards and tooling that give channel owners (e.g. paid social, paid search, lifecycle) consistent, granular visibility into their performance — and hold the standard on measurement quality.
• Partner with Strategic Finance to co-own the self-serve financial model assumptions, run scenario analysis, and ensure GTM performance data and financial planning are working from the same reality.
• Continuously monitor competitors and study best practices in PLG, self-serve SaaS, and vertical SaaS growth — surface multiple high-impact intelligence insights per month with a clear recommendation.
• Identify and pursue the highest-leverage operational and analytical opportunities across the self-serve business it evolves

What We’re Looking For

• 7+ years of experience in growth operations, strategy and operations, marketing analytics, or a related function at a fast-growing software or internet business — we care more about the instincts than the exact path.
• Demonstrated track record of building operating systems for growth or marketing teams — dashboards, experiment tracking, business review cadences, forecasting processes — not just executing within them.
• Experience running recurring business reviews with senior leadership where you owned the narrative and drove decisions, not just reported status.
• Direct experience working with finance on forecasting or model assumptions — as a contributor, not a consumer.
• Strong analytical and problem-solving skills — comfortable in SQL or equivalent, fluent in attribution, experimentation design, and business modeling.
• Expert knowledge of AI tools and technologies, with hands-on experience using AI operationally to build faster, analyze faster, and generate insights at a speed that wasn't previously possible — this is a hard requirement, not a nice-to-have.
• Exceptional communication skills — you translate complex data into clear decisions for non-technical audiences and can run a room with senior leadership.
• Systems-first thinking: your instinct when facing a recurring problem is to build a process, not solve it one more time manually.
• Experience in PLG, self-serve SaaS, or vertical SaaS is a plus — understanding funnel economics intuitively accelerates your impact here.

Nice to have:

• Prior people management experience — though first-time managers are welcome if you have led cross-functional projects with real accountability.
• Background in consulting or strategy and operations with a transition into growth or marketing.
• Familiarity with GlossGenius's tech stack: Snowflake, Hex, Iterable, Segment, Eppo.

Benefits & Perks

• Flexible PTO
• Competitive health & dental insurance options, with premiums partially covered by GG
• Fertility and adoption benefits via Carrot and Kindbody
• Generous, fully-paid parental leave policy
• 401k benefit - employees are eligible to contribute starting day 1 of employment
• Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
• Pre-tax commuter benefits
• Dependent Care FSA
• Home office support
• Team Bonding opportunities - as a distributed team, being able to build meaningful bonds both virtually and in person is incredibly important to us! We are constantly evaluating how we accomplish this and currently, teams are given opportunities to gather in person throughout the year

The salary for this role is between $180,000-$230,000 + equity + benefits. The compensation package offered is dependent upon many factors including skills, experience, location, and education. The range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in GlossGenius's equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering.

About the Role

We're looking for a highly organized and proactive Administrative Assistant to be the operational backbone of our New York office while providing critical support to our EMEA teams in London and Paris. This role sits at the intersection of office operations, event execution, and employee experience — making it ideal for someone who thrives in a fast-paced, global environment and takes pride in keeping things running smoothly.

Core Responsibilities

NYC Office Management

• Serve as the primary point of contact for all day-to-day office operations in New York
• Manage vendor relationships, facilities, supplies, and office services to ensure a well-functioning workspace
• Coordinate with building management on maintenance, security, and space needs
• Own office orientation for new NYC hires
• Proactively identify and resolve operational issues before they become disruptions

EMEA Office Management Support

• Provide remote coordination support for offices in London and Paris, serving as a reliable point of contact for cross-regional operational needs
• Support EMEA office with vendor relations, supply procurement, and facilities coordination
• Coordinate the EMEA Quarterly Business Review (QBR), including logistics, venue or virtual setup, vendor management, and communications
• Help drive consistency in office operations and processes across EMEA locations
• Act as a culture connector — ensuring EMEA employees feel engaged and supported from afar

Events — NYC (Customer & Candidate)

• Plan and execute customer-facing events in New York, from intimate dinners to larger hosted gatherings, ensuring a polished and on-brand experience
• Coordinate candidate experience events, including recruiting receptions, office tours, and hiring-related programming
• Partner with Sales, Marketing, Recruiting, and People teams to align events with business goals

People, Culture & Employee Experience (NYC + EMEA)

• Champion employee experience initiatives across New York, London, and Paris
• Coordinate team events, celebrations, recognition moments, and culture programming across regions
• Support onboarding experiences that help new hires feel welcomed and connected from day one
• Partner with the People team on engagement surveys, office perks, and regional culture initiatives

About The Role

This is a high-leverage, high-agency role focused on scaling partner-sourced revenue through deep technical alignment with Snowflake, Databricks, GCP, and the broader MarTech & AdTech ecosystem.

You’ll operate more like a GTM strategist and operator than a traditional SE, working across dozens of deals at once through partner influence — not direct sales cycles. You’ll help partners and their customers design the right solutions, accelerate time-to-value, and drive joint adoption, all while maintaining strong technical credibility.

We get excited talking to data engineers, product managers, marketers, and business leaders — and know how to distill technical concepts for different audiences. Your work will make it easier for partners to succeed and, ultimately, grow Hightouch’s partner-sourced revenue.

What You’ll Do

• Drive outbound technical engagement with partner field teams to educate, evangelize, and accelerate joint opportunities
• Act as the technical counterpart for partner AEs and solution architects in enterprise opportunities, supporting discovery, architecture, and solution design
• Build and deliver scalable enablement materials, hands-on labs, demos, and GTM resources for partner teams
• Collaborate with Product, Sales, and Engineering to shape partner strategy and influence product roadmap based on partner and market feedback
• Design and present high-impact, industry- and customer-tailored demos, workshops, and executive briefings
• Serve as a trusted technical advisor to partners building product integrations or joint solutions with Hightouch
• Translate complex customer data challenges into actionable guidance for both technical and executive stakeholders
• Continuously improve knowledge via partner certifications, new tools, and trends in composable CDP, MarTech, AdTech, and data activation
• Travel up to 25% for partner events, enablement sessions, and strategic GTM engagements

What We’re Looking For

• 4+ years in Solutions Engineering, Product, or GTM roles at data infrastructure, MarTech, AdTech, or SaaS companies
• Experience supporting enterprise partners, ideally influencing deals or adoption through technical expertise
• Strong grasp of the modern data stack and composable architectures — familiarity with tools like Fivetran, dbt, Hightouch, Braze, Iterable, or Salesforce Data Cloud is a plus
• Hands-on technical fluency with SQL and cloud data warehouses (Snowflake, Databricks, BigQuery)
• Ability to communicate complex technical concepts to both executive and practitioner audiences
• Proven track record of driving adoption or revenue through partner, field, or cross-functional GTM motions
• Intellectual curiosity, high ambition, strong ownership, and a bias toward action
• Experience working across multiple teams (Product, Engineering, Sales, Support) to solve complex problems
• Comfortable engaging both technical and non-technical stakeholders

Bonus If You Have

• SaaS or cloud architecture experience
• Experience working with channel or ecosystem partners
• Development experience with APIs
• Consulting or startup experience
• Experience bridging Product, Engineering, Support, and Sales teams internally and externally

Compensation

On-Target Earnings Range: $160,000-$230,000 annually
Base Salary Range: $90,000- $161,000 annually
We also offer meaningful equity compensation in the form of ISO options and offer early exercise and a 10-year post-termination exercise window

About Hightouch

Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.

Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.

Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

About the Role

We are looking for a Staff AI Productivity Engineer to accelerate how our engineering organization works with AI coding tools. This is a hands-on technical role focused on building infrastructure, tooling, and documentation that makes AI agents dramatically more effective across our codebase.

AI tools are evolving rapidly, and we believe the companies that invest in making agents truly productive - not just available - will have a significant advantage. You'll own this problem end-to-end: from setting up cloud development environments where agents can run autonomously, to building MCP integrations that give agents access to our internal systems, to creating the documentation and context that helps agents understand how we build software.

You’ll have the hands-on acumen to do a lot of the heavy lifting yourself and the leadership skills to drive cross-team efforts to raise the bar everywhere. This role is a companion role to our Developer Productivity role but has a distinct focus: while Dev Productivity owns the build/test/deploy pipeline, you'll own the AI-assisted development experience. An exceptional candidate could wear both hats.

Some of the problems we’ll be working on include:

• Own the agentic development environment: Ensure agents can operate in independent cloud-based development environments, execute our full test suites, examine build results visually, etc
• Build our tooling integrations: Build MCP server integrations that connect our agents to the systems needed to build and debug software, such as CircleCI, Slack, Datadog, Github, etc
• Documentation and context: Own our repo-wide agents.md file and work with teams to ensure our library of agent guidance and skills is continually pushing the bar. Ensure our conventions and package structures are exposed in ways that agents can effectively use
• Enablement: Work with our engineers to understand where agents are struggling and address root causes such as better docs, tooling access, etc. Develop tooling for non-engineers to make simple visual updates to our application
• Serve as a “PM” for internal AI agents: Consistently keep us on the leading edge of AI productivity trends by staying abreast of what is state-of-the-art in industry and driving those improvements across Hightouch

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About You

You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.

Must have

• Strong software engineering fundamentals—you can dive into complex backend code and understand it quickly
• Deep hands-on experience with AI coding agents (Claude Code, Cursor, Copilot, Devin, or similar)
• Experience writing effective agent documentation, custom instructions, or context files that meaningfully improved agent output
• Track record of building developer tools or infrastructure that other engineers actually use
• Comfortable working across the stack: you'll touch CI/CD, cloud infrastructure, internal tooling, and application code

Nice to have

• Experience building or contributing to MCP servers or similar agent-tooling integrations
• Background in developer productivity, platform engineering, or developer experience roles
• Experience with our stack: TypeScript/JavaScript monorepos, Go, GraphQL
• You've set up sandboxed or containerized development environments at scale

Interview Process

Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

• Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute!
• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit
• System Design Screen [45m]: Designing a data processing feature end-to-end
• AI Skills Interview [60m]: We’ll dive into how you leverage AI and how you’ve helped others do the same
• Hiring Manager Interview [45m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles
• System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical

About the Role

We’re looking for a talented, curious, and motivated engineering manager to lead our engineering team that manages our 300+ destination integrations. This role would involve a mix of leadership and hands-on engineering.

Destination integrations are at the heart of Hightouch’s products. Every single Hightouch customer, from early adopters of our Agentic Marking Platform to customers running tens of thousands of syncs a day at scale, rely on these integrations to send their data to destinations like CRMs, advertising platforms, analytics engines, and more.

We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. You would lead the team by example, raise the bar for technical execution, and continuously ensure the team is focusing on the highest-value deliverables.

We ship quickly - it’s not uncommon for someone to implement a new integration while simultaneously shipping a few improvements in a week. Engineers also regularly work directly with customers and integration partners to solution new use cases as they come up.

Here’s an example of some problems you’d be working on:

• Managing our 300+ integrations: We get tens of requests for new destinations and even more requests to add functionality to our existing integrations. You’ll be responsible for prioritizing these requests to balance enabling immediate deals with longer-term business strategy and engineering improvements.
• Sync speed: Customers want to sync large volumes of data to a diverse set of destinations (HTTP APIs, file transfers, data warehouses), each with its own limitations. We need to ensure that we’re maximizing our performance via a combination of parallelism, batching, rate-limit detection, and algorithmic optimizations.
• AI developer productivity and enablement: How can rapid advances in AI help us ship faster and with higher quality?

The salary range for this position is $200,000 - 320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About You

We’re looking for a leader who is motivated by delivering customer value, quickly, while mentoring and guiding the team to continuously raise the bar. This is a leadership role, but we care about evidence of impact and potential for growth more than years of experience.

You are a great fit if you:

• Value excellence in what you do, and bring out excellence in those around you.
• Are passionate about mentoring newer engineers
• Are looking for a blend of hands-on development with people leadership
• Reason from first principles about problems, and are constantly curious to find ground truth.
• Form clear opinions about ambiguous problems while communicating with clarity.
• [Bonus] Have experience building and scaling a platform with hundreds of API integrations.

Interview Process

In our interview process, we’re looking to assess mutual fit - we want you to ask us questions too! We want to draw upon your vast prior experience to give us detailed and specific insights into how you operate and lead. Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
• Hiring Manager Conversation [30m]: Meet with the hiring manager to discuss the role, your previous experiences, and leadership style.
• Leadership and Management [60m]: A deep dive into leadership practices, past companies, and past leadership roles.
• System Design Interview [90m]: Work with an engineer to architect a system at a conceptual level. You’ll start from customer requirements and work all the way down to specific technical implementation.
• Past Project Interview [60m]: Reflect on a past project with an engineering leader, going deep into both technical and project management details.
• Prioritization and Execution [60m]: Discuss how you think about impact, make priority tradeoffs, and measure technical excellence with the hiring manager.

The Problem

Every large advertiser runs the same loop: strategist reviews performance data, decides what to test next, briefs a designer, waits for assets, hands them to a media buyer who builds campaigns across Meta and Google and TikTok, launches, monitors, repeats. The process is slow because creative production, campaign management, and performance analysis happen in three separate systems, and insights travel between them through decks, Slack threads, and weekly syncs.

Companies like Nike, Uber, and PepsiCo spend millions per month on digital ads and employ entire teams just to keep this loop turning. Most teams run 10 to 15 creative tests per month because every test requires manual work across multiple tools and teams. The result: most ad spend runs against stale creative, performance degrades from fatigue, and the gap between "what's working" and "what gets made next" is measured in weeks.

Why Agents Change This

Advertising is uniquely high-leverage for AI agents because nearly every step in the workflow is now automatable, and the steps compound:

• Research. Agents can continuously monitor competitor ad libraries, auto-classify creative by format, hook, and message, and surface positioning gaps. What used to require a strategist spending hours in Meta Ad Library happens in the background, always current.
• Creative production. Generative models can now produce ad-quality images and video. The constraint has shifted from "can AI make this" to "can AI make this on-brand and on-spec for each platform." That is a solvable engineering problem, not a research problem.
• Campaign structure. Building properly structured campaigns (naming conventions, audience splits, placement targeting, budget allocation) across five ad platforms is tedious, rules-based work. Agents can do it faster and more consistently than humans.
• Optimization. Detecting creative fatigue, reallocating budget toward winners, and knowing when to rotate in fresh variants is pattern recognition across structured data. Agents excel at exactly this.
• The compounding effect. When one agent handles the full chain (research, production, activation, analysis, iteration) as a single workflow, the cycle time collapses from weeks to hours. A team that runs 15 tests per month can run 50+, not because any individual step got faster, but because the coordination cost between steps drops to nearly zero.

Today: A performance marketing team testing new concepts on Meta and TikTok spends 2 to 3 weeks per cycle.

With agents: The marketing lead describes the objective. An agent analyzes recent performance, identifies the highest-value concepts to test, generates on-brand variants across formats, builds campaigns, launches after human approval, monitors results, detects fatigue, and queues replacements. Same team, 5x to 7x the testing volume, because the human bottleneck becomes strategy and judgment, not execution.

Why Hightouch, Why Now

Hightouch built the Agentic Marketing Platform: one system where AI agents own entire marketing workflows across lifecycle (email, SMS, push through Braze, Iterable, Salesforce, Adobe), advertising (creative production and activation across paid channels), and product experiences (real-time web and mobile experimentation). All three surfaces share the same agent infrastructure, brand and customer context, and warehouse-native data foundation. An insight the ads agent learns about creative performance can inform what the lifecycle agent sends. That shared context across every marketing surface is the product.

Ads is already live, and demand is surging. Enterprise customers are generating ad creative today with agents that analyze performance across Meta, Google, TikTok, LinkedIn, and Snapchat, produce briefs grounded in competitive research and brand guidelines, and generate ready-to-ship ad concepts. Early adoption has been strong: customers who start using it quickly expand usage across campaigns and teams, and inbound interest from enterprise prospects is accelerating. The foundation works. The opportunity is building it into a platform that captures the full advertising workflow.

What Hightouch has that no competitor can replicate:

• Agent orchestration. 25+ specialized agent skills for audience building, content generation, campaign analysis, and multi-step workflow coordination, all composable into end-to-end workflows.
• Content assembly with brand trust. Agents search existing asset libraries for reusable on-brand content before generating anything new. This is what makes output trustworthy enough for enterprises to ship without heavy review cycles.
• Marketing and brand context. A persistent layer connecting customer data, brand guidelines, creative assets, competitive intelligence, and performance history so agents operate with full business context, not generic prompts.
• Warehouse-native data foundation. 62,000 workspaces, a million data syncs per day, 300+ integrations. Customer data stays in the warehouse. No proprietary data store, no duplication, no lock-in.

The Role

You will lead the Agentic Ads Platform. The foundation exists (customers generating ads today), and the opportunity is turning it into the platform that closes the full advertising loop. Four major areas of work:

• Multi-model creative generation. Today the platform generates static images. The roadmap includes video generation, motion graphics, format adaptation, and multi-model orchestration (routing to the best model for each task). Building a creative generation pipeline that produces broadcast-quality output across formats is a hard, high-value problem.
• Marketing context and brand adherence. Making agents genuinely trustworthy for enterprise creative teams. Better context engineering so agents follow brand guidelines, business rules, legal requirements, and channel-specific policies without constant human correction. The gap between "AI-generated ad" and "ad our brand team would actually approve" needs to shrink dramatically.
• Platform depth across ad channels. Deep integrations with Meta, Google, TikTok, LinkedIn, Snapchat, and others. Not just launching ads, but understanding each platform's creative specs, optimization levers, and best practices so agents can automatically adapt creative for each channel, syndicate content across platforms, and optimize placement-level performance. Think: an agent that knows a 9:16 video with text-safe zones works differently on TikTok Reels vs. Instagram Stories and adjusts accordingly.
• Best-in-class agentic creation experience. The interaction model for how marketers work with agents to go from objective to live campaign. This means the conversational interface, the review and approval workflows, the feedback loops that help agents learn what "good" looks like for each brand, and the progressive autonomy controls that let teams start with full human approval and graduate to agent-led execution as trust builds.

Day to day, you will:

• Run deep customer discovery with performance marketing and creative teams at enterprise companies. Understand their workflows, pain points, and what would earn their trust.
• Define the product roadmap tied to revenue milestones. Sequence what to build, what to compose from existing systems, and what to partner on.
• Ship product. Work directly with engineering and design on tight cycles.
• Co-own pipeline and go-to-market. Join customer calls, shape competitive positioning, partner with CS on implementation.

High-visibility role working directly with founders and executive team.

What We're Looking For

• Zero-to-one track record. You have built products from nothing to meaningful revenue, ideally at a B2B SaaS company. The domain matters less than evidence you can find product-market fit under uncertainty.
• Technical depth. You can evaluate architectural tradeoffs, reason about things like multi-model orchestration and API integration design at the level of product decisions, and hold your own in debates with senior engineers.
• Commercial instinct. You think in terms of pipeline, conversion, and expansion. You build roadmaps that map to revenue targets.
• Speed. Small team, high autonomy, tight cycles. We use AI heavily in our own workflows and expect you to do the same.
• Cross-functional trust. This role spans engineering, design, sales, CS, and leadership. You drive clarity from ambiguity.

About The Role

As a Manager of Sales Development, you will lead our exceptional, high agency team to achieve ambitious objectives to drive overwhelming demand for our data activation platform, develop the future leaders of our company, and grow our brand recognition in the market.  You will report into our Head of Sales Development. 

This role is perfect for a leader who is passionate about building and scaling outbound programs, coaching talent, and partnering cross-functionally to drive meaningful pipeline at the top of the funnel.  In this role, you’ll be responsible for hiring, developing, and managing a team who are focused on engaging a range of personas at some of the world’s most impactful companies. 

We’re looking for an experienced and people-driven sales leader who has the skills to effectively drive progress toward our sales organization’s ambitious and challenging objectives. You are strongly aligned with our values and bring a high sense of ownership to your work at Hightouch.

This is a hybrid role in our Chelsea, NYC office or Denver, CO office. 

What You’ll Do

• Hire, train, and develop a team of outbound SDRs
• Coach your team on prospecting and campaign development through 1:1s, call reviews, email coaching, and other formats as needed
• Monitor and report on the team’s performance against input and output metrics
• Work closely with Sales and Marketing leadership on demand generation strategy, sales play development, messaging, and more
• Support the sales leadership in defining the team’s operating model, targets, and headcount needs

What We’re Looking For

• 5+ years of experience in sales with 2+ years of experience leading a sales development function in B2B SaaS focused on outbound opportunities
• Strong analytical skills and passion for digging through data to assess team + business performance.
• Proven track record of team quota attainment.
• Passion for hiring and developing people early in their careers.
• Experience supporting teams working across Enterprise and Mid-Market segments.
• Enthusiasm for wearing many hats, you’re happy to hop on a cold call as well as inspecting message quality and call recordings.
• Experience creating a team culture of collaboration and winning.

Bonus If You Have

• Experience using sales tools such as Outreach, Gong, LinkedIn Sales Navigator, etc.
• Previous closing experience as an Account Executive.
• Have worked in sales at an early or growth stage technology startup.

Compensation

About the Role

This role is for someone who wants to own the technical win. As a Senior Enterprise Solutions Engineer at Hightouch, you will partner with your Account Executives to drive the full technical sales motion from deep discovery and architectural solutioning to tailored product demonstrations and rigorous technical validation. You will own relationships with technical champions, co-develop account strategy, and guide customers to our solutions by navigating complex, multi-stakeholder buying committees and running competitive enterprise sales cycles. We leverage a disciplined value-selling motion, and are looking for deep experience in enterprise sales cycles where you have had to earn the technical win, not assume it.

Hightouch sits at the intersection of two powerful technological shifts: the rise of agentic AI and the maturation of the cloud data warehouse. We are solving real, complex problems at the intersection of marketing and data. As a senior SE, you will become a product expert, a trusted advisor to enterprise buyers, and a meaningful contributor to a team that is still early in building something significant.

What You’ll Do

• Lead technical discovery to deeply understand a customer’s data architecture, marketing workflows, and business objectives; and translate that into differentiated requirements and a compelling solution design.
• Design and deliver tailored product demonstrations and architectural solutions spanning Hightouch’s Customer Studio, Identity Resolution, Match Booster, and Agentic Marketing Platform.
• Run proof-of-concept engagements end-to-end: scoping, designing, executing, and validating with the discipline and rigor required to close complex enterprise deals.
• Build deep technical relationships with data engineers, architects, and marketing technologists becoming their trusted advisor.
• Navigate complex buying committees, engaging confidently with technical teams, marketing leaders, and C-suite executives

What Success Looks Like

Quickly build technical expertise, moving from foundational product, use case, and demo fluency in the first three months to independently closing deals and solving complex, multi-product problems within six months. You will begin contributing beyond your own deals and raising the collective bar for the team within a year.

What We’re Looking For

Required

• 7+ years of progressive enterprise pre-sales or solutions engineering experience, including complex solution architecture across multi-stakeholder buying cycles.
• Demonstrated ability to lead technical discovery, architectural whiteboarding, and solution design with both technical and business audiences, including C-suite stakeholders.
• Deep familiarity with modern data ecosystems: cloud data warehouses, data modeling, data engineering, integrations, and APIs - and the ability to navigate a customer’s data architecture confidently without needing to be a hands-on practitioner.
• Proven ability to build technical champions and influence complex buying committees across engineering, marketing, and executive levels.
• Experience in competitive enterprise sales motions. Familiarity with MEDDPICC, Command the Message, or equivalent value-selling frameworks is a strong plus.
• Intellectual curiosity, high ambition, and humility. You want to keep getting better, and you are honest about what you do not yet know.
• A team-first orientation where you elevate the people around you, operate within shared frameworks and processes, and measure yourself by more than your own quota.

Bonus

• Hands-on experience with Customer Data Platforms (CDPs), Marketing Automation, Data Warehouses, or similar technologies at the integration, architecture, or use case level.
• Background collaborating with data engineering, science, or analytics teams, either as a customer or in a prior role.
• Experience in a high-growth B2B SaaS company scaling through a significant inflection point.

Why Hightouch

We are building something that has the potential to redefine how companies use data to drive marketing outcomes. We’ve doubled in size each of the last three years, earned recognition as a Gartner Magic Quadrant leader in CDP, and have been acknowledged in the top 10 of the Forbes Best Startups list the last two years.

Beyond the market position and the customer list, what makes this team worth joining is the culture and values. Two core values exemplify how this team operates:

Forever Hungry — We are ambitious and we celebrate wins, but we are never fully satisfied. We are always looking for ways to push further, move faster, and do more for our customers and each other.

Raising the Bar — We have high expectations for performance and believe in having exceptional talent in every position. We look deeper than credentials, prioritize trajectory over pedigree, and invest in people who make everyone around them better.

As a senior SE at Hightouch, you will have the autonomy to shape your territory, the product complexity to do technically meaningful work, and a team around you that makes it worth showing up for.

Compensation

On-Target Earnings: $220,000–$270,000 annually
Base Salary: $154,000–$189,000 annually

We also offer meaningful equity compensation in the form of ISO options, with early exercise and a generous 10-year post-termination exercise window.

* Travel required for customer and team engagements.

About The Role

In this role, you will lead a team of Implementation Managers who are instrumental in helping customers onboard with Hightouch. Your team works closely with customer stakeholders and internal partners to translate business requirements into reliable technical implementations by designing the right approach, configuring and validating integrations, and guiding customers through the onboarding experience. Implementation Managers serve as trusted technical partners during this phase, coordinating cross-functional execution, navigating complexity, and removing blockers so customers can realize value quickly and confidently.

In this role, you will you will be accountable for the quality, consistency, and predictability of customer implementations. This includes building and scaling a high-performing team, setting clear delivery standards, and ensuring customers realize value from the Hightouch platform quickly and reliably.

This is a hands-on leadership role that combines people management with deep technical expertise. You will actively participate in solution design reviews, guide your team through complex technical challenges, and lead critical escalations when needed. You’ll work closely with Customer Success, Product, and Engineering to surface systemic delivery issues and customer insights that inform product and process improvements.

What You'll Do

People Leadership & Development

• Build, hire, and develop a high-performing team of Implementation Managers
• Coach and mentor team members on both technical execution and customer-facing skills
• Establish clear goals, performance metrics, and accountability tied to implementation outcomes
• Foster a culture of technical rigor, ownership, and continuous improvement

Implementation Strategy & Delivery

• Develop and scale implementation frameworks that balance consistency with flexibility for complex use cases
• Identify delivery risks early and drive mitigation plans across accounts
• Ensure a consistently high bar for customer onboarding and launch experiences

Technical Excellence & Operations

• Maintain deep technical knowledge of the Hightouch platform and stay current with product developments
• Establish and evolve technical best practices and implementation standards
• Lead complex technical escalations and unblock high-risk customer situations
• Partner with Engineering and Product to translate recurring customer challenges into product and tooling improvements

Cross-Functional Leadership

• Partner closely with Customer Success to ensure smooth handoffs and long-term customer success
• Represent the voice of the customer in internal planning and strategy discussions
• Contribute to the rollout of new products and features by ensuring implementation readiness
• Drive process improvements that increase team efficiency and reduce delivery friction

What We’re Looking For

Leadership Experience

• 3–5 years of people management experience leading technical, delivery-oriented teams (e.g. implementation, solutions, onboarding)
• Proven ability to build and scale high-performing teams in fast-growing environments
• Strong coaching and feedback skills with experience developing career paths for technical professionals
• Track record of setting clear expectations and holding teams accountable to outcomes

Technical & Customer Delivery Background

• Deep understanding of enterprise software implementations, including APIs, databases, and data integration systems
• Hands-on experience with complex technical projects involving multiple stakeholders and custom requirements
• Ability to independently reason through data flows, integration patterns, and technical tradeoffs
• Familiarity with customer success and implementation metrics, including time-to-value and launch success

Core Competencies

• Clear, confident communicator with the ability to influence across technical and non-technical audiences
• Strong analytical and problem-solving skills with a bias toward action
• Comfortable operating in ambiguity while maintaining a high bar for execution and quality

Preferred Qualifications

• Experience with modern data stacks, including data warehouses and ETL/ELT tools
• Background in Customer Data Platforms (CDPs), marketing technology, or data activation
• Experience in B2B SaaS, particularly in implementation, solutions engineering, or technical customer success roles
• Track record of improving customer retention through strong onboarding and implementation outcomes

Compensation

The salary range for this position is $185,000-$215,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10-year post-termination exercise window.

The Customer Problem

When you open Spotify, the homepage is different for every user. When you browse Nike's site, products are ranked by what Nike thinks you'll buy. When you log into Chase, offers are tailored to your spending. This is web and mobile personalization: deciding in real time what each customer sees inside your product. It directly moves conversion, retention, and revenue at the point where customers are already engaged.

Almost nobody does it well outside of companies that build it from scratch. A single experiment (testing whether high-spend users convert better seeing a loyalty upsell on the account page) requires an analyst to build the segment, a PM to write targeting rules, a designer to create variants, an engineer to instrument the test, and someone to monitor results. Most teams run 5–10 per quarter and end up with a handful of static rules covering a fraction of their users.

The tools that exist (Optimizely, Adobe Target) handle infrastructure but don't solve the coordination problem. Every experiment, audience, and piece of content still requires manual configuration. They also force companies to duplicate customer data into a proprietary store, adding months of implementation and permanent vendor lock-in.

Why Agents are the Solution

The shift from "AI assists a step" to "AI owns a workflow" is already happening in software engineering. Personalization is ready for the same shift.

Today: A growth team testing whether high-intent visitors convert better with a comparison page spends 2–4 weeks coordinating across tools and people. They run maybe 8 experiments that quarter.

With agents: The growth lead describes the goal. An agent identifies the audience from existing customer data, generates variants informed by past performance, configures the experiment with holdout groups, launches it, monitors significance, and reallocates traffic. The human reviews before launch. Calendar time: hours. The same team runs 50+ experiments per quarter because the coordination cost drops to nearly zero.

Agents handle the full chain as one workflow: audience, content, experiment, optimization. Instead of a bunch of manual steps, agents rethink this as a continuously improving closed loop.

Why Hightouch, Why Now

More than 1,000 enterprises—like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, use Hightouch to run their marketing. Earlier this year we launched the Agentic Marketing Platform with two pillars:

• Agentic Advertising Studio. Agents analyze performance, competitor creative, and brand guidelines, then assemble ad concepts across Meta, Google, TikTok, and LinkedIn.
• Agentic Lifecycle Studio. Agents identify lifecycle opportunities, draft audiences, assemble on-brand email and SMS campaigns, and orchestrate them through Braze, Iterable, Salesforce, and Adobe.

Advertising covers paid media. Lifecycle covers email, SMS, and push. Agentic Personalization is the third pillar: what customers experience inside the website and mobile app. Different buyer (product and growth teams), different workflow (real-time experimentation), different technical surface (browser SDKs and edge delivery). Same agent infrastructure and data foundation.

What no competitor can replicate:

• Agent orchestration. 25+ specialized skills for audience building, content generation, campaign analysis, and multi-step workflow coordination.
• Content assembly. Agents search existing asset libraries for reusable on-brand content before generating anything new, which is what makes output trustworthy enough for enterprises to ship.
• Marketing and brand context. Persistent layer connecting customer data, brand guidelines, creative assets, and performance history so agents operate grounded in how the business works.
• Real-time data infrastructure. Low-latency personalization API, sub-second audience evaluation, ML-powered optimization and recommendations, event pipeline processing millions of events daily.

The Role

Founding Product Manager for Agentic Personalization: Hightouch's third major pillar and biggest new investment. You define the product, the sequencing, and the go-to-market.

• Customer discovery. Deep engagement with product and growth teams at enterprise companies to understand how they personalize web and mobile today, and what would earn their trust in an agent-driven approach. Translate into a roadmap tied to revenue milestones.
• Define the agent experience. What agents do autonomously (segments, variants, experiments, traffic allocation) vs. what needs human approval (production launches, brand-sensitive content). Design the feedback loop that builds trust over time.
• Scale the GTM. Co-own pipeline, join customer calls, shape competitive positioning, partner with CS on implementation playbooks.

High-visibility role working directly with founders and executive team.

What We're Looking For

• Zero-to-one track record. Products you built from nothing to meaningful revenue, ideally at a B2B SaaS company. Domain matters less than evidence you can find product-market fit under uncertainty.
• Technical depth. Can evaluate architectural tradeoffs, debate infrastructure decisions with senior engineers, and reason about things like batch vs. real-time and caching strategies at the level of product decisions.
• Commercial instinct. Think in terms of pipeline, conversion, and expansion. Build roadmaps that map to revenue targets.
• Speed. Small team, high autonomy, tight cycles. We use AI heavily in our own workflows.
• Cross-functional trust. This spans engineering, design, sales, CS, and leadership. You drive clarity from ambiguity.

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $240,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

The Role 

We're hiring a seasoned Revenue Operations leader who moves fast, thinks from first principles, and measures themselves on unlocking performance in our GTM organization.

Hightouch has grown from 10 to 50+ account executives in under two years. That kind of growth creates complexity — in territories, in pipeline, in forecasting, in comp — and we need someone who can cut through it quickly, surface what actually matters, and iterate their way to better answers. This is not a role for someone who optimizes existing playbooks. It's for someone who questions whether the playbook is right in the first place and drives real impact on our revenue teams as a result.

This role reports to our CFO and CRO. You'll be hands-on-keyboard from day one while also building the foundation for how RevOps scales at Hightouch.

What You'll Do 

• Drive fast, data-driven decision-making with sales leadership and the executive team. Surface insights by having a point of view and pressure-testing it quickly with data.
• Own pipeline and funnel analysis with a bias toward action. Identify anything broken, deeply understand it, propose a fix, ship it, learn from it, repeat. We move in days, not quarters.
• Lead territory management as a living system. Continuously reassess coverage and help us read market signals to tweak our ICP and messaging. 
• Design and implement compensation plans that shape behavior. Align plans with company strategy, build buy-in, and deploy at scale. 
• Connect dots across marketing, finance, pre-sales, post-sales, and the exec team. RevOps at Hightouch is a vital connective function – your ability to surface information and collaborate across these groups will make you indispensable. 

Who You Are 

• You've been in high-growth, high-velocity environments with 50+ AEs, ideally at companies that sell enterprise software at multi-$100K or $1M+ price points through direct outbound and partnerships. You know how complex this motion can be and you've learned how to navigate it and prioritize what matters. 
• You think about revenue from first principles. When something isn't working, you don't reach for an industry framework first: you ask why it's not working, build a hypothesis, and test it. You're comfortable holding a view loosely and updating it fast. You also want to learn Hightouch deeply and are excited to build RevOps infrastructure that fits, not just to apply what worked at your last company.
• You have a bias toward iteration over perfection. You'd rather ship an imperfect analysis that moves a decision forward than spend two weeks on a polished deck that arrives too late. You've built cultures around this mentality, not just practiced it yourself.
• You've used data, comp, and visibility to change behavior. You've redesigned incentive structures mid-cycle when they weren't driving the right outcomes, and you've been willing to make the case for uncomfortable changes.
• You're a clear, direct communicator. Sales leaders and executives trust you because you tell them what you actually think, not what they want to hear. You can explain a nuanced revenue problem without burying the point. 

The salary range for this position is $240,000 to $325,000 per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About the Role

The Web Engineering team owns our public website (hightouch.com), which is the face of our company and brand and one of the most important ways that customers and prospects learn about Hightouch. We’re looking for a talented senior web engineer who is passionate about crafting exceptional experiences and cares deeply about the story that we tell customers. As Hightouch continues to scale rapidly, you will play a pivotal role in shaping how we position and promote our new product offerings, including cutting edge advancements in marketing AI and ML.

In this role, you’ll partner closely with our marketing and design teams to build, iterate, and maintain our marketing website. Key responsibilities include:

• Lead the design, scoping, and implementation of marketing website projects such as new feature pages, blog revamps, and more
• Integrate CMS-powered interfaces (we use Sanity) that allow marketers to update content independently
• Build and maintain our design system to ensure we can continue to build with high velocity and high standards for UX
• Develop engaging animations that enhance product storytelling using technologies such as Motion and GSAP
• Exercise strong design judgment and attention to detail to ensure that every aspect of our site reinforces our brand identity

About you

• 5+ years of experience in software/web engineering, ideally with strong proficiency in React, TypeScript, CSS, and Next.js
• Demonstrated ability to build production-ready web applications in a fast-paced environment
• Excellent design taste and obsessive attention to detail
• Proven experience with code-based animations (e.g., using Motion or GSAP) or experience collaborating with contractors on creative implementations
• Ability to work autonomously, lead and coach other engineers, and collaborate effectively with marketing, design, and data teams
• Deep understanding of SEO principles and best practices, especially around performance, accessibility, and search optimization

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $170,000 - $220,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

Interview Process

Our interview process focuses on evaluating fit for the most important dimensions of the role: cross-functional collaboration, a strong sense of design and user experience, and experience building production frontend components.

• Intro Call [30m]: Introductory call with either a member of our recruiting team or the hiring manager to get to know each other and see if the role could be a good mutual fit.
• Technical Screen [45m]: Work with one of our frontend engineers to build a simple component using React and TypeScript.
• Past Projects Deep Dive [45m]: Walk through 2-3 previous projects (personal or professional) with your interviewer while highlighting big wins, challenges, and key decisions.
• Technical Interview [90m]: Work with the interviewer to design, architect, and implement a complex frontend component.
• Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.

We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.

About the Role

We're looking for a Regional Sales Manager to help grow our Mid-Market sales team. Reporting to the Head of Revenue, you'll be responsible for working with your team of Account Executives, providing feedback, coaching and training to ensure quota attainment and overall account development.  If you’re a builder, who thrives in category creation, is passionate about developing empathetic, solutions-oriented and highly impact-driven teams, please apply!

If you join us, we know you’ll make a big impact!  Here’s what we’re thinking:

About You

We are seeking a results-oriented, motivated, and thoughtful sales leader who is laser-focused on recruiting and developing a team that is responsible for capturing net-new business within your assigned territory. On a day-to-day basis, you will be responsible for overseeing our Account Executives and helping them empower our customers achieve business outcomes.

Qualifications:

• You have 3+ years of software sales leadership experience.
• You have expert knowledge and experience in building and motivating sales teams, growing pipeline, and hitting revenue targets.
• Process-oriented and data-driven approach to managing forecasts in tools like Salesforce while scaling repeatable sales processes like MEDDPICC and Command of the Message
• You have consistently achieved sales goals with high seller participation.
• You are a talent magnet! In this role, you will be asked to be on the constant lookout for the best talent to bring onboard to help us continue to build one of the best companies in the world.
• You have the curiosity to learn technical concepts and articulate them in a way that highlights business value to senior or executive stakeholders.
• Track record of developing deep relationships with key partners that align with our strategy to grow
• High sense of urgency and ownership along with empathy and compassion in your leadership style

Responsibilities:

• Consistently help your team meet or exceed quota
• Be considered a top-performing team leader by consistently exceeding team goals
• Cultivate a team of Account Executives who see consistent month-over-month success
• Serve as a mentor, leader, or coach to other new peers of the team
• Provide feedback to the executive team on a regular basis and help them steer the company in the right direction.
• Serve as an active member of the sales leadership team and build strong, collaborative relationships through the Sales, Marketing, Partnerships, Customer Success, Revenue Operations, and Legal teams
•  Work closely with cross-functional teams like SDR and Marketing to drive an account-based marketing strategy
• Ability to work out of our San Francisco office 3x a week 

Compensation Details

On-Target Earnings: $300,000- $350,000
Base Salary: $150,000-$175,000 annually

We also offer meaningful equity compensation in the form of ISO options and offer early exercise and a 10-year post-termination exercise window.

About The Role 

As an Implementation Manager, you will be the force behind successful implementations at Hightouch. Working in close partnership with Technical Account Managers, you will own the full implementation and enablement lifecycle for Hightouch’s Mid-Market and Enterprise customers. You will be primarily responsible for executing the technical aspects of customer onboarding, ensuring seamless integration of Hightouch into customers' existing data infrastructure and working alongside the Technical Account Managers who owns the overall customer journey.

In this role, you will be the product expert who translates complex customer requirements into actionable implementation plans. You should have a natural ability to communicate technical concepts clearly to both data engineering teams and business stakeholders. As the primary owner of the implementation lifecycle, your focus is on creating repeatable, efficient implementation processes that scale across our customer base while maintaining the flexibility to address unique enterprise needs.

What You’ll Do

• Drive the onboarding process for customers, working closely with Technical Account Managers to ensure alignment between technical execution and customer success objectives
• Design and optimize implementation frameworks that can scale across different customer segments while accommodating enterprise-specific requirements
• Lead technical discovery sessions and implementation workshops, collaborating with customer data engineering teams and business stakeholders
• Create and maintain detailed technical documentation for implementations, including integration specifications, data models, and best practices
• Develop and execute implementation plans that minimize time-to-value while ensuring robust, sustainable solutions
• Partner with Technical Account Managers to identify and resolve technical blockers that could impact customer success
• Build relationships with technical stakeholders within customer organizations
• Contribute to product development by providing feedback to our engineering team
• Standardize and automate implementation processes to increase team efficiency and customer satisfaction

What We're Looking For

• 5-10 years of experience in technical implementation, solutions architecture, or similar roles with enterprise software
• Strong technical background with hands-on experience in data integration, APIs, and enterprise architecture
• Proven track record of successfully managing complex technical implementations while maintaining clear communication with a variety of stakeholders
• Experience creating and optimizing implementation processes that can scale across an organization
• Excellence in technical project management with ability to manage multiple concurrent implementations
• Strong presentation and facilitation skills with ability to command a room of technical and business audiences
• Experience working with data warehouses, ETL processes, and marketing technology is a plus
• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

The salary range for this position is $140,000-$180,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About the Role

We are looking for a software engineer to join our Streaming Systems team, working on the high-throughput systems that collect, forward, and perform real time computation on billions of behavioral events from our customers’ users. You'll be building the infrastructure that ingests clickstream, product interaction, and transactional data into our platform. This data is the platform for our “Cursor for Marketers” AI agent product.

Our streaming products’ revenue has 10x’d over the past year, and we need to ensure that we continue to scale. Our infrastructure needs to handle millions of messages per second at single second latency end to end. Recently, we added a computation engine that allows personalizing user experiences in real-time based on live behavior; we’re seeing 7-figure market response in the first few months and need to scale up to meet demand.

We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. You will own and deliver projects from start to finish, work directly with customers to solve their hardest scaling problems, and have significant influence over our technical roadmap.

The base salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. A large portion of the compensation will be in the form of equity via ISO options. We offer early exercise and a 10 year post-termination exercise window.

About You

You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.

You have experience and comfort with distributed systems and high-scale systems or the ability and desire to build this experience quickly. This experience can take different forms.

Some useful, but not necessary, experience:

• Experience with streaming systems like Kafka, Kinesis, Pulsar, Warpstream
• Experience with high RPS, low p99 latency systems

Interview Process

Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

• Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute!
• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
• System Design Screen [45m]: Designing a data processing feature end-to-end.
• Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
• System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.

We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.

#LI-DNP

About the Role

We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningfully improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base.

We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.

Some of the problems we’ll be working on include:

• Sync Speed: Customers want to sync a lot of data to important destinations like Facebook and Snapchat, which requires us to analyze every part of our syncing process and find where we can optimize to sync data more quickly
• Streaming Syncing: We currently sync data from sources in batch only, but envision a world where we also do syncs in real-time and support streaming sources like webhooks and queues
• Scalability and Reliability: As part of our rapid growth, we’re always evaluating current future bottlenecks in scaling and reliability, and architecting for the next order of magnitude of growth
• Personalization API: Our Personalization API product provides a low latency caching layer on top of data warehouses that enable customers to use their data warehouse for real-time personalization use cases with <30ms p90 response times with QPS in the millions
• Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About You

You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.

You have experience and comfort with distributed systems and high-scale systems or the ability and desire to build this experience quickly. This experience can take different forms:

• You’ve built syncing engines that process and move terabytes of data per day in a scalable way
• You’ve created event collection or data streaming services that power company critical systems
• You’ve owned systems that have undergone orders of magnitude of growth and helped them scale accordingly
• You have relevant skills and are a fast learner who is excited to take on the challenges we face

Interview Process

Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
• System Design Screen [45m]: Designing a data processing feature end-to-end.
• Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
• System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.

We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.

#LI-DNP

About the Role

We’re looking for a Technical Sourcer to help identify and source candidates for our engineering roles. Reporting to the SVP of Engineering, this position will have high visibility and the chance to have a large impact as we seek to double the size of our engineering team over the next year.

Top of funnel is a crucial bottleneck in our recruiting engine and we’re looking for someone who:

• Works with hiring managers and recruiters to build a deep understanding of what we are looking for in a role and can map that accurately to potential candidates
• Is motivated and able to source a high volume of candidates when the role requires it
• Can utilize creative ideas to stand out and help with particularly difficult searches
• Has strong writing skills, and can craft messaging that engages candidates
• Is data informed and is well versed in the metrics underlying their work

The salary range for this position is $140,000 - $200,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About the Role

This role is for someone who wants to own the technical win. As an Enterprise Solutions Engineer at Hightouch, you will partner with your Account Executives to drive the full technical sales motion from deep discovery and architectural solutioning to tailored product demonstrations and rigorous technical validation. You will own relationships with technical champions, co-develop account strategy, and guide customers to our solutions by navigating complex, multi-stakeholder buying committees and running competitive enterprise sales cycles. We leverage a disciplined value-selling motion, and are looking for deep experience in enterprise sales cycles where you have had to earn the technical win, not assume it.

Hightouch sits at the intersection of two powerful technological shifts: the rise of agentic AI and the maturation of the cloud data warehouse. We are solving real, complex problems at the intersection of marketing and data. As a senior SE, you will become a product expert, a trusted advisor to enterprise buyers, and a meaningful contributor to a team that is still early in building something significant.

What You’ll Do

• Lead technical discovery to deeply understand a customer’s data architecture, marketing workflows, and business objectives; and translate that into differentiated requirements and a compelling solution design.
• Design and deliver tailored product demonstrations and architectural solutions spanning Hightouch’s Customer Studio, Identity Resolution, Match Booster, and Agentic Marketing Platform.
• Run proof-of-concept engagements end-to-end: scoping, designing, executing, and validating with the discipline and rigor required to close complex enterprise deals.
• Build deep technical relationships with data engineers, architects, and marketing technologists becoming their trusted advisor.
• Navigate complex buying committees, engaging confidently with technical teams, marketing leaders, and C-suite executives

What Success Looks Like

Quickly build technical expertise, moving from foundational product, use case, and demo fluency in the first three months to independently closing deals and solving complex, multi-product problems within six months. You will begin contributing beyond your own deals and raising the collective bar for the team within a year.

What We’re Looking For

Required

• 5+ years of progressive enterprise pre-sales or solutions engineering experience, including complex solution architecture across multi-stakeholder buying cycles.
• Demonstrated ability to lead technical discovery, architectural whiteboarding, and solution design with both technical and business audiences, including C-suite stakeholders.
• Deep familiarity with modern data ecosystems: cloud data warehouses, data modeling, data engineering, integrations, and APIs - and the ability to navigate a customer’s data architecture confidently without needing to be a hands-on practitioner.
• Proven ability to build technical champions and influence complex buying committees across engineering, marketing, and executive levels.
• Experience in competitive enterprise sales motions. Familiarity with MEDDPICC, Command the Message, or equivalent value-selling frameworks is a strong plus.
• Intellectual curiosity, high ambition, and humility. You want to keep getting better, and you are honest about what you do not yet know.
• A team-first orientation where you elevate the people around you, operate within shared frameworks and processes, and measure yourself by more than your own quota.

Bonus

• Hands-on experience with Customer Data Platforms (CDPs), Marketing Automation, Data Warehouses, or similar technologies at the integration, architecture, or use case level.
• Background collaborating with data engineering, science, or analytics teams, either as a customer or in a prior role.
• Experience in a high-growth B2B SaaS company scaling through a significant inflection point.

Why Hightouch

We are building something that has the potential to redefine how companies use data to drive marketing outcomes. We’ve doubled in size each of the last three years, earned recognition as a Gartner Magic Quadrant leader in CDP, and have been acknowledged in the top 10 of the Forbes Best Startups list the last two years.

Beyond the market position and the customer list, what makes this team worth joining is the culture and values. Two core values exemplify how this team operates:

Forever Hungry — We are ambitious and we celebrate wins, but we are never fully satisfied. We are always looking for ways to push further, move faster, and do more for our customers and each other.

Raising the Bar — We have high expectations for performance and believe in having exceptional talent in every position. We look deeper than credentials, prioritize trajectory over pedigree, and invest in people who make everyone around them better.

As a senior SE at Hightouch, you will have the autonomy to shape your territory, the product complexity to do technically meaningful work, and a team around you that makes it worth showing up for.

Compensation

On-Target Earnings: $190,000–$250,000 annually
Base Salary: $133,000–$175,000 annually

We also offer meaningful equity compensation in the form of ISO options, with early exercise and a generous 10-year post-termination exercise window.

* Travel required for customer and team engagements.

About the Role

Customer Studio is Hightouch’s second major product that provides a purpose-built no-code suite of features that enables anyone, regardless of their SQL experience, to activate data directly from their warehouse. The product has become an essential part of the day-to-day operations for marketing and growth teams to build and measure audiences and campaigns, and it also serves as part of the underlying infrastructure that powers our agentic marketing workflows. The team blends product and customer-first thinking with challenges at high data scale, helping us reimagine marketing in an AI-native world.

We’re looking to add a product-minded backend engineer to the team. The ideal candidate will be comfortable diving deep into backend and distributed systems and think holistically about architecture, scalability, maintainability, and reliability. We also are looking for someone with strong customer and product thinking and who feels comfortable writing and engaging with product specs.

Some of the problems we’ll be working on include:

• Data Warehouse Performance: We’re consistently pushing the limits of what data warehouses can handle in terms of speed, performance, and interactivity. We explore optimizations generally (e.g. optimizing queries, storing pre-computed state), as well as investigate warehouse-specific improvements.
• Analytics and Experimentation: How can Hightouch help customers build segments and decide what data they want to sync? How can we facilitate experimentation to downstream tools, including tracking the performance of different audiences?
• Real-time Audience Syncing: Our users are always interested in faster syncing and fresher data. As warehouses become more real-time and adopt technologies like CDC, we’re excited to explore real-time audience computation and syncing.
• Generative AI: We’re continuously working on making the user experience of acting on data more seamless, and are optimistic generative AI can enhance user workflows.

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

Interview Process

Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense, ability to architect backend and distributed systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.

• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
• System Design Screen [45m]: Designing a data processing feature end-to-end.
• Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
• System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.

#LI-DNI

About the Role

We're looking for a Regional Sales Leader to help grow our Enterprise sales team. Reporting to the VP of Enterprise East, you'll be responsible for working with your team of Account Executives, providing feedback, coaching and training to ensure quota attainment and overall account development.  If you’re a builder who thrives in category creation, is passionate about developing empathetic, solutions-oriented and highly impact-driven teams, please apply!

If you join us, we know you’ll make a big impact!  Here’s what we’re thinking:

About You

We are seeking a results-oriented, motivated, and thoughtful sales leader who is laser-focused on recruiting and developing a team that is responsible for capturing net-new business within your assigned territory. On a day-to-day basis, you will be responsible for overseeing our Account Executives and helping them empower our customers to achieve business outcomes.

Qualifications:

• You have 5+ years of software sales leadership experience with at least 2+ years of that leading an Enterprise Sales Segment. 
• You have expert knowledge and experience in building and motivating sales teams, growing pipeline, and hitting revenue targets.
• Process oriented and data driven approach to managing forecasts in tools like Salesforce while scaling repeatable sales processes like MEDDPICC and Command of the Message
• You have consistent achievement of sales goals with high seller participation.
• You are a talent magnet! In this role, you will be asked to be on the constant lookout for the best talent to bring onboard to help us continue to build one of the best companies in the world.
• You have the curiosity to learn technical concepts and articulate them in a way that highlights business value to senior or executive stakeholders.
• Track record of developing deep relationships with key partners that align with our strategy to grow
• High sense of urgency and ownership along with empathy and compassion in your leadership style

Responsibilities:

• Consistently help your team meet or exceed quota
• Be considered a top-performing team leader by consistently exceeding team goals
• Cultivate a team of Account Executives that see consistent month-over-month success
• Serve as a mentor, leader, or coach to other new peers of the team
• Provide feedback to the executive team on a regular basis and help them steer the company in the right direction.
• Serve as an active member of the sales leadership team and build strong, collaborative relationships through the Sales, Marketing, Partnerships, Customer Success, Revenue Operations, and Legal teams
•  Work closely with cross-functional teams like SDR and Marketing to drive an account-based marketing strategy

About the Role

We are looking for an engineering leader to lead machine learning efforts across Hightouch. While hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figuring out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, Hightouch is perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.

At Hightouch, our engineering leaders serve as both active technical voices and strong people managers. The key outcomes we are looking for from this role include:

• Product Development: Lead the team in roadmapping and executing successful development of significant features and products as required to drive the business forward. Uphold a high technical bar, while making pragmatic tradeoffs
• Pace: Through a combination of leadership and technical expertise, improve the pace of execution of the team
• Recruiting: Be responsible for growing the team, including identifying needs, deciding how to evaluate candidates, and ensuring we hire high impact team members
• Reliability: Against the uphill battle of high growth/scale, up-level the team on reliability, resulting in fewer incidents, catching our own issues before our customers do, and a strong incident management hygiene
• People: Foster growth of team members and ensure strong engagement and motivation

Some of the problems we’ll be working on include:

• Personalization and Product Recommendation: There are often many options for what content a company could message a user with, including which products to show from catalogues. Given this large state space, how can Hightouch help personalize messages with the most relevant content for each user?
• Probabilistic Identity Resolution: Many of our customers have multiple datasets and sources of information on their users. How do we stitch these datasets together and decide which profiles are from the same user or household?
• Content Generation: Particularly with recent advances in LLMs, how can we help marketers generate text, images, and creatives that are compelling to their customers?
• ML Infrastructure: Building the infrastructure to support model training and interference at scale for some of the largest companies in the world.

What We Offer

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $230,000 - $350,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.

About the Role

We're looking for a front-end focused full stack product engineer to join our fast-growing engineering team, where you’ll help develop delightful and intuitive interfaces that enable non-technical users to easily engage with advanced features.

At Hightouch, full stack engineers work closely with design, product managers, solutions engineers, and customers to understand problems and build polished and intuitive features.

On a typical day, you will be:

• Architecting and building features end-to-end for a new generation of marketing and growth products
• Collaborating closely with customers and cross-functional partners - designers, product managers - to understand real-world behavior
• Working alongside ML engineers to surface insights that empower marketers to make confident decisions

Our ideal engineer is someone who has proven experience working closely with product teams to build user interfaces from zero to one. You should be able to independently lead and architect complex frontend systems, and be proficient in building CRUD applications and with a solid understanding of backend API design and data models.

Our frontend is built in React and Typescript, and our backend is also built on Typescript with some elements of Go.

The salary range for this role is $180,000 - $270,000 USD per year, fully remote and location-independent. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

Interview Process

• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
• Frontend Technical Screen [60m]: You will work together with one of our frontend engineers to build a component that is used commonly throughout the Hightouch app. 
• Full Stack Interview [90m]: This interview is a design-focused session where you'll work collaboratively with the interviewer to think through real product and engineering problems.
• Hiring Manager Interview [30m]: Chat with the hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.

We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.

#LI-DNI

About The Role

At its core, the AI Strategy Consultant role centers around driving marketing strategy and transformation in enterprise organizations.

Today, most marketing communications are planned weeks in advance on a calendar based on dates and internal priorities. Each email, push, campaign takes 3-5 people and dozens of steps to create. Our customers come to us looking to transform the way they do marketing: using AI agents to rapidly learn about consumer preferences and deliver highly effective marketing and product experiences to each customer 1:1.

As an AI Strategy Consultant, you are the trusted technical–strategic partner for our AI Decisioning customers. You own the bridge between what the product can do and what the customer’s business needs — from discovery through go‑live and expansion.

You’ll work with as a part of a driven and creative team of ML + product engineers, product designers, and other Strategy Consultants to deploy new use cases with the largest customer-facing brands in the world. Your mission is to uncover the most impactful use cases for our customers, understand the insights that are derived from the decision engine, and recommend to our customers new campaigns or adjustments to achieve greater outcomes.

You’ll immerse yourself in our customer’s marketing organization. You’ll partner with customer teams and explore the data, and plunge into the product landscape to help us scale. The problems you’ll work on require a curious and analytical approach, sharp product intuition, and the ability to use insight to improve decisions.

No two days are the same, but you can expect to:

• Own all phases of AI Decisioning use case delivery working alongside Hightouch engineers, customer executives, marketers, and IT stakeholders
• Run design sessions with customers to decide on and document use case requirements and improvements
• Champion delivery & project management excellence through development of process playbooks and best practices
• Proactively identify, escalate, and mitigate potential project risks
• Build relationships with key stakeholders at Hightouch customers
• Participate in driving the AI Decisioning product strategy

What We're Looking For

• Ability to travel 10 - 25% required
• Experience working with Martech tools/CEMs/CDPs/etc.
• Strong discovery and interpersonal skills
• Intellectual curiosity, high ambition, and humility
• Clear communicator: you are able to express yourself clearly and persuasively, both in writing and speech
• Experience managing and executing technical projects with a customer-first attitude and a strong sense of empathy

Bonus If You Have

• Experience with programming, scripting or statistical packages (e.g. Python, R, Matlab, SQL)

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. We focus on impact and potential for growth more than years of experience. The salary range for this position is $170,000-$200,000 (80/20 split variable) USD per year.

About the Role

We are looking for a developer productivity engineer to take responsibility for our monorepo and the “path to production” for over 50 engineers pushing over 75 commits a day with continuous deployment to production. This presents an exciting challenge where you can apply your expertise in helping teams ship fast and safe to meaningfully improve the productivity of our engineering team. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base. Our monorepo is primarily Javascript/Typescript with some Go and Python. While the primary responsibility of this job is developer productivity, to fit in with the team and be productive in our codebase generally, strong computer science and development fundamentals will be required. As part of your onboarding, you’ll spend significant time writing and delivering features to gain empathy for the current dev flow.

We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.

Some of the problems we’ll be working on include:

• Own the build: You’ll be the single threaded owner for the build/test/deploy of our software and how each team fits into it
• Monorepo productivity: Detangle our build/test/deploy patterns so teams can move fast and not block each other. Investigate/implement a tool like turbo repo to speed builds and separate concerns
• Drive excellence in testing: We need to improve our top-down and team-level views into test coverage + support an ever growing matrix of data sources, data destinations, and enrichment patterns. An excellent engineer in this role will be able to “hold up a mirror” to our dev teams, helping each team understand where they have gaps
• Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base
• Operational excellence: Support an increase in our ability to catch issues before they reach production and respond quickly if they do

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About You

You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.

You’ve driven significant improvement in the productivity of a 50+ person development team by making high-leverage changes to their build/test/deploy processes. While you likely have some infra chops, this is not an infra role: you have strong development fundamentals and are comfortable driving framework-level improvements across multiple teams. This could take several forms:

• You’ve been a member of a developer-productivity team/function for an outstanding development team
• You’ve organically become “the build person” at a fast-growing startup and helped bring order to chaos
• You’ve personally delivered code that has improved cross-team metrics related to developer productivity (e.g., DORA metrics, coverage, etc)

In addition to any of the above, we’re looking for someone who can dive into feature code, including complicated backend code, as needed.

Interview Process

Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

• Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute!
• Recruiter Screen: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit
• System Design Screen: Designing a data processing feature end-to-end.
• Developer Productivity Skills Interview: We’ll dive into your experience making teams productive through a discussion of past projects and tooling you've used.
• Hiring Manager Interview: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
• System Design Interview: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.

We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.

About The Role 

Hightouch is looking for a Sales Development Representative to join our rapidly growing team. In this role, you will be responsible for generating top of the funnel leads in addition to building foundational processes and strategies to the commercial sales team. You will be outbounding to engineers, marketers, and operation teams so we are looking for someone who is highly intelligent and also has the ability to connect with multiple audiences.

What You’ll Do 

• Outreach directly into prospective agents that fit our ideal persona via cold-calls, text, emails, integrated marketing campaigns, LinkedIn campaigns and other methods
• You work with the growth team to  research and craft personalized outreach to target accounts
• Find creative methods, channels, and strategies to help guide prospects to our free trial
• As part of our growing SDR team, help define and improve sales processes, strategies, tactics, and more
• You will be tasked with a goal and expected to execute against it on a monthly basis
• You will live in slack and monitor for new signups, engaging them directly in order to schedule meetings with them. Those meetings will be scheduled for with the sales org and the customer

What We're Looking For

• Bachelor's degree
• Be a Self-starter, ability to self-motivate in a high-growth start-up
• Effective communication skills, both written and verbal
• Prior experience engaging customers and prospects
• Interest in tech and more specifically data
• Ability to multitask, organize, and prioritize work

Even if your experience does not line up perfectly, we are still excited to have you apply. The best hires do not always check off every box of a job description.

About the Role

We are looking for a principal engineer to join our Streaming Systems team, leading work on the high-throughput systems that collect, forward, and perform realtime computation on billions of behavioral events from our customer’s users. You'll be building the infrastructure that ingests clickstream, product interaction, and transactional data into our platform. This data is the platform for our “Cursor for Marketers” AI agent product.

Our streaming products’ revenue has 10x’d over the past year, and we need to ensure that we continue to scale. Our infrastructure needs to handle millions of messages per second at single second latency end to end. Recently, we added a computation engine that allows personalizing user experiences in real-time based on live behavior; we’re seeing 7-figure market response in the first few months and need to scale up to meet demand.

We are building new products from scratch, so we need someone who enjoys greenfield work and leading other engineers. Some of the problems you’d work on include:

1. Preserving <1s end to end system latency at throughput over 1,000,000 messages / second.
2. Improving caching strategies for our online computation service
3. Architecting a system that can deduplicate message delivery at 1,000,000 messages / second.
4. Patterns for elegant and zero-downtime deployments in our online computation service

We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. You will own and deliver projects from start to finish, work directly with customers to solve their hardest scaling problems, and have significant influence over our technical roadmap.

The base salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. A large portion of the compensation will be in the form of equity via ISO options. We offer early exercise and a 10 year post-termination exercise window.

About You

• You are an experienced engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment. You have experience leading highly complex and ambitious projects, and want to mentor and up level engineers around you.
• You have experience architecting, building, deploying, and maintaining distributed systems at scale, and can broadcast and encourage technical excellence in doing so.
• You have opinions about how engineering should be done, and want to help scale a rapidly growing engineering team.

Interview Process

Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

• Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute!
• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
• System Design Screen [45m]: Designing a data processing feature end-to-end.
• Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
• System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.
• Execution and Impact [60m]: Pick a project you lead and prepare to give the interviewer a walk through. Then deep dive and answer questions about the project execution and how you lead it.

We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.

#LI-DNP

About the Role

In the last 12-18 months, Hightouch has been adopted by larger and larger customers and enterprises. These enterprises have both high data scale as well as complex organizations with many individuals and teams using Hightouch on a daily basis. The Control Plane team focuses on building user-friendly but powerful tools and products for enterprises to efficiently onboard onto Hightouch and manage and scale their Hightouch deployments.

We’re looking to add a product-minded backend engineer to the team. The ideal candidate will be comfortable diving deep into backend, distributed systems, and asynchronous workflows and think holistically about architecture, scalability, maintainability, and reliability. We are also looking for someone with strong customer and product thinking and who feels comfortable writing and engaging with product specs.

Some of the problems we’ll be working on include:

• Roles, Permissions, and Access Control: We have a flexible and powerful access control framework that allows enterprise admins to configure the right level of permissions for different groups of users and teams within their company. As Hightouch expands our product lines, the Control Plane team will also adapt and extend our access control capabilities to support that growth.
• Change Management: When a customer’s underlying data model or data warehouse changes, this can have downstream impact on their Customer Studio schema, audiences, and other syncs and data pipelines. What tools can we build for admins to better manage these types of changes at scale?
• Data Warehouse Performance and Costs: As customers continue to adopt Hightouch within their organizations and their usage of Hightouch grows, they’ll drive more warehouse activity and compute from Hightouch. How can we help admins better understand and optimize warehouse performance and costs as a result of Hightouch activity?

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $260,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

Interview Process

Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense, ability to architect backend and distributed systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.

• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
• System Design Screen [60m]: Designing a data processing feature end-to-end.
• Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
• System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.

We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.

About this role

We are looking for an experienced Senior Business Intelligence Analyst to scale a critically important function responsible for building and maintaining systems, processes and services that enable us to understand financial performance and unlock key business insights at Faire. The ideal candidate for this role will ensure key accounting procedures are automated in ways that are accurate, efficient, easy-to-understand, and scalable. This role will sit in the Finance department and collaborate with team members from a breadth of functional groups across Faire, including Accounting, Finance & Strategy, Engineering and Data Infrastructure. This role will have a tremendous impact on the ability for Faire employees to use data effectively in order to report numbers externally and make impactful decisions internally. As an early member of a burgeoning team, you will have the opportunity to write the roadmap for how we improve access to business critical data and unlock automation that amplifies the impact of a variety of functions. 

What you’ll do 

• Scope, design, create, and manage complex ETL flows that aggregate and synthesize key business performance metrics and financial reporting, ensuring efficient, accurate, and scalable data models using best practices 
• Act as a trusted analytical partner to the Accounting and Finance teams providing technical expertise, gathering requirements from product and operational teams, and enabling data-driven decision-making and accountability by ensuring core ledgers accurately reflect business changes 
• Collaborate closely with Engineering, Data Infrastructure, and other stakeholders as a key translator and process improver, gathering requirements and delivering impactful data solutions that ensure alignment and efficiency across the organization 
• Lead initiatives to drive data strategy, roadmap planning, and prioritization, ensuring alignment with business objectives 
• Act as a thought leader to expand the team’s influence and impact throughout the Finance team and the broader organization 
• Drive workflow automation and innovation across Finance, including identifying and implementing Gen-AI–enabled productivity solutions to modernize processes and increase team leverage

Qualifications

• 5+ years of work experience in Business Intelligence, Analytics Engineering, Data Analytics, or comparable function 
• Expert in SQL with focus on data modeling, large-scale data processing, and tool development for analytics or Financial use cases. 
• Experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms 
• Experience with analytics workflow tools (examples: Airflow, Docker, dbt), data warehousing and storage (examples: Snowflake, BigQuery, Redshift, S3), and data visualization tools (examples: Mode, Tableau, Looker) 

Nice to have: 

• Experience with Python, R or other programming languages 
• BA/BS degree, ideally in computer science, math or another quantitative field 
• Familiarity with version control using Git and proficiency in command-line tools for workflow automation and data manipulation

Salary Range

San Francisco and New York: The pay range for this role is $174,500 to $240,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for a Senior Data Governance Analyst to drive data literacy across FanDuel.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

• Should Represent the Data Governance team in discussions with technical and business stakeholders globally as a subject matter expert on our toolkit and roadmap
• Support metadata management processes and standards across all of the data domains to ensure data integrity and standardization
• Promote a culture of data governance by developing partnerships with data owners and stewards to promote data governance best practices
• Outline and help implement data governance performance and standards, while developing and implementing operating plans to achieve those standards via audits, automation and processes
• Identify and communicate improvements in the design and effectiveness of key controls and processes including automation
• Serve as a SME on product interface and capabilities for select data domains
• Understand business requirements, translating them into actionable specifications including how data should be governed

THE STATS
What we're looking for in our next teammate

• BA or BS in Information Systems, CS, Data Management or Analysis or similar is desired.
• 5+ years’ experience in a data driven function and role such as a data governance analyst, quality assurance analyst, product owner, data analyst, or similar role diligently applying principles, practices, and theory
• Strong sense of ownership over deliverables, as this role will have end-to-end responsibilities for certain processes and procedures
• Good skills and knowledge of facilitation, situational awareness, conflict resolution, continual improvement, empowerment, and increasing transparency.
• Excellent written and verbal communication skills. Able to communicate anywhere from the team level to C-level executives.
• Excellent collaboration skills and the ability to communicate business value and obtain buy-in for process and culture changes

Preferred:

• Minimum two years of experience in the technology industry, knowledge of clickstream datasets a plus.
• Experience with Data Governance tools such as Alation, Collibra, Informatica, etc.
• Experience with Data Quality tools and/or Data Classification tools
• High familiarity with data platforms and applications such as S3, Databricks, Snowflake, Redshift, Airflow and BI Tools such as Tableau, Looker, Microstrategy
• Proficiency with Python, Pyspark or SQL
• Knowledge of sports and/or experience working within a heavily regulated industry is a plus
• Don’t check all the boxes? That’s okay! We encourage you to still apply if you feel like you possess an adjacent skill set and are interested in learning more about this position.
  
  

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $138,000 - $181,650 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid 

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for a Senior Data Governance Analyst to drive data literacy across FanDuel.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

• Should Represent the Data Governance team in discussions with technical and business stakeholders globally as a subject matter expert on our toolkit and roadmap
• Support metadata management processes and standards across all of the data domains to ensure data integrity and standardization
• Promote a culture of data governance by developing partnerships with data owners and stewards to promote data governance best practices
• Outline and help implement data governance performance and standards, while developing and implementing operating plans to achieve those standards via audits, automation and processes
• Identify and communicate improvements in the design and effectiveness of key controls and processes including automation
• Serve as a SME on product interface and capabilities for select data domains
• Understand business requirements, translating them into actionable specifications including how data should be governed

THE STATS
What we're looking for in our next teammate

• BA or BS in Information Systems, CS, Data Management or Analysis or similar is desired.
• 5+ years’ experience in a data driven function and role such as a data governance analyst, quality assurance analyst, product owner, data analyst, or similar role diligently applying principles, practices, and theory
• Strong sense of ownership over deliverables, as this role will have end-to-end responsibilities for certain processes and procedures
• Good skills and knowledge of facilitation, situational awareness, conflict resolution, continual improvement, empowerment, and increasing transparency.
• Excellent written and verbal communication skills. Able to communicate anywhere from the team level to C-level executives.
• Excellent collaboration skills and the ability to communicate business value and obtain buy-in for process and culture changes

Preferred:

• Minimum two years of experience in the technology industry, knowledge of clickstream datasets a plus.
• Experience with Data Governance tools such as Alation, Collibra, Informatica, etc.
• Experience with Data Quality tools and/or Data Classification tools
• High familiarity with data platforms and applications such as S3, Databricks, Snowflake, Redshift, Airflow and BI Tools such as Tableau, Looker, Microstrategy
• Proficiency with Python, Pyspark or SQL
• Knowledge of sports and/or experience working within a heavily regulated industry is a plus
• Don’t check all the boxes? That’s okay! We encourage you to still apply if you feel like you possess an adjacent skill set and are interested in learning more about this position.
  
  

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $138,000 - $181,650 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid 

About the Opportunity 

Managing data is a core element of operating the world’s most inspiring Virtual Power Plant (VPP). (You can’t fact check vibes.) Data Engineering is the team that brings it all together. From millions of internet-connected devices that use, store, and distribute power to all the clients that use those devices to manage grid load, Data Engineering makes it possible. We love data, translation, observability, and quality. 

From schema design to data transformation, from privacy and security to compliance, Data Engineering covers a lot of range. It’s a tight-knit team of engineers dedicated to excellence, quality, high-throughput communication, and deep collaboration. Client experience is at the focus of our efforts, but we also serve other internal customers with high-value data and information. 

The Role

You will integrate with the Data Engineering team, collaborating as a full-fledged member of the team, not doing some intern project on the side. You are joining us during the busiest season and will get a full glimpse of what it is like to work on a dedicated team of professionals who care about one another and are dedicated to each other’s success.

• Collaborate closely across teams to help build and maintain EnergyHub’s core data products
• Pair with and receive mentorship from brilliant engineers from a variety of backgrounds, gaining wisdom from their unique experiences and talents
• Deepen your knowledge of modern data engineering tools like Snowflake, dbt, Airflow, and Sigma
• Work in an agile environment, deepening your understanding of translating business and client needs into excellent products
• Contribute to mission-critical projects across the data lifecycle through
  • Feature development
  • Data platform enhancement
  • Bug fixes (identification & resolution)
  • Automations & efficiency improvements
  • Pair programming and code review (providing & receiving feedback)
  • Documentation
  • Monitoring and alerting
• Improve monitoring, troubleshooting, and resolution processes to improve our processes
• Monitor cloud costs across our toolset to maintain efficiency and justify expenses
• Build the absolutely coolest stuff of your career (so far)
• Help your hiring manager sustainably manage their usage of adjectives and adverbs
• Other duties as assigned

About you

• First and foremost, you have to sincerely love data and all the things it can enable and empower
• Current enrollment in (or immediate graduate of) an undergraduate or graduate program in or related to data engineering
• Proficiency in SQL and Python and perhaps even dbt and Sigma experience, with an awesome ability to bring sanity and clarity to syntactic complexity
  • Nice to have: Snowflake Data Warehousing Workshop (Badge 1)
  • Nice to have: dbt Fundamentals
• Some monitoring and dashboarding experience (e.g. Snowflake, Sigma, Datadog)
• A clear understanding of the difference between OLAP and OLTP RDBMS systems and when to recommend one over the other
• Knowledge of a variety of file structures such as CSV, JSON, and Parquet, and when one might be preferable over others
• Drive and dedication for quality and performance in everything you touch and thirst for learning new techniques
• Clear communication (written and verbal), capable collaboration (in-office and online), and cultivated curiosity
• Warmth and welcoming for your collaborators, colleagues, and cohort, with an urge to help them succeed and pay their generosity forward to others
• Above-average appreciation for alliteration
• Well-grounded stance on AI adoption that makes you a stronger, more capable engineer

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

Why work for EnergyHub?

• Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.
• Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
• Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.

About EnergyHub

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.

To learn more, visit energyhub.com.

EnergyHub is an Equal Opportunity Employer

EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact accommodations.apply@energyhub.net.

In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:

EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you.

About the Opportunity

The Commercial & Industrial (C&I) Team facilitates the management of our non-residential demand response programs, covering some of our largest customers and programs by flexible grid capacity. Our newly formed team will play a critical role in ensuring the scalability and flexibility of our future by creating a first class platform for our clients. This is an opportunity to join a highly energized team of engineers eager to define and develop key concepts, solve complex challenges with real-world constraints and have a positive impact on our climate future. This is a three-month internship opportunity.

Main Responsibilities: What you’ll do

• Collaborate with and receive mentorship from brilliant engineers from a variety of backgrounds, gaining wisdom from their unique experiences and talents
• Own a high-impact project during your internship and deepen your knowledge of modern data engineering tools like Snowflake, dbt, Airflow, and Sigma
• Work in an agile environment, deepening your understanding of translating product requirements into excellent products
• Improve monitoring, troubleshooting, and resolution processes to improve EnergyHub’s products
• Improve our production pipelines, reducing tech debt and ensuring efficient data processing for our customers
• Other duties as assigned

Required Skills and Experience: What you need

• First and foremost, you have to sincerely love data and all the things it can enable and empower
• Current enrollment in (or immediate graduate of) an undergraduate or graduate program in or related to data engineering
• Proficiency in SQL and Python and perhaps even dbt and Sigma experience, with an awesome ability to bring sanity and clarity to syntactic complexity
• Some monitoring and dashboarding experience (e.g. Snowflake, Sigma, Datadog)
• A clear understanding of the difference between OLAP and OLTP systems and a basic familiarity with file structures like CSV, JSON, and Parquet.

Preferred Skills and Experience: Nice-to-haves

• Drive and dedication for quality and performance in everything you touch and thirst for learning new techniques
• Clear communication (written and verbal), capable collaboration (in-office and online), and cultivated curiosity
• Warmth and welcoming for your collaborators, colleagues, and cohort, with an urge to help them succeed and pay their generosity forward to others

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

Why work for EnergyHub?

• Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.
• Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
• Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.

About EnergyHub

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.

To learn more, visit energyhub.com.

EnergyHub is an Equal Opportunity Employer

EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact accommodations.apply@energyhub.net.

In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:

EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you.

About the Opportunity 

As a Software Engineering Intern on our growing EV team, you will design and develop frontend or backend services that support residential EV programs, while maintaining a strong security posture across our infrastructure. Working closely with leading EV
providers such as Tesla and GM, you will improve grid flexibility and enhance the value of our programs.

Partnering with other engineers, you will build new services and products in EnergyHub’s EV platform, engaging homeowners and OEMs on initiatives that unlock the full potential of EVs and deliver meaningful grid impact.

This role can encompass several areas including data monitoring, internal tooling and reporting, integrations with EV OEMs or other third party services, and new features to improve the quality and breadth of our EV solutions. Ideally, we would love our intern to be with us from July to December.

Main Responsibilities

• Develop Kotlin-based or Ruby on Rails-based solutions, working towards well-structured, high-quality code with automated testing
• Develop front-end solutions supporting EV drivers and/or utilities in React
• Collaborate cross-functionally with product managers, internal engineering teams, and stakeholders to contribute to high-impact projects.
• Work within real-world constraints to develop creative solutions that work towards platform flexibility and scalability.
• Contribute to best practices for CI/CD, data modeling, and iterative development (e.g., PoCs, rapid prototyping, milestone-based execution).
• Actively participate in a strong technical culture of respect, open communication, and collaboration.
• Write and maintain technical documentation
• Drive and embody the “Dev Owns Quality” culture
• Other duties as assigned

Key Skills and Experience

• Eager to learn new technologies and enthusiastic to be a full-stack engineer with a focus on application development, integrations and internal tooling
• Experience developing the full SDLC
• Experience with Java, Kotlin and/or Ruby on Rails
• Experience with React
• Strong problem-solving skills, capable of balancing multiple use cases while enabling flexibility 
• Strong communication skills, with an emphasis on cross-functional collaboration
  and working on challenging technical problems

Preferred Skills and Experience

• Extensive data engineering experience is a huge plus, including addressing data quality issues, building data pipelines, monitoring and alerting
• Experience with relational databases and SQL is a plus
• Experience with S3, MongoDB, AWS, DBT, Snowflake a plus
• Experience with web services and RESTful APIs
• Familiarity with CI/CD pipelines and modern software development practices
• Proven ability to deliver high-quality, iterative value while maintaining execution speed
• Knowledge of modern security best practices, authentication/authorization frameworks, and system/API hardening

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

Why work for EnergyHub?

• Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.
• Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
• Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.

About EnergyHub

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.

To learn more, visit energyhub.com.

EnergyHub is an Equal Opportunity Employer

EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact accommodations.apply@energyhub.net.

In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:

EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you.

Based in New York, Audax Private Debt is a leading debt capital partner for North American middle market companies. Since its inception in 2000, the firm has invested more than $44 billion in support of over 295 private equity sponsors. Audax Private Debt works collaboratively to build tailored financing solutions for its clients through a comprehensive range of offerings that includes first lien, stretch senior, unitranche, second lien, and subordinated debt, as well as equity co-investments. Audax Private Debt is an experienced and trusted partner with senior leadership averaging more than 26 years in private credit and 15 years working together at the firm through multiple economic cycles. For more information, please visit audaxprivatedebt.com or follow us on LinkedIn.

 POSITION SUMMARY:

As part of our continued growth, Audax Private Debt seeks an Analyst to join our Private Debt Portfolio Reporting Team.  The Team provides portfolio, operational, and financial reporting support to the Origination Debt investment, Investor Relations, and internal management teams.  The role will lead processes and manage systems that promote efficient and effective data capture and analysis, requiring coordination with the investment team, other members of Finance, and IT.

RESPONSIBILITIES:

Process development & implementation

• Identify operational improvements to maximize efficiency and build a scalable foundation for growth. Refine centralized databases and business intelligence processes to improve quality and control of data for reporting and analysis
• Work to evolve the team’s data strategy, including data governance and data lifecycle management
• Maintain and improve data integrity, run regular data screens, and educate team members across departments to ensure adherence to data entry best practices
• Execute data extraction, aggregation and standardization
• Assist in data consolidation and migration for system implementations
• Facilitate new reporting requests that help to monitor the performance of the portfolio

 Investor Relations due diligence

• Analyze investment performance and draft reports to prospective and existing limited partners in response to due diligence requests
• Compile investment data to complete templates requested by investors
• Create automation that will streamline the preparation of quarterly/annual investment updates and portfolio company write-ups for investors

Performance calculation & analysis

• Gross and net portfolio return attribution and comparative benchmark analysis
• Update monthly return and performance metric files for internal and external reporting
• Develop and convey executive level summaries and recommendations as needed
• Prepare and execute weekly and monthly reporting packages

REQUIREMENTS/QUALIFICATIONS:

• Bachelor’s degree in Finance, Accounting, Economics, or a related major; CPA or CFA a plus
• Minimum of 2 years of relevant professional experience required
• Experience with data warehouses, semantic modeling and business intelligence a plus
• Experience with PowerBI, Tabular Editor, Snowflake, SQL or Python a plus
• Advanced Excel user with experience with portfolio monitoring software (Dynamo, Anaplan, Allvue fka Black Mountain) a plus
• Proven history of process engineering and efficiency improvements with an understanding of alternative investments and private debt experience a plus
• Detail oriented with outstanding quality assurance and testing skills when working with large data sets
• Must have excellent communication skills, be able to work independently, adapt to change easily and quickly, make decisions, and be highly motivated
• Strong desire to perform at a high level and grow within the organization

 LOCATION: New York, NY. 4 days/week in office.  These in-office requirements may change based on the needs of the business. 

For New York City only: The base salary range for this position is $110,000- $130,000. The base salary range represents the estimated low and high end for this position at the time of this posting. Consistent with applicable law, compensation may vary and will be determined based on but not limited to, the skills, qualifications, and experience of the applicant along with the requirements of the position, and Audax reserves the right to modify this pay range at any time. An employee may also be eligible for annual discretionary incentive compensation based on performance.

Audax offers a wide range of employee benefits, including health insurance, life insurance, disability insurance, paid time off (including sick leave, parental leave, volunteer leave, and vacation), charitable donation match, family support services (including Bright Horizons and Benefit Advocate Center), and a 401(k) in addition to other benefits.

POSITION SUMMARY:

This individual will play a critical cross-functional role supporting the Private Debt business, leading financial analysis and planning efforts, while working closely with the Tax team to incorporate tax considerations into reporting and ensure the business has clear, actionable tax visibility.

The ideal candidate is a self-starter with expertise in both financial planning and tax, capable of managing complex data, delivering actionable insights, and driving process improvement. This position will work closely with senior leadership, including the CFO, EVP & VP of FP&A and act as a key liaison with internal stakeholders and external advisors.

RESPONSIBILITIES

Financial Planning & Analysis (Approx. 60%):

• Support the delivery and ongoing enhancement of monthly reporting and analysis
• Analyze financial performance, including budget vs. actuals and key business drivers
• Assist with quarterly close processes, including accruals and allocations
• Develop and maintain financial models to support budgeting, forecasting, and long-term planning
• Contribute to improving operating P&L processes and reporting efficiency
• Support the implementation and optimization of financial systems and tools

Tax Forecasting & Strategy (Approx. 40%):

• Maintain and enhance quarterly tax forecasting and estimation processes
• Develop reporting to track partner allocations over time and ensure alignment between taxable income and cash distributions
• Support process improvements through automation and best practices to enhance accuracy and efficiency

COMPETENCIES:

• Strong analytical and modeling capabilities with the ability to synthesize complex financial data into actionable insights.
• Excellent communication skills and comfort working with executives and third-party service providers.
• High attention to detail with a demonstrated ability to manage multiple projects simultaneously.
• Strong leadership presence, with the ability to work independently and within cross-functional teams.
• Proactive and adaptable in a fast-paced, evolving environment.

REQUIREMENTS/QUALIFICATIONS:

• Bachelor’s degree in accounting, Finance, Economics, or a related field; CPA, CFA, or advanced degree preferred.
• 3–6 years of experience in tax and/or FP&A, preferably in the private equity or broader financial services industry.
• Proven experience with corporate and partnership tax concepts and IRS compliance.
• Advanced Microsoft Excel skills required, and financial modeling experience strongly preferred.
• Familiarity/Nice to have with financial and reporting systems such as NetSuite, Investran, Anaplan, Concur, SQL, and Snowflake.

This role will interview candidates for both our Boston and New York offices. 

For New York City only: The base salary range for this position is $110,000- $150,000. The base salary range represents the estimated low and high end for this position at the time of this posting. Consistent with applicable law, compensation may vary and will be determined based on but not limited to, the skills, qualifications, and experience of the applicant along with the requirements of the position, and Audax reserves the right to modify this pay range at any time. An employee may also be eligible for annual discretionary incentive compensation based on performance.

Audax offers a wide range of employee benefits, including health insurance, life insurance, disability insurance, paid time off (including sick leave, parental leave, volunteer leave, and vacation), charitable donation match, family support services (including Bright Horizons and Benefit Advocate Center), and a 401(k) in addition to other benefits.