POS-31594

About the Group

The AI Context group builds the foundation for AI-powered experiences across HubSpot. We mine, curate, and reconcile facts about our customers, their customers, and their business processes to supercharge every customer experience.

We operate on large and diverse data:

• Our context platform digests billions of events, calls, chats, emails, and other unstructured documents to keep our views on our customers’ businesses up to date and actionable
• The platform is not a single pipeline, but a full ecosystem of ingestion pipelines, storage layers, synchronization systems, AI/ML data infrastructure, and developer frameworks to power the next generation of intelligent, extensible AI features.

About the Role

We’re looking for a Principal Software Engineer to play a defining role in this platform’s future. This individual will have a proven track record of delivering projects with significant product-line or company-level impact, often in ambiguous or complex technical environments. They move across domains with ease, challenge existing assumptions, and redefine what’s possible through deep architectural thinking and strong execution.

At HubSpot, Principal Engineers are not only technical strategists but builders: trusted with end-to-end delivery of complex initiatives. This engineer will help shape the technical direction of a critical strategic differentiator for HubSpot and industry standards for a critical component in the emerging AI stack – the context layer.  

Key Expectations

• Platform-scale ownership: Helps influence/drive technical direction across the entire AI context group. You’ll work across ingestion, processing, storage, sync, reliability, and intelligence surfaces.
• AI/ML Fluency: our group is made of world class experts in machine learning and AI and we help power AI experiences across HubSpot. The depths of your skill and expertise will be tested internally by our systems and externally by our partners. 
• Hands-on, high-leverage contributor: You ship software—not just prototypes. We expect deep technical engagement in the systems you influence, including ownership of large, high-impact initiatives.
• Distributed systems expertise: You’ve operated and evolved large-scale, fault-tolerant, cost-efficient systems. You’re comfortable scaling across billions of events per day and guiding design around availability, throughput, and latency.
• Architectural leadership: You define and drive reusable platform patterns across ingestion, processing, quality, sync, and observability.
• Strategy alignment: You align platform architecture with HubSpot’s CRM, AI/ML, and extensibility goals, ensuring infrastructure enables product evolution—not constrains it.
• Technical mentorship & leadership: You’re recognized as a mentor and multiplier. Others seek your input for design reviews, incident postmortems, and architectural bets.
• Cross-functional influence: You partner with product and engineering leadership to define strategy, scope opportunities, and execute for product-line-wide outcomes.
• Rapid domain acquisition: You move into unfamiliar areas quickly and meaningfully contribute—whether it’s a new tech stack, domain model, or organizational challenge.
• Internal and external impact: You elevate HubSpot’s brand, help attract and retain senior talent, and share your knowledge across the company.

POS-23538

At HubSpot, we’re on a mission to help millions of organizations grow better. Our platform is used by businesses worldwide to manage their marketing, sales, service and operations — and under the hood, our product is built to be flexible, secure and empowering for both our customers and our own engineering teams. We believe in autonomy, curiosity and building a workplace where everyone can thrive.

Meet the team: Messaging Strategy Frontend (Messaging Product Group)

The Messaging Product Group builds the apps and infrastructure behind marketing Email, SMS and WhatsApp in HubSpot. We work at a serious scale, powering billions of messages per month. We focus on building reliable systems while continuously innovating the product to help our customers achieve better outcomes.

Messaging Strategy Frontend builds the core customer-facing experiences that marketers use every day to create, manage and publish marketing emails and SMS. This is where marketers plan campaigns, iterate on content and make decisions that directly impact their results, across journeys that need to scale and adapt as customers grow with HubSpot.

As a Tech Lead II, you’ll be a player-coach for this space, setting technical direction, shaping product execution and helping a small team deliver high-quality experiences that marketers rely on every day.

What You’ll Do

• Lead a high-impact frontend team building and evolving the core Marketing Email and SMS management experiences (dashboards, creation flows, send/review UIs, experimentation and related onboarding surfaces).
• Contribute high-quality React/TypeScript code while guiding architectural decisions, reviewing designs and unblocking others.
• Own technical strategy for the team’s frontend surface area, including modular architecture, design system usage and cross‑app/library boundaries across Messaging.
• Partner in the leadership triad (with Product Management and Product Design) to set goals, sequence work and make trade‑offs that balance customer impact, reliability and iteration speed.
• Drive medium-to-large, multi-quarter initiatives end-to-end, from problem definition and technical proposals through implementation, rollout and measurement.
• Champion reliability and service maturity for our frontend applications. Define SLIs/SLOs, improve performance (bundle size, latency) and keep the app inside our targets.
• Mentor and grow engineers on the team through design reviews, code reviews, pairing and 1:1s, providing clear and actionable feedback.
• Collaborate closely with backend and infra teams across Messaging to design reliable, observable front-to-back solutions that scale across channels.
• Help define and uphold engineering best practices across testing, accessibility, telemetry, experimentation and on-call for our frontend services.
• Play an active role in hiring and onboarding new engineers and in representing HubSpot’s values and HEART culture throughout the interview process.

What you’ll bring

• Deep frontend engineering experience (typically 7+ years) building complex, user‑facing web applications with technologies like React, TypeScript and modern JS tooling, ideally at SaaS scale.
• A proven track record as a technical lead or senior engineer leading at least 2–3 medium‑to‑large projects from design through production, with clear customer or business impact.
• Strong system design and architectural skills in the frontend, with the ability to break down ambiguous product problems, design clear interfaces and boundaries and make pragmatic trade-offs between speed and robustness.
• Experience leading a small team or pod as a player-coach, setting direction, coordinating work and helping others grow while still contributing meaningfully to the codebase.

• A strong sense of ownership over reliability and quality. You’re comfortable digging into performance issues, production incidents and test flakiness and driving them to resolution.
• Excellent cross functional communication skills with the ability to explain technical decisions to engineers and non engineers, write clear documentation and drive alignment across teams and time zones.
• A customer‑ and product‑oriented mindset. You’re motivated by improving marketers’ real workflows (not just shipping features) and you use data and feedback to inform decisions.

Nice to Have

• Experience in marketing technology, messaging, or communications products (email, SMS, WhatsApp, or similar).
• Background working on large-scale, multi‑surface products where multiple UIs share libraries, design systems and infrastructure.
• Experience with performance optimization (bundle size, lazy loading, caching strategies) and service maturity / SLO‑driven development.
• Comfort working in environments with experimentation and AI‑powered workflows, or interest in learning quickly in this space.
• Prior experience in mentoring and developing senior engineers and in collaborating closely with EMs/TLs on promotions, feedback and growth plans.

This role can be Office/Hybrid/Remote based within Ireland

We’re looking to add a Staff Software Engineer to join the Engage Product Group in Flywheel Product Line. 

Engage Product Group mission is to reinvent HubSpot GTM Sales teams by supercharging our sales reps with world-class AI to help them hit and exceed plans. We build, evolve and maintain sophisticated AI products that meaningfully increase closed won rates by qualifying inbound leads with AI, providing intelligent insights and coaching, and generate highly-customized demo instances for every HubSpot prospect using multi-agent systems.

For this specific role, we are building a reusable, reliable, and intelligent context layer for GTM AI and agents. Our goal is to centralize insight storage, search, and retrieval; enabling faster experimentation; improving insight quality through evaluation and versioning; and powering flagship agents and guided experiences with consistent, high-quality context. 

Staff Software Engineers are highly productive, impactful, and trusted engineers who leverage their skills and knowledge to work autonomously on the most complex projects and set technical direction. These problems can be broad, deep, and often span across multiple teams and product areas. Context will be your primary focus for the next few months, but we expect that you will deploy to other teams in the group over time as well.

As a Staff Software Engineer on Engage Context team you will:

• Write and ship production code that has meaningful business and GTM impact
• Disambiguate, design and build new AI features, agents and insights, each contributing to GTM efficiency and user or prospect experience
• Work with a small cross-functional teams of product engineers, ML engineers, PMs and designers
• Collaborate with HubSpotters and GTM folks all over the company
• Get deep exposure to how HubSpot GTM works

We’re looking for engineers who have a track record of strong business and product mindset, who enjoy working with real GTM challenges and can navigate ambiguity with high levels of autonomy and passion.

We work with Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out our engineering blog to learn more.

What we’d like to see:

• Experience in building AI products, especially but not only in GTM context, with a track record of tackling evaluations and innovation on top of frontier models advances.
• Experience in building products used by GTM teams - sales or service - and drive for using technology to drive business outcomes.
• Experience working closely with product management, designers and GTM teams, to help disambiguate problems, opportunities and co-create a solution.
• A passion for clean, scalable code and engineering excellence.
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall product architecture.
• Coaching and mentorship experience.

This role can be Office/Hybrid/Remote based within Ireland

We’re looking to add a Staff Software Engineer to join the Engage Product Group in Flywheel Product Line. 

Engage Product Group mission is to reinvent HubSpot GTM Sales teams by supercharging our sales reps with world-class AI to help them hit and exceed plans. We build, evolve and maintain sophisticated AI products that meaningfully increase closed won rates by qualifying inbound leads with AI, providing intelligent insights and coaching, and generate highly-customized demo instances for every HubSpot prospect using multi-agent systems.

For this specific role, we are building a reusable, reliable, and intelligent context layer for GTM AI and agents. Our goal is to centralize insight storage, search, and retrieval; enabling faster experimentation; improving insight quality through evaluation and versioning; and powering flagship agents and guided experiences with consistent, high-quality context. 

Staff Software Engineers are highly productive, impactful, and trusted engineers who leverage their skills and knowledge to work autonomously on the most complex projects and set technical direction. These problems can be broad, deep, and often span across multiple teams and product areas. Context will be your primary focus for the next few months, but we expect that you will deploy to other teams in the group over time as well.

As a Staff Software Engineer on Engage Context team you will:

• Write and ship production code that has meaningful business and GTM impact
• Disambiguate, design and build new AI features, agents and insights, each contributing to GTM efficiency and user or prospect experience
• Work with a small cross-functional teams of product engineers, ML engineers, PMs and designers
• Collaborate with HubSpotters and GTM folks all over the company
• Get deep exposure to how HubSpot GTM works

We’re looking for engineers who have a track record of strong business and product mindset, who enjoy working with real GTM challenges and can navigate ambiguity with high levels of autonomy and passion.

We work with Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out our engineering blog to learn more.

What we’d like to see:

• Experience in building AI products, especially but not only in GTM context, with a track record of tackling evaluations and innovation on top of frontier models advances.
• Experience in building products used by GTM teams - sales or service - and drive for using technology to drive business outcomes.
• Experience working closely with product management, designers and GTM teams, to help disambiguate problems, opportunities and co-create a solution.
• A passion for clean, scalable code and engineering excellence.
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall product architecture.
• Coaching and mentorship experience.

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-31662

Role Summary

HubSpot is building the next generation of AI experiences across our go-to-market products. We’re hiring a Senior Machine Learning Engineer II to join the Flywheel Context (Contacts) team, where you’ll build the context platform layer that powers accurate, high-performing AI assistants and agents.

This is a backend-leaning ML engineering role focused on shipping production software—designing systems that help other engineering teams retrieve relevant facts, manage long/complex context, and evaluate quality at scale. If you love building durable platforms (not just prototypes), this role is for you.

What You’ll Do

• Design, build, and operate backend services that power context retrieval and enrichment for AI assistants and agents.

• Build platform capabilities for storing, searching, and retrieving “insights” and relevant facts across HubSpot’s GTM data.

• Develop systems to manage and compress context when it gets large (e.g., long contact histories, high-volume CRM data).

• Create tooling that allows other engineering teams to ship assistants/agents faster, with consistent APIs and reusable primitives.

• Build and maintain evaluation and measurement approaches (offline evals, golden datasets, automated metrics, human review loops) to ensure context quality and answer accuracy.

• Collaborate closely with sister platform teams and downstream product engineering teams (your “customers”) to integrate platform capabilities into real experiences.

• Own end-to-end delivery: architecture, implementation, observability, performance, reliability, and iteration.

Required Qualifications

• Strong track record shipping production backend systems as a senior engineer (ownership from design to delivery).

• Professional Java experience building maintainable, testable services in production (this is core to the role).

• Experience implementing ML workflows in production (e.g., retrieval/ranking pipelines, feature/data pipelines, model/embedding services, evaluation frameworks).

• Comfort working with data tooling and data-intensive systems (large datasets, pipelines, and service integrations).

• Experience operating software at meaningful scale (e.g., high throughput, significant data volume, performance and reliability constraints).

• Strong engineering fundamentals: system design, code quality, debugging, observability, and operational excellence.

Nice-to-Have Qualifications

• Experience with search/retrieval/relevance/ranking systems (highly aligned to context work).

• Experience with RAG-style systems, embeddings, vector search, or hybrid retrieval strategies.

• Familiarity with LLM evaluation patterns (golden sets, automated metrics, human review), hallucination mitigation, and quality measurement.

• Experience with distributed systems, event-driven architectures, or stream processing.

• Cloud/platform experience (e.g., Kubernetes, AWS/GCP) and running services in production.

• Some Python experience (useful, but not the primary language).

POS-23538

At HubSpot, we’re on a mission to help millions of organizations grow better. Our platform is used by businesses worldwide to manage their marketing, sales, service and operations — and under the hood, our product is built to be flexible, secure and empowering for both our customers and our own engineering teams. We believe in autonomy, curiosity and building a workplace where everyone can thrive.

Meet the team: Messaging Strategy Frontend (Messaging Product Group)

The Messaging Product Group builds the apps and infrastructure behind marketing Email, SMS and WhatsApp in HubSpot. We work at a serious scale, powering billions of messages per month. We focus on building reliable systems while continuously innovating the product to help our customers achieve better outcomes.

Messaging Strategy Frontend builds the core customer-facing experiences that marketers use every day to create, manage and publish marketing emails and SMS. This is where marketers plan campaigns, iterate on content and make decisions that directly impact their results, across journeys that need to scale and adapt as customers grow with HubSpot.

As a Tech Lead II, you’ll be a player-coach for this space, setting technical direction, shaping product execution and helping a small team deliver high-quality experiences that marketers rely on every day.

What You’ll Do

• Lead a high-impact frontend team building and evolving the core Marketing Email and SMS management experiences (dashboards, creation flows, send/review UIs, experimentation and related onboarding surfaces).
• Contribute high-quality React/TypeScript code while guiding architectural decisions, reviewing designs and unblocking others.
• Own technical strategy for the team’s frontend surface area, including modular architecture, design system usage and cross‑app/library boundaries across Messaging.
• Partner in the leadership triad (with Product Management and Product Design) to set goals, sequence work and make trade‑offs that balance customer impact, reliability and iteration speed.
• Drive medium-to-large, multi-quarter initiatives end-to-end, from problem definition and technical proposals through implementation, rollout and measurement.
• Champion reliability and service maturity for our frontend applications. Define SLIs/SLOs, improve performance (bundle size, latency) and keep the app inside our targets.
• Mentor and grow engineers on the team through design reviews, code reviews, pairing and 1:1s, providing clear and actionable feedback.
• Collaborate closely with backend and infra teams across Messaging to design reliable, observable front-to-back solutions that scale across channels.
• Help define and uphold engineering best practices across testing, accessibility, telemetry, experimentation and on-call for our frontend services.
• Play an active role in hiring and onboarding new engineers and in representing HubSpot’s values and HEART culture throughout the interview process.

What you’ll bring

• Deep frontend engineering experience (typically 7+ years) building complex, user‑facing web applications with technologies like React, TypeScript and modern JS tooling, ideally at SaaS scale.
• A proven track record as a technical lead or senior engineer leading at least 2–3 medium‑to‑large projects from design through production, with clear customer or business impact.
• Strong system design and architectural skills in the frontend, with the ability to break down ambiguous product problems, design clear interfaces and boundaries and make pragmatic trade-offs between speed and robustness.
• Experience leading a small team or pod as a player-coach, setting direction, coordinating work and helping others grow while still contributing meaningfully to the codebase.

• A strong sense of ownership over reliability and quality. You’re comfortable digging into performance issues, production incidents and test flakiness and driving them to resolution.
• Excellent cross functional communication skills with the ability to explain technical decisions to engineers and non engineers, write clear documentation and drive alignment across teams and time zones.
• A customer‑ and product‑oriented mindset. You’re motivated by improving marketers’ real workflows (not just shipping features) and you use data and feedback to inform decisions.

Nice to Have

• Experience in marketing technology, messaging, or communications products (email, SMS, WhatsApp, or similar).
• Background working on large-scale, multi‑surface products where multiple UIs share libraries, design systems and infrastructure.
• Experience with performance optimization (bundle size, lazy loading, caching strategies) and service maturity / SLO‑driven development.
• Comfort working in environments with experimentation and AI‑powered workflows, or interest in learning quickly in this space.
• Prior experience in mentoring and developing senior engineers and in collaborating closely with EMs/TLs on promotions, feedback and growth plans.

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-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.

This role can be Office/Hybrid/Remote based within Ireland

HubSpot is on the forefront of empowering businesses with cutting-edge AI, and our AI Infrastructure group is at the heart of this initiative. We are seeking a Staff level Software Engineer with a passion for infrastructure and developer experience to join our AI Serving team. The AI Serving team is part of AI Infrastructure and its goal is to own and operate HubSpot's model inference and serving infrastructure end-to-end, ensuring AI models are reliably deployed, scaled, observed, and cost-efficient across all hublets and environments, while also serving as the home for modern Python at HubSpot.

The team owns the serving frameworks and libraries that power synchronous, asynchronous, and offline inference, along with model deployment pipelines, autoscaling, and GPU/CPU resource management. The team's roadmap focuses on improving the reliability and efficiency of batch inference, strengthening model observability, and scaling AI infrastructure cost-effectively. The team also serves as the home for core Python libraries and tooling across HubSpot.

As a Staff Software Engineer on the AI Serving team you will:

• Write and ship production code that directly powers AI capabilities across HubSpot, a crucial building block for user and business impact at scale
• Lead the evolution of our model serving and inference infrastructure, improving reliability, scalability, and cost-efficiency
• Set technical direction for how HubSpot deploys and operates ML models at scale, guiding decisions on architecture, cost optimization, and developer experience
• Work closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving
• Gain deep exposure to a wide range of HubSpot infrastructure systems through building and maintaining core Python libraries, an excellent  opportunity to learn how HubSpot operates under the hood
• Collaborate with HubSpotters all over the company, whether in engineering, product, design, research, marketing, sales, etc, gaining exposure to how HubSpot works as a business
• Be empowered to show up as your authentic self and choose a work style and location where you can do your best work, whether that's at home, in an office, or a blend of the two

We're not just looking for engineers with many years of experience. Instead we're looking for engineers who also have a track record of unique excellence, leadership, and leveling up those around them.

We work with Python and Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out our engineering blog to learn more.

What we'd like to see:

• A proven track record of directly contributing to and leading infrastructure projects at scale, ideally in serving, deployment, or platform engineering
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall platform architecture
• The ability to work effectively across teams, driving technical initiatives spanning multiple groups within AI Infrastructure and beyond
• Comfort with ambiguity: you can take on broad, cross-team problems and drive them to resolution without waiting for every detail to be specified
• Coaching and mentorship experience
• A track record in partnering successfully with recruiting to build remarkable engineering teams
• Bonus: Python expertise. Experience with Python tooling, libraries, and developer experience is a strong plus, given the team's role in stewarding Python across AI workloads at HubSpot

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply. We'd love to hear from you.

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.

Director of Engineering, Data Infrastructure

Role Summary

Our mission at HubSpot is to help millions of organizations grow better. The Data Infrastructure group powers that mission by delivering fast, reliable product experiences at scale for hundreds of thousands of users. As Director of Engineering, you’ll lead a critical organization focused on core data systems and processing, shaping the infrastructure that enables 170+ product teams to build and scale with confidence. You’ll define the technical vision and guide teams building the foundation of HubSpot’s platform.

What You’ll Do

1. Lead a high-impact organization of ~35 engineers, directly overseeing three Engineering Leaders and one Tech Lead across HBase, Processing (Kafka/Streaming), MySQL/Vitess, and Caching & Coordination.
2. Drive technical vision by defining the roadmap for core data stores (HBase, MySQL/Vitess) and processing engines (Kafka, Streaming, Batch) to meet the demands of a business scaling to 100 billion messages a day.
3. Enable 170+ autonomous product teams to leverage datastores-as-a-service with simplicity, speed, and reliability.
4. Pioneer agentic infrastructure by leading the shift toward an “agentic” model, where customers interact with intelligent agents to manage complex, high-risk systems.
5. Ensure strong data governance by leading compliance, privacy, encryption, and proactive risk management practices, including HIPAA-aligned standards.
6. Foster technical excellence by coaching and mentoring teams on high-level software design and technical strategy.
7. Collaborate cross-functionally to build strong relationships from individual contributors to executives, aligning infrastructure strategy with business needs.
8. Cultivate an inclusive, high-performing engineering culture that prioritizes innovation, reliability, and developer experience.

What You’ll Bring

Required Qualifications

• Deep technical expertise in data storage and processing at scale, with comfort engaging in architecture discussions across systems like HBase, Vitess, and Kafka.
• Proven leadership experience managing managers and scaling organizations of 30+ people.
• Strong track record of building trust, respect, and empathy while delivering clear, direct feedback.
• Strategic mindset with the ability to balance long-term technical reliability with product velocity.
• Experience shaping infrastructure platforms that support multiple teams at scale.
• Strong cross-functional collaboration and communication skills across technical and non-technical stakeholders.
• Commitment to fostering an inclusive team culture and growing diverse engineering teams.

Nice-to-Have Qualifications

• A strong interest or experience in integrating AI/ML into infrastructure (AIOps) to automate detection and response in high-risk data environments.
• Familiarity with regulated environments and data governance requirements.
• Experience working with cloud-native infrastructure (AWS, Kubernetes).

POS-31662

Role Summary

HubSpot is building the next generation of AI experiences across our go-to-market products. We’re hiring a Senior Machine Learning Engineer II to join the Flywheel Context (Contacts) team, where you’ll build the context platform layer that powers accurate, high-performing AI assistants and agents.

This is a backend-leaning ML engineering role focused on shipping production software—designing systems that help other engineering teams retrieve relevant facts, manage long/complex context, and evaluate quality at scale. If you love building durable platforms (not just prototypes), this role is for you.

What You’ll Do

• Design, build, and operate backend services that power context retrieval and enrichment for AI assistants and agents.

• Build platform capabilities for storing, searching, and retrieving “insights” and relevant facts across HubSpot’s GTM data.

• Develop systems to manage and compress context when it gets large (e.g., long contact histories, high-volume CRM data).

• Create tooling that allows other engineering teams to ship assistants/agents faster, with consistent APIs and reusable primitives.

• Build and maintain evaluation and measurement approaches (offline evals, golden datasets, automated metrics, human review loops) to ensure context quality and answer accuracy.

• Collaborate closely with sister platform teams and downstream product engineering teams (your “customers”) to integrate platform capabilities into real experiences.

• Own end-to-end delivery: architecture, implementation, observability, performance, reliability, and iteration.

Required Qualifications

• Strong track record shipping production backend systems as a senior engineer (ownership from design to delivery).

• Professional Java experience building maintainable, testable services in production (this is core to the role).

• Experience implementing ML workflows in production (e.g., retrieval/ranking pipelines, feature/data pipelines, model/embedding services, evaluation frameworks).

• Comfort working with data tooling and data-intensive systems (large datasets, pipelines, and service integrations).

• Experience operating software at meaningful scale (e.g., high throughput, significant data volume, performance and reliability constraints).

• Strong engineering fundamentals: system design, code quality, debugging, observability, and operational excellence.

Nice-to-Have Qualifications

• Experience with search/retrieval/relevance/ranking systems (highly aligned to context work).

• Experience with RAG-style systems, embeddings, vector search, or hybrid retrieval strategies.

• Familiarity with LLM evaluation patterns (golden sets, automated metrics, human review), hallucination mitigation, and quality measurement.

• Experience with distributed systems, event-driven architectures, or stream processing.

• Cloud/platform experience (e.g., Kubernetes, AWS/GCP) and running services in production.

• Some Python experience (useful, but not the primary language).

At HubSpot, security isn’t a checkbox—it’s fundamental to how we design, build, and operate our products. We’re looking for a Principal Software Engineer, Security to help define and deliver secure systems at scale: someone who writes production code, shapes architecture, and raises the bar on how security is engineered across HubSpot’s platform.

In this role, you’ll play a leading part in advancing HubSpot’s overall security posture, partnering across Product and Corporate Security to design and implement pragmatic, scalable security solutions. You’ll be a hands-on technical leader who moves comfortably between high-level strategy and deep hands-on production software development, enabling millions of customers to “Grow Better” with confidence.

If you’re motivated by protecting a large, distributed SaaS platform from emerging threats while empowering product teams to move quickly and safely, we’d love to talk.

About the team

HubSpot’s Security organization is responsible for security, privacy, and compliance across our cloud-based infrastructure and product surface area. Our mission is to provide world‑class secure platforms and guardrails that make the safest path also the easiest one for our engineers and customers.

You’ll work closely with Product, Infrastructure, Operations and Corporate Security to build defense‑in‑depth: from secure-by-default platform capabilities to resilient incident response and data protection, to a robust security program for emerging areas like AI.

Responsibilities

As a Principal Software Engineer, Security, you will:

• Lead the design and implementation of secure, scalable foundations (services, libraries, patterns, and platforms)  developing the software that other HubSpot teams build on, raising the default level of security across the company with an easy-to-use paved path.
• Act as a trusted technical leader within your org, driving the development and improvement of secure software systems and influencing architectural decisions with a security mindset.
• Partner deeply with engineering and security teams (Product, Infra, Detection & Response, Compliance, etc.) to deliver practical, hands‑on solutions that mitigate real risks without sacrificing developer velocity.
• Translate organizational priorities into concrete security outcomes by defining technical direction, setting guardrails, and aligning roadmaps so that security is baked into the SDLC by default.
• Contribute production code and conduct deep design and code reviews, especially for high‑risk or foundational components, championing secure development practices and simplicity.
• Identify and assess security risks across multiple domains (application security, infrastructure, data security, detection, identity, and more), then design and drive implementation of controls and mitigations.
• Lead or play a key role in security incidents and CritSits: helping investigate, contain, and remediate issues; driving root‑cause analysis; and turning learnings into durable improvements in our systems, tooling, and processes.
• Serve as a point of contact and subject‑matter expert for security in your area, ensuring HubSpot’s products meet internal guardrails and external customer trust, compliance, and regulatory expectations.
• Help shape our approach to securing AI and emerging technologies, building and advocating for patterns that keep data and systems safe while enabling rapid innovation.
• Mentor and uplevel other engineers: sharing context, shaping designs, modeling great technical judgment, and contributing to the growth of security expertise across Product and Security teams.

Key Expectations

We’re looking for a hands‑on security engineer and technical leader with:

• 14+ years of experience in software development and information security building and operating production systems, with depth in at least one major security domain (e.g., application/product security, data security, infrastructure/cloud security, detection & response, or identity & access management).
• Proven experience designing and implementing foundational security capabilities in a cloud‑native environment (e.g., secure services, platform guardrails, policy and enforcement layers, or standardized security libraries).
• Strong grasp of modern security principles and architectures, such as Zero Trust, least privilege, continuous verification, and defense‑in‑depth, and the ability to apply them pragmatically in a large SaaS environment.
• Hands‑on experience with at least some of the following (or demonstrated ability to ramp quickly):
• Application and product security (secure coding, threat modeling, code review, abuse and fraud prevention)
• Data security and privacy engineering (encryption, key management, data classification, access patterns)
• Cloud and infrastructure security (AWS/Azure/GCP, containerization, network segmentation, secure configuration)
• Detection & response (alerting, telemetry, incident response, forensics)
• Identity, access, and authorization systems (authN/Z, policy engines, zero trust access patterns)
• Experience driving large, cross‑team initiatives: aligning stakeholders, breaking down complex problems, and leading projects from concept through rollout and iteration.
• Demonstrated ability to mentor and develop other engineers, and to influence technical direction beyond your immediate team through reviews, proposals, and thought leadership.
• Excellent communication skills, with the ability to explain complex security concepts clearly to both technical and non‑technical audiences, and to build strong, trust‑based relationships with partner teams.
• Commitment to continuous learning and staying current with evolving security threats, technologies, and best practices.
• Working knowledge of common security, privacy, and compliance frameworks (e.g., SOC 2, ISO 27001, NIST 800‑53, GDPR) and how to design systems that help us meet them at scale.

Nice to have (but not required):

• Experience securing AI/ML systems (workflows, training data, models, agents, and deployments) and mitigating AI‑specific threats.
• Experience leading large‑scale migrations or transformations (e.g., major infrastructure changes, authN/Z migrations, or data protection programs) with careful attention to customer impact and risk.
• Relevant industry certifications (e.g., CISSP, OSCP, CEH, cloud security or architecture specialties).

How you’ll work at HubSpot

• You will remain hands‑on, directly developing software, diving into technical details, and using AI‑powered development tools (e.g., GitHub Copilot, Claude, ChatGPT) to enhance productivity and code quality.
• You’ll be expected to model our Engineering Leadership Mission and embody HubSpot’s HEART and DI&B values, helping us build inclusive systems and teams that reflect and serve our diverse customer base.

POS-32107

Senior Engineering Manager, CRM Product Platform

Role Summary

Our mission at HubSpot is to help millions of organizations grow better. As a Senior Engineering Manager in the Product Platform Product Line, you’ll lead high-impact product areas that power how customers experience and scale with HubSpot’s CRM. You’ll guide multiple engineering teams building core surfaces used by more than a million users, while shaping the future of AI-powered product experiences. This role blends deep technical leadership with strong product thinking - driving both innovation and operational excellence.

What You’ll Do

• Lead and grow several engineering teams in HubSpot’s CRM Data Visualisation group, which powers the CRM Index Page and its table, board, gantt, calendar, and map views. You’ll deliver high-quality, scalable product experiences across HubSpot’s highest-traffic product surfaces.
• Partner closely with Product, Design, and cross-functional leaders to define and execute roadmap priorities.
• Drive the development and launch of AI Agents, AI-powered features, and AI driven insights that enhance customer value.
• Establish and uphold a high-performance engineering culture, including strong technical standards and accountability, performance management, and career development.
• Contribute hands-on technical leadership, guiding architecture and participating in critical technical discussions across the stack.
• Align teams to support broader CRM platform infrastructure and cross-hub initiatives.
• Navigate ambiguity and drive clarity, enabling teams to move quickly, experiment, and iterate effectively.

Required Qualifications

• Proven experience leading and scaling engineering teams (15+ engineers), including team leads and senior technical individual contributors.
• Strong product engineering background, with experience building and scaling SaaS products from early stages through high growth. You have experience shaping feature delivery from early stage validation, to late stage maturity.
• Demonstrated ability to lead full-stack product discussions and influence both frontend and backend architecture.
• Hands-on technical credibility with a track record of contributing to engineering decisions and mentoring teams.
• Experience driving high performance through goal setting, feedback, and performance management.
• Ability to operate effectively in ambiguous environments and make informed decisions without complete data.
• Strong cross-functional collaboration skills, with experience partnering across product, design, and engineering.
• Experience leveraging or integrating AI/GenAI into product development workflows or features.

Nice-to-Have Qualifications

• Experience working on high-scale customer-facing platforms or CRM systems.
• Background in both upmarket and downmarket product experiences.
• Experience building dynamic UI systems, modern frontend architectures, or production quality agentic experiences.

Where You’ll Work

• Location: United States
• Work location preference eligibility: Flexible (Remote, Hybrid, or Onsite)
• Travel/Shift: Some travel required for cross-functional collaboration and team alignment

POS-31593

About the Team

Service Hub is an AI-powered customer service solution that can deliver delightful support with unified customer insights. Service Hub has everything customers need to scale support, drive retention, and increase customer value — all in one place. This is a fast growing product line leveraging AI in a thoughtful way to create the tools needed for Human/AI hybrid teams to drive the best outcomes for customers.

About the Role

We’re looking for a Principal Software Engineer to help shape the technical future of Service Hub focusing primarily on Front End. This is a very hands-on role. You’ll write code, dive into applications, review tough designs, improve performance of real time tools, debug messy systems, and directly drive the architecture behind some of the most critical surfaces in our key products: Customer Agent, Helpdesk, Customer Success, and Omnichannel Platform.

Key Expectations

• Front-end Architectural Leadership for the whole product line, setting standards and creating tools and libraries for effective front-end development.
• Work with the platform Front-end as a Service (FaaS) group to ensure that problems are handled at the right level of abstraction to support developer productivity.
• Set the standard for performance and reliability ensuring that we have the metrics and monitoring to discover issues and solve them in a way that benefits all product groups in the product line.
• Hands-on, High-Leverage Contributor: You ship production code. You will lead the development of high-impact initiatives, moving from prototypes to production scale systems with ease..
• Technical Mentorship & Multiplier: You will elevate the entire engineering org. You’ll mentor senior engineers on best practices and techniques for creating responsive and delightful user interfaces.
• Cross-Functional Influence: Partner with Product, UX and UXR to discover and act on the biggest opportunities for improving our applications.
• Rapid AI Fluency: Willingness to learn and keep abreast of developments in AI both as a tool to speed up development and opportunities for creating better experiences for our customers.

What You Bring

• User-First Mindset: You have a track record of building products that people love. You advocate for the end-user in design reviews and are willing to pivot technical strategies if it means a better outcome for the customer.
• Proven Expertise in Frontend Systems: You have experience building very high usage, low-latency user interfaces with strict SLAs.
• Technical Proficiency: Deep expertise in the major Frontend architectural styles, and experience with key frameworks and languages for Frontend development.
• Systems Thinking: You think about problems from a systems perspective not just a single application or on Frontend. You must have the ability to partner with senior backend developers to come up with the best overall solution.
• A Bias for Action: You prefer a working prototype over a 20-page design doc. You have a habit of turning ambiguity into clear plans and working software.
• Product Intuition: You care about the "why" behind the "what." You understand the pain points of GTM professionals (especially service) and build technology that solves them.

HubSpot is looking for a talented Principal Software Engineer to shape and deliver secure, robust, and scalable identity and access solutions supporting our growing platform. In this pivotal org-impacting role, you will use your extensive hands-on engineering experience to drive secure software design, influence the technical direction of your organization, and implement best-in-class security practices. You’ll tackle challenging problems and partner closely with cross-functional peers, making a tangible impact on the safety and integrity of our products.

At HubSpot, security isn’t just a checkbox—it’s woven into everything we do. By building secure foundations and scalable systems, you’ll be enabling our teams and customers to grow better, together. If you’re motivated to strengthen security for millions of organizations at scale, you’ll find this opportunity exciting!

Responsibilities

As a Principal Software Engineer, you will play a leading role in building strong security foundations to advance Hubspot’s security posture. You will be a trusted technical leader within your organization, driving the development and improvement of secure software systems. You will partner closely with engineering and security teams to implement practical, hands-on solutions that mitigate risks and strengthen our product offerings. Your deep technical knowledge will help guide architectural decisions and establish best practices across projects in your org. You’ll focus on translating organizational priorities into tangible, secure engineering outcomes. Day-to-day, you’ll contribute code, review designs, and provide technical mentorship to engineers—championing security in everything we do.

You’ll act as a key point of contact for security expertise within the org— ensuring that Hubspot’s products meet both internal guardrails and external customer’s trust and security needs. You will work closely with engineers, product managers, and legal/compliance partners to ensure security is woven into the software development lifecycle, and that organizational objectives remain tightly aligned with secure design and delivery. You will also help shape our approach to securing AI initiatives, sharing your knowledge and fostering technical capabilities for building secure, innovative AI systems.

The secure systems and practices you establish will have a real and lasting impact on upholding the security and integrity of the data entrusted to Hubspot by millions of customers. By proactively identifying and addressing security risks in our products and aligning Hubspot’s product and security strategies, you will directly contribute to a secure experience for every customer—enabling them to focus on running and growing their business with confidence.

Key Expectations 

We are looking for an experienced and forward-thinking security leader with the following qualifications:

• 10+ years of experience in software development and  information security, with a focus on identity, access, and applied cryptography.
• Proven experience in designing and implementing identity infrastructure and other foundational security services in a cloud-native environment.
• Expert knowledge of secure development, public cloud security, and network security.
• Deep understanding and practical implementation experience with Zero Trust principles, including identity-centric security, continuous verification, and least-privilege access across distributed environments.
• Experience designing and leading the execution of large-scale migrations, ensuring the safe, secure, and seamless transition of critical systems or data while minimizing customer impact.
• Demonstrated experience in - or a strong willingness to learn - securing artificial intelligence systems such as AI/ML workflows, training data, models, agents, and deployments, to mitigate emerging AI-specific threats.
• Comfortable with leveraging and championing AI development tools (such as GitHub Copilot, Claude, ChatGPT) to enhance productivity and code quality
• Proven track record of mentoring and developing other security engineers, fostering technical growth and elevating security expertise across the org.
• Excellent communication skills, with the ability to articulate complex security concepts to both technical and non-technical audiences.
• A passion for staying current with the latest security trends and a commitment to continuous learning.
• Strong understanding of security, privacy, and compliance standards such as SOC 2, ISO 27001, NIST 800-53 and GDPR.
• Relevant industry certification (e.g., CISSP, CEH, Azure Cybersecurity Architect, AWS Speciality, etc.)

This role can be Office/Hybrid/Remote based within the UK

HubSpot is on the forefront of empowering businesses with cutting-edge AI, and our AI Infrastructure group is at the heart of this initiative. We are seeking a Staff level Software Engineer with a passion for infrastructure and developer experience to join our AI Serving team. The AI Serving team is part of AI Infrastructure and its goal is to own and operate HubSpot's model inference and serving infrastructure end-to-end, ensuring AI models are reliably deployed, scaled, observed, and cost-efficient across all hublets and environments, while also serving as the home for modern Python at HubSpot.

The team owns the serving frameworks and libraries that power synchronous, asynchronous, and offline inference, along with model deployment pipelines, autoscaling, and GPU/CPU resource management. The team's roadmap focuses on improving the reliability and efficiency of batch inference, strengthening model observability, and scaling AI infrastructure cost-effectively. The team also serves as the home for core Python libraries and tooling across HubSpot.

As a Staff Software Engineer on the AI Serving team you will:

• Write and ship production code that directly powers AI capabilities across HubSpot, a crucial building block for user and business impact at scale
• Lead the evolution of our model serving and inference infrastructure, improving reliability, scalability, and cost-efficiency
• Set technical direction for how HubSpot deploys and operates ML models at scale, guiding decisions on architecture, cost optimization, and developer experience
• Work closely with Machine Learning Engineers, Product Software Engineers, and other Infrastructure teams to streamline model deployment and serving
• Gain deep exposure to a wide range of HubSpot infrastructure systems through building and maintaining core Python libraries, an excellent  opportunity to learn how HubSpot operates under the hood
• Collaborate with HubSpotters all over the company, whether in engineering, product, design, research, marketing, sales, etc, gaining exposure to how HubSpot works as a business
• Be empowered to show up as your authentic self and choose a work style and location where you can do your best work, whether that's at home, in an office, or a blend of the two

We're not just looking for engineers with many years of experience. Instead we're looking for engineers who also have a track record of unique excellence, leadership, and leveling up those around them.

We work with Python and Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out our engineering blog to learn more.

What we'd like to see:

• A proven track record of directly contributing to and leading infrastructure projects at scale, ideally in serving, deployment, or platform engineering
• The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall platform architecture
• The ability to work effectively across teams, driving technical initiatives spanning multiple groups within AI Infrastructure and beyond
• Comfort with ambiguity: you can take on broad, cross-team problems and drive them to resolution without waiting for every detail to be specified
• Coaching and mentorship experience
• A track record in partnering successfully with recruiting to build remarkable engineering teams
• Bonus: Python expertise. Experience with Python tooling, libraries, and developer experience is a strong plus, given the team's role in stewarding Python across AI workloads at HubSpot

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply. We'd love to hear from you.

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.

Customer Journey | Intake Group

Do you get excited about building backend platforms that shape a customer’s very first experience with a product? Shaping the first impression for millions of customers? Are you motivated by complex systems, ambiguous problem spaces, and the challenge of turning that complexity into simple, scalable, customer-first solutions? If so, we’d love to talk.

We’re looking for a Staff Technical Lead to help lead the Intake Upgrades Backend Team, a highly visible and impactful team within the Customer Journey product line at HubSpot.

About the Team

The Intake Upgrades Backend Team powers HubSpot’s upgrade experience by contextualizing and personalizing offerings for our customers. The team builds backend systems that enable product discovery, deliver personalized upgrade recommendations, and facilitate seamless customer requests for new products and features.

This team sits within our Intake Group, which owns the front door to HubSpot — including Signup, Upgrades, Trials, and making return on investment (ROI) visible to customers. First impressions matter, and this team plays a critical role in making those experiences world-class.

While your primary focus will be Upgrades, this backend team also supports our Trials and ROI experiences. The work is deeply cross-functional and highly visible, requiring close collaboration with teams across the organization — particularly our Fintech partners, where pricing, packaging, entitlements, and billing systems are core to the upgrade journey.

About the Role

As a Staff Technical Lead, you will be a player-coach, leading a team of approximately 2-4 backend engineers while remaining deeply hands-on in technical design and implementation.

This role blends hands-on engineering (~75%) with technical leadership and influence (~25%). You’ll help shape architecture in a complex and evolving domain, guide engineers through ambiguity, and ensure we are always solving for the customer first — even when the systems underneath are anything but simple.

You will work closely with Product Managers, Designers, other Tech Leads, and cross-group partners (including Fintech) to build scalable, reliable systems that unlock growth for both our customers and HubSpot.

What You’ll Do

• Act as the technical leader and architect for backend systems powering upgrades, trials, and ROI experiences
• Design and evolve scalable, resilient architectures that integrate with complex Fintech, pricing, and packaging systems
• Stay deeply hands-on in code, reviews, and technical design, setting a high bar for quality and execution
• Lead and mentor engineers through ambiguous problem spaces, helping them break down complexity into clear, actionable solutions
• Partner closely with Product, Design, Data, and Fintech teams to deliver cohesive, customer-centric experiences
• Drive alignment across teams and systems, identifying leverage points that unlock outsized impact
• Balance short-term delivery with long-term platform health and technical strategy

We’re Looking for Someone Who

• Has a strong track record of delivering high-impact, cross-team technical initiatives at scale
• Is comfortable working in high-ambiguity domains, particularly where product, pricing, and financial systems intersect
• Can understand complex system landscapes and distill them into simple, scalable architectures
• Stays deeply hands-on while also providing technical direction, mentorship, and influence beyond their immediate team
• Demonstrates pragmatic decision-making with a bias toward solving problems through technology rather than process
• Raises the bar for technical excellence and helps others do the same
• Embodies HubSpot’s engineering values and customer-first mindset

Tech Stack (Experience, Not Expertise)

We leverage technologies such as Java, Kafka, GraphQL, distributed data stores, and service-oriented architectures. You don’t need to be an expert in every tool, but you should bring strong engineering fundamentals and a willingness to learn and apply new technologies to complex problems.