POS-9034

About the Team

Commerce Hub is building the backbone for businesses to sell, bill, get paid, and manage revenue inside HubSpot. Our systems handle billions of dollars in transactions for our customers, so correctness, clarity, and predictability matter. We’re creating an AI-first commerce platform that’s deeply integrated with HubSpot’s CRM - simple, consistent, and extensible across every part of the seller and buyer experience.

About the Role

We’re looking for a Principal Software Engineer to help shape the technical future of Commerce Hub. This is a very hands-on role. You’ll write code, dive into services, review tough designs, debug messy systems, and directly own the architecture behind some of the most critical surfaces in CPQ, Billing, Payments, and Revenue OS.

What You’ll Do

Build a simple, consistent, extensible platform

• Shape the technical roadmap across CPQ, Billing, and Payments with strong, opinionated patterns.
• Define and evolve core domain models so pricing, products, contracts, invoices, and payments behave predictably everywhere.
• Create frameworks that make the platform easy to extend without adding complexity.

Be a deeply hands-on, high-leverage builder

• Write code regularly. Lead design reviews and build high-impact systems end-to-end.
• Own large multi-team initiatives that span CPQ, Billing and Payments.
• Take prototypes to production at scale.

Lead architectural direction

• Set patterns for extensibility, contract boundaries, financial correctness, event-driven consistency, and how AI/agents safely interact with commerce objects.
• Push for simplicity where the domain wants to get complicated, and consistency where surfaces can drift.

Partner deeply with product leadership

• Influence product strategy across CPQ, Buyer Portal, and Revenue OS.
• Help teams make clear tradeoffs between speed, correctness, compliance, and long-term platform health.

Raise the bar across the org

• Mentor senior engineers and tech leads.
• Drive thoughtful design decisions and guide learnings from incidents and large migrations.
• Help teams align on patterns that reduce complexity and increase reliability.

What You Bring

• Proven experience building and scaling distributed systems with strict correctness requirements.
• Background working with complex state machines, financial flows, or high-integrity data models.
• Strong architectural instincts with a bias toward simplicity, consistency, and well-defined boundaries.
• The ability to work horizontally across many teams and get alignment on platform patterns.
• A habit of turning ambiguity into clear plans and working software—and staying hands-on every step of the way.

POS-9034

About the Team

Commerce Hub is building the backbone for businesses to sell, bill, get paid, and manage revenue inside HubSpot. Our systems handle billions of dollars in transactions for our customers, so correctness, clarity, and predictability matter. We’re creating an AI-first commerce platform that’s deeply integrated with HubSpot’s CRM - simple, consistent, and extensible across every part of the seller and buyer experience.

About the Role

We’re looking for a Principal Software Engineer to help shape the technical future of Commerce Hub. This is a very hands-on role. You’ll write code, dive into services, review tough designs, debug messy systems, and directly own the architecture behind some of the most critical surfaces in CPQ, Billing, Payments, and Revenue OS.

What You’ll Do

Build a simple, consistent, extensible platform

• Shape the technical roadmap across CPQ, Billing, and Payments with strong, opinionated patterns.
• Define and evolve core domain models so pricing, products, contracts, invoices, and payments behave predictably everywhere.
• Create frameworks that make the platform easy to extend without adding complexity.

Be a deeply hands-on, high-leverage builder

• Write code regularly. Lead design reviews and build high-impact systems end-to-end.
• Own large multi-team initiatives that span CPQ, Billing and Payments.
• Take prototypes to production at scale.

Lead architectural direction

• Set patterns for extensibility, contract boundaries, financial correctness, event-driven consistency, and how AI/agents safely interact with commerce objects.
• Push for simplicity where the domain wants to get complicated, and consistency where surfaces can drift.

Partner deeply with product leadership

• Influence product strategy across CPQ, Buyer Portal, and Revenue OS.
• Help teams make clear tradeoffs between speed, correctness, compliance, and long-term platform health.

Raise the bar across the org

• Mentor senior engineers and tech leads.
• Drive thoughtful design decisions and guide learnings from incidents and large migrations.
• Help teams align on patterns that reduce complexity and increase reliability.

What You Bring

• Proven experience building and scaling distributed systems with strict correctness requirements.
• Background working with complex state machines, financial flows, or high-integrity data models.
• Strong architectural instincts with a bias toward simplicity, consistency, and well-defined boundaries.
• The ability to work horizontally across many teams and get alignment on platform patterns.
• A habit of turning ambiguity into clear plans and working software—and staying hands-on every step of the way.

POS-4092

About the team

HubSpot’s Data Hub helps RevOps, marketing, sales, and customer teams turn fragmented data into actionable intelligence. We unify data across channels and tools, improve data quality, and activate it inside HubSpot so teams can run AI-powered demand generation, smarter campaigns and sales motions, agentic automations, trustworthy reporting, all without needing to be data experts.

We’re a product engineering team at the intersection of data engineering, ML, applied AI, and go-to-market, and we care as much about reliability, cost, and scale as we do about time-to-value and usability for marketers and sales reps.

About the role

We’re looking for a Principal Software Engineer to lead the next evolution of Data Hub as the backbone for data-driven demand generation.

In this role, you’ll:

• Own core pieces of our data lake and analytics stack (e.g., Iceberg, Spark, batch and streaming pipelines) that power demand gen, segmentation, and scoring at scale.
• Design and evolve data systems that balance cost, latency, data freshness, and reliability, making explicit tradeoffs using concepts like CAP theorem, efficient partitioning, and storage layout.
• Partner closely with PM, product analytics, and GTM leaders to shape commercially meaningful solutions: better lead scoring, funnel visibility, audience building, and campaign attribution for marketers and sales.
• Help make Data Hub an AI‑agent‑forward platform, where curated, evergreen datasets automatically feed AI agents and reporting surfaces rather than requiring manual stitching or ad-hoc pipelines.

Principal Engineers at HubSpot are expected to be hands-on builders, strong partners to product and design, and multipliers for the broader engineering organization.

Key expectations:

Technical skills & domain expertise

• Data engineering & storage: Deep experience building large‑scale data systems with Apache Spark and modern table formats like Apache Iceberg, including efficient partitioning, clustering, and file layout for both heavy ingestion and low‑latency reads.
• Distributed systems & tradeoffs: Applies distributed systems principles and CAP theorem pragmatically to design fault‑tolerant, horizontally scalable services that balance availability, consistency, latency, and cost, where it matters.
• Business outcomes: Can turn ambiguous business goals into clear data models, contracts, and SLAs across multiple storage and compute layers (e.g., Iceberg, warehouses, logs, CRM stores).

As a Principal Engineer, you will:

• Own platform-scale outcomes:  Influence technical direction across the Data Hub product line and shape the architecture for unified profiles, segmentation, and datasets that other teams can build on.
• Be a high-leverage, hands-on builder: Write code and build systems while leading end-to-end delivery of high-impact, multi-quarter initiatives, setting standards for reliability, observability, testing, and incident response.
• Lead through architecture and influence:  Define reusable patterns for ingestion, transformation, quality, sync, and observability, mentor senior engineers and tech leads.

Software development excellence & AI

• Use AI code agents:  Actively use AI-assisted development tools to speed iteration, reduce toil (e.g., scaffolding, tests, refactors), and improve code quality, while defining best practices with the human‑in‑the‑loop approach.
• Champion incremental, outcome-focused delivery:  Break down big, ambiguous problems into incremental milestones that deliver value early and often, balancing long-term platform bets with clear business impact (ARR, adoption, usage, efficiency).
• Raise the bar on engineering practices:  Model strong habits around documentation, design reviews, testing, and observability, and help establish reliability and data quality standards so downstream AI agents and data activation use cases can trust the data they receive.

If you enjoy working at the intersection of data engineering, ML, applied AI, and commercial outcomes, and you like building platforms that make complex data approachable for non-experts, we’d love to talk.

POS-31595

 About the Team

The Notetaker team is building the intelligence layer for live customer conversations. Their mission is to make it effortless for front-office teams to win every meeting and call—across video and voice.

The team owns the full lifecycle of a live conversation: capturing and transcribing conversations with high accuracy, streamlining meeting setup and preparation through deep calendar and workflow integrations, and turning raw dialogue into clear, actionable outcomes. By combining best-in-class transcription with adaptive summaries, follow-ups, and conversation intelligence, Notetaker lets teams focus on the human moment while the system handles everything around it.

About the Role

We’re seeking a Principal Software Engineer to play a pivotal role in shaping the technical future of Notetaker. This role sits at the intersection of real-time systems, distributed infrastructure, and applied AI.

As a Principal Engineer, you will define how live audio/video, transcription, and GenAI-powered insights come together into a reliable, low-latency, production system. You’ll help the team move fast without breaking trust—shipping features that feel magical to users while remaining robust under real-world conditions.

Key Expectations

• Architect real-time conversation systems: Define patterns for ingesting, processing, and storing live audio and video data with high accuracy and low latency.
  
  
• Hands-on, high-impact delivery: Write production code, lead major initiatives, and own critical systems end-to-end.
  
  
• GenAI in the loop: Shape how transcription, summarization, and conversation intelligence models integrate into live and post-call workflows.
  
  
• Reliability and trust at scale: Drive decisions around observability, correctness, privacy, and failure modes in non-deterministic systems.
  
  
• Product and UX sensitivity: Partner with Product and Design to ensure technical decisions support clarity, usefulness, and user trust.
  
  
• Cross-functional influence: Work closely with Calendar, Calling, CRM, and AI teams to align on shared primitives and patterns.
  
  
• Org-level multiplier: Mentor senior engineers, influence architectural standards, and help the org build better real-time and AI-powered systems.
  
  

What You Bring

• Deep experience building distributed systems with real-time or near-real-time constraints.
• Familiarity with audio/video pipelines, streaming systems, or event-driven architectures.
• Practical experience applying GenAI to user-facing products, especially summarization, classification, or insight generation.
• Strong judgment around tradeoffs between speed, quality, cost, and correctness.
• A bias for action: you prefer working systems over perfect abstractions, and you stay hands-on through delivery.

POS-32567

Application deadline: 5pm ET Friday 5/8

About the role

The Salesforce Competitive Expert is a senior, customer-facing specialist who owns HubSpot’s competitive strategy against Salesforce in our most complex, upmarket CRM evaluations and rip-and-replace motions. You’ll operate as a highly autonomous, intrapreneurial leader within PreSales, managing your own book of strategic deals while building the playbooks, assets, and enablement that help HubSpot systematically win more Salesforce competes and drive NNARR.

What you’ll do

• Act as the lead Salesforce competitive expert on qualified strategic deals—joining discovery, technical validation, and executive meetings to de-risk decisions and secure tech wins against Salesforce.
• Own and continuously evolve the Salesforce Competitive Playbook, codifying winning narratives, talk tracks, demo strategies, and “assertive selling” motions for Salesforce rip-and-replace and net-new CRM evaluations.
• Partner with Account Executives, core SEs, and implementation partners to design solution blueprints, migration paths, and TCO/ROI cases that build unshakable confidence in choosing HubSpot over Salesforce.
• Deliver scalable enablement for Sales, PreSales, and partners (training, battlecards, assets) that elevates our collective ability to compete and increases win rates on Salesforce deals.
• Serve as the central feedback loop from the field to Competitive Intelligence, Product, and Marketing, surfacing patterns from wins/losses and informing roadmap and GTM strategy.
• Proactively analyze pipelines to prioritize high-impact opportunities, manage your own bandwidth, and protect capacity in line with Expert Program guardrails.

What you’ll bring

• Deep Salesforce expertise (must-have): Extensive, hands-on Salesforce experience (e.g., Admin / Sales Cloud configuration, implementation, or architecture) with certified-level depth and the ability to “speak admin to admin.”
• HubSpot & operator credibility: Strong HubSpot CRM fluency plus real-world operator experience using HubSpot to drive business outcomes, enabling you to translate between both ecosystems with empathy and authority.
• Autonomy & business ownership: Proven track record of working independently, managing your own portfolio of complex deals, and building new processes/playbooks from scratch in ambiguous, high-stakes environments.
• Competitive, strategic mindset: You think several moves ahead, love deconstructing competitor strategies, and can reframe “Salesforce as the safe choice” into a compelling case for HubSpot through narrative, TCO, and technical validation.
• Executive presence & communication: Comfort engaging technical stakeholders and C‑level executives, simplifying complex concepts, and driving clear, confident decisions in the room.
• Innovative, system-builder orientation: You’re passionate about helping HubSpot win upmarket and naturally turn one-off deal work into reusable assets, frameworks, and enablement that scale across regions and specialties.

Philo: a streaming service for TV and movie lovers

At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences.

Data at Philo

Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows and improve user journeys; and making it effortless for our users to find the perfect thing to watch. Philo serves over a billion streams to its users every year, generating a wealth of data that we leverage at all levels of the organization. Philo's data platform operates at a very large scale, processing trillions of events annually in a petabyte-scale data lake and supporting thousands of data workflows and analytical queries that power decision-making across the company.

Philo's Data Engineering team encompasses both data engineering and analytics engineering. As an analytics engineer at Philo, you'll own the data modeling layer that turns raw event and application data into the clean, trusted data products the entire company relies on — from metric definitions and dimensional models to the governed semantic layer that ensures everyone is looking at the same numbers. You'll work closely with data scientists, analysts, and business stakeholders across the organization to understand their analytical needs and translate them into well-modeled, well-documented, and performant data products in dbt and Snowflake.

We are passionate about providing a high-quality, trustworthy data platform for the entire company, using both cutting-edge technologies and proven engineering practices in close collaboration with every department. Our analytics engineering stack centers on dbt and Snowflake, supported by tools like Segment, Avo, and BigEye for event tracking, data quality, and observability.

Some of the recent projects that analytics engineers at Philo have worked on include building new models for key financial data, dbt model design and refactoring, metric definition and governance, per-query cost optimization in Snowflake, and developing data quality testing and documentation frameworks.

The Role

We're looking for a Senior Analytics Engineer to own and elevate the data modeling layer that powers decision-making across Philo. In this role, you'll be the person who transforms raw, messy application and event data into clean, trusted, well-documented data products that the entire company relies on. You'll design and maintain dimensional models, define and govern key business metrics, and ensure semantic consistency across our data stack — so that when someone asks "what does this number mean?", there's always a clear, reliable answer.

This is a high-impact IC role: you'll partner directly with stakeholders across Finance, Product, Marketing, Ad Sales, and Engineering to deeply understand their analytical needs and translate them into scalable, performant dbt models and data products. You'll also work closely with the data engineering side of the team to ensure the underlying infrastructure supports your modeling work, and with analysts and data scientists to make sure the data you deliver is easy to use, well-tested, and trustworthy.

The ideal candidate has strong opinions about how analytics engineering should be done — how to structure a dbt project, when to denormalize, how to manage slowly changing dimensions, how to build a metric layer that people actually trust — and the experience to back those opinions up.

Responsibilities:

• Design, build, and maintain Philo's core dimensional models and data marts in dbt, serving as an owner of the analytics engineering layer of our data stack
• Define and govern key business metrics and KPIs, ensuring consistent definitions and reliable calculations across all downstream reporting and analytics
• Partner with stakeholders across the organization (Finance, Product, Marketing, Ad Sales, Content, and others) to understand their data needs and translate business questions into well-modeled, performant data products
• Establish and enforce best practices for dbt project structure, model design patterns, documentation, and testing — raising the quality bar for analytics engineering at Philo
• Build and maintain comprehensive data documentation and a data catalog so that analysts, data scientists, and business users can confidently self-serve
• Implement and maintain data quality checks and monitoring (e.g., via dbt tests, BigEye, or similar tools) to proactively catch issues before they reach stakeholders
• Optimize query performance and warehouse cost efficiency in Snowflake through thoughtful model design, materialization strategies, and incremental processing patterns
• Collaborate with data engineers on pipeline design and data ingestion to ensure raw data lands in forms that support clean, efficient downstream modeling
• Drive alignment across teams on data definitions, naming conventions, and a single source of truth — building stakeholder trust in data and reporting over time
• Contribute to the evolution of Philo's overall data platform strategy, particularly as it relates to the semantic/metric layer, data governance, and analytics engineering tooling

Key Qualifications:

• 8+ years of professional experience in analytics engineering, data modeling, or a closely related role, with significant hands-on experience building and maintaining production dbt projects or a similar data transformation tool
• Deep expertise in SQL and dbt, including advanced model design patterns (dimensional modeling, incremental models, slowly changing dimensions, and snapshot strategies)
• Experience developing in a BI tool that leverages semantic layers, such as Mode, Looker, Omni, SSAS Cubes, or similar
• Strong experience with Snowflake or a comparable cloud data warehouse, including performance tuning and cost optimization
• Proven ability to translate ambiguous business questions into clean, well-structured data models that stakeholders trust and rely on
• Experience defining, governing, and maintaining business metrics and KPIs across an organization
• Strong communication skills — you can explain data modeling decisions to a VP of Finance just as clearly as to a fellow engineer
• A strong sense of ownership and quality: you care deeply about data accuracy, documentation, testing, and making the data stack better over time
• Experience working with data quality and observability tools (e.g., BigEye, Elementary, dbt tests, Great Expectations, or similar)

Ideal Qualifications:

• Experience in the media, streaming, or entertainment industry, with familiarity with video delivery analytics, content performance metrics, or advertising data
• Familiarity with event tracking design and tools like Segment or Avo
• Experience with Apache Iceberg, Spark, or other large-scale data processing frameworks
• Familiarity with data governance frameworks and building organizational alignment around a single source of truth
• Experience mentoring junior analytics engineers or analysts

More about Philo

At Philo, we're a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture.

We're committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We're committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email recruiting@philo.com and we'll work with you to meet your needs.

Philo offers 70+ top-rated networks streaming live and on-demand, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast.

Philo is headquartered in San Francisco, with offices in New York City and Cambridge, MA. Our leadership team includes alums from HBO, Tubi, and Meraki, and is backed by NEA and industry partners like Warner Brothers Discovery, Viacom, AMC, and A&E.

Join us at Philo and be part of a team that's shaping the future of TV!

Status: Full-time
Location: San Francisco, CA, Brooklyn, NY, Cambridge, MA, or remote within the U.S.
Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location:

• San Francisco, New York City: $170K - $205K
• Boston, DC Metro, Los Angeles, Seattle: $160K - $195K
• Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $155K - $185K
• Texas, Florida: $145K - $175K

We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:

• Full health, dental and vision coverage for you and your family
• 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay)
• Flexible working hours
• Up to 20 weeks of fully paid parental leave
• Unlimited paid time off for vacation and sick leave
• $2,000 annual vacation bonus (we pay you to take a two week vacation)
• $5,250 annually for professional development and educational assistance
• $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter)
• $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco)
• Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps
• Dog-friendly office
• And much more!

For California Residents: Philo's CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.