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-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.

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.

About the Role:

We are seeking an experienced Principal Software Engineer (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

What You'll Do:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure.

What We're Looking For:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights.

Ideal Background:

• 10+ years of experience in software engineering roles.
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organizations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field.

#LI-SK1

#LI-Remote

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen–fast.

As a Senior Software Engineer on the API & MCP Platform team, you'll be at the forefront of building and scaling ZoomInfo's API infrastructure that handles millions of API calls weekly and powers integrations across our platform. You'll work with Java and NestJS to develop robust, secure, and high-performance API services that enable seamless connectivity for our customers and partners.

You'll design and implement scalable API architectures, establish best practices for API security and authentication, and build infrastructure that enables partners and customers to leverage ZoomInfo's data at scale. Your expertise in API design, OAuth 2.0, and emerging technologies like Model Context Protocol (MCP) will be essential in creating world-class developer experiences.

Our engineering culture values diversity, intellectual curiosity, problem-solving, and openness. We encourage collaboration, big thinking, and calculated risk-taking in a blame-free environment. You'll have the autonomy to work on meaningful projects while receiving the support and mentorship needed to grow your career.

What you will do :

• Design, develop, and maintain scalable RESTful APIs using Java and NestJS framework
• Build APIs that power company and contact data enrichment, search, and intelligence capabilities
• Architect and implement secure authentication and authorization systems using OAuth 2.0
• Build high-performance API gateways with advanced rate limiting, throttling, and quota management
• Design and implement MCP (Model Context Protocol) tools and servers to enable AI-powered integrations
• Establish and enforce API design standards, versioning strategies, and best practices across the organization
• Optimize API performance, caching strategies, and response times for high-volume traffic (millions of calls daily)
• Design and implement comprehensive API documentation, SDKs, and developer tools
• Create MCP tool schemas, implement prompt best practices, and optimize tool discovery patterns
• Collaborate with product and integration teams to define API contracts and service-level agreements (SLAs)
• Implement monitoring, logging, and analytics for API usage patterns and performance metrics
• Participate in code reviews and mentor team members on API and MCP best practices
• Troubleshoot and resolve production issues in distributed API systems
• Contribute to technical architecture decisions for API platform evolution. 

What you bring:

• Bachelor's degree in Computer Science, a related field, or equivalent practical experience
• 5+ years of experience in software development with strong focus on API development
• 3+ years of experience designing and implementing RESTful APIs and microservices at scale
• Strong expertise in Java frameworks (Spring Boot, Spring Security, Maven/Gradle)
• Strong expertise in NestJS framework
• Deep understanding of OAuth 2.0, OpenID Connect, JWT, and API security best practices
• Experience with API gateway technologies 
• Proficiency with API design patterns, versioning, and documentation (OpenAPI/Swagger)
• Strong knowledge of rate limiting, throttling, and API scalability strategies
• Understanding of distributed systems and high-availability architectures
• Experience with MCP (Model Context Protocol) tool creation and implementation. 

Preferred Qualifications:

• Experience releasing production MCP tools and servers
• Deep knowledge of MCP best practices, prompt engineering, and tool design patterns
• Familiarity with AI/LLM integration patterns and context management
• Experience with cloud platforms (AWS, GCP, or Azure)
• Knowledge of containerization and orchestration (Docker, Kubernetes)
• Experience with CI/CD pipelines and automated API testing
• Familiarity with message queuing systems (Kafka, RabbitMQ)
• Experience building developer portals and API documentation platforms
• Background in platform engineering or developer experience (DX) initiatives
• Active contributions to open-source API projects or MCP tool repositories

#LI-SK1

#LI-Hybrid

Location: 439th CES/CER, 250 Patriot Avenue, Westover ARB, MA 01022 (Onsite)

Citizenship: US Citizen (MUST)

Security Clearance: Requires successful completion of NACI/SF85 (Public Trust) background investigation.

Position Overview:

The Support Specialist provides on-site, junior-level technical support to the 439th Civil Engineer Squadron (CES) at Westover ARB to help operate and sustain AI-enabled solutions in a secure DoD environment. Working under guidance from senior engineers and government stakeholders, the role supports day-to-day platform operations, basic data/model updates using established procedures, user support, and documentation for AI/ML-enabled capabilities (e.g., contract analysis, energy management, and snowfall recovery).

This position contributes to mission readiness by helping operationalize and improve critical AI-driven platforms for military engineering, utilities, contracting, and emergency response.

Key Responsibilities:

• AI/ML support: Run established training/evaluation scripts and assist with basic model validation, tuning experiments, and periodic updates under supervision.
• Deployment & integration support: Assist with deployments in secure, on-site/air-gapped environments by following checklists and runbooks; support integration testing and coordinate tickets with DoD IT/cyber teams.
• Documentation: Update and maintain technical notes, user guides, and training materials using provided templates and standards.
• Training support: Assist with recurring user training and help translate technical workflows for non-technical users; capture feedback and improvement requests.
• Security: Follow DoD cybersecurity requirements; protect CUI/FCI; comply with privacy and confidentiality rules.
• Sustainment: Perform basic monitoring and health checks; execute approved patches/updates using runbooks; troubleshoot common issues and escalate complex problems.
• Reporting: Support labor-hour reporting and contract deliverables on Government timelines.
• Coordination: Log, track, and triage support tickets/incidents; communicate status updates; coordinate with the Resources Flight Chief and technical leads to resolve issues.

Required Qualifications:

• Education: Bachelor’s degree in computer science, engineering, data science, or related field.
• Experience: Minimum of 2 years’ direct hands-on experience or commensurate education in artificial intelligence, machine learning, data science, or a related field within secure DoD or comparable environments.
• Technical Skills: Working knowledge of Python; basic Linux command line; Git/version control; ability to run and troubleshoot scripts; familiarity with at least one ML library (e.g., scikit-learn or PyTorch/TensorFlow) and basic data handling (CSV/SQL fundamentals).
• Security & compliance: Ability to follow secure handling procedures for CUI/FCI and comply with DoD/site security requirements; willingness to complete required security and privacy training.
• Communication: Clear verbal and written communication for technical and non-technical audiences; able to draft documentation and provide status updates with guidance.
• Professionalism: Present a professional appearance; display contractor identification badges at all times; adhere to all base regulations and government conduct policies.

Additional Requirements:

• U.S. citizenship; eligible for base access.
• Occasional travel to other AFRC locations, as authorized.
• Compliance with privacy, safety, and physical/environmental security rules.
• Maintain service continuity and follow contract staffing constraints.
• Maintain personally issued computing equipment per contract terms.

Preferred Qualifications:

• Prior support for .mil/.gov AI, data, or software solutions (internships/projects count).
• Familiarity with DoD acquisition/contracting and compliance processes.
• Familiarity with containers (Docker) and/or basic CI/CD concepts; interest in automation/scripting to improve repeatable support tasks.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

GTM Experiences defines how Toast engages with, supports, and grows customers across their entire lifecycle. This organization brings together Onboarding, Support, and Product-Led Growth (PLG) into a unified group responsible for designing and delivering a cohesive, end-to-end customer experience powered by intelligent systems and agents.

This team builds the platforms and experiences that shape how customers discover value, get started, receive help, and expand their use of Toast. We operate at the intersection of customer experience, agent experience, and product experience, developing systems that enable seamless transitions across lifecycle stages and channels.

GTM Experiences owns a broad ecosystem that includes customer onboarding journeys and activation systems, product-led growth surfaces and in-product engagement, customer support experiences and agent tooling, communications and engagement infrastructure, and AI-powered and agent-assisted lifecycle capabilities.

As Toast continues to grow, we are reimagining the customer lifecycle as a connected, intelligent platform rather than a set of siloed experiences. GTM Experiences plays a critical role in defining how these systems come together to deliver consistent, scalable, and high-quality experiences from first touch through long-term success.

About This Role

We are building the Customer Experience Platform that will define how Toast engages, supports, and grows customers at scale.

As a Senior Principal Engineer for GTM Experiences, you will serve as the LOB-level technical leader responsible for defining and driving the multi-year strategy that shapes how Toast delivers experiences across onboarding, support, and product-led growth. You will translate business strategy into coherent technical direction, align engineering investments with measurable customer and operational outcomes, and guide the architectural evolution to create a seamless customer journey.

This role extends beyond ownership of individual systems or services. You will help define how lifecycle stages connect into a unified experience and drive platform level decisions that unlock business outcomes. You will help define how core components of the support ecosystem — including AI-assisted capabilities, contact center infrastructure, agent tooling, and customer-facing support experiences — work together as a unified platform. You will partner closely with engineering, product, design, Care, Onboarding, and Growth leadership to establish a shared technical vision, make high-impact architectural decisions, and ensure that our platform scales with increasing complexity while improving customer outcomes.

Success in this role requires strong systems thinking, platform design expertise, and the ability to operate across organizational boundaries. You will bring clarity to a complex ecosystem, drive alignment across teams, and ensure our investments translate into measurable improvements in customer activation, retention, and support quality.

A day in the life (Responsibilities)

• Define and drive the multi-year technical strategy for the GTM Experiences LOB, ensuring alignment with company goals and long-term customer experience outcomes.
• Lead architectural direction for critical platform capabilities that support customer and agent experiences, including contact center infrastructure, AI-assisted support systems, internal agent tooling, onboarding and activation systems, product-led growth experiences
• Evaluate and de-risk major technical investments such as platform migrations, vendor integrations, and large-scale architectural changes.
• Ensure that systems across onboarding, support, and growth operate as a cohesive, extensible platform rather than disconnected point solutions.
• Partner with product, design, Care, Onboarding, and Growth leadership to translate strategic goals into scalable technical solutions that improve outcomes and operational efficiency.
• Establish architectural principles and engineering standards that support long-term platform scalability, flexibility, and velocity.
• Provide technical leadership and mentorship to senior engineers, helping raise the overall engineering bar across the GTM Experiences organization.
• Influence technical direction across multiple teams and functions, aligning stakeholders around shared platform decisions and long-term strategy.
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• 10+ years of experience in software engineering, with a strong background building and evolving large-scale distributed systems and customer-facing platforms.
• Demonstrated experience defining technical strategy or architecture for complex platforms spanning multiple systems and teams.
• Strong systems thinking and platform design experience, with the ability to connect individual services and tools into coherent technical ecosystems.
• Proven ability to lead high-impact architectural decisions and guide organizations through complex technical transitions.
• Experience influencing technical direction across teams and collaborating with product, design, and operational partners to deliver meaningful business outcomes.
• Strong communication skills and the ability to articulate complex technical ideas clearly to both technical and non-technical stakeholders.
• A track record of mentoring senior engineers and raising the engineering bar within an organization.
• Experience working on customer experience platforms, workflow systems, or other complex operational software environments is strongly preferred.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

#LI-REMOTE

We're looking for a Software Engineer III to join the Contributory Network team within Data Acquisition - one of ZoomInfo's most strategically important initiatives.

The Contributory Network is building the infrastructure that powers a new generation of intelligence products by ingesting, transforming, and processing first-party data contributed by thousands of customers through their CRM, email, and recording provider integrations.

In this role, you'll build the data pipelines that ingest and transform massive volumes of contributed data, as well as contribute to front-end experiences that give internal teams and customers visibility into the platform. You'll work across the full stack, with a strong emphasis on backend data engineering and a meaningful front-end component.

What You'll Do

• Design and build data pipelines that ingest, validate, and transform first-party data from customer integrations (CRM systems, email providers, recording platforms)
• Develop and maintain ETL/ELT workflows for processing contributed contact information, opportunity metadata, and engagement signals at scale
• Build and enhance front-end interfaces for monitoring, configuration, and data quality dashboards using Angular
• Work with streaming and batch processing technologies to handle real-time and scheduled data flows
• Collaborate closely with product managers to translate business requirements into technical solutions
• Ensure data quality and integrity across the pipeline - from ingestion through enrichment and delivery
• Contribute to observability and monitoring for pipeline health, throughput, and error rates
• Partner with cross-functional teams (Data Quality, Platform, Product) to deliver impactful features

Must-Have Qualifications

Data Engineering

• 3+ years of professional software engineering experience
• Solid experience building and operating data pipelines (ETL/ELT) at scale
• Proficiency in Java
• Experience with data processing frameworks such as Apache Beam, Apache Airflow or Spark
• Hands-on experience with streaming technologies (Kafka, Pub/Sub, or similar)
• Familiarity with cloud platforms, preferably GCP (BigQuery, GKE, Dataflow/DataProc)
• Understanding of data modeling, schema design, and data quality practices

Front-End Development

• Working experience with modern front-end frameworks, ideally Angular
• Ability to build functional, clean UIs for internal tools, dashboards, and configuration screens
• Comfortable working with REST APIs and integrating front-end with backend services

General

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• Strong problem-solving skills and attention to detail
• Ability to find the right balance between perfection and getting the job done
• Effective communicator who works well in a collaborative, cross-functional environment

Nice to Have

• Experience with Kubernetes (GKE/EKS) for distributed workloads
• Familiarity with Snowflake, BigQuery, or similar cloud data warehouses
• Experience with Terraform or infrastructure-as-code tools
• Exposure to data integration patterns involving CRM systems or email/calendar APIs
• Experience in a B2B data company or data-as-a-product environment

Why This Role Matters

The Contributory Network is a cornerstone of ZoomInfo's long-term strategy. By building the data infrastructure that processes first-party contributions from thousands of companies, you'll directly power intelligence products - from competitive benchmarking to buyer committee insights to market timing signals - that no other source in the world can offer.

You'll be joining at a pivotal moment: the initiative is high-visibility, the team is growing, and the opportunity to shape how contributory data flows through ZoomInfo is yours to build.

#LI-AR2

#LI-HYBRID

Location(s): US (remote), Boston (hybrid), or New York (hybrid)

Bready* to make a change?

Now, more than ever, the Toast team is committed to our customers. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future.

Who We Are

The Websites team is responsible for advancing and supporting Toast’s website design and hosting product, as well as working closely with the integrated Online Ordering product/team. This group is highly product oriented, with a laser-focus on creating top tier consumer experiences for restaurants and their guests. Our product-line is relatively new but already used by millions of restaurant goers each day, so be prepared to innovate on products at a huge scale while ensuring stability and scalability.

About this roll* (Responsibilities)

In this role, you'll get to work on a wide variety of projects, using your technical chops to influence not just the code, but also product and business strategies. This is a golden opportunity for a hands-on, entrepreneurial engineer who thrives in a modern tech stack environment and loves solving real-world problems through technology. You’ll run experiments, iterate quickly, and have a strong voice in shaping the future of online ordering and Websites here at Toast.  Here’s what you’ll be doing:

• Design, scope, and implement cutting-edge solutions using a mix of technologies.
• Raise the bar to boost quality, performance, usability, and scalability of the Websites product.
• Collaborate closely with Design and Product stakeholders to chase product-market fit.
• Drive discovery of high-impact opportunities with your team and turn them into reality.
• Be an awesome teammate who’s all in on collaboration and collective success.
• Work across teams to ensure that every part of our product ecosystem works seamlessly together to deliver the best possible experience for our customers.

Do you have the right ingredients*? (Requirements)

• 8+ years of experience developing fullstack web applications
• Proficient in backend technologies like Java/Kotlin and Node.JS.
• Skilled with frontend frameworks like React or Angular, and CSS frameworks like Tailwind or Bootstrap.
• Experienced in building on AWS, with tools like Docker and Git.
• Comfortable turning high-fidelity UX designs from Figma into reality.
• Adept at designing databases and architectures that scale and perform well.
• Passionate about writing testable code, with experience in API design and unit/integration testing.
• Thrive in a collaborative, team-based environment where you ship features together.
• Passionate about making users happy and seeing people use your product in the wild.
• Embrace the agile mindset—ship quickly, iterate, and refine.
• Harness AI to supercharge your output and push the boundaries of what our product can do.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

We are looking for a Lead ServiceNow Software Engineer who excels at architecting, driving, and governing a strategic ServiceNow platform for 6,000+ users. This role demands technical leadership, the ability to deliver complex initiatives on aggressive timelines, superior prioritization (evaluating business value, risk, and long-term impact), and exceptional collaboration and influence skills.

You will serve as the top-tier technical escalation point, lead large ServiceNow project initiatives, provide mentorship and guidance to the team, lead cross-functional discussions, make final architecture and design decisions, drive platform-wide initiatives, and ensure solutions are scalable, secure, maintainable, and aligned with enterprise strategy.

A day in the life (Responsibilities) 

• Consult on the ServiceNow platform strategy, ensuring scalable, secure, and maintainable solutions for high priority initiatives
• Lead development of complex, platform-wide initiatives, driving execution from design through implementation
• Serve as the top-tier technical escalation point, resolving complex issues across the platform and integrated systems
• Encourage and help implement the use of development standards, architecture principles, and best practices to ensure high-quality, consistent solutions
• Design and oversee integrations with enterprise systems (e.g., identity, HR, and access platforms), while considering reliability, scalability, and performance
• Partner with cross-functional stakeholders to translate business needs into technical solutions
• Mentor and guide engineers, facilitating code and architecture reviews to elevate team capability
• Drive platform innovation and continuous improvement, including automation, AI capabilities, and enhanced user experience

What you'll need to thrive (Requirements)

• Deep expertise in the ServiceNow platform, including advanced scripting, custom application development, modular frameworks, and performance optimization.
• Extensive experience architecting multi-system integrations (REST/SOAP, spokes), ideally including Okta, Workday, and SailPoint.
• Design enterprise-grade data models that align with frameworks like CMDB and CSDM.
• Offer technical and architectural guidance to the ServiceNow process and initiatives by influencing platform design and leading key projects to build scalable, secure solutions.
• Strong proficiency in JavaScript, HTML/CSS, Angular, React, Employee Center development (widgets and UI components), and modern UI/UX patterns.
• 7+ years of progressive ServiceNow development experience, including leading large-scale or platform-wide initiatives in an enterprise setting.
• Proven ability to suggest technical standards, lead code and architecture reviews, and mentor senior and junior engineers.
• Exhibits exceptional communication skills, confidently representing the team to senior stakeholders, explaining complex designs, and guide discussions. 
• Achieved at minimum the ServiceNow Certified System Administrator (CSA) certification.

What will help you stand out (Nonessential Skills/Nice to Haves)

• Experience integrating complex workflows between ServiceNow and Slack.
• Hands-on experience with NowAssist for AI-driven automation and productivity.
• Additional certifications (CAD, Application Developer, etc.) strongly preferred.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

SEAR at Toast focuses on two things: actionable intelligence collection, analysis, and delivery to engineers, and hunting the adversaries who would damage and defraud Toast, its customers, and its partners. We bake security into every layer of our products, from the first sprinkle of an idea to the final serving of a fully-baked solution. Our team is tasked with searching out and degrading the operations of persistent, motivated attackers.

Like master chefs, we blend cutting-edge technology with strategic thinking, implementing bespoke and industry-standard solutions for intelligence processing at scale. By joining SEAR, you'll be part of the kitchen crew that keeps our customers' trust from going stale. You'll tackle complex challenges that have real-world impact, helping to serve up a safer, more secure digital experience for businesses that count on Toast every day. It's not just about pattern-matching  – it's about crafting a recipe for digital trust that keeps our customers coming back for more.

A day in the life (Responsibilities)

• Select, implement, design, and build services and tools to manage and deliver security intelligence across Toast platforms.
• Identify, triage, and provide remediation guidance for application vulnerabilities, with a specific focus on anti-abuse activities.
• Improve developer tooling and adoption to build a more robust SSDLC which integrates security and anti-abuse features.
• Practice a #OneTeam attitude to help other Toast teams make informed, security-conscious decisions when building new public-facing software.
• Assist incident response teams with application security expertise and tools, especially related to abuse and fraud.
• Build threat models on Toast applications and use cases.
• Guide in the design and maintenance of robust and resilient network and application architecture.
• Collaborate to improve information gathering and sharing across all Toast products.
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• Minimum 5+ years of experience in application security and security engineering.
• Experience building and maintaining scaled Java web services in production.
• Experience developing script applications in Python for scheduling and backend data handling.
• Experience leveraging LLM AI features for software development and/or security operations.
• Strong understanding of cloud application architecture.
• Successful history of being a subject matter expert to guide colleagues toward better security outcomes, especially related to abuse, fraud and legal concerns.
• Previous security experience working with fintech applications and associated requirements.
• Strong understanding of privacy, security, and cryptography patterns and when to apply them, especially when handling customer information (such as PKIs, access management, data tokenization, and anonymization).

Special Sauce (Nonessential Skills/Nice to Haves)*

• Offensive security training and certifications (e.g. OSCP, OSWE, OSEP)
• Edge Security solution like WAF, API Security
• Adversary Emulation proficiency (red/purple teaming)
• Cloud and container security technologies
• SSDLC tooling (e.g., SAST/DAST/SCA)
• Scaled data handling in RDBMS, streaming, and columnar stores
• Metrics and charting software proficiency
• Mobile apps/threats (iOS, Android), and their particular abuse vectors
• Knowledge in security of operating systems, networking and protocols
• Securing financial technologies and associated requirements

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute — you'll make things happen, fast.

About the Role

We're looking for a Head of Performance Marketing, Agentic / AI-First who operates like a builder, thinks like a scientist, and executes like a founder. Someone who writes their own landing pages, ships their own tests, and treats AI agents as the most important hire they'll ever make.

This isn't a role for a paid media executive who manages managers. It's for an analytically rigorous, deeply curious operator who wants to rebuild how paid media runs at a modern B2B company — with Claude Code in one hand, a performance dashboard in the other, and a bias toward shipping.

You'll take our strong B2B foundation and transform it into an AI-native growth engine: higher testing velocity, tighter feedback loops, better creative, and an operating model where a small team with great tools outperforms a large team with good ones.

What You'll Own

1. An AI-Native Paid Media Operation

Own all paid channels — Search, Paid Social, Display/Programmatic, review sites, retargeting, and emerging platforms — and rebuild how they run from the inside.

• Use Claude Code, agents, and lightweight engineering to automate the work that today eats channel manager time: RSA generation with character-limit validation, SKAG structures, conversion upload pipelines, bid adjustments, audience syncs, creative QA, reporting.
• Stand up self-serve landing page infrastructure so campaigns don't wait on design or dev cycles. You should be comfortable shipping an LP yourself when the situation calls for it.
• Pioneer agentic workflows across targeting, messaging, platform ops, and optimization — not as a side project, but as the default way work gets done.
• Manage multi-million-dollar budgets with discipline while maintaining the velocity of a team several times your size.

2. A Real Experimentation Engine

Build the system that turns spend into learning.

• Design and run a high-throughput testing operation across creative, LPs, audiences, offers, and channels.
• Define clear hypothesis → test → read → scale-or-kill loops with honest statistical rigor. No vanity wins, no p-hacking, no narrative over data.
• Be the person on the team most willing to be wrong and fastest to update. Truth-seeking is the job.
• Use AI to 10x the rate at which variants get produced, shipped, read, and retired.

3. The Operating Model

Build the systems that let the team move fast without breaking things.

• Campaign templates, QA, taxonomy, routing — reimagined as code, agents, and lightweight tooling rather than wikis and checklists.
• Enablement for channel managers so they operate at the same velocity and quality bar you set for yourself.
• A shared standard for what "good" looks like across segments and regions.

What You Bring

• 8–12+ years in Paid Media, Performance Marketing, Growth, or Acquisition — with a track record of building systems, not just running them.
• Hands-on fluency with AI tooling: Claude, Claude Code, ChatGPT, agents, and whatever ships next quarter. You've replaced meaningful parts of your own workflow with AI and can show your work.
• Comfort with light coding and technical systems: Python or JS, APIs, Google Sheets as a serious tool, scrappy scripts, JSON, landing page stacks. You don't need to be an engineer, but you can't be afraid of a terminal.
• Deep channel mastery paired with genuine creative sensibility. You can critique an ad, diagnose a funnel, and rewrite a headline.
• Analytical rigor. You can tell the difference between a real lift and a coincidence, and you care about the difference.
• B2B experience required; B2C growth experience strongly preferred — we want the instincts that come from operating in high-velocity consumer environments.
• Intellectually honest, curious, and low on ego. You want to find out what's true more than you want to be right.

Why This Role Matters

Paid media at most B2B companies is run the way it was run in 2018, with AI sprinkled on top. We're rebuilding it for how work actually gets done now. This role sets the bar — for channel excellence, creative velocity, testing rigor, and what a modern growth team looks like when it's designed around AI from the ground up.

You will directly shape how fast we learn, how efficiently we scale, and how much business we build per dollar spent.

#LI-AP3
#LI-Hybrid

How you will make an impact:

You’ll work as a member of Team Q. Team Q manages Iterable technologies and libraries powering the myriad of queueing problems across Iterable.  At peak parts of the day these queues reach nearly 1 million publishes a second! Team Q is building towards continuously enriching self-service platforms that allow every Iterable team to plug into this high scale torrent of messages - seamlessly. 

As a Senior Software Engineer on Team Q at Iterable, you'll have the opportunity to direct how we support massive real-time traffic ensuring fairness and predictability for our customers.

Your work will include designing and implementing our next-generation queueing library, including how we dynamically prioritize incoming traffic and schedule+predict long-running workloads. You’ll work closely across teams in Iterable to understand our rich set of queueing use cases to help form the solutions on the team roadmap.

We believe in a strong, friendly engineering culture and value personal and professional growth. You'll get to work on what you like and one of our explicit goals as a team is to build a uniquely fun and growth-oriented culture. Our team of hackers and thinkers is small, lean, and empathetic.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

How you will make a difference:

• Design and build libraries to accelerate the building of Customer Products
• Build products to gracefully handle widely varying traffic patterns in queues
• Collaborate with a small and nimble engineering team
• Identify and resolve performance bottlenecks

We are looking for people who:

• Experience designing, developing, and operating asynchronous systems
• Experience with queueing technology (RMQ, SQS, Kafka, etc)
• Proficiency  in at least one modern programming language (we use Scala)
• A passion for developer experience
• Passion for learning and a team player

Bonus Points

• Experience managing operations in datastores used in services
• Experience with Scala ZIO and reactive domain modeling
• Contributor to a queueing technology

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

About the Role

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

We're looking for a Senior Software Engineer to join the Contributory Network team within Data Acquisition - one of ZoomInfo's most strategically important initiatives.

The Contributory Network is building the platform that ingests, transforms, and processes first-party data contributed by thousands of customers through their CRM, email, and recording provider integrations. This data powers a suite of intelligence products - from competitive benchmarking and buyer committee insights to predictive market timing - that are impossible to build any other way.

This role demands a driver. We need someone who takes ownership, pushes through ambiguity, unblocks themselves and others, and relentlessly moves work forward. You won't wait for perfect specs or complete clarity - you'll carve the path, make decisions, and deliver. If you thrive when given a hard problem and the autonomy to solve it, this is your role.

What You'll Do

• Own and drive the design and implementation of large-scale data pipelines that ingest, validate, transform, and enrich first-party contributed data from CRM systems, email providers, and recording platforms
• Architect resilient ETL/ELT pipelines handling massive volumes of contact data, opportunity metadata, engagement signals, and activity patterns
• Take initiative on complex technical challenges - identify problems proactively, propose solutions, and execute with urgency
• Build streaming and batch processing systems for real-time and scheduled data flows using Kafka, Pub/Sub, Apache Beam, or similar
• Establish data quality frameworks, ensuring accuracy, consistency, and completeness across contributed data
• Define and implement observability, monitoring, and alerting for pipeline health, throughput, cost, and data quality metrics
• Drive technical design decisions and guide implementations from concept to production
• Mentor and elevate other engineers on the team through code reviews, pairing, and knowledge sharing
• Partner with product, platform, and data science teams to deliver high-impact features on tight timelines
• Influence technical direction across the Contributory Network initiative and the broader Data Acquisition organization

Must-Have Qualifications

Data Engineering & Pipelines

• 5+ years of professional software engineering experience with a strong focus on data engineering
• Proven track record of building and operating production data pipelines at scale
• Deep experience with Python and/or Java
• Hands-on expertise with data processing technologies: Apache Beam, Apache Airflow, Spark, Google Dataflow, or DataProc
• Strong experience with streaming systems (Apache Kafka, Google Pub/Sub, or similar)
• Experience with cloud platforms, preferably GCP (BigQuery, GKE, Dataflow)
• Solid understanding of data modeling, schema evolution, and data quality management
• Experience designing and operating large-scale ETL/ELT pipelines processing terabytes of data

Technical Leadership & Drive

• Demonstrated ability to drive complex technical initiatives end to end - from scoping through delivery
• Track record of operating with high autonomy and a bias toward action
• Ability to push through ambiguity, make pragmatic decisions under uncertainty, and unblock progress
• Experience influencing technical direction within a team or across teams
• Strong code review and technical mentorship skills
• Proven ability to balance quality with velocity - you ship, iterate, and improve

General

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• Exceptional interpersonal skills with a proven ability to build productive cross-departmental relationships
• Strong communicator who can explain complex systems to diverse audiences
• Entrepreneurial mindset - comfortable pioneering new capabilities and wearing multiple hats

Nice to Have

• Experience with Kubernetes (GKE/EKS) for running distributed workloads
• Familiarity with multi-cloud environments (GCP + AWS)
• Experience with Snowflake, BigQuery, Starburst/Trino, or similar query engines
• Experience with Terraform or infrastructure-as-code
• Knowledge of data integration patterns with CRM systems, email providers, or recording platforms
• Exposure to AI/LLM-based data processing approaches
• Experience in a B2B data company or data-as-a-product environment
• Experience with Apache Spark at expert level

What Sets This Role Apart

This isn't a role where you maintain existing systems and wait for tickets. The Contributory Network is a greenfield strategic initiative - you'll be building foundational infrastructure that directly powers intelligence products worth six figures from consulting firms, products that literally cannot exist without the data platform you build.

We need someone who goes through walls, not around them. Someone who sees a blocker and finds a way. Someone whose default mode is action, not analysis paralysis.

Why This Role Matters

The Contributory Network is ZoomInfo's strategic moat. It's how we pull away from competitors permanently by harnessing first-party data from thousands of companies to create intelligence no other source can offer. The data pipelines you build will power performance benchmarking, buyer committee intelligence, market timing signals, verified intent scoring, and fraud prevention - all at scale.

You'll be joining at a pivotal moment: the initiative is high-visibility, the team is growing, and the opportunity to define how contributory data acquisition is done at ZoomInfo is yours to shape.

#LI-AR2

#LI-Hybrid

About the Role:

We are seeking an experienced  Software Engineer III (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

What You'll Do:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure.

What We're Looking For:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights.

Ideal Background:

• 5+ years of experience in software engineering roles.
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organizations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field.

#LI-SK1

#LI-Hybrid

As a Principal Engineer on our Advertising, Company Intelligence, and Intent team, you’ll help design and implement the core systems that power our real-time marketing platform. From high-throughput ad infrastructure to large-scale identity resolution and intelligent systems enhanced by LLMs, push the boundaries of scale, intelligence, and speed—and deliver real-world business impact.

You’ll be joining a team with a broad range of ambitious, technically deep projects—from APIs that process tens of billions of events per day, to new buyer intent algorithms powered by LLMs, to a unified B2B identity graph. Depending on your strengths and interests, you’ll be matched to the initiatives where you can have the greatest impact.

This is a high-growth, high-ownership environment operating at the edge of what’s possible in modern software engineering, data infrastructure, and applied AI.

What You’ll Do

• Design and build distributed systems that process, enrich, and respond to billions of behavioral events per day in real time
• Develop high-performance APIs and services that support advertising, identity, and intent features across the Marketing Platform
• Leverage machine learning and large language models (LLMs) to analyze behavioral data, classify content, extract signals, and enable intelligent decision-making
• Build intelligent agents using frameworks like LangGraph or MCP to reason over data and power user-facing insights
• Design and operate data pipelines using tools like Kafka, Kinesis, and ClickHouse to support both streaming and batch workloads
• Drive quality, performance, scalability, and observability across all systems you own
• Collaborate cross-functionally with product managers, data scientists, and engineers to deliver customer-facing features and internal tooling
• Contribute to technical leadership and mentorship of teammates

What We’re Looking For

• 8+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership.
  
  
• Strong experience in at least one of the following:
• Distributed systems engineering (e.g., building low latency high and throughput APIs, scalable microservices, event processing pipelines)
• Big data infrastructure (e.g., streaming, warehousing, low-latency storage at scale)
• Applied AI/ML, including use of LLMs for extraction, classification, or reasoning tasks
  
  
• Proficiency in one or more core languages: Java, Go, Python
• Solid grasp of SQL and large-scale data modeling
• Familiarity with databases and tools such as: ClickHouse, DynamoDB, Bigtable, Memcached, Kafka, Kinesis, Firehose, Airflow, Snowflake

AI-Native Development Mindset

• Comfortable using LLMs as part of your development workflow—whether via tools like Copilot, Cursor, ChatGPT, Claude, or others—to boost productivity, explore architecture ideas, and rapidly prototype.
  
  
• Skilled at designing and implementing LLM-powered systems such as RAG pipelines, agent frameworks (e.g., LangGraph), or intelligent workflows that reason across large datasets in real time.

Bonus Points

• Experience in ad tech, real-time bidding (RTB), or programmatic systems
• Background in identity resolution, attribution, or behavioral analytics at scale
• Contributions to open source in ML, infrastructure, or data tooling
• Strong product instincts and a passion for building tools that drive meaningful outcomes

#LI-SK1

#LI-Remote

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen—fast.

The Opportunity

ZoomInfo has rebuilt around AI. We have the orchestration infrastructure, the tools platform, the intelligence layer. Now we need someone to turn that infrastructure into outcomes—someone who lives at the intersection of what's technically possible and what GTM teams actually need.

This role owns the agentic ecosystem: the core agents that power ZoomInfo's products, the Plays library that packages intelligence into deployable workflows, and the marketplace where customers discover, customize, and deploy automation. You'll build agents that book meetings, enrich pipelines, resurrect dead leads, and orchestrate multi-step GTM motions. Then you'll package them into Plays that non-technical users can deploy in clicks, not code.

You're not managing from the sidelines. You're building. You'll work in our Plays builder the way a RevOps leader works in their automation tools—hands-on, iterative, constantly shipping. You'll prototype agents, refine prompts, test orchestration patterns, and validate that what we build actually moves pipeline. When you identify a gap in what our agents can do, you'll partner with the tools and infrastructure teams to close it.

The marketplace you own is how ZoomInfo's agentic capabilities reach the world. Internal teams deploy your Plays across Copilot, GTM Studio, and MarketingOS. Customers browse, customize, and activate automation from your library. Partners and developers connect through MCP gateways you define. Every surface where ZoomInfo's agentic intelligence becomes accessible—you own it.

This is a rare role: part builder, part GTM strategist, part platform owner. You need to understand how SDR teams actually prospect, how marketing ops builds nurture flows, how CS teams identify expansion signals. Then you need to translate that understanding into agents and Plays that work reliably at scale. The infrastructure exists. The data exists. We need someone to turn it into the workflows that transform how GTM teams operate.

What You'll Do

Build Core Agents & Plays Design, build, and iterate on the agents and Plays that ship inside ZoomInfo's products. You'll work at multiple levels of abstraction: building agents from primitives when novel capabilities require it, composing existing agents into complex orchestrations, and packaging everything into Plays that non-technical users can deploy. This isn't spec-writing—you'll build in our Plays environment daily, testing what works and shipping what delivers.

Own the Plays Library Curate and expand ZoomInfo's library of pre-built GTM workflows. Identify high-value use cases through customer research, competitive analysis, and GTM intuition. Prioritize which Plays to build, define their logic and orchestration, validate they deliver measurable outcomes, and iterate based on adoption and performance data. The library is the product—its breadth, quality, and relevance determine whether customers see ZoomInfo as a data vendor or an automation platform.

Define the Marketplace Experience Own the customer-facing marketplace where users discover, evaluate, and deploy agentic workflows. Define the information architecture, discovery mechanisms, and activation flows that help users find the right Play for their use case. Balance curation with abundance—enough options to address diverse needs, enough guidance to prevent paralysis. Measure success through activation rates, time-to-value, and Play retention.

Translate GTM Expertise into Agentic Design The best agents encode deep understanding of the workflows they automate. Bring GTM operational expertise to agent design: How do top SDRs actually research accounts? What signals trigger effective outreach timing? How do marketing ops teams think about lead routing? Translate this knowledge into agent behaviors, Play logic, and orchestration patterns that feel like they were built by someone who's lived in RevOps.

Close the Loop with Platform Teams You're the voice of "what agents need to do" speaking to the teams building "what agents can do." When you discover that a critical GTM workflow requires a capability that doesn't exist, partner with the tools and infrastructure teams to prioritize it. When platform improvements unlock new possibilities, translate them into Plays that demonstrate value. You're the bridge between infrastructure leverage and customer outcomes.

What You'll Bring

• 6-15 years product management experience with 2+ years focused on GTM technology, workflow automation, or AI-powered products
• Direct experience building agentic workflows—you've shipped automation using tools like Relevance.ai, Lindy.ai, n8n, or similar no-code/low-code agent builders
• Hands-on familiarity with AI-assisted development (Claude Code, Cursor, or similar)—you prototype and build, not just specify
• Deep understanding of GTM operations: how sales, marketing, and success teams actually work, the tools they use, the metrics they track, the workflows they build
• Experience with complex workflow orchestration—multi-step, multi-system automation with branching logic, error handling, and human-in-the-loop patterns
• Track record shipping products where you personally built significant portions of the experience, not just managed engineers building it

Who You Are

Builder First You don't just write requirements—you build. You're comfortable in no-code workflow builders, and you reach for Claude Code or Cursor when you need to go deeper. You prototype to learn, ship to validate, and iterate based on what you discover. Your PRDs include artifacts you've built, not just wireframes someone else will implement.

GTM Operations Native You've lived in the world your users inhabit. You've built sequences in Outreach or Salesloft. You've configured lead routing in Salesforce or HubSpot. You've debugged why a Marketo program isn't firing. You understand the gap between how GTM workflows should work and how they actually work—the edge cases, the data quality issues, the human workarounds. This knowledge shapes every agent you design.

Agentic Workflow Intuition You understand what makes agents succeed or fail. You know how to write tool descriptions that guide reliable invocation. You've debugged orchestration flows where agents took unexpected paths. You think about failure modes, human oversight, and graceful degradation. You can look at a complex workflow and identify where it will break—then design around it.

Marketplace Product Sense You've thought about discovery, curation, and activation at scale. You understand that a library of 500 Plays is worthless if users can't find the right one. You think about information architecture, progressive disclosure, and the journey from "browsing" to "deployed and delivering value." You balance flexibility with guidance.

Customer Empathy with Technical Depth You can sit with a VP of Sales and understand their pipeline challenges, then translate that into agent specifications an ML engineer can build. You move fluidly between "we need to accelerate deal velocity" and "the agent needs to invoke the CRM lookup tool before the enrichment tool to avoid redundant API calls." You don't choose between business context and technical precision—you hold both.

Intellectual Curiosity The agentic landscape evolves weekly. You follow what's shipping—new agent frameworks, orchestration patterns, MCP developments, prompt engineering techniques. You try new tools not because it's your job but because you're genuinely curious about what's possible. You bring external learnings back to the team and challenge assumptions when better approaches emerge.

#LI-VC1

#LI-Hybrid

New Leaf Energy seeks a Civil Project Engineer I. We are currently only considering internal applicants. In this role, you will work with a team of engineers, project developers, and engineering consultants to review, design, and permit prospective solar PV, wind, and energy storage projects. Our successful candidate will be relied on to balance due diligence efforts with project risks for the continued development of projects for New Leaf Energy. 

This position may be filled out of our Boston, MA, Lowell, MA, Chicago, IL, and Troy, NY, or Oakland, CA offices. We value in-person collaboration and offer a hybrid work environment. Hybrid employees work in the office at least two out of every Tuesday, Wednesday, and Thursday and are free to work from the office or home on other days. Remote candidates who meet the qualifications are also encouraged to apply; internal candidates with relevant experience are also encouraged to apply.

Primary duties include, but are not limited to: 

• Design, direct, and manage concurrent projects using either internal or external resources. Lead site review, zoning/bylaws review, and outline project entitlement path.
• Apply NLE’s Value Stream Map (VSM) to advance a project through design and entitlement.
• Assist in identifying, qualifying and onboarding surveyors and consultants for project design and entitlement. Use project scheduling, task-management, KPI, QC, and other tools to ensure standards adherence, design quality and timeliness. 
• Work with the state agencies, towns, and other stakeholders, as well as present to planning/zoning boards, state, and federal agencies.
• Assisting in the continued development of standard details, notes,  specifications and SOPs.
• Reviewing design drawings prepared by in-house or external designers.
• Prepare the civil engineering components of project bid sets that will be used for the IPP bidding process.
• Respond to bidder permitting questions and participate in due diligence calls with project bidders.

Desired Qualifications

While no one individual will possess them all, the successful candidate will bring many of the following experiences, skills, and attributes. If you’re unsure of whether you meet enough of the qualifications below but believe that your experience and skill set is a good match for this position, we invite you to apply!

• Bachelor’s or Master’s degree in civil engineering. 
• On track to obtain Civil P.E. license
• 4–8 years’ experience in site development, entitlement, and environmental permitting (municipal, state, federal).
• Solar PV or energy storage experience desired.
• Experience in cost estimation, reviewing engineering services contracts, managing subconsultants and project schedule management.
• AutoCAD Civil 3D and HYDROCAD (or equivalent design tools) proficiency.
• Able to communicate design concepts and lead meetings between clients, engineers, regulatory officials, and consultants.
• Able to manage multiple projects while being highly motivated, detailed, and organized.
• Passionate about renewable sources of energy.

Compensation

New Leaf Energy compensates all employees in three ways: market-competitive base salary, plus above-market variable compensation, plus an equity-like program such that all employees experience the benefits of ownership.  We use a data-driven and transparent methodology to calibrate compensation that is externally competitive and internally equitable, guided by the New Leaf Energy compensation manual, which is available to all employees.

Under our compensation framework, the likely base salary range for this position is $113,980 - 129,660. The on-target annual cash bonus associated with this position is an additional 10% percent of base salary. Your actual salary may be above, in, or below this range, depending on your location and experience. Our office locations in Lowell, Boston, Oakland, and Chicago all carry geography-based upward adjustments to the base pay range.

We value transparency and can share more during the interview process. 

How you will make an impact:

Engineering at Iterable is responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive to non-technical users is extremely important. Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

One of our core values is Growth Mindset and Iterable is a company where everyone can continuously learn. If this is an idea that excites you, please do apply as we value applicants for the skills they bring beyond a job description

Team Description? 

How you will make a difference:

As a Senior Software Engineer working on the User Data Infrastructure team, you will:

• Design and develop software for a highly scalable and reliable multi-tenant system
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Enhance observability of data at ingestion, query, and storage layers
• Improve automation of our Elasticsearch cluster management system

We are looking for people who have :

• Relevant industry experience building production-ready, scalable applications
• Proficiency  in at least one programming language (ideally Scala and/or Java)
• Experience with Elasticsearch
• Experience with NoSQL and SQL databases  
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala, Java
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Kafka, AWS, Pulsar
• Other Relevant Technologies: Docker / Kubernetes

Bonus Points

• Experience working with large code base
• Experience with functional programming and the JVM

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

About Toast

At Toast, we're building the restaurant platform that helps restaurants adapt, take control, and thrive. The Customer Success (CS) organization plays a pivotal role in helping customers get the most out of our products and we're transforming our data capabilities to drive a new era of proactive, data-informed customer engagement. 

The CS Data & Analytics team is at the center of this transformation, building the data infrastructure that makes proactive, data-informed customer engagement possible at scale for ~150,000 restaurant locations.

Role Overview

You'll be a founding member of a newly chartered data engineering function within Customer Success, with a direct hand in shaping the architecture, tooling, domain model, and team culture from day one. This is a rare opportunity to build something from greenfield, with visibility to VP and senior CS leadership.

As an Analytics Engineer on the Customer Success Data & Analytics team, you'll bridge the gap between raw data and business-ready insights. You'll build the semantic layer, dbt models, and analytics datasets that power reporting, dashboards, and AI-driven workflows across the CS organization. Reporting to the Director of Data Infrastructure & Engineering, you'll work closely with Data Engineers, Analysts, and CS operations leaders to ensure data is not just available but trusted, consistent, and decision-ready.

This is a hands-on role focused on data modeling, metrics standardization, and analytics infrastructure, with a direct line to CS outcomes like customer retention, agent performance, and proactive customer engagement.

A day in the life (Responsibilities) 

• Build and maintain dbt models that transform raw CS source data from systems like Salesforce, Five9, Intercom, NICE, and LevelAI into clean, analytics-ready datasets across CS domains including Customer 360, case management, omnichannel interactions, and agent performance.
• Design and own the semantic and metrics layer for CS KPIs including customer health scores, CSAT, case resolution rates, handle time, and retention signals, ensuring consistent definitions across all reporting surfaces.
• Partner with CS analysts and business stakeholders to translate reporting requirements into reusable, well-documented data models.
• Implement data testing, validation, and observability frameworks to ensure CS data assets are reliable and trustworthy at all times.
• Contribute to self-service analytics enablement by building datasets and semantic models in Snowflake and Sigma/Hex that allow CS analysts and operations leaders to answer questions independently.
• Collaborate with Data Engineers to ensure upstream pipeline outputs are modeled correctly and fit for purpose for analytics use cases.
• Establish and enforce data modeling standards, naming conventions, and documentation practices that scale as the team grows.
• Support AI and ML use cases by building clean, structured feature datasets for customer health scoring, churn prediction, and agent assist models.
• Participate in code reviews, design discussions, and technical architecture planning to continually raise engineering standards.
• Ensure data pipelines, storage, and access patterns adhere to BTT data standards, security policies, and compliance requirements.
• Partner with BTT governance forums to align on design patterns, data architecture decisions, and SLA expectations.
• Maintain documentation and metadata for all data assets in accordance with established governance processes.

What you'll need to thrive (Requirements)

• 5 or more years of experience in analytics engineering, data engineering, or a related role with a strong focus on data modeling and analytics infrastructure.
• Expert-level SQL and hands-on experience with dbt for building and maintaining data models in a cloud data warehouse environment.
• Experience with Snowflake or a comparable modern data warehouse such as BigQuery or Redshift.
• Familiarity with BI and analytics tools such as Sigma, Hex, Tableau, or Looker.
• Strong understanding of dimensional modeling, metrics layers, and analytics-ready dataset design.
• Ability to translate ambiguous business requirements from non-technical CS stakeholders into clean, scalable data models.
• Demonstrated ability to implement data quality testing, monitoring, and documentation as a standard practice.
• Demonstrated ability to communicate technical tradeoffs and data concepts clearly to non-technical stakeholders, including operations and business leaders.
• Collaborative working style with experience partnering across Data Engineering, Analytics, and business operations teams.
• Strong problem-solving skills, attention to detail, and a drive to build scalable, reliable systems.
  
  

What will help you stand out (Non-essential Skills/Nice to Haves)

• Experience building and optimizing data systems that operate at significant scale, managing billions of records across multiple data domains and systems, with the foresight to design for 5-year growth and future platform scale.
• Comfort using AI-assisted development tools such as GitHub Copilot, Claude, or Snowflake Cortex AI to accelerate pipeline development, testing, and documentation, and curiosity about how GenAI can enhance data product quality.
• Experience with real-time data streaming using Kafka, Kinesis, or Pub/Sub.
• Exposure to data governance, metadata management, and observability tools.
• Background in SaaS or Customer Success analytics, including usage data, retention metrics, and customer health.
• Experience working with CS or CX-adjacent source systems such as Salesforce, Five9, Intercom, or similar CCaaS/CRM platforms, and familiarity with the data models and integration patterns they produce.
• Knowledge of data security, privacy, and compliance in cloud environments.
• Experience with CI/CD, infrastructure as code, or containerization such as Docker or Terraform.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

About Toast

At Toast, we're building the restaurant platform that helps restaurants adapt, take control, and thrive. The Customer Success (CS) organization plays a pivotal role in helping customers get the most out of our products and we're transforming our data capabilities to drive a new era of proactive, data-informed customer engagement. 

The CS Data & Analytics team is at the center of this transformation, building the data infrastructure that makes proactive, data-informed customer engagement possible at scale for ~150,000 restaurant locations.

Role Overview

You'll be a founding member of a newly chartered data engineering function within Customer Success with a direct hand in shaping the architecture, tooling, domain model, and team culture from day one. This is a rare opportunity to build something from greenfield, with visibility to VP and senior CS leadership.

As a Data Engineer on the Customer Success Data & Analytics team, you’ll design, build, and scale the data platforms and pipelines that power insights across our Customer Success organization. Reporting to the Director of Data Infrastructure & Engineering, you’ll work closely with Data Infrastructure, Analytics, Engineering, and Product teams to ensure high-quality, reliable data is accessible and actionable.

This is a hands-on engineering role focused on delivering production-grade, scalable, and reliable data systems that support analytics, reporting, and operational decision-making across Customer Success.

A day in the life (Responsibilities) 

• Design, build, and maintain scalable, production-ready data pipelines (batch and real-time) for Customer Success using modern data technologies.
• Develop and evolve data models and schemas that enable reporting, analytics, and machine learning across Customer Success functions.
• Partner with CS operations leaders across care, workforce, and CX to translate business requirements into pipeline and infrastructure priorities, ensuring data work is directly connected to customer retention and operational outcomes.
• Ensure data quality, observability, lineage, and governance are built into every data workflow.
• Implement best practices for cost-efficient, performant cloud-based data infrastructure.
• Contribute to data platform tooling and frameworks that support self-service analytics and reusability across teams.
• Actively monitor and optimize data workflows for reliability, scale, and maintainability.
• Collaborate with cross-functional stakeholders to define and track key metrics and ensure consistent data definitions.
• Participate in code reviews, design discussions, and technical architecture planning to continually raise engineering standards.
• Build and maintain semantic and metrics layer foundations (e.g., dbt metrics, Snowflake semantic layer) that enable consistent, reusable definitions of CS KPIs across reporting and analytics surfaces.
• Contribute to the design and evolution of the CS data domain model including Customer 360, omnichannel interaction data, case management, and agent performance in close partnership with cross-functional stakeholders.
  
  

Governance & Standards

Partner with Toast's Business, Technology & Transformation (BTT) organization to establish data governance practices, security policies, and architecture standards that will serve as the foundation for CS data infrastructure. As a founding team member, you'll help define the norms, not just follow them.

• Ensure data pipelines, storage, and access patterns adhere to BTT data standards, security policies, and compliance requirements.
• Partner with BTT governance forums to align on design patterns, data architecture decisions, and SLA expectations.
• Maintain documentation and metadata for all data assets in accordance with established governance processes.
  
  

What you'll need to thrive (Requirements)

• 5+ years of experience in data engineering, software engineering, or a related role building and maintaining data systems in production.
• Strong SQL skills and experience with a programming language such as Python, Scala, or Java.
• Hands-on experience with cloud-based data platforms (AWS, GCP, or Azure).
• Experience building and optimizing ETL/ELT workflows using tools such as Airflow, dbt, or similar orchestration frameworks.
• Deep understanding of data modeling, data warehousing, and pipeline design.
• Ability to write clean, maintainable, and well-tested code for data transformations and automation.
• Demonstrated ability to communicate technical tradeoffs and data concepts clearly to non-technical stakeholders, including operations and business leaders.
• Proven ability to work collaboratively with analytics, operations, and engineering teams.
• Strong problem-solving skills, attention to detail, and a drive to build scalable, reliable systems.
  
  

What will help you stand out (Non-essential Skills/Nice to Haves)

• Experience building and optimizing data systems that operate at significant scale, managing billions of records across multiple data domains and systems, with the foresight to design for 5-year growth and future platform scale.
• Comfort using AI-assisted development tools (e.g., GitHub Copilot, Claude, Snowflake Cortex AI) to accelerate pipeline development, testing, and documentation and curiosity about how GenAI can enhance data product quality.
• Experience with real-time data streaming (Kafka, Kinesis, or Pub/Sub).
• Familiarity with modern data warehouse/lakehouse technologies (e.g., Snowflake, BigQuery, Redshift, Delta Lake).
• Experience with CI/CD, infrastructure as code, or containerization (e.g., Docker, Terraform).
• Exposure to data governance, metadata management, and observability tools.
• Background in SaaS or Customer Success analytics (usage data, retention metrics, customer health).
• Experience working with CS or CX-adjacent source systems such as Salesforce, Five9, Intercom, or similar CCaaS/CRM platforms and familiarity with the data models and integration patterns they produce.
• Knowledge of data security, privacy, and compliance in cloud environments.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

How you will make an impact:

As a Software Engineer II at Iterable, you'll independently develop, maintain, and deliver moderate-complexity projects on your team. You'll be working with the Delivery team which builds and maintains the pipeline responsible to getting messages to end users on time. Ultimately, we help enable our customers to provide relevant, timely, and joyful experiences to their own users.

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You are recognized as a subject matter expert in a particular focus area and consistently demonstrate high-quality, on-time delivery. You take ownership of the full lifecycle of your code — from design through production monitoring and maintenance. One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You'll get to:

• Execute on core work with minimal guidance in a way that increases team velocity while maintaining high quality
• Break down projects into milestones, provide accurate cost estimates, and proactively keep stakeholders informed
• Architect and develop solutions on a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Write well-structured, maintainable, documented, and tested code with an eye toward future reuse and modularization
• Diagnose and fix tricky bugs, prevent incidents through appropriate testing, and maintain a track record of drama-free deploys
• Provide in-depth code reviews and contribute to design reviews with respectful, effective communication
• Recognize potential scalability issues, bring them to the Architecture Support Group (ASG), and participate in remediation
• Collaborate actively to unblock teammates, give and receive hard feedback with respect and empathy, and solicit input from people of diverse backgrounds
• Participate in recruiting and develop effective interviewing skills

We are looking for people who have:

• 3+ years of relevant software development experience
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience building production-ready, scalable web applications
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems
• Strong interpersonal skills and the ability to collaborate in a highly remote/distributed environment
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning — always improving yourself and the team around you
• Willingness to take on-call responsibilities
• Fluency in English (verbal and written)

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis, CRDB
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points:

• Experience with end-to-end, integration, and performance testing
• Exposure to enterprise systems

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $114,500 - $188,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

The Toast POS app is the central pillar of Toast’s restaurant products. Every day, hundreds of thousands of servers, hosts, bartenders, and chefs use Toast’s POS to serve millions of guests. Our POS product is constantly evolving, and the POS Productivity team builds the platform that makes this evolution possible.

Our mission is to make it as easy as possible for 150+ Android engineers to develop new features and deliver them with high confidence and quality. We are customer-obsessed—our customers are our fellow developers, and luckily for us, they are just a Slack message away! We strive to make it easy for people to do the right thing by default.

The team manages a broad technical domain, including CI/CD, the local developer experience, and release engineering for the POS app. Its projects cover Android app development, Java and Kotlin Cloud services in AWS, React UIs, and more. The team is an excellent fit for Android engineers with experience with mobile DevOps–CI/CD, and build and release processes.

The team’s current primary goals are boosting build speeds and significantly reducing our lead time to value by optimizing POS developers’ build/test cycles, and making updates to the mobile app release platform to allow Toast to manage concurrent releases across multiple projects.

A day in the life (Responsibilities)

• Technical Leadership: Act as an IC leader, taking ownership over the team’s domain, health, and ongoing efforts. Promote a positive, engaged engineering culture.
• Strategic Problem Solving: Don’t just move from project to project; systematically identify the highest ROI problems to solve and build alignment with stakeholders across the organization.
• Team Building & Mentoring: Actively build the team and mentor engineers to grow their technical and professional skills.
• Execution Excellence: Deliver rapid, high-quality output, leveraging AI tooling to accelerate development and improve code quality.
• Metrics & Observability: Define what “good” and “better” look like using high signal-to-noise metrics. Proactively identify ways to reduce ad-hoc toil and improve system health.
• Collaborative Problem Solving: Partner closely with the developer community, release manager and QA functions to develop DevEx, feature flag (FF) management and release strategies.
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• Deep experience with Android development and a strong interest in full-stack work (Java/Kotlin Cloud services, React UIs).
• Proven experience in mobile CI/CD and release engineering, particularly with Jenkins and Gradle.
• A self-starter who takes initiative without waiting for direction and thrives in a fast-paced environment.
• Passionate about improving the day-to-day lives of fellow engineers and removing friction from their workflows.
• Ability to explain complex technical tradeoffs to diverse audiences and build consensus among technical leads.
• Experience using AI tools to enhance productivity and a drive to automate "the right thing" by default.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

#LI-REMOTE

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Who We Are

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.

Toast Now is the app that puts the power of the entire Toast platform into the pockets of restaurant managers and operators everywhere. Using their own phones, managers can track the performance of their restaurant in real-time during service and fine-tune restaurant operations from the floor of their restaurant. This app also helps staff rapidly diagnose and fix unexpected issues with the help of Toast Customer Care. By leveraging native mobile apps, we provide a rich UX that makes it easier than ever to run a thriving restaurant with great service for guests and a strong bottom line. 

Our team is agile and customer-obsessed. We have high standards for customer satisfaction, and we strive to deliver high quality features in rapid iterative cycles.

About this roll* (Responsibilities) 

As an SE3, you aren't just a contributor; you’re a key ingredient in our technical leadership. You will:

• Drive the end-to-end delivery of complex features, from initial technical design and "proof of concept" to global rollout.
• Champion best practices for Android development, ensuring our CI/CD pipelines and testing cultures are top-tier.
• Partner closely with UX and PM to slice through ambiguity and find the most efficient ways to deliver user value.
• Act as a technical leader for more junior engineers, conducting thoughtful code reviews and fostering a culture of continuous learning.

Do you have the right ingredients?* (Requirements)

• Typically 5+ years of professional software development experience, with a proven track record of shipping high-impact native Android apps.
• Deep knowledge of the Android SDK, Kotlin, and modern architectural patterns (MVVM, MVI).
• Experience working with backend technologies like GraphQL and Kotlin microservices (expect 70/30 between Android and backend).
• Experience with automated testing (Unit, Integration, and Espresso)  in an agile environment.
• Excellent cross-team communication skills on complex technical topics.
• Passionate about technology and learning new things.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

#LI-REMOTE

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. We are looking for a Staff Software Engineer to join the Orders Cloud Sync Team.

On the Orders Cloud Sync Team, our mission is to provide a state of the art platform for processing and synchronizing changes to orders that enables Toast to build complex and customizable workflows for our customers.

As a Staff Software Engineer on this team, you’ll play a key role in designing and implementing new features, evolving our architecture and tooling to ensure efficient high-quality delivery, and working with many other Toast R&D teams to bring high-visibility product experiences to life, ensuring that over 1 billion order changes per week across over 150,000 customers are processed quickly and accurately.

A day in the life (Responsibilities)

• Design, build, deploy, and maintain highly resilient and scalable systems that are critical to our customers’ success
• Lead complex projects that span multiple teams to improve functionality and reliability for our customers
• Design solutions that anticipate and accommodate future needs while considering tradeoffs
• Effectively communicate technical direction, guide our team through execution while driving team quality practices
• Act as a force multiplier in improving engineering productivity
• Diagnose performance bottlenecks and implement optimizations
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• You are respectful, empathetic, and humble
• You have experience presenting complex project plans and helping teams realize them
• You have experience shipping complex mission critical production services
• You have ownership over complex high-scale systems and experience scaling distributed systems
• You have a growth mindset with an emphasis on improving yourself and your functional area
• You are viewed as a leader in your functional area and are trusted to make technical decisions that impact short and long term business objectives

Our Tech Stack

Our products run on a stack that ranges from guest and restaurant-facing Android tablets, to backend Kotlin and Java services, to internal, guest-facing, and restaurant-facing web apps. Our backend services follow a microservice architecture written using Kotlin/Java and DropWizard; we use AWS extensively, ranging from DynamoDB to RDS to Lambda. We have our own platform for dealing with user management, canary deployments, and robust load balancing. We store data in a set of sharded Postgres databases and utilize Apache Spark for large scale data workloads including query and batch processing. The web front-end is built using React and ES6. Our main point of sale application is an Android application written in Java and Kotlin. For data between tablets and our cloud platform, we rely on Pulsar event driven architecture along with some RabbitMQ clusters as well as direct tablet communication to the back end.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

#LI-REMOTE

How you will make an impact:

As a Senior Software Engineer at Iterable, you'll be responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive for non-technical users is extremely important. 

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You will be working with the Analytics Application team that provides accurate and actionable insights to our customers so that they can establish a clear understanding of the effectiveness of their marketing efforts. Ultimately, we help enable our customers to provide the most relevant and joyful experiences to their own users.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You’ll get to:

• Own the backend of the product with a huge amount of autonomy
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Provide direction for your team and guide standards across the Engineering organization
• Improve Engineering processes, tooling, and efficiency
• Mentor and guide team members 

We are looking for people who have:

• Relevant industry experience building production-ready, scalable web applications
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems. 
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points

• Experience with large-scale performance testing 
• Experience with data processing and advanced methodologies
• Experience with functional programming and the JVM
• Experience using AI IDEs or workflows

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

New Leaf Energy, Inc. is seeking civil/environmental engineering juniors and seniors for Intern roles on our Civil Engineering team. The Civil Engineer Intern will work with a team of engineers to assist in reviewing and designing renewable energy projects (solar PV, energy storage, wind).

This internship can be filled from our Lowell, MA office We are offering a summer 2026 internship timeline.

We value in-person collaboration and offer a hybrid work environment. Interns will work in-office weekly on Tuesday, Wednesday and Thursday.

Primary duties will include but not limited to assisting in:

• Site due diligence and research of bylaws;
• Creation of plan sets (CAD);
• Site civil and stormwater design;
• Permit applications;
• General project support tasks.

Requirements

While no one individual will possess them all, the successful candidate will bring many of the following experiences, skills, and attributes. If you’re unsure of whether you meet enough of the qualifications below but believe that your college work and skillset is a good match for this position, we invite you to apply!

• Enrolled in a 4-year ABET accredited bachelor's degree in Civil Engineering or equivalent;
• On-track to take the Fundamentals of Engineering exam for EIT Certification;
• In, or entering into, third or fourth year of college program;
• Knowledge of AutoCAD, Civil 3D, and HYDROCAD or an equivalent tool;
• Ability to work in ad-hoc teams and take direction;
• Ability to occasionally visit project sites;
• Passionate about renewable sources of energy;
• Preference to extend the internship to at least six months (reduced hours during the academic year).

Compensation

Under our compensation framework, the hourly salary in our Lowell location is $26.50.

This position is not eligible for benefits with New Leaf Energy. 

New Leaf Energy, Inc. is seeking civil/environmental engineering juniors and seniors for Intern roles on our Civil Engineering team. The Civil Engineer Intern will work with a team of engineers to assist in reviewing and designing renewable energy projects (solar PV, energy storage, wind).

We plan to hire an intern in our Lowell, MA office and one in our Boston, MA office for summer 2026, starting in early June.

We value in-person collaboration and offer a hybrid work environment. Interns will work in-office weekly on Tuesday, Wednesday and Thursday.

Primary duties will include but not limited to assisting in:

• Site due diligence and research of bylaws;
• Creation of plan sets (CAD);
• Site civil and stormwater design;
• Permit applications;
• General project support tasks.

Requirements

While no one individual will possess them all, the successful candidate will bring many of the following experiences, skills, and attributes. If you’re unsure of whether you meet enough of the qualifications below but believe that your college work and skillset is a good match for this position, we invite you to apply!

• Enrolled in a 4-year ABET accredited bachelor's degree in Civil Engineering or equivalent;
• On-track to take the Fundamentals of Engineering exam for EIT Certification;
• In, or entering into, third or fourth year of college program;
• Knowledge of AutoCAD, Civil 3D, and HYDROCAD or an equivalent tool;
• Ability to work in ad-hoc teams and take direction;
• Ability to occasionally visit project sites;
• Passionate about renewable sources of energy;
• Preference to extend the internship to at least six months (reduced hours during the academic year).

Compensation

Under our compensation framework, the hourly salary in our Boston location is $26.50.

This position is not eligible for benefits with New Leaf Energy. 

Position Overview:

We are looking for a Senior Full-Stack Engineer to join the team building Nova’s agentic experiences within the Iterable platform. This team is responsible for the full end-to-end development of conversational and agent-driven workflows, including the interaction surfaces, orchestration layers, and core platform integrations that make these experiences seamless and intuitive for users.

In this role, you will work across the stack to build both frontend and backend components that bring agentic capabilities to life. You will collaborate closely with design, product, and engineering partners to deliver high-quality, user-centered features. This position is well-suited for someone who enjoys solving complex product and technical problems, can navigate ambiguity, and brings a strong sense of ownership to their work.

Responsibilities:

• Build and iterate on the frontend and backend components that power agentic user experiences.
• Collaborate with design and product teams to create intuitive, conversational interaction patterns.
• Work across the stack to integrate frontend workflows with backend services, platform APIs, and internal tooling.
• Contribute to the evolution of underlying frameworks, including agent workflows and supporting infrastructure.
• Participate in architectural and design discussions to ensure solutions are scalable, maintainable, and aligned with product goals.
• Write high-quality, well-tested code and help refine engineering standards and best practices.
• Debug production issues, improve observability, and contribute to system reliability.
• Partner with other engineers to deliver features from concept to production, including technical design, implementation, testing, and rollout.

Qualifications:

• 5+ years of experience building full-stack applications in production environments.
• Strong proficiency with TypeScript and experience working across both frontend and backend systems.
• Experience with modern frontend frameworks (React preferred) and backend application development.
• Ability to design clean, maintainable APIs and internal interfaces.
• Strong collaboration skills and comfort working closely with product and design.
• Ability to operate independently, manage ambiguity, and drive work to completion.
• Interest in building intelligent, agent-driven experiences, even without prior LLM experience.

Bonus Points

• Experience contributing to or building internal frameworks or developer tooling.
• Familiarity with agent frameworks, agentic patterns, or LLM tool-calling workflows.
• Strong intuition for UI/UX quality in interactive interfaces.
• Experience with observability, performance tuning, or production debugging at scale.
• Experience with event-driven or distributed systems.
• Prior experience working in remote-first engineering environments.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Position Overview:

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning foundations that power Nova’s agentic experiences. This role focuses on applied Machine Learning in production environments: retrieval systems, evaluation frameworks, and model integration layers that make AI features reliable, scalable, and repeatable. You will design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.

You will work closely with backend, frontend, and product teams to shape how Machine Learning is introduced and maintained across the company. The work blends hands-on engineering with system design, and is ideal for someone who can drive complex efforts independently, make practical architectural decisions, and collaborate in a fast-moving, cross-functional product environment.

Responsibilities:

• Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.
• Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
• Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.
• Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
• Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
• Prototype applied ML solutions to validate feasibility before investing in full builds.
• Ensure secure, robust handling of data used in ML workflows and retrieval operations.
• Collaborate with product, design, and engineering to align ML system design with user experience and product goals.
• Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.

Qualifications:

• 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
• Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
• Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
• Prior work integrating ML or LLM-powered features into production applications.
• Understanding of ML evaluation techniques, experimentation design, and failure analysis.
• Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.
• Strong communication and collaboration skills in a distributed environment.

Bonus Points

• Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
• Prior work with embeddings, search–ranking systems, or advanced RAG architectures.
• Familiarity with event-driven systems or streaming architectures.
• Experience with model observability, performance monitoring, or proactive regression detection.
• Background in personalization, recommendations, or applied NLP.
• Experience working in remote-first engineering teams.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

Our Data In Flight (DIF) team owns the core pipelines that ingest and route user and event data into Iterable, powering identity, segmentation, and real-time personalization. We are building a multi-tenant data platform that application teams can build on top of, with clear contracts, SLOs, and guardrails. Our product and our Elasticsearch clusters are multi-tenant, and we run Elasticsearch on Kubernetes using Elastic Cloud on Kubernetes (ECK).

We’re looking for a Staff Software Engineer with a track record of operating Elasticsearch-backed data platforms in multi-tenant SaaS. You’ll be a hands-on IC who both designs distributed systems and acts as a platform “product owner” for app teams: understanding their needs, shaping the platform roadmap, and defining stable interfaces between product and data infrastructure.

How you will make an impact:

• Own and evolve core Data In Flight services (ingestion, user and event APIs, identity, system events) with a focus on reliability, performance, and cost.
• Lead the Elasticsearch strategy for our multi-tenant live user and event data: index and mapping design, shard strategy, and safeguards across shared clusters.
• Design and enforce platform contracts (APIs, data models, SLAs, and usage limits) that let product teams move quickly while keeping the data platform safe and scalable.
• Work across other data and application teams on initiatives such as Elasticsearch upgrades, guardrails, resharding, and event retention.
• Provide senior technical leadership during incidents and reviews, turning operational learnings into durable platform improvements.
• Mentor engineers on distributed systems, data modeling, and pragmatic use of Elasticsearch.

What you'll bring:

You likely have many of the experiences below, but not necessarily all of them:

• Hands-on Elasticsearch expertise in production:
• Supporting customer-facing features or platforms backed by ES
• Designing schemas and queries for high-cardinality, multi-tenant workloads
• Operating large clusters (capacity planning, scaling, incident response)
• Multi-tenant platform experience:
• Building shared data services used by multiple product teams
• Implementing rate limits, quotas, and noisy-neighbor protections
• Thinking in terms of contracts and SLOs, not one-off integrations
• Strong distributed systems background:
• JVM-based services (Scala/Java) and event-driven or streaming architectures
• Comfort with modern cloud infrastructure (AWS or similar), messaging, and caches
• Staff-level impact and collaboration:
• Leading cross-team projects from design through rollout
• Translating technical decisions into clear business and product trade-offs
• Clear written communication (RFCs, design docs, post-incident reviews)

Nice To Have:

• Experience with Scala and the Play framework or similar JVM stacks.
• Prior work on core user data platforms (identity, profile stores, event pipelines, or CDP-like systems).
• Exposure to FinOps / infra cost optimization in data-heavy systems.
• Experience in MarTech / AdTech or other high-volume, low-latency data domains.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $156,00 - $242,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

In the first three months you will... 

• Develop a deep understanding of VEIR’s medium voltage cable technology, termination units, and cryogenic cooling systems. 
• Learn about VEIR’s current and future product offerings, performance characteristics, and system integration requirements. 
• Build foundational knowledge of VEIR’s target markets, including utility, renewable, and data center power distribution applications. 
• Shadow customer and partner meetings to observe how VEIR positions its technology and communicates technical value. 
• Begin developing familiarity with electrical schematics, protection and control diagrams, and substation interconnection design practices. 

In the first six months you will... 

• Take ownership of technical scoping conversations with customers and partners, identifying where VEIR’s medium voltage technology can be applied. Specifically identifying compatible substations equipment to interconnect our cables. 
• Review and interpret customer design packages (one-lines, site plans, protection and control schemes) to assess integration opportunities. 
• Collaborate with VEIR’s engineering and product teams to translate customer needs into defined technical requirements and early project concepts. 
• Support the development of technical presentations, application notes, and customer proposals. 
• Contribute to pilot opportunity identification by mapping VEIR’s capabilities to upcoming customer or market projects. 

By the end of your first year you will... 

• Serve as the primary technical liaison for selected customer engagements or pilot projects. 
• Lead design reviews and integration discussions with EPCs, utilities, and data center engineering teams. 
• Help guide the engineering and product teams in refining system designs based on customer feedback and field insights. 
• Represent VEIR at customer sites, industry events, and design meetings to advocate for the adoption of VEIR’s technology. 
• Contribute directly to securing VEIR’s first medium voltage pilot or commercial project, helping bring superconducting cable solutions to market. 

To be successful in this role... 

• A Bachelor’s degree in Electrical Engineering (Civil or Mechanical Engineering considered with relevant experience). 
• 5-10 years of experience in electrical design or field engineering related to medium voltage systems (sub 69kV), substation design, or power transmission & distribution. 
• Familiarity with one-line diagrams, and electrical interconnection design and protection and control schemes. 
• Experience specifying and selecting substation switchgear.  
• Experience supporting construction or project execution activities (EPC, owner’s engineer, or similar). 
• Familiar with NESC, NEC, IEEE, IEC standards. 
• Familiar with standards for power and transmission distribution systems. 
• Strong understanding of power system fundamentals, equipment ratings, and interconnection standards. 
• Excellent communication and interpersonal skills, with the ability to work effectively with both customers and internal engineering teams. 
• (Nice to have) Prior experience as a Field Engineer or involvement in installation, testing or commissioning medium voltage equipment or systems. 

VEIR is committed to equal pay for equal work in its compensation practices. The base salary range for this position in the U.S. is $140,000 - $165,000 per year + equity + benefits. A candidate's salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location.