Principal Product Manager – Pricing & Monetization

• Lead the strategy and execution of SmartBear’s transition from seat-based SaaS to AI-informed, consumption-based pricing models across a multi-product portfolio.
• Own monetization architecture including pricing models, value metrics, and revenue mechanics impacting ARR and NRR.
• Partner cross-functionally with Product Marketing, Finance, Sales, and Data to design scalable, data-driven pricing strategies in a PE-backed environment.

As Principal PM for Pricing & Monetization, you will own the strategy and execution of SmartBear’s transition from seat-based SaaS licensing to consumption-based models — across a multi-product portfolio in a PE-backed, growth-focused environment.

You will own the monetization architecture: the pricing models, value metrics, financial structures, and revenue mechanics that underpin how SmartBear captures value. You will use AI-powered modeling and rigorous data analysis to drive decisions that directly impact ARR, NRR, and long-term monetization health. You’ll work without direct reports but with significant cross-functional authority, presenting regularly to senior leadership and PE sponsors.

This role is focused on designing monetization systems and pricing architecture at scale.

What you will do:

• Own the pricing model architecture across the portfolio, including defining value metrics and pricing structures.
• Lead the SaaS to consumption transition, including migration strategy, customer segmentation, and revenue optimization.
• Build and apply AI-driven pricing models to simulate scenarios, test hypotheses, and inform monetization strategy.
• Partner with PMM, Finance, Sales, Engineering, and Data to operationalize pricing models through systems, processes, and governance.
• Act as the central authority on monetization, supporting executive decision-making and board-level discussions.
• Guide complex deal structures and enterprise pricing decisions in collaboration with Sales and Deal Desk.

About the Role:

• Define and own SmartBear’s consumption pricing strategy across the product portfolio, identifying optimal value metrics (e.g., API calls, test runs, usage-based signals).
• Design pricing structures including consumption, hybrid, committed use, and outcome-based models, modeling financial and customer impact.
• Establish pricing frameworks including rate cards, discounting structures, and monetization inputs in partnership with Finance and Sales.
• Lead the transition from seat-based SaaS to consumption models, including migration strategies, customer segmentation, and risk mitigation.
• Lead the application of AI and LLM-driven approaches to pricing, including building advanced models to simulate elasticity, cohort behavior, and revenue outcomes, and using AI to accelerate decision-making and competitive insight generation.
• Partner with senior leadership and PE stakeholders, contributing to board-level discussions and presenting monetization strategy and performance.

Reporting Line:

• This role reports to the Chief Product & Technology Officer and operates as a high-impact individual contributor with significant cross-functional influence.

We are looking for you if you have:

• Demonstrable experience and success in pricing, and monetization, focused on SaaS pricing model design.
• Proven track record leading SaaS-to-consumption or usage-based pricing transformations.
• Strong hands-on experience leveraging AI/ML tools and LLMs to build pricing models, run scenario simulations, and drive data-informed monetization decisions.
• Deep expertise in SaaS monetization models including usage-based, hybrid, enterprise agreements, and multi-product pricing.
• Self-sufficiency in data-wrangling and data-modeling (e.g. BI skills, DB programming, or Python), Ability to demonstrate how you have successfully used AI to model and improve pricing models Strong financial modeling skills with proficiency in Excel/Sheets and familiarity.
• Additional experience that will set you apart
  • Experience in multi-product or PE-backed SaaS environments where pricing decisions span a product family.
  • Background in developer tools, API platforms, testing, or observability.
  • Experience working in or alongside a PMM organization with a clear PM/PMM ownership split on pricing vs. packaging.
  • Experience presenting monetization strategy to C-suite or PE board audiences.

Why you should join the SmartBear crew:

• You can grow your career at every level.
• We invest in your success as well as the spaces where our teams come together to work, collaborate, and have fun.
• We love celebrating our SmartBears; we even encourage our crew to take their birthdays off.
• We are guided by a People and Culture organization - an important distinction for us. We think about our team holistically – the whole person.
• We celebrate our differences in experiences, viewpoints, and identities because we know it leads to better outcomes.

Did you know?

• Our main goal at SmartBear is to make our technology-driven world a better place.
• SmartBear is committed to ethical corporate practices and social responsibility, promoting good in all the communities we serve.
• SmartBear is headquartered in Somerville, MA with offices across the world including Galway Ireland, Bath, UK, Wroclaw, Poland, Ahmedabad and Bangalore, India.
• We’ve won major industry (product and company) awards including B2B Innovators Award, Content Marketing Association, IntellyX Digital Innovator and BuiltIn Best Places to Work.

SmartBear is committed to creating an inclusive workplace for employees where all individuals are treated with respect and dignity. We are an equal opportunity employer and make employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex, national origin, age, gender, disability, veteran status, sexual orientation, or any other protected status under applicable laws. We are dedicated to fostering a workplace that reflects a diversity of thought and experience as well as our values of being smart, open, driven, accountable, and curious.

ABOUT THE TEAM:

ArsenalOS is the digital backbone of Anduril’s hardware enterprise. It connects the full lifecycle, from concept to build to field feedback, into one operating environment built for speed, traceability, autonomy, and continuous improvement. That environment includes not just the software used to design, plan, and execute work, but also the factory-facing infrastructure that connects operators, machines, test systems, and OT networks into the same adaptive Build Chain. It is not a support function, but rather a strategic investment by Anduril that the operating system of the hardware lifecycle is how we win. It will be one of the mechanisms by which Anduril out-builds, out-adapts, and out-scales the traditional defense industrial base.

ABOUT THE JOB:

We are looking for a Staff Software Engineer to join our QualityOS team within Forge MES (Manufacturing Execution System). As a Staff Engineer, you will set the technical direction and architectural standards. You'll architect and implement mission-critical distributed systems that scale Anduril's manufacturing operations while maintaining the technical bar for reliability, performance, and maintainability.

Your impact will span beyond the immediate team. You'll serve as a technical bridge between the QualityOS product team and our Platform/Foundations organization, ensuring we build on solid infrastructure while influencing platform capabilities to meet manufacturing needs. You'll represent the quality domain in broader MES architectural decisions, contributing to technical strategy that affects multiple product teams.

We're looking for someone who combines deep technical expertise with strong collaborative instincts—someone who can dive into complex distributed systems, establish patterns that others follow, and drive consensus across engineering teams. You'll balance hands-on technical execution on critical features with raising the technical standards of the team through architecture reviews, code quality, and operational excellence. Your decisions will have lasting impact on how Anduril scales manufacturing quality systems into a next-generation defense company.

WHAT YOU'LL DO

Technical Architecture & Execution:

• Define and drive technical architecture for QualityOS - make decisions on system design, scalability patterns, integration strategies, and platform vs. build tradeoffs that shape team execution
• Architect and implement complex distributed systems - build mission-critical services, APIs, and tooling that enable safe, fast delivery across manufacturing quality workflows
• Lead by example with engineering excellence - establish patterns through hands-on work: comprehensive testing, deployment safety (blue/green/canary), infrastructure as code, observability, and operational rigor

Cross-Team Influence & Collaboration:

• Bridge product and platform teams - collaborate with Platform/Foundations to shape shared infrastructure based on QualityOS needs while driving adoption of platform capabilities
• Partner across MES product teams - integrate QualityOS into cohesive manufacturing experiences, evolve data models across quality/production domains, and drive technical consensus on cross-cutting concerns
• Represent quality domain technically - work with architecture, security, operations, and infrastructure teams to ensure quality requirements influence broader technical decisions

Team & Technical Standards:

• Raise the technical bar for the team - through rigorous code review, architecture discussions, establishing shared ownership models, and improving practices that balance velocity with correctness
• Remove friction and unblock execution - identify systemic technical issues, eliminate single points of failure, and create leverage through automation and improved tooling

REQUIRED QUALIFICATIONS

• 12+ years of experience in a software engineering role building products in fast-paced environments
• Proven ability to influence technical direction across teams - drive architectural consensus, build alignment, and lead technical initiatives beyond a single team
• Experience working with large enterprise applications and platforms with high availability requirements
• Strong full-stack capabilities with expertise in modern web technologies - JavaScript/TypeScript, React, and web frameworks (Next.js, Remix, etc.)
• User-focused engineering mindset - ability to translate user needs into technical solutions while balancing user experience with engineering constraints
• Excellent communication skills, able to influence stakeholders, translate ambiguous requirements and build cross-team alignment.
• U.S. Person status is required as this position needs to access export controlled data

PREFERRED QUALIFICATIONS

• We encourage people from all backgrounds to apply but our tech stack uses AWS, Typescript, and React/Remix so familiarity with all of these tools will be particularly helpful
• Experience in hyper growth startup-like environments. Demonstrated successes in scaling and maturing software development processes, team culture and methods, and ability to balance short-term and long-term trade offs
• Manufacturing/quality domain knowledge - experience with quality management systems (QMS), manufacturing execution systems (MES), or incident management platforms
• Experience in defense, autonomy, robotics, or mission-critical systems (helpful but not required)
• Experience with AI/LLM integration - leveraging state-of-the-art models and agentic tooling in production software development
• Eligible to obtain and maintain a U.S. TS/SCI clearance

The Director of Revenue Operations – Pipeline & Partnerships is a critical leadership role within ZoomInfo's Revenue Operations organization. This Director will own the operational strategy and the team driving execution behind ZoomInfo's pipeline generation engine, sitting at the intersection of SDR operations, pipeline creation, and partnerships. This role will work closely with SDR leadership, Go-to-Market Engineering, Revenue Enablement, Demand Generation, Partnerships, and Solutions Consulting, while reporting to the VP of Revenue Operations, to ensure operations are scalable, data-driven, and force-multipliers.

What You’ll Do:

Pipeline Operations

• Own the demand generation and pipeline operations — driving pipeline coverage targets across New Business and Revenue & Growth, attribution accuracy, and GTM play execution across Marketing, PLG, and SDR routing
• Design and manage lead and demo routing logic across all pipeline sources, ensuring the right leads reach the right reps at the right time with speed and precision
• Own the operational infrastructure supporting ZoomInfo's Product-Led Growth (PLG) go-to-market motion — including PQL identification, scoring, routing optimization, and handoff workflows between product, marketing, and sales
• Drive attribution accuracy across all pipeline sources, ensuring clean, reliable data that reflects true pipeline contribution by channel and motion
• Partner with Go-to-Market Engineering, Demand Generation and Marketing Ops to align on pipeline coverage targets and ensure GTM plays are operationally executable and measurable
• Identify gaps and inefficiencies across the pipeline creation process and lead cross-functional initiatives to resolve them — deploying automated workflows and intelligent tooling where applicable
• Evaluate, implement, and optimize tools across the pipeline tech stack, including ZoomInfo, 1Mind, Outreach, and other systems ensuring they are configured to maximize pipeline output and data integrity

SDR Operations

• Own the SDR operations — driving inbound and outbound performance, sequencing strategy, speed-to-lead, SLA adherence, rep productivity, agent productivity, and top-of-funnel conversion from first touch to qualified pipeline
• Build and optimize lead prioritization frameworks that leverage intent data, engagement signals, and AI-powered scoring to ensure SDRs and agents are focused on the highest-converting opportunities
• Design and continuously improve outbound and inbound pipeline workflows and follow-up sequences — leveraging automation to reduce manual overhead and improve conversion rates
• Build and maintain dashboards and intelligence that provide real-time visibility into SDR productivity, unit economics, capacity and pipeline coverage and health, and conversion rates; use AI-assisted analysis to surface trends and anomalies proactively
• Partner with SDR leadership to enforce SLA adherence and ensure consistent execution of sequencing strategy across the team

Partnerships & Solution Consulting Operations

• Own the operations for all partner-led revenue motions — including co-sell execution, deal registration, partner pipeline visibility, solution consulting support, and DaaS program performance
• Build and scale operational infrastructure across Channel, Co-Sell, Solution Consulting, and DaaS — with automated processes built into from the ground up
• Define and maintain KPIs for partner-sourced and partner-influenced pipeline, ensuring accurate tracking and reporting with minimal manual intervention
• Collaborate with the Partnership team to develop scalable, automation-first processes that support partner recruitment, activation, and performance management
• Ensure CRM and partner systems are configured to accurately capture and report on partner activity and contribution, with intelligent routing and attribution logic in place

Strategy & Cross-Functional Leadership

• Serve as a strategic thought partner to SDR, Go-to-Market Engineering, Demand Gen, and Partnerships leadership — translating business goals into operational plans built to scale through process and technology
• Lead a team of RevOps managers across pipeline, SDR, and partnerships functions, fostering a culture of experimentation, automation, and continuous improvement
• Drive alignment across teams to drive pipeline definitions, forecasting inputs, and goal-setting
• Champion data integrity and process standardization across all pipeline-related systems and workflows
• Proactively evaluate emerging AI and automation capabilities — including LLM-based tools such as Claude and Claude Code — and bring a clear point of view on where they can meaningfully improve pipeline operations
• Core systems and tools you may be working with: Salesforce, ZoomInfo, 1Mind, Outreach, PartnerStack, Clari, Claude/Claude Code, and other AI and automation platforms

What You Bring:

• 9+ years of experience in Revenue Operations, Partnership Operations, Marketing Operations, or a related field, with at least 5 years in a leadership role
• Proven experience supporting SDR organizations at scale — including sequencing strategy, speed-to-lead, SLA enforcement, and top-of-funnel conversion optimization
• Deep understanding of pipeline operating models, including lead routing design, attribution, PLG motions, and GTM execution
• Experience building or scaling partnerships/channel operations, including co-sell execution, deal registration, partner pipeline visibility, and solution consulting program support
• Deep, hands-on expertise with ZoomInfo,1Mind, Outreach, and PartnerStack — with a strong understanding of how these tools connect across the pipeline and partner motion
• A natural inclination toward automation and AI — you default to building scalable, intelligent solutions rather than manual processes, and have hands-on experience with tools like Claude, Claude Code, ChatGPT, or similar LLM platforms
• Demonstrated ability to design and deploy automated workflows that drive pipeline efficiency and scale, whether through AI agents, no-code/low-code tools, or custom-built solutions
• Deep expertise in Salesforce CRM, including data model, reporting, and workflow configuration
• Strong analytical skills with the ability to translate complex data into clear, actionable insights for senior stakeholders
• Must be self-motivated, have strong self-management skills, and demonstrate leadership qualities
• Proven ability to work cross-functionally across Sales, Marketing, Finance, and Operations
• Experience working in a high-growth B2B SaaS environment preferred

#LI-AP3

#LI-Hybrid

Strategic Account Executive at Unframe 

Location: Boston, MA (Remote)

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re looking for Strategic AEs to join our team and help drive our go-to-market motion. You’ll play a pivotal role in landing our first major customers, shaping our sales playbook, and partnering directly with the VP of Sales and founder to build a high-performance revenue engine.

What you’ll do:

• Lead complex, multi-stakeholder sales cycles into highly regulated industries (FinServ, Healthcare, Manufacturing, Retail) where our on-premises capabilities provide a competitive advantage.
• Build pipeline from zero in an early-stage environment—identify and win strategic enterprise accounts with no hand-raisers or established playbook.
• Translate complex AI/ML capabilities into compelling business outcomes for C-suite stakeholders, positioning Unframe for companies seeking to “buy vs. build” AI capabilities.
• Architect multi-year expansion strategies and build deep relationships across IT, product, and innovation teams.
• Collaborate directly with the VP of Sales and founders to refine the enterprise strategy and influence the product roadmap

What we are looking for:

• 8+ years enterprise software sales with consistent quota over-achievement at Fortune 500 companies
• Proven track record closing $1M+ ACV deals in early-stage environments
• Experience selling complex technical solutions to CIO organizations
• Background in AI/ML platforms, digital transformation, enterprise data platforms, or management consulting
• Entrepreneurial mindset, you thrive in ambiguity, own outcomes, and build from scratch
• Success in highly regulated industries with complex compliance requirements

Nice to have:

• Regulated industry experience, early-stage success

Why join us?

• Compensation is uncapped with aggressive accelerators. At $1M+ ACV deal sizes, this structure rewards over-performance on meaningful deals.
• Our VP of Sales joined Unframe for three reasons: a founder with a proven exit, tier-one investors, and a product that's genuinely different and defensible. The GTM approach backs that up. Buyers get a free POC, tailored to their actual use case, delivered in days. No data sharing, no upfront cost, no six-month consulting engagement before anyone sees value.
• You'll work directly with the VP of Sales and founders, shape GTM strategy, close the deals that define our market position, and hold equity in a company with real institutional backing and momentum.
• We hire with intention. If you thrive in a performance culture with real backing behind you, you will win here.

Ready to Build the Future?

If this opportunity excites you, apply now!

Senior Solutions Architect

Role Summary

Our mission at HubSpot is to help millions of organizations grow better. As a Senior Solutions Architect, you will partner with our most strategic customers to design scalable, AI-powered solutions that drive measurable business outcomes. You'll act as both a trusted technical advisor and hands-on builder, shaping multi-quarter platform strategies while delivering AI powered tools for our team and partners. Your work will directly drive increased platform adoption, accelerate customer usage of HubSpot's AI tools and capabilities, and create reusable solutions that elevate the broader Solutions ecosystem.

What You'll Do

Build

• Drive HubSpot AI adoption by designing, building, and delivering agentic workflows and LLM-powered solutions that create measurable improvements in customer outcomes and increase platform consumption.
• Accelerate stakeholder buy-in by developing working prototypes and proof-of-concept automations that demonstrate clear, quantifiable business value and move customers from evaluation to production.
• Multiply team impact by codifying successful technical patterns into libraries, playbooks, and scaffolds that increase delivery efficiency across the Solutions and Solutions Partner ecosystem.

Advise & Lead

• Increase platform depth and utilization by translating complex, multi-portal business needs into comprehensive, scalable solution strategies across the entire HubSpot ecosystem.
• Expand AI adoption and HubSpot credit consumption by leading solution design for large-scale HubSpot AI deployment projects, identifying opportunities to unify the platform and drive efficiency gains across the customer lifecycle.
• Secure long-term customer investment by developing and championing multi-quarter technical roadmaps, aligning solution choices to business objectives and building value cases that influence director-level and senior stakeholders.
• Solve customers' GTM challenges by owning solution design for complex, multi-hub engagements that deploy agentic AI, leveraging advanced CRM features, APIs, and the broader HubSpot ecosystem.
• Protect delivery outcomes by identifying and mitigating technical risks on high-impact projects, acting as the leading technical voice on product-stretching use cases.
• Shape the HubSpot platform by providing aggregated field insights to Product and Engineering teams that directly influence roadmap decisions.

What You'll Bring

Required Qualifications

• 5+ years of experience in solution architecture, technical consulting, or similar roles within a SaaS environment, with a track record of architecting and delivering complex, business-critical solutions.
• Hands-on experience with LLM tooling: RAG architectures, agent frameworks, prompt engineering, and context management. You have built agentic workflows, not just presented them.
• Strong fluency with APIs, system integrations, and architectural design for scalable and resilient solutions.
• Proven ability to connect technical solutions to business outcomes, and to build clear value cases that secure director-level and senior stakeholder buy-in on complex solution designs.
• Deep, cross-functional understanding of how enterprise systems and processes interconnect, with the ability to orchestrate end-to-end architectures across multiple platforms.
• Strong communication and collaboration skills across technical and non-technical audiences, with experience influencing director-level decisions using data and a clear articulation of trade-offs.
• Demonstrated ability to navigate ambiguity, scope complex problems, and deliver structured solutions in fast-moving environments.

Nice-to-Have Qualifications

• Familiarity with Python/Node.js for backend services, automation pipelines, or API integrations.
• Experience working with CRM platforms or go-to-market technology ecosystems, particularly HubSpot.
• Background in building reusable frameworks, internal tools, or scalable technical assets for broader team use.
• Experience contributing to product feedback loops or directly influencing product roadmaps.

ABOUT THE TEAM:

The Developer Platform team builds the tools and infrastructure that power software development at Anduril. We own the company's primary developer CLI (2,300+ engineers, 93k+ invocations), CI/CD pipelines serving 3,500+ engineers across 23 product lines in the US, Australia, and UK, deployment and release management systems, and Anduril's LLM adoption platform. We are standing up a new agentic development initiative to build the next generation of AI-powered developer infrastructure. The team is growing fast and this is a ground-floor opportunity to define what agentic software development looks like at a company building mission-critical defense systems.

WHAT YOU'LL DO:

• Build multi-agent orchestration infrastructure that moves AI coding agents from individual developer machines to servers executing work autonomously across repositories at company scale
• Design and implement an agent-optimized, real-time knowledge base that gives AI agents deep context on codebases, architecture, and operational patterns
• Build a skills and plugin platform that lets any team encode their domain knowledge into reusable AI capabilities
• Improve CI/CD reliability and developer experience across 23 product lines
• Create release tooling that simplifies shipping software to production environments and robotic platforms
• Operate and evolve Anduril's LLM adoption platform: model rollouts, capacity management, cost attribution, and developer onboarding

REQUIRED QUALIFICATIONS:

• Strong software engineering fundamentals in one or more of: Go, Python, TypeScript
• An entrepreneur, builder, PM, and designer rolled into one. We need people with outstanding software taste who can identify the right problem, design the solution, build it, and ship it in days, not quarters.
• A passion for developer tooling. You notice friction in your own workflow and cannot help but fix it. You spend 4 hours sharpening the axe and 30 minutes chopping wood.
• Demonstrated ability to quickly learn and adapt to unfamiliar technologies across multiple domains
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

PREFERRED QUALIFICATIONS:

• Experience building developer tools, CLIs, CI/CD systems, or platform infrastructure
• Experience with Kubernetes, Nix, or cloud infrastructure (AWS/Azure)
• Genuine interest in LLMs and agentic systems as applied to developer productivity. If you are already building with AI coding agents in your daily workflow, you will feel right at home.
• Prior work on LLM integrations, prompt engineering, or agent frameworks

We are seeking a AI Chief Engineering Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.

We are seeking a Generative AI Chief Engineer Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

Mission Summary:

As a Staff Engineer within the Platform Engineering team, you will be a hands-on technical leader driving the evolution of Motional's global cloud and hybrid infrastructure. Operating as a senior individual contributor, you'll tackle our hardest platform problems directly — designing systems, creating code, and setting technical direction for initiatives that span multiple teams. Your work will help transform our R&D environment into a hardened, cost-efficient, and scalable commercial backbone, and ensure our internal platforms deliver the developer velocity required for rapid AV deployment.

What you'll be doing:

• Design and build major components of our cloud architecture — including networking, storage, compute abstraction layers. You'll own the technical design end-to-end and create code where it matters most
• Drive technical evolution of our Kubernetes-based developer platform. Identify the highest-leverage improvements to scalability, cost attribution, access control, and developer ergonomics — then design and implement them to reduce configuration complexity and accelerate engineering velocity
• Raise the reliability bar across Platform Engineering. Define and implement standards for SLIs, SLOs, observability, and failover, and partner with peer teams to roll them out across platform-layer services
• Drive FinOps practices — cost visibility, attribution, accountability as well as optimization recommendations
• Design and ship AI-native developer experiences by integrating LLM-powered tooling into CI, build systems, monitoring platforms, and local development workflows to remove friction and boost engineering throughput
  
  

What we're looking for:

• Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience)
• 9 years in Software or Infrastructure Engineering, with significant experience in a senior IC capacity
• Deep, expert-level knowledge of Kubernetes internals and ecosystem (Operators (Crossplane, ArgoWorkflow/Airflow, KubeRay), Kubecost/OpenCost, Service Mesh, GitOps and other CNCF projects)
• Proven track record of designing or migrating complex workloads between on-prem data centers and major cloud providers (AWS, GCP, other)
• Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, Datadog)
• Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability
• Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff
  
  

Bonus points (not required):

• Proven expertise in CI/CD orchestration, build systems (Bazel, RBE), frameworks
• Prior experience with large-scale machine learning training pipelines
• Experience leading technical projects in a globally distributed team
• Open-source contributions to Kubernetes, observability, or infrastructure tooling ecosystems

Position Overview:

As the Director of Monetization Strategy, you will be the primary architect of Iterable’s economic engine. You aren't just managing a price list; you are defining how we capture value in a rapidly evolving MarTech ecosystem. You will sit at the intersection of Product, Sales, Finance, and Marketing to design and execute pricing and packaging strategies that drive sustainable growth, expand Net Revenue Retention (NRR), and align our success with our customers' success.

Responsibilities:

• • Strategic Vision: Lead the long-term monetization roadmap. You’ll evolve our current models from usage-based pricing toward value-based frameworks that reflect the power of our AI-driven orchestration.
  • Cross-Functional Leadership: Act as the "connective tissue" between Product (to price new features, and ensure our roadmap is optimized for capturing value), Marketing (to position value), and Sales (to ensure deal velocity).
  • Market Intelligence: Conduct deep-dive competitive analysis and buyer research to identify gaps in our current monetization strategy and capitalize on emerging market trends.
  • Packaging & Tiering: Design and optimize product bundles and editions that simplify the buying process for mid-market and enterprise customers alike.
  • Operational Excellence: Partner with RevOps to implement pricing changes within our systems (CPQ, billing) and develop the discounting frameworks and "guardrails" for the field.
  • Change Management: Lead the internal enablement for global sales teams, ensuring they can confidently articulate the "why" behind our pricing.

Qualifications:

• You have 10+ years of experience in SaaS monetization, management consulting, or strategic finance. You think in systems and understand the downstream impacts of a single pricing lever.
• You have direct experience in SaaS monetization, with a particular focus on monetizing AI
• You are comfortable navigating complex datasets to find the "signal" in the noise. You use data to prove your hypotheses about price elasticity and expansion paths.
• You can distill complex economic theories into simple, persuasive narratives for the Executive Leadership Team (ELT).
• You don't just want a seat at the table; you want to build the table. You enjoy creating processes where none existed.

Bonus Points

• Experience building and productionizing LLM based, agentic or autonomous systems that handle complex orchestration and evaluation.
• Experience establishing shared AI platforms or internal developer enablement capabilities
• Familiarity with analytics systems, experimentation workflows, or decisioning frameworks

Perks & Benefits:

• Paid parental leave
• 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 $172,000 - $260,000. 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.

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

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success.

Datadog’s LLM Observability product enables organizations to monitor, troubleshoot, and optimize large-scale LLM-powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with Datadog customers and the LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments.

At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Serve as the in-house subject matter expert for Datadog’s LLM Observability product
• Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting LLM Observability
• Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community
• Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments
• Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience

Who You Are: 

• You bring a strong software engineering foundation, with hands-on experience building and operating LLM-powered applications in production environments, and are comfortable diving deep into codebases to understand architectural decisions, tradeoffs, and implementation details
• You are familiar with distributed systems and core observability concepts, such as tracing, metrics, and logging, and can translate those patterns into the emerging LLM observability domain, including LLM spans, evaluations, and prompt templates
• You have experience with languages such as Python and/or JavaScript/TypeScript
• You are comfortable operating in rapidly evolving, ambiguous technical domains
• You build deep context across teams and translate it into reusable, scalable solutions
• You take ownership from problem definition through implementation and measurable outcomes
• You are highly detail-oriented, particularly when working on architectures and customer-facing technical assets
• You bring strong listening and consultative skills and are experienced supporting customers in high-pressure, complex situations
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train, or air up to 40% of the time 

Bonus Points:

• Successful track record with 5+ years experience working as an Architect or Consultant 
• Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
• Experience with LLM application evaluation and testing frameworks

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence.

As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production.

Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Drive design and implementation of LLM observability features.

• Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems
• Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit
• Develop and extend tools for tracing, evaluating, and debugging LLMs
• Influence architecture decisions and mentor engineers to build resilient, high-performance systems
• Stay close to customer pain points and use those insights to guide product and engineering priorities
• Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team

Who You Are:

• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience
• Deep understanding of distributed systems and scalable backend architectures
• Hands-on experience building and shipping LLM-powered or GenAI applications. 
• Understanding of model internals, inference pipelines, evaluation techniques, and prompt engineering
• Ability to thrive in ambiguous, fast-changing spaces and have a product-oriented mindset
• You’re excited to shape the next generation of AI observability tools from the ground up
• Communicate clearly, think rigorously, and take pride in clean, maintainable code
• Experience with observability tools/platforms

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
• Have a lot of influence on product direction and impact on the business .
• Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn
• Competitive global benefits
• Continuous professional development

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration. 

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts or notebooks).
• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
• Bachelor’s degree in a STEM field, or equivalent practical experience.
• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML. 
• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Experience with/interest in LLM workflows and agentic workflows
• Cloud infrastructure experience, (e.g. GCP, AWS).
• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
• Strong SQL skills for working with large-scale data.
• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.
• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

Your Impact 

As Axon's Senior Director, Business Technology (IT CRM), you'll lead one of the most important technology platforms in the company. Salesforce is the backbone of how Axon sells, quotes, bills, and serves customers — spanning Sales Cloud, CPQ, Billing, Experience Cloud, Service Cloud, Agentforce, and deep integrations across our business technology ecosystem.

You'll help guide Axon's end-to-end Quote-to-Cash transformation — modernizing how the business moves from opportunity to quote to order to revenue, and unlocking the velocity and accuracy the next phase of Axon's growth depends on. You'll also set the strategy for how AI is integrated into the platform to make sellers, agents, and operations teams dramatically more productive.

This is a senior leadership role for someone who has scaled Salesforce platforms in high-growth B2B environments. You'll set the multi-year platform strategy, build and lead a team of architects, developers, and admins, and partner directly with executive stakeholders across Sales, RevOps, Finance, Customer Success, and IT. You'll be accountable for the platform's technical excellence, delivery rigor, and business outcomes — and for building the team and operating model to sustain both as Axon continues to grow.

What You’ll Do 

Location: Location: Hybrid from one of our US offices (Boston, Scottsdale AZ, NYC, San Francisco) 

In Office Expectations: 4 days per week (Tuesday-Friday)

Office Locations: 

• Own the multi-year strategy and roadmap for Axon's Salesforce platform across Sales Cloud, CPQ / Revenue Cloud, Billing, Experience Cloud, and connected enterprise systems
• Lead Axon's Quote-to-Cash transformation — modernizing the end-to-end flow from opportunity to quote to order to revenue, and driving measurable improvement in velocity and accuracy
• Set the strategy for AI on the Salesforce platform — Agentforce, Einstein, and embedded LLM-powered workflows and custom applications that make sellers, agents, and operations teams meaningfully more productive
• Establish and enforce architectural standards, governance, security posture, and DevOps maturity across the Salesforce footprint
• Lead and grow a team of managers and individual contributors — architects, developers, admins, and business analysts — including hiring, coaching, performance management, and org design
• Partner with executive stakeholders across GTM, Finance, and Operations to translate business priorities into a roadmap to drive measurable outcomes
• Manage the platform budget, vendor relationships, SI partnerships, and license strategy — including RFP/RFI processes, contract negotiation, and total cost of ownership
• Own the relationship with Salesforce as a vendor — influencing product roadmaps, navigating contract cycles, and managing escalations
• Define the metrics and dashboards that track platform health, delivery performance, and business outcomes
• Represent Salesforce in executive forums, steering committees, and cross-functional planning cycles
• Build a culture of technical excellence, ownership, and customer obsession within the team

What You Bring

• 12+ years in enterprise technology, with 5+ years leading Salesforce platform teams at the Director level or above
• Demonstrated experience scaling Salesforce orgs in high-growth B2B environments — with CPQ and Billing in production
• Track record of leading Quote-to-Cash transformations end to end — opportunity through revenue recognition
• Experience applying AI on the Salesforce platform — Agentforce, Einstein, or comparable LLM-powered capabilities — to drive real productivity gains
• Track record of building and managing teams of architects, developers, admins, and analysts, including managing managers
• Deep technical fluency in Salesforce architecture — able to challenge and direct senior architects credibly
• Broad technical fluency beyond Salesforce — comfortable making informed architectural decisions across integration patterns, data platforms, identity, and adjacent SaaS systems
• Strong grasp of modern enterprise architecture concepts — APIs and event-driven integration, cloud platforms (Azure, AWS), data warehousing, and security and identity at scale
• Proven success partnering with C-suite and SVP-level GTM and Finance stakeholders
• Experience owning multi-million-dollar platform budgets, vendor negotiations, and SI partner relationships
• Discipline around cost/benefit analysis, RFP/RFI processes, and translating business needs into sustainable technology decisions
• Strong delivery and operating rigor — roadmap, OKRs, release governance, incident management
• Excellent executive communication and stakeholder management skills

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Your Impact

Axon Enterprise (Nasdaq: AXON) is seeking a Data Science Principal within the Office of the Chief Accounting Officer (CAO). This is a hands-on enabler role for a technically exceptional professional with deep finance and accounting domain expertise. Your primary mission is to ensure that Axon’s AI builders, process owners, decision-makers, and auditors can operate with clean, trusted, well-governed, and audit-ready data. You will spend roughly half your time building data analytics tools and pipelines—leveraging AI as a development accelerator—to support complex, large-scale projects including mergers and acquisitions (M&A) integration, enterprise resource planning (ERP) system deployments, upstream data remediation, and SOX compliance initiatives.

The other half is strategic: partnering across Controllership, Finance Operations, Financial Planning and Analysis (FP&A), Internal Audit, and Technology to establish the data foundation that makes AI, automation, and audit readiness possible. You will use AI-assisted development tools (code generation, copilots, large language models) as part of your everyday build process.

What You’ll Do

Hands-On Building & Upstream Data Cleanliness (~50%)

• Design and develop data analytics tools, automated validation frameworks, and dashboards that give Finance Operations and Controllership real-time visibility into data health across enterprise systems. Use AI to rapidly prototype, test, and deploy these solutions.

• Drive upstream data hygiene cross-functionally: partner with source-system owners in Revenue Operations, Procurement, Human Resources, and Engineering to fix data issues where they originate, not after they propagate.

• Own data dictionaries, lineage documentation, and quality scorecards for critical controllership data assets. Establish and enforce master data management (MDM) standards.

• Partner with the Chief Information Officer (CIO) and Information Technology (IT) on integration strategy, ensuring seamless data flows between ERP, sub-ledgers, and the enterprise data platform. Support Snowflake data warehouse deployment.

Mergers & Acquisitions Data Integration

• Lead data workstreams for M&A transactions end-to-end: perform data due diligence on target companies, assess data quality risks, and build integration playbooks for onboarding acquired-company data into Axon’s enterprise platform.

• Design and execute data mapping, cleansing, and migration plans for post-acquisition integration—ensuring acquired entities are reporting on clean, consolidated data within defined timelines.

• For interim stage prior to M&A integration, build, own, and operate extract-transform-load (ETL) and extract-load-transform (ELT) pipelines that remediate data quality issues at the source—before data reaches downstream AI models, reporting, or analytics. Leverage AI-assisted development tools (copilots, code generation, large language models) to accelerate pipeline development and iteration.

• Build repeatable M&A controllership data integration frameworks—using AI to automate data profiling, matching, and anomaly detection—that scale as Axon’s acquisition pace accelerates.

Financial Controls, SOX & Audit Readiness

• Co-design data pipelines and analytics with auditability built in—traceable lineage, complete audit trails, and evidence that holds up under external audit.

• Build or collaborate with process owners to build close-support tools (GL-to-sub-ledger, intercompany, journal entries) that reduce manual effort and strengthen control evidence.

Enabling AI Builders & Process Owners

• Serve as the data enablement partner to Axon’s Controllership AI team and Controllership process owners—ensuring they have access to clean, well-structured, governed datasets for machine learning (ML), automation, and large language model (LLM) initiatives.

• Collaborate with AI builders to define data requirements, validate input data quality, and create feedback loops that continuously improve data upstream of AI/ML workflows.

• Create self-service analytics capabilities that enable FP&A, Tax, Treasury, and Controllership teams to access trustworthy data without bottlenecks.

Partnership & Cross-Functional Leadership

• Serve as a trusted partner to the CIO, shaping technology roadmaps, enterprise architecture, and system integration decisions. Act as a strong ally to Controllership and Finance Operations.

• Engage stakeholders across FP&A, Tax, Treasury, Engineering, Product, Revenue Operations, and Legal to manage cross-functional data projects end-to-end. Influence without authority across global, distributed teams.

What You Bring

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or a related field with 8+ years in data science, data engineering, or analytics.

• Hands-on builder: strong, current proficiency with Structured Query Language (SQL) and Python—you write code, build pipelines, and ship tools, not just direct others. Comfortable using AI-assisted development tools to multiply your output.

• Deep experience with upstream data quality remediation, master data management, and data governance operationalization in a finance or accounting environment.

• Demonstrated M&A data integration experience: due diligence, data mapping, migration, and post-acquisition consolidation.

• Ability to build senior-level relationships, lead cross-functional projects end-to-end, and influence without direct authority across global teams.

• Working knowledge of US GAAP accounting processes (R2R, O2C, P2P, revenue recognition) or FP&A processes (budgeting, forecasting, variance analysis)—you understand the business logic, not just the data.

• Practical familiarity with SOX compliance and IT General Controls (ITGCs) sufficient to design audit-ready data pipelines, maintain traceable audit trails, and support internal audit teams and external auditors with data extracts, population listings, and control evidence—without needing to own the SOX program or control design.

Preferred Qualifications:

• Snowflake or comparable cloud data warehouse experience. Business intelligence (BI) platforms such as Sigma.

• High-growth, publicly traded technology company or digital transformation environment.

• Experience enabling AI/ML teams with clean data pipelines. Demonstrated use of AI code-generation in day-to-day development. Supervisory experience leading data teams.

• M&A integration at a company with an active acquisition strategy. Public safety, defense, or regulated industry background.

• Experience with audit management or financial close platforms/ERP and their data integration requirements; familiarity with how these tools consume and produce audit evidence.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Your Impact

Axon Enterprise (Nasdaq: AXON) is seeking a Data Science Principal within the Office of the Chief Accounting Officer (CAO). This is a hands-on enabler role for a technically exceptional professional with deep finance and accounting domain expertise. Your primary mission is to ensure that Axon’s AI builders, process owners, decision-makers, and auditors can operate with clean, trusted, well-governed, and audit-ready data. You will spend roughly half your time building data analytics tools and pipelines—leveraging AI as a development accelerator—to support complex, large-scale projects including mergers and acquisitions (M&A) integration, enterprise resource planning (ERP) system deployments, upstream data remediation, and SOX compliance initiatives.

The other half is strategic: partnering across Controllership, Finance Operations, Financial Planning and Analysis (FP&A), Internal Audit, and Technology to establish the data foundation that makes AI, automation, and audit readiness possible. You will use AI-assisted development tools (code generation, copilots, large language models) as part of your everyday build process.

What You’ll Do

Hands-On Building & Upstream Data Cleanliness (~50%)

• Design and develop data analytics tools, automated validation frameworks, and dashboards that give Finance Operations and Controllership real-time visibility into data health across enterprise systems. Use AI to rapidly prototype, test, and deploy these solutions.

• Drive upstream data hygiene cross-functionally: partner with source-system owners in Revenue Operations, Procurement, Human Resources, and Engineering to fix data issues where they originate, not after they propagate.

• Own data dictionaries, lineage documentation, and quality scorecards for critical controllership data assets. Establish and enforce master data management (MDM) standards.

• Partner with the Chief Information Officer (CIO) and Information Technology (IT) on integration strategy, ensuring seamless data flows between ERP, sub-ledgers, and the enterprise data platform. Support Snowflake data warehouse deployment.

Mergers & Acquisitions Data Integration

• Lead data workstreams for M&A transactions end-to-end: perform data due diligence on target companies, assess data quality risks, and build integration playbooks for onboarding acquired-company data into Axon’s enterprise platform.

• Design and execute data mapping, cleansing, and migration plans for post-acquisition integration—ensuring acquired entities are reporting on clean, consolidated data within defined timelines.

• For interim stage prior to M&A integration, build, own, and operate extract-transform-load (ETL) and extract-load-transform (ELT) pipelines that remediate data quality issues at the source—before data reaches downstream AI models, reporting, or analytics. Leverage AI-assisted development tools (copilots, code generation, large language models) to accelerate pipeline development and iteration.

• Build repeatable M&A controllership data integration frameworks—using AI to automate data profiling, matching, and anomaly detection—that scale as Axon’s acquisition pace accelerates.

Financial Controls, SOX & Audit Readiness

• Co-design data pipelines and analytics with auditability built in—traceable lineage, complete audit trails, and evidence that holds up under external audit.

• Build or collaborate with process owners to build close-support tools (GL-to-sub-ledger, intercompany, journal entries) that reduce manual effort and strengthen control evidence.

Enabling AI Builders & Process Owners

• Serve as the data enablement partner to Axon’s Controllership AI team and Controllership process owners—ensuring they have access to clean, well-structured, governed datasets for machine learning (ML), automation, and large language model (LLM) initiatives.

• Collaborate with AI builders to define data requirements, validate input data quality, and create feedback loops that continuously improve data upstream of AI/ML workflows.

• Create self-service analytics capabilities that enable FP&A, Tax, Treasury, and Controllership teams to access trustworthy data without bottlenecks.

Partnership & Cross-Functional Leadership

• Serve as a trusted partner to the CIO, shaping technology roadmaps, enterprise architecture, and system integration decisions. Act as a strong ally to Controllership and Finance Operations.

• Engage stakeholders across FP&A, Tax, Treasury, Engineering, Product, Revenue Operations, and Legal to manage cross-functional data projects end-to-end. Influence without authority across global, distributed teams.

What You Bring

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or a related field with 8+ years in data science, data engineering, or analytics.

• Hands-on builder: strong, current proficiency with Structured Query Language (SQL) and Python—you write code, build pipelines, and ship tools, not just direct others. Comfortable using AI-assisted development tools to multiply your output.

• Deep experience with upstream data quality remediation, master data management, and data governance operationalization in a finance or accounting environment.

• Demonstrated M&A data integration experience: due diligence, data mapping, migration, and post-acquisition consolidation.

• Ability to build senior-level relationships, lead cross-functional projects end-to-end, and influence without direct authority across global teams.

• Working knowledge of US GAAP accounting processes (R2R, O2C, P2P, revenue recognition) or FP&A processes (budgeting, forecasting, variance analysis)—you understand the business logic, not just the data.

• Practical familiarity with SOX compliance and IT General Controls (ITGCs) sufficient to design audit-ready data pipelines, maintain traceable audit trails, and support internal audit teams and external auditors with data extracts, population listings, and control evidence—without needing to own the SOX program or control design.

Preferred Qualifications:

• Snowflake or comparable cloud data warehouse experience. Business intelligence (BI) platforms such as Sigma.

• High-growth, publicly traded technology company or digital transformation environment.

• Experience enabling AI/ML teams with clean data pipelines. Demonstrated use of AI code-generation in day-to-day development. Supervisory experience leading data teams.

• M&A integration at a company with an active acquisition strategy. Public safety, defense, or regulated industry background.

• Experience with audit management or financial close platforms/ERP and their data integration requirements; familiarity with how these tools consume and produce audit evidence.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Your Impact

Axon Enterprise (Nasdaq: AXON) is seeking a Data Science Principal within the Office of the Chief Accounting Officer (CAO). This is a hands-on enabler role for a technically exceptional professional with deep finance and accounting domain expertise. Your primary mission is to ensure that Axon’s AI builders, process owners, decision-makers, and auditors can operate with clean, trusted, well-governed, and audit-ready data. You will spend roughly half your time building data analytics tools and pipelines—leveraging AI as a development accelerator—to support complex, large-scale projects including mergers and acquisitions (M&A) integration, enterprise resource planning (ERP) system deployments, upstream data remediation, and SOX compliance initiatives.

The other half is strategic: partnering across Controllership, Finance Operations, Financial Planning and Analysis (FP&A), Internal Audit, and Technology to establish the data foundation that makes AI, automation, and audit readiness possible. You will use AI-assisted development tools (code generation, copilots, large language models) as part of your everyday build process.

What You’ll Do

Hands-On Building & Upstream Data Cleanliness (~50%)

• Design and develop data analytics tools, automated validation frameworks, and dashboards that give Finance Operations and Controllership real-time visibility into data health across enterprise systems. Use AI to rapidly prototype, test, and deploy these solutions.

• Drive upstream data hygiene cross-functionally: partner with source-system owners in Revenue Operations, Procurement, Human Resources, and Engineering to fix data issues where they originate, not after they propagate.

• Own data dictionaries, lineage documentation, and quality scorecards for critical controllership data assets. Establish and enforce master data management (MDM) standards.

• Partner with the Chief Information Officer (CIO) and Information Technology (IT) on integration strategy, ensuring seamless data flows between ERP, sub-ledgers, and the enterprise data platform. Support Snowflake data warehouse deployment.

Mergers & Acquisitions Data Integration

• Lead data workstreams for M&A transactions end-to-end: perform data due diligence on target companies, assess data quality risks, and build integration playbooks for onboarding acquired-company data into Axon’s enterprise platform.

• Design and execute data mapping, cleansing, and migration plans for post-acquisition integration—ensuring acquired entities are reporting on clean, consolidated data within defined timelines.

• For interim stage prior to M&A integration, build, own, and operate extract-transform-load (ETL) and extract-load-transform (ELT) pipelines that remediate data quality issues at the source—before data reaches downstream AI models, reporting, or analytics. Leverage AI-assisted development tools (copilots, code generation, large language models) to accelerate pipeline development and iteration.

• Build repeatable M&A controllership data integration frameworks—using AI to automate data profiling, matching, and anomaly detection—that scale as Axon’s acquisition pace accelerates.

Financial Controls, SOX & Audit Readiness

• Co-design data pipelines and analytics with auditability built in—traceable lineage, complete audit trails, and evidence that holds up under external audit.

• Build or collaborate with process owners to build close-support tools (GL-to-sub-ledger, intercompany, journal entries) that reduce manual effort and strengthen control evidence.

Enabling AI Builders & Process Owners

• Serve as the data enablement partner to Axon’s Controllership AI team and Controllership process owners—ensuring they have access to clean, well-structured, governed datasets for machine learning (ML), automation, and large language model (LLM) initiatives.

• Collaborate with AI builders to define data requirements, validate input data quality, and create feedback loops that continuously improve data upstream of AI/ML workflows.

• Create self-service analytics capabilities that enable FP&A, Tax, Treasury, and Controllership teams to access trustworthy data without bottlenecks.

Partnership & Cross-Functional Leadership

• Serve as a trusted partner to the CIO, shaping technology roadmaps, enterprise architecture, and system integration decisions. Act as a strong ally to Controllership and Finance Operations.

• Engage stakeholders across FP&A, Tax, Treasury, Engineering, Product, Revenue Operations, and Legal to manage cross-functional data projects end-to-end. Influence without authority across global, distributed teams.

What You Bring

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or a related field with 8+ years in data science, data engineering, or analytics.

• Hands-on builder: strong, current proficiency with Structured Query Language (SQL) and Python—you write code, build pipelines, and ship tools, not just direct others. Comfortable using AI-assisted development tools to multiply your output.

• Deep experience with upstream data quality remediation, master data management, and data governance operationalization in a finance or accounting environment.

• Demonstrated M&A data integration experience: due diligence, data mapping, migration, and post-acquisition consolidation.

• Ability to build senior-level relationships, lead cross-functional projects end-to-end, and influence without direct authority across global teams.

• Working knowledge of US GAAP accounting processes (R2R, O2C, P2P, revenue recognition) or FP&A processes (budgeting, forecasting, variance analysis)—you understand the business logic, not just the data.

• Practical familiarity with SOX compliance and IT General Controls (ITGCs) sufficient to design audit-ready data pipelines, maintain traceable audit trails, and support internal audit teams and external auditors with data extracts, population listings, and control evidence—without needing to own the SOX program or control design.

Preferred Qualifications:

• Snowflake or comparable cloud data warehouse experience. Business intelligence (BI) platforms such as Sigma.

• High-growth, publicly traded technology company or digital transformation environment.

• Experience enabling AI/ML teams with clean data pipelines. Demonstrated use of AI code-generation in day-to-day development. Supervisory experience leading data teams.

• M&A integration at a company with an active acquisition strategy. Public safety, defense, or regulated industry background.

• Experience with audit management or financial close platforms/ERP and their data integration requirements; familiarity with how these tools consume and produce audit evidence.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Your Impact

Axon Enterprise (Nasdaq: AXON) is seeking a Data Science Principal within the Office of the Chief Accounting Officer (CAO). This is a hands-on enabler role for a technically exceptional professional with deep finance and accounting domain expertise. Your primary mission is to ensure that Axon’s AI builders, process owners, decision-makers, and auditors can operate with clean, trusted, well-governed, and audit-ready data. You will spend roughly half your time building data analytics tools and pipelines—leveraging AI as a development accelerator—to support complex, large-scale projects including mergers and acquisitions (M&A) integration, enterprise resource planning (ERP) system deployments, upstream data remediation, and SOX compliance initiatives.

The other half is strategic: partnering across Controllership, Finance Operations, Financial Planning and Analysis (FP&A), Internal Audit, and Technology to establish the data foundation that makes AI, automation, and audit readiness possible. You will use AI-assisted development tools (code generation, copilots, large language models) as part of your everyday build process.

What You’ll Do

Hands-On Building & Upstream Data Cleanliness (~50%)

• Design and develop data analytics tools, automated validation frameworks, and dashboards that give Finance Operations and Controllership real-time visibility into data health across enterprise systems. Use AI to rapidly prototype, test, and deploy these solutions.

• Drive upstream data hygiene cross-functionally: partner with source-system owners in Revenue Operations, Procurement, Human Resources, and Engineering to fix data issues where they originate, not after they propagate.

• Own data dictionaries, lineage documentation, and quality scorecards for critical controllership data assets. Establish and enforce master data management (MDM) standards.

• Partner with the Chief Information Officer (CIO) and Information Technology (IT) on integration strategy, ensuring seamless data flows between ERP, sub-ledgers, and the enterprise data platform. Support Snowflake data warehouse deployment.

Mergers & Acquisitions Data Integration

• Lead data workstreams for M&A transactions end-to-end: perform data due diligence on target companies, assess data quality risks, and build integration playbooks for onboarding acquired-company data into Axon’s enterprise platform.

• Design and execute data mapping, cleansing, and migration plans for post-acquisition integration—ensuring acquired entities are reporting on clean, consolidated data within defined timelines.

• For interim stage prior to M&A integration, build, own, and operate extract-transform-load (ETL) and extract-load-transform (ELT) pipelines that remediate data quality issues at the source—before data reaches downstream AI models, reporting, or analytics. Leverage AI-assisted development tools (copilots, code generation, large language models) to accelerate pipeline development and iteration.

• Build repeatable M&A controllership data integration frameworks—using AI to automate data profiling, matching, and anomaly detection—that scale as Axon’s acquisition pace accelerates.

Financial Controls, SOX & Audit Readiness

• Co-design data pipelines and analytics with auditability built in—traceable lineage, complete audit trails, and evidence that holds up under external audit.

• Build or collaborate with process owners to build close-support tools (GL-to-sub-ledger, intercompany, journal entries) that reduce manual effort and strengthen control evidence.

Enabling AI Builders & Process Owners

• Serve as the data enablement partner to Axon’s Controllership AI team and Controllership process owners—ensuring they have access to clean, well-structured, governed datasets for machine learning (ML), automation, and large language model (LLM) initiatives.

• Collaborate with AI builders to define data requirements, validate input data quality, and create feedback loops that continuously improve data upstream of AI/ML workflows.

• Create self-service analytics capabilities that enable FP&A, Tax, Treasury, and Controllership teams to access trustworthy data without bottlenecks.

Partnership & Cross-Functional Leadership

• Serve as a trusted partner to the CIO, shaping technology roadmaps, enterprise architecture, and system integration decisions. Act as a strong ally to Controllership and Finance Operations.

• Engage stakeholders across FP&A, Tax, Treasury, Engineering, Product, Revenue Operations, and Legal to manage cross-functional data projects end-to-end. Influence without authority across global, distributed teams.

What You Bring

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or a related field with 8+ years in data science, data engineering, or analytics.

• Hands-on builder: strong, current proficiency with Structured Query Language (SQL) and Python—you write code, build pipelines, and ship tools, not just direct others. Comfortable using AI-assisted development tools to multiply your output.

• Deep experience with upstream data quality remediation, master data management, and data governance operationalization in a finance or accounting environment.

• Demonstrated M&A data integration experience: due diligence, data mapping, migration, and post-acquisition consolidation.

• Ability to build senior-level relationships, lead cross-functional projects end-to-end, and influence without direct authority across global teams.

• Working knowledge of US GAAP accounting processes (R2R, O2C, P2P, revenue recognition) or FP&A processes (budgeting, forecasting, variance analysis)—you understand the business logic, not just the data.

• Practical familiarity with SOX compliance and IT General Controls (ITGCs) sufficient to design audit-ready data pipelines, maintain traceable audit trails, and support internal audit teams and external auditors with data extracts, population listings, and control evidence—without needing to own the SOX program or control design.

Preferred Qualifications:

• Snowflake or comparable cloud data warehouse experience. Business intelligence (BI) platforms such as Sigma.

• High-growth, publicly traded technology company or digital transformation environment.

• Experience enabling AI/ML teams with clean data pipelines. Demonstrated use of AI code-generation in day-to-day development. Supervisory experience leading data teams.

• M&A integration at a company with an active acquisition strategy. Public safety, defense, or regulated industry background.

• Experience with audit management or financial close platforms/ERP and their data integration requirements; familiarity with how these tools consume and produce audit evidence.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Your Impact

Axon Enterprise (Nasdaq: AXON) is seeking a Data Science Principal within the Office of the Chief Accounting Officer (CAO). This is a hands-on enabler role for a technically exceptional professional with deep finance and accounting domain expertise. Your primary mission is to ensure that Axon’s AI builders, process owners, decision-makers, and auditors can operate with clean, trusted, well-governed, and audit-ready data. You will spend roughly half your time building data analytics tools and pipelines—leveraging AI as a development accelerator—to support complex, large-scale projects including mergers and acquisitions (M&A) integration, enterprise resource planning (ERP) system deployments, upstream data remediation, and SOX compliance initiatives.

The other half is strategic: partnering across Controllership, Finance Operations, Financial Planning and Analysis (FP&A), Internal Audit, and Technology to establish the data foundation that makes AI, automation, and audit readiness possible. You will use AI-assisted development tools (code generation, copilots, large language models) as part of your everyday build process.

What You’ll Do

Hands-On Building & Upstream Data Cleanliness (~50%)

• Design and develop data analytics tools, automated validation frameworks, and dashboards that give Finance Operations and Controllership real-time visibility into data health across enterprise systems. Use AI to rapidly prototype, test, and deploy these solutions.

• Drive upstream data hygiene cross-functionally: partner with source-system owners in Revenue Operations, Procurement, Human Resources, and Engineering to fix data issues where they originate, not after they propagate.

• Own data dictionaries, lineage documentation, and quality scorecards for critical controllership data assets. Establish and enforce master data management (MDM) standards.

• Partner with the Chief Information Officer (CIO) and Information Technology (IT) on integration strategy, ensuring seamless data flows between ERP, sub-ledgers, and the enterprise data platform. Support Snowflake data warehouse deployment.

Mergers & Acquisitions Data Integration

• Lead data workstreams for M&A transactions end-to-end: perform data due diligence on target companies, assess data quality risks, and build integration playbooks for onboarding acquired-company data into Axon’s enterprise platform.

• Design and execute data mapping, cleansing, and migration plans for post-acquisition integration—ensuring acquired entities are reporting on clean, consolidated data within defined timelines.

• For interim stage prior to M&A integration, build, own, and operate extract-transform-load (ETL) and extract-load-transform (ELT) pipelines that remediate data quality issues at the source—before data reaches downstream AI models, reporting, or analytics. Leverage AI-assisted development tools (copilots, code generation, large language models) to accelerate pipeline development and iteration.

• Build repeatable M&A controllership data integration frameworks—using AI to automate data profiling, matching, and anomaly detection—that scale as Axon’s acquisition pace accelerates.

Financial Controls, SOX & Audit Readiness

• Co-design data pipelines and analytics with auditability built in—traceable lineage, complete audit trails, and evidence that holds up under external audit.

• Build or collaborate with process owners to build close-support tools (GL-to-sub-ledger, intercompany, journal entries) that reduce manual effort and strengthen control evidence.

Enabling AI Builders & Process Owners

• Serve as the data enablement partner to Axon’s Controllership AI team and Controllership process owners—ensuring they have access to clean, well-structured, governed datasets for machine learning (ML), automation, and large language model (LLM) initiatives.

• Collaborate with AI builders to define data requirements, validate input data quality, and create feedback loops that continuously improve data upstream of AI/ML workflows.

• Create self-service analytics capabilities that enable FP&A, Tax, Treasury, and Controllership teams to access trustworthy data without bottlenecks.

Partnership & Cross-Functional Leadership

• Serve as a trusted partner to the CIO, shaping technology roadmaps, enterprise architecture, and system integration decisions. Act as a strong ally to Controllership and Finance Operations.

• Engage stakeholders across FP&A, Tax, Treasury, Engineering, Product, Revenue Operations, and Legal to manage cross-functional data projects end-to-end. Influence without authority across global, distributed teams.

What You Bring

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or a related field with 8+ years in data science, data engineering, or analytics.

• Hands-on builder: strong, current proficiency with Structured Query Language (SQL) and Python—you write code, build pipelines, and ship tools, not just direct others. Comfortable using AI-assisted development tools to multiply your output.

• Deep experience with upstream data quality remediation, master data management, and data governance operationalization in a finance or accounting environment.

• Demonstrated M&A data integration experience: due diligence, data mapping, migration, and post-acquisition consolidation.

• Ability to build senior-level relationships, lead cross-functional projects end-to-end, and influence without direct authority across global teams.

• Working knowledge of US GAAP accounting processes (R2R, O2C, P2P, revenue recognition) or FP&A processes (budgeting, forecasting, variance analysis)—you understand the business logic, not just the data.

• Practical familiarity with SOX compliance and IT General Controls (ITGCs) sufficient to design audit-ready data pipelines, maintain traceable audit trails, and support internal audit teams and external auditors with data extracts, population listings, and control evidence—without needing to own the SOX program or control design.

Preferred Qualifications:

• Snowflake or comparable cloud data warehouse experience. Business intelligence (BI) platforms such as Sigma.

• High-growth, publicly traded technology company or digital transformation environment.

• Experience enabling AI/ML teams with clean data pipelines. Demonstrated use of AI code-generation in day-to-day development. Supervisory experience leading data teams.

• M&A integration at a company with an active acquisition strategy. Public safety, defense, or regulated industry background.

• Experience with audit management or financial close platforms/ERP and their data integration requirements; familiarity with how these tools consume and produce audit evidence.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Your Impact

Axon Enterprise (Nasdaq: AXON) is seeking a Data Science Principal within the Office of the Chief Accounting Officer (CAO). This is a hands-on enabler role for a technically exceptional professional with deep finance and accounting domain expertise. Your primary mission is to ensure that Axon’s AI builders, process owners, decision-makers, and auditors can operate with clean, trusted, well-governed, and audit-ready data. You will spend roughly half your time building data analytics tools and pipelines—leveraging AI as a development accelerator—to support complex, large-scale projects including mergers and acquisitions (M&A) integration, enterprise resource planning (ERP) system deployments, upstream data remediation, and SOX compliance initiatives.

The other half is strategic: partnering across Controllership, Finance Operations, Financial Planning and Analysis (FP&A), Internal Audit, and Technology to establish the data foundation that makes AI, automation, and audit readiness possible. You will use AI-assisted development tools (code generation, copilots, large language models) as part of your everyday build process.

What You’ll Do

Hands-On Building & Upstream Data Cleanliness (~50%)

• Design and develop data analytics tools, automated validation frameworks, and dashboards that give Finance Operations and Controllership real-time visibility into data health across enterprise systems. Use AI to rapidly prototype, test, and deploy these solutions.

• Drive upstream data hygiene cross-functionally: partner with source-system owners in Revenue Operations, Procurement, Human Resources, and Engineering to fix data issues where they originate, not after they propagate.

• Own data dictionaries, lineage documentation, and quality scorecards for critical controllership data assets. Establish and enforce master data management (MDM) standards.

• Partner with the Chief Information Officer (CIO) and Information Technology (IT) on integration strategy, ensuring seamless data flows between ERP, sub-ledgers, and the enterprise data platform. Support Snowflake data warehouse deployment.

Mergers & Acquisitions Data Integration

• Lead data workstreams for M&A transactions end-to-end: perform data due diligence on target companies, assess data quality risks, and build integration playbooks for onboarding acquired-company data into Axon’s enterprise platform.

• Design and execute data mapping, cleansing, and migration plans for post-acquisition integration—ensuring acquired entities are reporting on clean, consolidated data within defined timelines.

• For interim stage prior to M&A integration, build, own, and operate extract-transform-load (ETL) and extract-load-transform (ELT) pipelines that remediate data quality issues at the source—before data reaches downstream AI models, reporting, or analytics. Leverage AI-assisted development tools (copilots, code generation, large language models) to accelerate pipeline development and iteration.

• Build repeatable M&A controllership data integration frameworks—using AI to automate data profiling, matching, and anomaly detection—that scale as Axon’s acquisition pace accelerates.

Financial Controls, SOX & Audit Readiness

• Co-design data pipelines and analytics with auditability built in—traceable lineage, complete audit trails, and evidence that holds up under external audit.

• Build or collaborate with process owners to build close-support tools (GL-to-sub-ledger, intercompany, journal entries) that reduce manual effort and strengthen control evidence.

Enabling AI Builders & Process Owners

• Serve as the data enablement partner to Axon’s Controllership AI team and Controllership process owners—ensuring they have access to clean, well-structured, governed datasets for machine learning (ML), automation, and large language model (LLM) initiatives.

• Collaborate with AI builders to define data requirements, validate input data quality, and create feedback loops that continuously improve data upstream of AI/ML workflows.

• Create self-service analytics capabilities that enable FP&A, Tax, Treasury, and Controllership teams to access trustworthy data without bottlenecks.

Partnership & Cross-Functional Leadership

• Serve as a trusted partner to the CIO, shaping technology roadmaps, enterprise architecture, and system integration decisions. Act as a strong ally to Controllership and Finance Operations.

• Engage stakeholders across FP&A, Tax, Treasury, Engineering, Product, Revenue Operations, and Legal to manage cross-functional data projects end-to-end. Influence without authority across global, distributed teams.

What You Bring

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or a related field with 8+ years in data science, data engineering, or analytics.

• Hands-on builder: strong, current proficiency with Structured Query Language (SQL) and Python—you write code, build pipelines, and ship tools, not just direct others. Comfortable using AI-assisted development tools to multiply your output.

• Deep experience with upstream data quality remediation, master data management, and data governance operationalization in a finance or accounting environment.

• Demonstrated M&A data integration experience: due diligence, data mapping, migration, and post-acquisition consolidation.

• Ability to build senior-level relationships, lead cross-functional projects end-to-end, and influence without direct authority across global teams.

• Working knowledge of US GAAP accounting processes (R2R, O2C, P2P, revenue recognition) or FP&A processes (budgeting, forecasting, variance analysis)—you understand the business logic, not just the data.

• Practical familiarity with SOX compliance and IT General Controls (ITGCs) sufficient to design audit-ready data pipelines, maintain traceable audit trails, and support internal audit teams and external auditors with data extracts, population listings, and control evidence—without needing to own the SOX program or control design.

Preferred Qualifications:

• Snowflake or comparable cloud data warehouse experience. Business intelligence (BI) platforms such as Sigma.

• High-growth, publicly traded technology company or digital transformation environment.

• Experience enabling AI/ML teams with clean data pipelines. Demonstrated use of AI code-generation in day-to-day development. Supervisory experience leading data teams.

• M&A integration at a company with an active acquisition strategy. Public safety, defense, or regulated industry background.

• Experience with audit management or financial close platforms/ERP and their data integration requirements; familiarity with how these tools consume and produce audit evidence.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Your Impact

Axon Enterprise (Nasdaq: AXON) is seeking a Data Science Principal within the Office of the Chief Accounting Officer (CAO). This is a hands-on enabler role for a technically exceptional professional with deep finance and accounting domain expertise. Your primary mission is to ensure that Axon’s AI builders, process owners, decision-makers, and auditors can operate with clean, trusted, well-governed, and audit-ready data. You will spend roughly half your time building data analytics tools and pipelines—leveraging AI as a development accelerator—to support complex, large-scale projects including mergers and acquisitions (M&A) integration, enterprise resource planning (ERP) system deployments, upstream data remediation, and SOX compliance initiatives.

The other half is strategic: partnering across Controllership, Finance Operations, Financial Planning and Analysis (FP&A), Internal Audit, and Technology to establish the data foundation that makes AI, automation, and audit readiness possible. You will use AI-assisted development tools (code generation, copilots, large language models) as part of your everyday build process.

What You’ll Do

Hands-On Building & Upstream Data Cleanliness (~50%)

• Design and develop data analytics tools, automated validation frameworks, and dashboards that give Finance Operations and Controllership real-time visibility into data health across enterprise systems. Use AI to rapidly prototype, test, and deploy these solutions.

• Drive upstream data hygiene cross-functionally: partner with source-system owners in Revenue Operations, Procurement, Human Resources, and Engineering to fix data issues where they originate, not after they propagate.

• Own data dictionaries, lineage documentation, and quality scorecards for critical controllership data assets. Establish and enforce master data management (MDM) standards.

• Partner with the Chief Information Officer (CIO) and Information Technology (IT) on integration strategy, ensuring seamless data flows between ERP, sub-ledgers, and the enterprise data platform. Support Snowflake data warehouse deployment.

Mergers & Acquisitions Data Integration

• Lead data workstreams for M&A transactions end-to-end: perform data due diligence on target companies, assess data quality risks, and build integration playbooks for onboarding acquired-company data into Axon’s enterprise platform.

• Design and execute data mapping, cleansing, and migration plans for post-acquisition integration—ensuring acquired entities are reporting on clean, consolidated data within defined timelines.

• For interim stage prior to M&A integration, build, own, and operate extract-transform-load (ETL) and extract-load-transform (ELT) pipelines that remediate data quality issues at the source—before data reaches downstream AI models, reporting, or analytics. Leverage AI-assisted development tools (copilots, code generation, large language models) to accelerate pipeline development and iteration.

• Build repeatable M&A controllership data integration frameworks—using AI to automate data profiling, matching, and anomaly detection—that scale as Axon’s acquisition pace accelerates.

Financial Controls, SOX & Audit Readiness

• Co-design data pipelines and analytics with auditability built in—traceable lineage, complete audit trails, and evidence that holds up under external audit.

• Build or collaborate with process owners to build close-support tools (GL-to-sub-ledger, intercompany, journal entries) that reduce manual effort and strengthen control evidence.

Enabling AI Builders & Process Owners

• Serve as the data enablement partner to Axon’s Controllership AI team and Controllership process owners—ensuring they have access to clean, well-structured, governed datasets for machine learning (ML), automation, and large language model (LLM) initiatives.

• Collaborate with AI builders to define data requirements, validate input data quality, and create feedback loops that continuously improve data upstream of AI/ML workflows.

• Create self-service analytics capabilities that enable FP&A, Tax, Treasury, and Controllership teams to access trustworthy data without bottlenecks.

Partnership & Cross-Functional Leadership

• Serve as a trusted partner to the CIO, shaping technology roadmaps, enterprise architecture, and system integration decisions. Act as a strong ally to Controllership and Finance Operations.

• Engage stakeholders across FP&A, Tax, Treasury, Engineering, Product, Revenue Operations, and Legal to manage cross-functional data projects end-to-end. Influence without authority across global, distributed teams.

What You Bring

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or a related field with 8+ years in data science, data engineering, or analytics.

• Hands-on builder: strong, current proficiency with Structured Query Language (SQL) and Python—you write code, build pipelines, and ship tools, not just direct others. Comfortable using AI-assisted development tools to multiply your output.

• Deep experience with upstream data quality remediation, master data management, and data governance operationalization in a finance or accounting environment.

• Demonstrated M&A data integration experience: due diligence, data mapping, migration, and post-acquisition consolidation.

• Ability to build senior-level relationships, lead cross-functional projects end-to-end, and influence without direct authority across global teams.

• Working knowledge of US GAAP accounting processes (R2R, O2C, P2P, revenue recognition) or FP&A processes (budgeting, forecasting, variance analysis)—you understand the business logic, not just the data.

• Practical familiarity with SOX compliance and IT General Controls (ITGCs) sufficient to design audit-ready data pipelines, maintain traceable audit trails, and support internal audit teams and external auditors with data extracts, population listings, and control evidence—without needing to own the SOX program or control design.

Preferred Qualifications:

• Snowflake or comparable cloud data warehouse experience. Business intelligence (BI) platforms such as Sigma.

• High-growth, publicly traded technology company or digital transformation environment.

• Experience enabling AI/ML teams with clean data pipelines. Demonstrated use of AI code-generation in day-to-day development. Supervisory experience leading data teams.

• M&A integration at a company with an active acquisition strategy. Public safety, defense, or regulated industry background.

• Experience with audit management or financial close platforms/ERP and their data integration requirements; familiarity with how these tools consume and produce audit evidence.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Channel Manager at Unframe 

Location: East Coast, United States, Remote 

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the Role 

The Channel Manager will build, enable, and scale Unframe’s partner ecosystem. This role is responsible for developing strategic partnerships (VARs, GSIs, MSPs and technology partners), driving sourced and influenced revenue, and ensuring partners are effectively enabled to position and sell Unframe solutions.

You’ll work cross-functionally with Sales, Marketing, Product, and Customer Success to create a repeatable, scalable partner motion.

What you’ll do:

Partner Strategy & Recruitment

• Develop and execute Unframe’s channel strategy aligned to revenue goals
• Identify, recruit, and onboard high-value channel partners
• Build joint business plans with key partners
• Establish clear partner segmentation and coverage models

Enablement & Activation

• Create and deliver partner enablement programs (sales training, technical onboarding, certifications)
• Equip partners with positioning, messaging, and competitive differentiation
• Support partners in pipeline generation and deal execution
• Drive joint marketing campaigns and co-selling initiatives

Revenue & Performance Management

• Own partner-sourced and partner-influenced revenue targets
• Forecast channel pipeline and performance metrics
• Establish KPIs and reporting dashboards
• Ensure alignment between direct sales and channel teams

Cross-Functional Collaboration

• Work closely with Sales to ensure clean rules of engagement
• Partner with Marketing on demand generation programs
• Provide product feedback based on partner/customer insights
• Collaborate with Customer Success on joint account expansion strategies

What we are looking for:

• 5+ years in channel sales, partnerships, or ecosystem development (B2B SaaS or AI preferred)
• Proven track record of building and scaling partner revenue
• Experience working with VARs, GSIs, MSPs, or cloud providers
• Strong understanding of enterprise sales cycles
• Excellent relationship-building and negotiation skills 

Nice-to-Have Skills:

• Experience in AI, data, or enterprise technology
• Familiarity and success selling and recruiting into VAR ecosystems
• Experience in early-stage or high-growth startups

Ready to Build the Future?

If this opportunity excites you, apply now!

Why Join Unframe?

• Real ownership from day one. Drive decisions, shape ideas and make them work.
• Your fastest learning years. Build alongside founders and VPs in a space that moves weekly.
• You'll have the opportunity to write and build what comes next.

Your Impact 

As Axon's Senior Director, Business Technology (IT CRM), you'll lead one of the most important technology platforms in the company. Salesforce is the backbone of how Axon sells, quotes, bills, and serves customers — spanning Sales Cloud, CPQ, Billing, Experience Cloud, Service Cloud, Agentforce, and deep integrations across our business technology ecosystem.

You'll help guide Axon's end-to-end Quote-to-Cash transformation — modernizing how the business moves from opportunity to quote to order to revenue, and unlocking the velocity and accuracy the next phase of Axon's growth depends on. You'll also set the strategy for how AI is integrated into the platform to make sellers, agents, and operations teams dramatically more productive.

This is a senior leadership role for someone who has scaled Salesforce platforms in high-growth B2B environments. You'll set the multi-year platform strategy, build and lead a team of architects, developers, and admins, and partner directly with executive stakeholders across Sales, RevOps, Finance, Customer Success, and IT. You'll be accountable for the platform's technical excellence, delivery rigor, and business outcomes — and for building the team and operating model to sustain both as Axon continues to grow.

What You’ll Do 

Location: Location: Hybrid from one of our US offices (Boston, Scottsdale AZ, NYC, San Francisco) 

In Office Expectations: 4 days per week (Tuesday-Friday)

Office Locations: 

• Own the multi-year strategy and roadmap for Axon's Salesforce platform across Sales Cloud, CPQ / Revenue Cloud, Billing, Experience Cloud, and connected enterprise systems
• Lead Axon's Quote-to-Cash transformation — modernizing the end-to-end flow from opportunity to quote to order to revenue, and driving measurable improvement in velocity and accuracy
• Set the strategy for AI on the Salesforce platform — Agentforce, Einstein, and embedded LLM-powered workflows and custom applications that make sellers, agents, and operations teams meaningfully more productive
• Establish and enforce architectural standards, governance, security posture, and DevOps maturity across the Salesforce footprint
• Lead and grow a team of managers and individual contributors — architects, developers, admins, and business analysts — including hiring, coaching, performance management, and org design
• Partner with executive stakeholders across GTM, Finance, and Operations to translate business priorities into a roadmap to drive measurable outcomes
• Manage the platform budget, vendor relationships, SI partnerships, and license strategy — including RFP/RFI processes, contract negotiation, and total cost of ownership
• Own the relationship with Salesforce as a vendor — influencing product roadmaps, navigating contract cycles, and managing escalations
• Define the metrics and dashboards that track platform health, delivery performance, and business outcomes
• Represent Salesforce in executive forums, steering committees, and cross-functional planning cycles
• Build a culture of technical excellence, ownership, and customer obsession within the team

What You Bring

• 12+ years in enterprise technology, with 5+ years leading Salesforce platform teams at the Director level or above
• Demonstrated experience scaling Salesforce orgs in high-growth B2B environments — with CPQ and Billing in production
• Track record of leading Quote-to-Cash transformations end to end — opportunity through revenue recognition
• Experience applying AI on the Salesforce platform — Agentforce, Einstein, or comparable LLM-powered capabilities — to drive real productivity gains
• Track record of building and managing teams of architects, developers, admins, and analysts, including managing managers
• Deep technical fluency in Salesforce architecture — able to challenge and direct senior architects credibly
• Broad technical fluency beyond Salesforce — comfortable making informed architectural decisions across integration patterns, data platforms, identity, and adjacent SaaS systems
• Strong grasp of modern enterprise architecture concepts — APIs and event-driven integration, cloud platforms (Azure, AWS), data warehousing, and security and identity at scale
• Proven success partnering with C-suite and SVP-level GTM and Finance stakeholders
• Experience owning multi-million-dollar platform budgets, vendor negotiations, and SI partner relationships
• Discipline around cost/benefit analysis, RFP/RFI processes, and translating business needs into sustainable technology decisions
• Strong delivery and operating rigor — roadmap, OKRs, release governance, incident management
• Excellent executive communication and stakeholder management skills

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Your Impact 

As Axon's Senior Director, Business Technology (IT CRM), you'll lead one of the most important technology platforms in the company. Salesforce is the backbone of how Axon sells, quotes, bills, and serves customers — spanning Sales Cloud, CPQ, Billing, Experience Cloud, Service Cloud, Agentforce, and deep integrations across our business technology ecosystem.

You'll help guide Axon's end-to-end Quote-to-Cash transformation — modernizing how the business moves from opportunity to quote to order to revenue, and unlocking the velocity and accuracy the next phase of Axon's growth depends on. You'll also set the strategy for how AI is integrated into the platform to make sellers, agents, and operations teams dramatically more productive.

This is a senior leadership role for someone who has scaled Salesforce platforms in high-growth B2B environments. You'll set the multi-year platform strategy, build and lead a team of architects, developers, and admins, and partner directly with executive stakeholders across Sales, RevOps, Finance, Customer Success, and IT. You'll be accountable for the platform's technical excellence, delivery rigor, and business outcomes — and for building the team and operating model to sustain both as Axon continues to grow.

What You’ll Do 

Location: Location: Hybrid from one of our US offices (Boston, Scottsdale AZ, NYC, San Francisco) 

In Office Expectations: 4 days per week (Tuesday-Friday)

Office Locations: 

• Own the multi-year strategy and roadmap for Axon's Salesforce platform across Sales Cloud, CPQ / Revenue Cloud, Billing, Experience Cloud, and connected enterprise systems
• Lead Axon's Quote-to-Cash transformation — modernizing the end-to-end flow from opportunity to quote to order to revenue, and driving measurable improvement in velocity and accuracy
• Set the strategy for AI on the Salesforce platform — Agentforce, Einstein, and embedded LLM-powered workflows and custom applications that make sellers, agents, and operations teams meaningfully more productive
• Establish and enforce architectural standards, governance, security posture, and DevOps maturity across the Salesforce footprint
• Lead and grow a team of managers and individual contributors — architects, developers, admins, and business analysts — including hiring, coaching, performance management, and org design
• Partner with executive stakeholders across GTM, Finance, and Operations to translate business priorities into a roadmap to drive measurable outcomes
• Manage the platform budget, vendor relationships, SI partnerships, and license strategy — including RFP/RFI processes, contract negotiation, and total cost of ownership
• Own the relationship with Salesforce as a vendor — influencing product roadmaps, navigating contract cycles, and managing escalations
• Define the metrics and dashboards that track platform health, delivery performance, and business outcomes
• Represent Salesforce in executive forums, steering committees, and cross-functional planning cycles
• Build a culture of technical excellence, ownership, and customer obsession within the team

What You Bring

• 12+ years in enterprise technology, with 5+ years leading Salesforce platform teams at the Director level or above
• Demonstrated experience scaling Salesforce orgs in high-growth B2B environments — with CPQ and Billing in production
• Track record of leading Quote-to-Cash transformations end to end — opportunity through revenue recognition
• Experience applying AI on the Salesforce platform — Agentforce, Einstein, or comparable LLM-powered capabilities — to drive real productivity gains
• Track record of building and managing teams of architects, developers, admins, and analysts, including managing managers
• Deep technical fluency in Salesforce architecture — able to challenge and direct senior architects credibly
• Broad technical fluency beyond Salesforce — comfortable making informed architectural decisions across integration patterns, data platforms, identity, and adjacent SaaS systems
• Strong grasp of modern enterprise architecture concepts — APIs and event-driven integration, cloud platforms (Azure, AWS), data warehousing, and security and identity at scale
• Proven success partnering with C-suite and SVP-level GTM and Finance stakeholders
• Experience owning multi-million-dollar platform budgets, vendor negotiations, and SI partner relationships
• Discipline around cost/benefit analysis, RFP/RFI processes, and translating business needs into sustainable technology decisions
• Strong delivery and operating rigor — roadmap, OKRs, release governance, incident management
• Excellent executive communication and stakeholder management skills

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Your Impact 

As Axon's Senior Director, Business Technology (IT CRM), you'll lead one of the most important technology platforms in the company. Salesforce is the backbone of how Axon sells, quotes, bills, and serves customers — spanning Sales Cloud, CPQ, Billing, Experience Cloud, Service Cloud, Agentforce, and deep integrations across our business technology ecosystem.

You'll help guide Axon's end-to-end Quote-to-Cash transformation — modernizing how the business moves from opportunity to quote to order to revenue, and unlocking the velocity and accuracy the next phase of Axon's growth depends on. You'll also set the strategy for how AI is integrated into the platform to make sellers, agents, and operations teams dramatically more productive.

This is a senior leadership role for someone who has scaled Salesforce platforms in high-growth B2B environments. You'll set the multi-year platform strategy, build and lead a team of architects, developers, and admins, and partner directly with executive stakeholders across Sales, RevOps, Finance, Customer Success, and IT. You'll be accountable for the platform's technical excellence, delivery rigor, and business outcomes — and for building the team and operating model to sustain both as Axon continues to grow.

What You’ll Do 

Location: Location: Hybrid from one of our US offices (Boston, Scottsdale AZ, NYC, San Francisco) 

In Office Expectations: 4 days per week (Tuesday-Friday)

Office Locations: 

• Own the multi-year strategy and roadmap for Axon's Salesforce platform across Sales Cloud, CPQ / Revenue Cloud, Billing, Experience Cloud, and connected enterprise systems
• Lead Axon's Quote-to-Cash transformation — modernizing the end-to-end flow from opportunity to quote to order to revenue, and driving measurable improvement in velocity and accuracy
• Set the strategy for AI on the Salesforce platform — Agentforce, Einstein, and embedded LLM-powered workflows and custom applications that make sellers, agents, and operations teams meaningfully more productive
• Establish and enforce architectural standards, governance, security posture, and DevOps maturity across the Salesforce footprint
• Lead and grow a team of managers and individual contributors — architects, developers, admins, and business analysts — including hiring, coaching, performance management, and org design
• Partner with executive stakeholders across GTM, Finance, and Operations to translate business priorities into a roadmap to drive measurable outcomes
• Manage the platform budget, vendor relationships, SI partnerships, and license strategy — including RFP/RFI processes, contract negotiation, and total cost of ownership
• Own the relationship with Salesforce as a vendor — influencing product roadmaps, navigating contract cycles, and managing escalations
• Define the metrics and dashboards that track platform health, delivery performance, and business outcomes
• Represent Salesforce in executive forums, steering committees, and cross-functional planning cycles
• Build a culture of technical excellence, ownership, and customer obsession within the team

What You Bring

• 12+ years in enterprise technology, with 5+ years leading Salesforce platform teams at the Director level or above
• Demonstrated experience scaling Salesforce orgs in high-growth B2B environments — with CPQ and Billing in production
• Track record of leading Quote-to-Cash transformations end to end — opportunity through revenue recognition
• Experience applying AI on the Salesforce platform — Agentforce, Einstein, or comparable LLM-powered capabilities — to drive real productivity gains
• Track record of building and managing teams of architects, developers, admins, and analysts, including managing managers
• Deep technical fluency in Salesforce architecture — able to challenge and direct senior architects credibly
• Broad technical fluency beyond Salesforce — comfortable making informed architectural decisions across integration patterns, data platforms, identity, and adjacent SaaS systems
• Strong grasp of modern enterprise architecture concepts — APIs and event-driven integration, cloud platforms (Azure, AWS), data warehousing, and security and identity at scale
• Proven success partnering with C-suite and SVP-level GTM and Finance stakeholders
• Experience owning multi-million-dollar platform budgets, vendor negotiations, and SI partner relationships
• Discipline around cost/benefit analysis, RFP/RFI processes, and translating business needs into sustainable technology decisions
• Strong delivery and operating rigor — roadmap, OKRs, release governance, incident management
• Excellent executive communication and stakeholder management skills

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Role overview

CarGurus is transforming how the company operates by embedding AI into workflows across every function — product, engineering, revenue, finance, support. It’s a software engineering role where the domain is the entire business. You’ll work directly with teams across the org to understand how work actually gets done, identify where AI can change the unit of work or shift where judgment lives, and build the systems that make it real. Some of that is agent-based automation. Some of it is workflow redesign. All of it requires someone who can architect and ship production-quality software, not stitch together SaaS integrations. This is not a Salesforce developer, Boomi connector, or low-code/no-code position, nor is it an enterprise architect or ML model training role.

This is a small, high-autonomy team reporting to the Head of AI Solutions. You’ll have outsized influence on how a publicly traded company with ~$1B in revenue adopts AI — not as a pilot or a demo, but as a structural change in how the business runs. You will be successful here if you are a product-caliber engineer who finds internal workflow transformation genuinely interesting — not a consolation prize, but the most leveraged place to be right now. You’d rather build something real that 200 people use tomorrow than something polished that ships in 6 months.

What you'll do

• Design and build AI-powered workflows and agent-based systems that transform how teams operate across the company.
• Partner directly with stakeholders in revenue, product, engineering, finance, and operations to gather requirements, map existing workflows, and identify high-leverage opportunities for AI.
• Build end-to-end — from scoping and architecture through implementation and deployment. This team ships, it doesn’t hand off specs.
• Work with AI APIs and platforms (Anthropic/Claude, AWS Bedrock, and others) to build agentic systems, automation pipelines, and intelligent tooling.
• Operate across a messy, heterogeneous environment — AWS infrastructure, Salesforce, internal services — without waiting for everything to be clean before you start building.
• Help shape the technical strategy and standards for AI Solutions as a function.

What you'll bring

• 5+ years of relevant software engineering experience.
• Strong software engineering fundamentals — you’ve built and shipped production systems, not just prototypes.
• Proficiency in Python as the primary language for this work; comfort with additional languages is a plus.
• Experience designing APIs, services, and data pipelines. You think in systems, not scripts.
• AWS fluency — you’re comfortable working within AWS infrastructure and services.
• Hands-on experience building with LLM APIs, agent frameworks, or AI-powered applications — not just experimentation, but something that ran in production or was used by real people.
• Ability to operate with high autonomy. You’ll scope your own work, make architectural decisions, and own outcomes.
• Willingness to work across the full stack of a business — including systems like Salesforce that aren’t glamorous but are where the high-impact problems live.

Nice-to-haves:

• Experience with workflow orchestration or automation at scale.
• Familiarity with Salesforce APIs and integration patterns (not Salesforce administration).
• Background in recommendations, search, data science, or ML engineering.
• Experience working cross-functionally with non-technical stakeholders.

VP Marketing 

Location: US (East Coast Preferred )

About Unframe:

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role

Lead Unframe’s global marketing strategy. 

What you’ll do

• Own and execute Unframe’s global marketing strategy, aligned to company growth and revenue goals.
  
  
• Lead and scale the global marketing function, including team development, planning, investment, and organisational structure.
  
  
• Partner closely with Sales, Product, and executive leadership to strengthen category positioning, align priorities, and drive pipeline.
  
  
• Oversee demand generation, product marketing, PR, marketing operations, website and brand/communications strategy
  
  

What we are looking for

• VP-level marketing leadership experience with ownership of strategy, budget, headcount, and measurable revenue impact.
  
  
• Strong track record leading marketing across both US and international markets
  
  
• Deep enterprise B2B marketing experience within startup and high-growth environments.
  
  
• Expertise in enterprise technology, AI, technical buyer journeys, and product/category positioning.
  
  
• Strong cross-functional leadership and ability to operate effectively in fast-moving, ambiguous, high-ownership environments.

Why join us

Real ownership from day one. Drive decisions, shape ideas and make them work.

• Your fastest learning years. Build alongside founders in a space that moves weekly.
• You'll have the opportunity to write and build what comes next.

Ready to Build the Future?

If this opportunity excites you, apply now!

Mission Summary:

We are looking for a Senior Software Engineer to develop and deliver automated workflows, intelligent tooling and insightful analytics that enables our autonomy stack to scale. You will play a pivotal role in transforming massive amounts of data into actionable engineering insights, ensuring our software releases are robust, validated, and ready for the road.

What you'll be doing:

• Develop Intelligent Tooling: You will design and implement sophisticated automation to categorize and explain complex system behaviors by leveraging advanced data modeling to accelerate solutions.
• Drive Analytics: You’ll lead the creation of high-impact performance visualization tools that translate raw metrics into clear, actionable insights regarding on-road performance.
• Streamline Release Engineering: Your expertise will help the team evolve our release processes, moving toward a highly automated deployment framework that maintains quality while improving efficiency
• Advance Simulation Capabilities: You’ll have the opportunity to enhance our virtual testing ecosystems, ensuring our simulation suites provide the high fidelity feedback necessary to properly understand the release.
• Collaborate at Scale: Work within a large, multi-disciplinary codebase to ensure seamless integration between planning, motion, and controls teams.
  
  

What we're looking for:

• Extensive experience building production-grade applications, tools, and pipelines using Python.
• Comfortable navigating and contributing to large, complex codebases where modularity and documentation are key.
• Proven track record of delivering software in a production environment, including familiarity with CI/CD, version control at scale, and rigorous release cycles.
• Curious about data and possess the ability to extract meaningful patterns from noisy, high-dimensional datasets.
• Passionate about a driverless future and understand the high stakes of deploying software that interacts with the physical world.
  
  

Bonus Points(not required): 

• Experience with C++ in a Linux environment.
• Familiarity with Machine Learning frameworks or Large Language Model (LLM) integration.
• Background in robotics middleware (ROS, DDS) or autonomous systems.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

We are seeking a capable and highly motivated Engineer for our Developer Platform team to enable rapid and safe software delivery by providing a unified, efficient and reliable platform for all developers at Motional. You will join a talented team of engineers that focuses on improving the engineering experience and developer productivity of teams in Motional by providing them with the necessary tools and processes. You will collaborate closely with teams across the organization to identify pain points and drive initiatives that empower teams to deliver on Motional’s mission.

Your main focus will be on our real-time data pipeline which enables our AVs to communicate with our cloud services such as Command Center, Over-The-Air update systems, and ride hailing partners integration.

This is a remote-first position based anywhere in the U.S. 

What you'll do:

• Design, build, document, test, and maintain network, compute, and storage infrastructure of our cloud platform for the AV fleet.
• Monitor, support, and resolve issues as they arise in production.
• Assist with high-level analysis, system design, and code reviews.
• Communicate with stakeholders and team leads to identify system requirements.

What you'll be working on:

• Observability systems, CI/CD pipelines for integrations with ride hailing partners like Uber and Lyft.
• Cost Optimizations, Performance Optimizations, Security Improvements of Cloud Systems.
• Automation, services and LLM-integrated bots to reduce developer toil.

What you bring:

• 2+ years of professional work experience as a Software Engineer/DevOps in designing and building distributed systems.
• Experience with Golang / Python.
• Experience with AWS (EC2, EKS, ECS, Lambda, VPC, S3, IAM, IOT).
• Knowledge of CI/CD tools (e.g. GitLab CI, Jenkins).
• Experience with Infrastructure as Code (Terraform).
• Comfortable taking projects from ideation through to completion, with strong communication and collaboration across multiple international teams.
• Comfortable working in a fast-paced, continuous delivery environment.

Bonus points for experience with:

• Working with a globally distributed team.
• Experience with serverless architectures, building systems using SQL and NoSQL databases.
• Experience with time-series databases and monitoring tools (Prometheus, VictoriaMetrics, Grafana, Redash).
• Experience with GenAI solutions (Q Developer/Business, Gemini).
• Experience in Site Reliability Engineering.
• Experience with error monitoring software (Sentry, Incident.io).

Your Impact

Are you an engineer who gets excited about the challenge of making complex distributed systems observable — not just instrumenting them, but designing the infrastructure that makes traces, metrics, and logs useful at scale? In this role, you will help build and evolve Axon's next-generation observability platform, enabling the entire engineering organization to understand and operate their services with confidence.

You'll work across the full observability stack: from distributed tracing adoption (OpenTelemetry, Jaeger) to log infrastructure (Loki, Alloy) to metrics (Cortex, Prometheus, Grafana). You'll partner directly with Axon's engineering teams to drive adoption of modern observability practices and build the tooling that makes our platform self-service for the teams that depend on it.

You will be part of the Observability team within Axon's Site Reliability organization — a focused team responsible for Axon's metrics, logging, tracing, and alerting infrastructure across dozens of environments globally.

The ideal candidate has a strong infrastructure engineering background, is comfortable working across cloud-native systems, and cares about both the technical depth and the developer experience of observability. You'll thrive here if you have opinions about what good observability looks like, and enjoy the challenge of making it real in a large, fast-moving organization.

Location: This role is based out of our Seattle office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

What You'll Do

• Own and evolve Axon's distributed tracing infrastructure, including Jaeger and OpenTelemetry-based instrumentation, driving adoption across Axon's service-oriented architecture
• Build and operate Axon's log aggregation platform (Grafana Loki + Alloy), expanding use cases beyond Kubernetes event logs and reducing organizational dependency on expensive third-party log tooling (including Splunk)
• Maintain and improve Axon's metrics infrastructure (Cortex, Prometheus, Grafana) — the foundation for alerting, dashboards, and SLO tracking across all of Axon's environments
• Write internal tooling and automation that makes observability self-service: toolkit commands, agentic on-call helpers, runbook generation, and dashboard scaffolding
• Manage observability infrastructure as code via Terraform, CDK, ArgoCD, and Helm — including capacity management, cybersecurity requirements and compliance, and on-call rotation participation
• Work directly with engineering teams across Axon to define instrumentation standards, drive tracing adoption, and help teams build meaningful SLOs for their services

Basic Qualifications

• Bachelor's Degree in Computer Science, Engineering, or an equivalent highly technical field
• 7+ years of experience in SRE, platform engineering, or infrastructure engineering
• Strong Linux systems fundamentals and comfort working in Kubernetes-based environments
• Hands-on experience with one or more components of the LGTM stack: Loki, Grafana, Tempo/Jaeger, or Mimir/Cortex
• Experience with infrastructure as code — Terraform strongly preferred, CDK is a plus
• Experience with any of: Golang, Python, or Java
• United States citizen — able to gain CJIS clearance for full US production access

Preferred qualifications

• Experience deploying and operating distributed tracing systems (OpenTelemetry, Jaeger, Tempo, or similar)
• Familiarity with OpenTelemetry — instrumentation, collectors, and pipelines
• Experience with GitOps workflows
• Exposure to 24/7 high-volume systems with formal SLA requirements
• Experience with agentic AI tooling or building LLM-powered developer tools
• Ability to debug complex multi-service distributed systems

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Development Programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Your Impact

Are you an engineer who gets excited about the challenge of making complex distributed systems observable — not just instrumenting them, but designing the infrastructure that makes traces, metrics, and logs useful at scale? In this role, you will help build and evolve Axon's next-generation observability platform, enabling the entire engineering organization to understand and operate their services with confidence.

You'll work across the full observability stack: from distributed tracing adoption (OpenTelemetry, Jaeger) to log infrastructure (Loki, Alloy) to metrics (Cortex, Prometheus, Grafana). You'll partner directly with Axon's engineering teams to drive adoption of modern observability practices and build the tooling that makes our platform self-service for the teams that depend on it.

You will be part of the Observability team within Axon's Site Reliability organization — a focused team responsible for Axon's metrics, logging, tracing, and alerting infrastructure across dozens of environments globally.

The ideal candidate has a strong infrastructure engineering background, is comfortable working across cloud-native systems, and cares about both the technical depth and the developer experience of observability. You'll thrive here if you have opinions about what good observability looks like, and enjoy the challenge of making it real in a large, fast-moving organization.

Location: This role is based out of our Boston, MA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

What You'll Do

• Own and evolve Axon's distributed tracing infrastructure, including Jaeger and OpenTelemetry-based instrumentation, driving adoption across Axon's service-oriented architecture
• Build and operate Axon's log aggregation platform (Grafana Loki + Alloy), expanding use cases beyond Kubernetes event logs and reducing organizational dependency on expensive third-party log tooling (including Splunk)
• Maintain and improve Axon's metrics infrastructure (Cortex, Prometheus, Grafana) — the foundation for alerting, dashboards, and SLO tracking across all of Axon's environments
• Write internal tooling and automation that makes observability self-service: toolkit commands, agentic on-call helpers, runbook generation, and dashboard scaffolding
• Manage observability infrastructure as code via Terraform, CDK, ArgoCD, and Helm — including capacity management, cybersecurity requirements and compliance, and on-call rotation participation
• Work directly with engineering teams across Axon to define instrumentation standards, drive tracing adoption, and help teams build meaningful SLOs for their services

Basic Qualifications

• Bachelor's Degree in Computer Science, Engineering, or an equivalent highly technical field
• 7+ years of experience in SRE, platform engineering, or infrastructure engineering
• Strong Linux systems fundamentals and comfort working in Kubernetes-based environments
• Hands-on experience with one or more components of the LGTM stack: Loki, Grafana, Tempo/Jaeger, or Mimir/Cortex
• Experience with infrastructure as code — Terraform strongly preferred, CDK is a plus
• Experience with any of: Golang, Python, or Java
• United States citizen — able to gain CJIS clearance for full US production access

Preferred qualifications

• Experience deploying and operating distributed tracing systems (OpenTelemetry, Jaeger, Tempo, or similar)
• Familiarity with OpenTelemetry — instrumentation, collectors, and pipelines
• Experience with GitOps workflows
• Exposure to 24/7 high-volume systems with formal SLA requirements
• Experience with agentic AI tooling or building LLM-powered developer tools
• Ability to debug complex multi-service distributed systems

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Development Programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Your Impact

We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• US: Seattle, Boston, Scottsdale

Responsibilities

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
• Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
• Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
• Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
• Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
• Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
• Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
• Experience coach and mentor junior scientists.

What You Bring

• PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our Boston, MA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.

At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities, and each other.

Life at Axon is fast-paced, challenging, and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Your Impact

As Axon's Senior D365 F&O Solutions Analyst, you will be the connective tissue between our enterprise systems, financial operations, and the next generation of AI-powered automation. You'll leverage Microsoft Dynamics 365 F&O to drive supply chain excellence while bringing deep finance and accounting knowledge to optimize end-to-end business processes. This role is for someone who doesn't just use technology — they push it forward, actively deploying AI agents, Power Platform solutions, and MCP integrations to multiply the impact of every process they touch. If you're excited by the idea of building agentic workflows that help Axon's mission scale, this is your seat at the table.

What You'll Do

Location: 4 days in the office (Tuesday-Friday) Hybrid from Axon HQ locations - Scottsdale, Seattle, Boston, Atlanta and New York.

Reports to: Director, D365 Enterprise Applications

Direct Reports: None (Individual Contributor with strong cross-functional influence)

• Own and optimize D365 F&O modules spanning Supply Chain Management (procurement, inventory, warehouse management, supply planning) and Finance (general ledger, accounts payable/receivable, fixed assets, cost accounting) — ensuring system configuration aligns with evolving business needs and financial controls.
• Drive AI-first process improvement by designing and deploying agentic workflows using Microsoft Copilot Studio, Power Automate, and MCP integrations that reduce manual effort across finance and supply chain operations.
• Partner with Finance leadership to ensure accurate financial reporting, month-end close support, cost variance analysis, and compliance with GAAP — translating accounting requirements into D365 configurations and automation solutions.
• Build and maintain Power Platform solutions (Power Apps, Power Automate, Power BI) that surface real-time supply chain and financial KPIs to business stakeholders, enabling data-driven decisions at every level.
• Lead cross-functional discovery and requirements gathering with Finance, Operations, Procurement, and IT teams — translating business needs into functional D365 specifications, user stories, and solution designs.
• Implement and manage agentic AI experiences — using tools such as Azure AI Foundry, Copilot Studio, or third-party LLM integrations via MCP.
• Serve as a subject matter expert on D365 F&O data models, supporting integrations with external systems (EDI, Salesforce, etc.) and ensuring data integrity across the enterprise technology stack.
• Champion a culture of continuous improvement and AI literacy within the Finance and Supply Chain teams — conducting enablement sessions, documenting processes, and identifying the next wave of automation opportunities.
• Support system upgrades, new module rollouts, and D365 release wave evaluations — assessing impact, coordinating testing, and communicating changes to business users.

What You Bring

• 7+ years of hands-on experience with Microsoft Dynamics 365 F&O in a functional or techno-functional capacity, with deep expertise in: Supply Chain Management, Procurement & Sourcing, Inventory Management, Finance/GL, or Cost Accounting.
• Solid foundation in Finance & Accounting principles — you can hold your own in a conversation about month-end close, cost variance, AP/AR workflows, or financial controls, and you understand how those requirements translate into D365 configuration.
• Demonstrated experience building agentic or AI-powered solutions — whether through Microsoft Copilot Studio, Power Automate with AI Builder, Azure AI services, LLM integrations via MCP, or equivalent platforms. You actively use AI in your day-to-day work, not just talk about it.
• Proficiency in the Microsoft Power Platform (Power Apps, Power Automate, Power BI) with a track record of delivering production solutions that solved real business problems.
• Strong analytical and problem-solving skills — able to diagnose process gaps, design elegant solutions, and communicate trade-offs clearly to both technical and non-technical audiences.
• Experience working in a fast-paced, high-growth technology or manufacturing environment, ideally supporting global finance or supply chain operations.
• Bonus: Familiarity with D365 F&O technical concepts (X++ basics, data entities, LCS, Azure DevOps ALM), or experience integrating D365 with MCP-enabled AI agents or external LLM tooling.

Director Sales, East at Unframe 

Location: East Coast, USA

About Unframe:

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re looking for a Director of Enterprise Sales to drive go-to-market execution within their assigned region, leading a team of Strategic Account Executives focused on new enterprise acquisition and account expansion.

You’ll partner closely with the Regional Vice President and executive leadership to drive quota attainment, improve deal execution, and scale a high-performance sales culture.

What you’ll do:

• Lead and Develop a High-Performing Team
• Manage and coach Strategic AEs, reinforcing excellence in discovery, multi-threaded engagement, forecasting discipline, and enterprise deal strategy.
• Drive Regional Pipeline and Revenue Execution
• Support team pipeline generation, deal progression, and accurate forecasting across complex, multi-stakeholder enterprise sales cycles.
• Elevate Deal Strategy
• Act as a player-coach in key opportunities, helping AEs navigate C-suite conversations, technical validation, procurement, and compliance stakeholders.
• Ensure strong CRM hygiene, forecast accuracy, pipeline inspection, and adherence to defined sales processes.
• Collaborate with Product Solutions, Partnerships, Marketing, and Customer Success to ensure seamless execution from first meeting through expansion.
• Identify regional market opportunities and provide feedback loops to influence GTM strategy and enablement programs.

What we are looking for:

• 5+ years in enterprise sales leadership or team lead roles.
• 8+ years in enterprise software sales (AI/ML, data infrastructure, digital transformation preferred).
• Experience closing and coaching $1M+ ACV enterprise deals.
• Strong forecasting discipline and pipeline management expertise.
• Deep understanding of consultative, solution-based selling.
• Entrepreneurial mindset, comfortable operating in high-growth, fast-paced environments

Nice to have:

• Experience selling into regulated industries.
• Experience building teams in early-stage or scaling SaaS environments.
• Experience operating within a multi-region enterprise GTM structure.

Why Join us?: 

• Compensation is uncapped with aggressive accelerators. At $1M+ ACV deal sizes, this structure rewards over-performance on meaningful deals.
• Our VP of Sales joined Unframe for three reasons: a founder with a proven exit, tier-one investors, and a product that's genuinely different and defensible. The GTM approach backs that up. Buyers get a free POC, tailored to their actual use case, delivered in days. No data sharing, no upfront cost, no six-month consulting engagement before anyone sees value.
• You'll work directly with the VP of Sales and founders, shape GTM strategy, close the deals that define our market position, and hold equity in a company with real institutional backing and momentum.
• We hire with intention. If you thrive in a performance culture with real backing behind you, you will win here.

Ready to Build the Future?

If this opportunity excites you, apply now!

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.

Job Summary

This Senior Full Stack Engineer engineer role in which you lead technical efforts across multiple teams or subsystems, owning system architecture and development across the stack. A Senior Software Engineer drives technical innovation, acts as a mentor and process advocate, driving improvements that scale beyond a single team. You will exercise high discretion over technical decisions and influence department-level business outcomes. Providing strong leadership within and across scrum teams to align execution with architectural vision.

Essential Duties and Responsibilities

• Proactively research, prototype, and introduce new technologies or architectural approaches that improve team or org-wide capabilities.
• Own the reliability, observability, and operational excellence of key systems—ensuring they meet or exceed defined SLAs.
• Actively mentor and sponsor engineers across levels, fostering career growth and encouraging broader technical participation.
• Continuously evolve team processes, driving scalable improvements in delivery, quality, and collaboration.
• Drive impact at the team and cross-team level.
• Provide strong technical leadership across one or more scrum teams, aligning execution with architectural vision and business goals.

Education, Experience, Knowledge, Skills, and Abilities

• 6-8 years of experience of software development experience
• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• Strong proficiency in TypeScript and modern JavaScript.
• Extensive experience with React and JavaScript web development frameworks (Next.js preferred)
• Familiarity with OAuth2, JWT, and other authentication/authorization frameworks.
• Experience with CI/CD pipelines and cloud deployment platforms (Vercel, AWS, Azure, or GCP)
• Experience with ORM frameworks and relational databases (Prisma, Drizzle, PostgreSQL)
• Strong understanding of integration patterns (pub/sub, webhook, ETL, etc.).
• Excellent debugging, analytical, and problem-solving skills.

Preferred Experience

• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and AI application development
• Experience building AI automation workflows with n8n or similar platforms (Make, Zapier, Temporal)
• Experience with embeddings, prompt engineering, and semantic search
• Familiarity with AI orchestration frameworks and agent-based systems

Working Conditions and Physical Requirements

The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation.
Sitting and / or standing - Must be able to remain in a stationary position 50% of the time
Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day.
Environment - remote, work-from-home 100% of the time with travel to client sites

Pay Range Disclosure

At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business.

The national estimate for the current base range for the position of Senior Full Stack Engineer is: $140,400 - $175,500.

This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

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

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

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 Customer Success Data and Analytics (CSDA) team supports Care Operations, Customer Success, Education, and Voice of the Customer. We are building a new generation of data products that extract structured, actionable insight from unstructured customer interactions using NLP, ML, and LLM-based approaches.

As the Principal Data Product Manager, Applied AI, you will own the agenda for how AI-enriched data improves our understanding of the customer experience. You will prototype, validate, and scale a portfolio of AI-powered data products that give our CS organization insight it has never had before. You will also serve as a resource and thought partner for teammates and other teams across Toast who are working with CS data in an AI context, helping make that work faster, more consistent, and more reliable.

This is a hands-on, high-ownership role. You will spend time in Snowflake and Hex building things, and you will spend time with CS leaders explaining what those things mean and why they matter. The right person for this role is equally comfortable doing both.

A Day in the Life (Responsibilities)

Enablement and Shared Practice

• Technical Resource: Serve as the go-to resource on applied AI and NLP with CS data for your CSDA teammates and other teams across Toast.
• Best Practices: Build and maintain a practical library of guidance regarding successful prompts, pitfalls to watch for, and how to structure CS data for AI use cases.
• Market Intelligence: Stay current on how CS data is being used with AI tools across the organization to keep CSDA ahead of the curve.
• Facilitation: Act as a facilitator for AI prototyping work, helping analysts and stakeholders structure experiments so outputs are reliable and usable.

Applied AI and ML Product Development

• Portfolio Ownership: Drive an active portfolio of prototyping work focused on enriching the CSDA data model with insight extracted from unstructured contact data.
• Strategic Focus: Focus on contact classification, intelligent summarization, sentiment analysis, churn signal detection, and product mention extraction.
• End-to-End Design: Manage the pipeline from problem framing and prompt design to embedding generation, classifier training, and final production.
• Stakeholder Validation: Run structured validation processes, including codebook reviews and labeling sessions, to earn trust before products scale.

Scaling and Productionalization

• Readiness Framework: Maintain a clear framework for deciding what is ready to scale based on business value, quality, and maintenance requirements.
• Engineering Partnership: Partner closely with the CSDA data engineering team to scope and hand off production-grade implementations.
• Quality Governance: Own the quality review process for AI products in production, including monitoring for output drift and driving recalibration.
• Product Advocacy: Serve as the face of these products with stakeholders, explaining how they work and being honest about their limitations.

What You’ll Need to Thrive (Requirements)

• Relevant Experience: 6+ years of experience in analytics, data science, ML, or NLP in a data-intensive environment.
• AI Fluency: Practical fluency with LLMs, including prompt engineering, structured output extraction, and model evaluation.
• Product Instincts: You think about what you are building in terms of who uses it and how you will know if it is working.
• Project Leadership: Strong program and stakeholder management skills with the ability to move things forward without formal authority.
• Technical Expertise: Applied experience with text data and NLP/ML techniques such as LLMs, classifiers, or embeddings.
• Core Skills: Expert-level SQL and solid Python proficiency with the ability to build and iterate on ML pipelines independently.
• Communication Mastery: Ability to explain complex classification pipelines to non-technical leaders and push back on requirements when necessary.

What Will Help You Stand Out (Nice to Haves)

• Specific Tooling: Experience with Snowflake Cortex, including COMPLETE and EMBED_TEXT functions.
• Library Familiarity: Familiarity with scikit-learn, spaCy, Hugging Face, or sentence-transformers.
• Domain Expertise: Prior work in a Customer Success, Care, or CX analytics context.
• Workflow Design: Experience building human-in-the-loop validation workflows or labeling interfaces.
• Proven Impact: A track record of prototyping things that made it into production and were successfully used.

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.

Role overview

Our Information Security team is responsible for ensuring the security of our customers and the safety of our data. As the Manager of Security GRC, you will guide the evolution of our established GRC function. You aren't just maintaining a program; you are maturing our capabilities to ensure that security is a tailwind for our business, transforming complex regulatory requirements into a competitive advantage.

You will be a strategic leader who balances high-standard execution with a focus on Revenue Enablement, ensuring our security posture removes friction from the enterprise sales cycle and reinforces our market position as a trusted partner.

What you'll do

• Take ownership of an established team to elevate our GRC maturity. You will develop and refine our Integrated Management System (IMS) across ISO 27001, 27017, 27018, and SOC 2 Type II.

• Modernize our risk reporting by leveraging quantitative risk management. You will move beyond qualitative "Red/Yellow/Green" charts to provide real-time, data-driven insights and financial risk projections using FAIR principles.

• Serve as a leading voice on our AI Governance Committee. You will guide the secure adoption of AI/LLM features within our product and oversee the governance of AI integration across our internal SaaS ecosystem, aligned with ISO 42001.

• Focus on GRC as a revenue driver. By maturing our compliance and risk functions, you will ensure our security trust posture supports global growth and instills immediate confidence in our largest enterprise customers.

• Partner with Product and Engineering to validate and mature technical controls within cloud environments (e.g. AWS, GCP) and cloud data warehousing environments (e.g. Snowflake). You will ensure that compliance is a seamless part of the CI/CD pipeline and agile software development lifecycle.

• Provide expert guidance on GDPR and CPRA, ensuring our risk management strategies remain resilient in a rapidly changing global privacy landscape.

What you'll bring

• You have 7+ years in Information Security and a track record of maturing established teams. You know how to keep team performance on track while maintaining momentum toward strategic goals.

• You have a deep understanding of AWS security services and Snowflake data governance. You are comfortable challenging and supporting technical teams to innovate and solve strategic challenges.

• You embody a growth mindset and use data and facts to inform priorities. Experience with SAFE Security or similar CRQM platforms is a significant plus.

• A Change Leader: You are comfortable with ambiguity and adapt quickly when priorities change. You encourage experimentation within your team to automate evidence collection and risk discovery.

• A Caring Collaborator: You lead with empathy and inclusion, building diverse teams that support one another. You are a cultural ambassador who can see things from others' viewpoints and reconcile multiple stakeholder views to drive results.

• A Clear Communicator: You bring people along with your vision. You can translate technical risk into business value for executive decision-makers and functional leaders.

Our Leadership Competencies:

We hire leaders who are a Catalyst for Impact, a Coach to their peers, a clear Communicator, an innovative Change Leader, and a Caring Collaborator. In this role, you will be expected to:

• Set high standards and take full ownership of the GRC roadmap.

• Proactively manage the growth of team members through clear feedback and experiential opportunities.

• Engage key decision-makers across business functions to support complex, cross-functional initiatives.

• Navigate organizational dynamics to establish accountability and ensure successful delivery of results.

About commercetools

Real innovation starts with a strong foundation, and at commercetools, that comes from the perfect balance of our product and our people.

Behind every leap forward is a collective of builders, explorers, doers, makers, and problem-solvers. The kind of people who not only created composable commerce but also shaped the culture of experimentation that idea unlocked. Together they are the engine of commerce innovation today.

At commercetools, we power the next era of commerce for our customers. Whether it’s AI-driven solutions that help enterprises make smarter business decisions, bridging digital and physical shopping experiences, or enabling entirely new ways for industries to connect with their customers, we help the world’s most ambitious companies experiment, scale, and grow without limits.

Here the best idea wins, not the loudest voice. You will have the tools, trust, and space to not only build the future of commerce, but to build your own.

The Opportunity

As a Senior Technical Product Marketing Manager at commercetools, you will serve as the strategic lead for the company's foundational platform, ecosystem enablers (Agent Gateway and integrations) and AI Hub.This role requires a hands-on mastery of modern commerce architecture and AI concepts—including LLMs and agentic systems—to bridge the gap between deep engineering concepts and compelling market storytelling. By acting as a technical peer to Product teams, you will translate innovations like composable architecture into value-driven narratives that help global enterprises experiment and scale.

This role is hybrid, with three days a week spent in our Boston , Valencia, London, Berlin or München, Bayern, office.

Your Impact

• Drive Platform Differentiation: Refine our platform’s differentiated positioning to drive awareness, adoption, and revenue growth; lead messaging and GTM for related products (AI Hub, Agent Gateway, integrations), ensuring cohesive narratives that highlight business and technical value
• AI Evangelism: Translate complex concepts like agentic commerce, LLMs, and API orchestration into clear value propositions for both technical and business audiences.
• Joint Propositions: Amplify joint value propositions with key technology partners including Google Cloud, AWS, Microsoft, and OpenAI.
• Cross-Functional Collaboration: Partner with Product and Engineering to shape launch strategies for new platform capabilities, integrations, and AI-powered features, understanding architectural trade-offs, constraints, and real-world implementation considerations
• Audience Insights: Conduct deep research into customer, partner, and developer needs to inform product direction and competitive messaging.
• Technical Enablement: Develop grounded content—from demos to thought leadership—that aligns GTM teams and empowers customers to adopt new innovations.

What Sets You Apart

You bring:

• Technical Expertise: A background in Engineering or Product Management with a deep understanding of technical concepts like LLMs, agent orchestration, MCP/ACP-style protocols, model routing, tool invocation, API-driven orchestration, and more.
• Strategic Communication: The ability to collaborate with engineers on technical constraints (security, latency, compliance) while turning that data into compelling, scalable stories.
• GTM Leadership: Experience in high-growth, global organizations where you have turned complex product launches into repeatable processes and internal enablement wins.
• AI Aptitude: A proactive mindset for using AI tools to optimize your own workflow and a constant drive to master emerging tech.
• Bonus Points: Hands-on experience with commerce platforms (SAP, Shopify), developer tools, or major cloud ecosystems (GCP, AWS)

Nice to Have:

• Hands-on experience working with or marketing AI platforms, developer tools, or LLM-based products
• Familiarity with commerce platforms (e.g., SAP Hybris/Commerce Cloud, Shopify, etc.)
• Exposure to AI ecosystems and partners (e.g., OpenAI, Anthropic, Google, etc.)
• Familiarity with cloud providers (e.g., AWS, GCP, etc.)

Our Benefits

Because work and life are connected, our benefits are too. We’ve designed them to give you the security, flexibility, and opportunities you need to focus on what matters most.

🩺 Comprehensive health benefits for you and your dependents, including access to OpenUp for personalized mental health support

📚 Learning and development opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs

🍼 Family Leave Plus gives you additional fully paid weeks of parental leave on top of government-provided leave, so you can spend more time with your new addition

📈 Our equity participation program allows you to share in our success 

For more information on our benefits, visit this page.

Come as you are. Build with us.

Your unique perspective is essential to our success. We are committed to building a team that reflects the world around us because we know it’s the only way to build the future. We celebrate our differences and have created a hiring process that’s fair, inclusive, and designed to let your talent shine.

We proudly welcome applicants of every race, color, religion, gender identity, sexual orientation, age, and any other part of your identity that makes you who you are. As an equal opportunity employer, we believe that our strength lies in our diversity, and we invite you to be a part of our global community. 

For more information on our diversity, equity, inclusion, and belonging practices, visit this page.

Please note that the compensation range pertains to base pay

About commercetools

Real innovation starts with a strong foundation, and at commercetools, that comes from the perfect balance of our product and our people.

Behind every leap forward is a collective of builders, explorers, doers, makers, and problem-solvers. The kind of people who not only created composable commerce but also shaped the culture of experimentation that idea unlocked. Together they are the engine of commerce innovation today.

At commercetools, we power the next era of commerce for our customers. Whether it’s AI-driven solutions that help enterprises make smarter business decisions, bridging digital and physical shopping experiences, or enabling entirely new ways for industries to connect with their customers, we help the world’s most ambitious companies experiment, scale, and grow without limits.

Here the best idea wins, not the loudest voice. You will have the tools, trust, and space to not only build the future of commerce, but to build your own.

The Opportunity

As a Senior Technical Product Marketing Manager at commercetools, you will serve as the strategic lead for the company's foundational platform, ecosystem enablers (Agent Gateway and integrations) and AI Hub.This role requires a hands-on mastery of modern commerce architecture and AI concepts—including LLMs and agentic systems—to bridge the gap between deep engineering concepts and compelling market storytelling. By acting as a technical peer to Product teams, you will translate innovations like composable architecture into value-driven narratives that help global enterprises experiment and scale.

This role is hybrid, with three days a week spent in our Boston , Valencia, London, Berlin or München, Bayern, office.

Your Impact

• Drive Platform Differentiation: Refine our platform’s differentiated positioning to drive awareness, adoption, and revenue growth; lead messaging and GTM for related products (AI Hub, Agent Gateway, integrations), ensuring cohesive narratives that highlight business and technical value
• AI Evangelism: Translate complex concepts like agentic commerce, LLMs, and API orchestration into clear value propositions for both technical and business audiences.
• Joint Propositions: Amplify joint value propositions with key technology partners including Google Cloud, AWS, Microsoft, and OpenAI.
• Cross-Functional Collaboration: Partner with Product and Engineering to shape launch strategies for new platform capabilities, integrations, and AI-powered features, understanding architectural trade-offs, constraints, and real-world implementation considerations
• Audience Insights: Conduct deep research into customer, partner, and developer needs to inform product direction and competitive messaging.
• Technical Enablement: Develop grounded content—from demos to thought leadership—that aligns GTM teams and empowers customers to adopt new innovations.

What Sets You Apart

You bring:

• Technical Expertise: A background in Engineering or Product Management with a deep understanding of technical concepts like LLMs, agent orchestration, MCP/ACP-style protocols, model routing, tool invocation, API-driven orchestration, and more.
• Strategic Communication: The ability to collaborate with engineers on technical constraints (security, latency, compliance) while turning that data into compelling, scalable stories.
• GTM Leadership: Experience in high-growth, global organizations where you have turned complex product launches into repeatable processes and internal enablement wins.
• AI Aptitude: A proactive mindset for using AI tools to optimize your own workflow and a constant drive to master emerging tech.
• Bonus Points: Hands-on experience with commerce platforms (SAP, Shopify), developer tools, or major cloud ecosystems (GCP, AWS)

Nice to Have:

• Hands-on experience working with or marketing AI platforms, developer tools, or LLM-based products
• Familiarity with commerce platforms (e.g., SAP Hybris/Commerce Cloud, Shopify, etc.)
• Exposure to AI ecosystems and partners (e.g., OpenAI, Anthropic, Google, etc.)
• Familiarity with cloud providers (e.g., AWS, GCP, etc.)

Our Benefits

Because work and life are connected, our benefits are too. We’ve designed them to give you the security, flexibility, and opportunities you need to focus on what matters most.

🩺 Comprehensive health benefits for you and your dependents, including access to OpenUp for personalized mental health support

📚 Learning and development opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs

🍼 Family Leave Plus gives you additional fully paid weeks of parental leave on top of government-provided leave, so you can spend more time with your new addition

📈 Our equity participation program allows you to share in our success 

For more information on our benefits, visit this page.

Come as you are. Build with us.

Your unique perspective is essential to our success. We are committed to building a team that reflects the world around us because we know it’s the only way to build the future. We celebrate our differences and have created a hiring process that’s fair, inclusive, and designed to let your talent shine.

We proudly welcome applicants of every race, color, religion, gender identity, sexual orientation, age, and any other part of your identity that makes you who you are. As an equal opportunity employer, we believe that our strength lies in our diversity, and we invite you to be a part of our global community. 

For more information on our diversity, equity, inclusion, and belonging practices, visit this page.

Please note that the compensation range pertains to base pay

About commercetools

Real innovation starts with a strong foundation, and at commercetools, that comes from the perfect balance of our product and our people.

Behind every leap forward is a collective of builders, explorers, doers, makers, and problem-solvers. The kind of people who not only created composable commerce but also shaped the culture of experimentation that idea unlocked. Together they are the engine of commerce innovation today.

At commercetools, we power the next era of commerce for our customers. Whether it’s AI-driven solutions that help enterprises make smarter business decisions, bridging digital and physical shopping experiences, or enabling entirely new ways for industries to connect with their customers, we help the world’s most ambitious companies experiment, scale, and grow without limits.

Here the best idea wins, not the loudest voice. You will have the tools, trust, and space to not only build the future of commerce, but to build your own.

The Opportunity

As a Senior Technical Product Marketing Manager at commercetools, you will serve as the strategic lead for the company's foundational platform, ecosystem enablers (Agent Gateway and integrations) and AI Hub.This role requires a hands-on mastery of modern commerce architecture and AI concepts—including LLMs and agentic systems—to bridge the gap between deep engineering concepts and compelling market storytelling. By acting as a technical peer to Product teams, you will translate innovations like composable architecture into value-driven narratives that help global enterprises experiment and scale.

This role is hybrid, with three days a week spent in our Boston , Valencia, London, Berlin or München, Bayern, office.

Your Impact

• Drive Platform Differentiation: Refine our platform’s differentiated positioning to drive awareness, adoption, and revenue growth; lead messaging and GTM for related products (AI Hub, Agent Gateway, integrations), ensuring cohesive narratives that highlight business and technical value
• AI Evangelism: Translate complex concepts like agentic commerce, LLMs, and API orchestration into clear value propositions for both technical and business audiences.
• Joint Propositions: Amplify joint value propositions with key technology partners including Google Cloud, AWS, Microsoft, and OpenAI.
• Cross-Functional Collaboration: Partner with Product and Engineering to shape launch strategies for new platform capabilities, integrations, and AI-powered features, understanding architectural trade-offs, constraints, and real-world implementation considerations
• Audience Insights: Conduct deep research into customer, partner, and developer needs to inform product direction and competitive messaging.
• Technical Enablement: Develop grounded content—from demos to thought leadership—that aligns GTM teams and empowers customers to adopt new innovations.

What Sets You Apart

You bring:

• Technical Expertise: A background in Engineering or Product Management with a deep understanding of technical concepts like LLMs, agent orchestration, MCP/ACP-style protocols, model routing, tool invocation, API-driven orchestration, and more.
• Strategic Communication: The ability to collaborate with engineers on technical constraints (security, latency, compliance) while turning that data into compelling, scalable stories.
• GTM Leadership: Experience in high-growth, global organizations where you have turned complex product launches into repeatable processes and internal enablement wins.
• AI Aptitude: A proactive mindset for using AI tools to optimize your own workflow and a constant drive to master emerging tech.
• Bonus Points: Hands-on experience with commerce platforms (SAP, Shopify), developer tools, or major cloud ecosystems (GCP, AWS)

Nice to Have:

• Hands-on experience working with or marketing AI platforms, developer tools, or LLM-based products
• Familiarity with commerce platforms (e.g., SAP Hybris/Commerce Cloud, Shopify, etc.)
• Exposure to AI ecosystems and partners (e.g., OpenAI, Anthropic, Google, etc.)
• Familiarity with cloud providers (e.g., AWS, GCP, etc.)

Our Benefits

Because work and life are connected, our benefits are too. We’ve designed them to give you the security, flexibility, and opportunities you need to focus on what matters most.

🩺 Comprehensive health benefits for you and your dependents, including access to OpenUp for personalized mental health support

📚 Learning and development opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs

🍼 Family Leave Plus gives you additional fully paid weeks of parental leave on top of government-provided leave, so you can spend more time with your new addition

📈 Our equity participation program allows you to share in our success 

For more information on our benefits, visit this page.

Come as you are. Build with us.

Your unique perspective is essential to our success. We are committed to building a team that reflects the world around us because we know it’s the only way to build the future. We celebrate our differences and have created a hiring process that’s fair, inclusive, and designed to let your talent shine.

We proudly welcome applicants of every race, color, religion, gender identity, sexual orientation, age, and any other part of your identity that makes you who you are. As an equal opportunity employer, we believe that our strength lies in our diversity, and we invite you to be a part of our global community. 

For more information on our diversity, equity, inclusion, and belonging practices, visit this page.

Please note that the compensation range pertains to base pay

About commercetools

Real innovation starts with a strong foundation, and at commercetools, that comes from the perfect balance of our product and our people.

Behind every leap forward is a collective of builders, explorers, doers, makers, and problem-solvers. The kind of people who not only created composable commerce but also shaped the culture of experimentation that idea unlocked. Together they are the engine of commerce innovation today.

At commercetools, we power the next era of commerce for our customers. Whether it’s AI-driven solutions that help enterprises make smarter business decisions, bridging digital and physical shopping experiences, or enabling entirely new ways for industries to connect with their customers, we help the world’s most ambitious companies experiment, scale, and grow without limits.

Here the best idea wins, not the loudest voice. You will have the tools, trust, and space to not only build the future of commerce, but to build your own.

The Opportunity

As a Senior Technical Product Marketing Manager at commercetools, you will serve as the strategic lead for the company's foundational platform, ecosystem enablers (Agent Gateway and integrations) and AI Hub.This role requires a hands-on mastery of modern commerce architecture and AI concepts—including LLMs and agentic systems—to bridge the gap between deep engineering concepts and compelling market storytelling. By acting as a technical peer to Product teams, you will translate innovations like composable architecture into value-driven narratives that help global enterprises experiment and scale.

This role is hybrid, with three days a week spent in our Boston , Valencia, London, Berlin or München, Bayern, office.

Your Impact

• Drive Platform Differentiation: Refine our platform’s differentiated positioning to drive awareness, adoption, and revenue growth; lead messaging and GTM for related products (AI Hub, Agent Gateway, integrations), ensuring cohesive narratives that highlight business and technical value
• AI Evangelism: Translate complex concepts like agentic commerce, LLMs, and API orchestration into clear value propositions for both technical and business audiences.
• Joint Propositions: Amplify joint value propositions with key technology partners including Google Cloud, AWS, Microsoft, and OpenAI.
• Cross-Functional Collaboration: Partner with Product and Engineering to shape launch strategies for new platform capabilities, integrations, and AI-powered features, understanding architectural trade-offs, constraints, and real-world implementation considerations
• Audience Insights: Conduct deep research into customer, partner, and developer needs to inform product direction and competitive messaging.
• Technical Enablement: Develop grounded content—from demos to thought leadership—that aligns GTM teams and empowers customers to adopt new innovations.

What Sets You Apart

You bring:

• Technical Expertise: A background in Engineering or Product Management with a deep understanding of technical concepts like LLMs, agent orchestration, MCP/ACP-style protocols, model routing, tool invocation, API-driven orchestration, and more.
• Strategic Communication: The ability to collaborate with engineers on technical constraints (security, latency, compliance) while turning that data into compelling, scalable stories.
• GTM Leadership: Experience in high-growth, global organizations where you have turned complex product launches into repeatable processes and internal enablement wins.
• AI Aptitude: A proactive mindset for using AI tools to optimize your own workflow and a constant drive to master emerging tech.
• Bonus Points: Hands-on experience with commerce platforms (SAP, Shopify), developer tools, or major cloud ecosystems (GCP, AWS)

Nice to Have:

• Hands-on experience working with or marketing AI platforms, developer tools, or LLM-based products
• Familiarity with commerce platforms (e.g., SAP Hybris/Commerce Cloud, Shopify, etc.)
• Exposure to AI ecosystems and partners (e.g., OpenAI, Anthropic, Google, etc.)
• Familiarity with cloud providers (e.g., AWS, GCP, etc.)

Our Benefits

Because work and life are connected, our benefits are too. We’ve designed them to give you the security, flexibility, and opportunities you need to focus on what matters most.

🩺 Comprehensive health benefits for you and your dependents, including access to OpenUp for personalized mental health support

📚 Learning and development opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs

🍼 Family Leave Plus gives you additional fully paid weeks of parental leave on top of government-provided leave, so you can spend more time with your new addition

📈 Our equity participation program allows you to share in our success 

For more information on our benefits, visit this page.

Come as you are. Build with us.

Your unique perspective is essential to our success. We are committed to building a team that reflects the world around us because we know it’s the only way to build the future. We celebrate our differences and have created a hiring process that’s fair, inclusive, and designed to let your talent shine.

We proudly welcome applicants of every race, color, religion, gender identity, sexual orientation, age, and any other part of your identity that makes you who you are. As an equal opportunity employer, we believe that our strength lies in our diversity, and we invite you to be a part of our global community. 

For more information on our diversity, equity, inclusion, and belonging practices, visit this page.

Please note that the compensation range pertains to base pay

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

Here’s a collection of articles about our product, mission, recent funding round, etc.

We’re looking for a dynamic individual to join us as a Solutions Engineer, working with health system customers to pilot clinical solutions using the Layer Health platform.  Working alongside another Solutions Engineer on our team, you'll leverage your technical expertise and understanding of both healthcare workflows and healthcare integrations to collaboratively build bleeding-edge prototypes of clinical solutions and help discover the next generation of applications through participative design and iterative development with customers, including some of the largest healthcare systems in the country.  You'll collaborate closely with the Customer Success, Sales, and highly engaged Product Engineering teams to understand customer needs, rapidly prototype solutions, and successfully implement lightweight pilots. You will be instrumental in bridging the gap between clinical requirements and technical solutions for our flagship product, and you will be a pioneer for use case and product discovery for the company.

What you’ll do

• Partner with the Clinical Informatics and Customer Success teams to understand customer challenges and work collaboratively to develop and pilot clinical solutions that leverage the Layer Health platform.
• Work closely with Engineering to encourage best practices, adopt the latest developer tooling, and assess feasibility of translating proof-of-concepts into production.
• Produce documentation, including technical design and architectural diagrams, for these solutions. 
• Provide technical troubleshooting and support for clinical solutions.
• As part of the Clinical Informatics team, work to align solutions with clinical workflows, standards, and integration pipelines.
• Work closely with Product so that lessons learned from pilots translate to future product roadmaps.
• Work with Clinical Informatics to streamline the initial testing and validation of integrations with Health Systems (FHIR, HL7, etc.)
• Perform initial exploratory data analysis (EDA), working with our ML and data science teams to make sense of clinical data for downstream uses.
• Stay current with industry trends, clinical standards, and emerging technologies relevant to clinical solutions.

What you’ll need

• 3-5 years of experience deploying solutions into health care systems in a solutions engineering, clinical informatics, or technical sales role.
• Strong understanding of clinical workflows, data, and standards (e.g., HL7, FHIR).
• Fluency in Python, Pandas, standard API frameworks, and other common programming languages and libraries.
• Deep understanding of HIPAA and requirements for deploying secure solutions.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work collaboratively across internal teams.
• Passion for transforming healthcare with state-of-the-art AI technology.

Expected compensation range for this role is $180,000-200,000. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. 

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Layer Health is committed to fostering an environment of inclusion that is free from discrimination.  We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

Join us and help us transform healthcare with AI.

Your Impact

As our Controllership AI & Automation Transformation Lead, you will lead and deliver targeted AI, analytics, and automation initiatives that improve speed, quality, and scalability of Controllership processes.

You will own discrete projects/workstreams end-to-end, partner closely with Accounting, IT/Engineering, and Internal Audit, and deliver measurable results. This will involve leading meetings with process owners, understanding current state and pain points, defining business requirements, and using AI and automation tools to develop solutions. The outcome will involve working with IT/data teams, enabling the process owner to learn and build solutions themselves and/or you being hands on building solutions yourself.

What You’ll Do

Location: Boston MA (flexible for other Axon hubs)
Reports to: Director, Chief of Staff (Controllership)

• Define the AI transformation roadmap for Controllership.
• Identify and prioritize high-value automation/AI opportunities across Controllership processes (Accounting Operations, Tax, Financial Reporting, Internal Audit, Revenue Accounting, New Product Introduction).
• Define project scope, requirements, and success metrics; build ROI cases (hours saved, cycle-time reduction, error-rate reduction, rework avoided).
• Partner with Finance Systems / IT / Engineering to deliver solutions using automation, analytics, and AI/LLM-enabled tooling (e.g., workflow automation, controlled LLM assistance for drafting/analysis, intelligent triage).
• Build and validate analytics (e.g., SQL-based checks, reconciliation logic, KPI dashboards) to ensure outputs are accurate, explainable, and auditable.
• Present transformation outcomes to leadership and executive stakeholders.
• Drive project execution: timelines, risks, dependencies, stakeholder updates, UAT coordination, rollout planning, and post-launch stabilization.
• Serve as internal advisor on AI governance and adoption.
• Create documentation that supports SOX/audit readiness (process flows, control mapping, test evidence, governance & usage guidelines).
• Support change management: training, playbooks, and adoption monitoring to ensure solutions are used and sustained.
• Stay current on AI capabilities and tooling (including developer/productivity tools such as Cursor) and propose pragmatic pilots that improve finance outcomes.

What Success Looks Like

• Build and deliver a combination of high impact solutions (2–4 larger production-grade improvements per year) and play an integral role in enabling others to build dozens of other smaller improvements across core Controllership processes.
• Reduction of manual effort in a targeted process by 15–40% (or a defined hours/month goal) while maintaining or improving control quality.
• Improve close readiness for scoped areas (e.g., fewer late adjustments, fewer deal-review escalations, reduced cycle time for a defined workflow).
• Zero high-severity audit/control findings attributable to the implemented automation/AI workflow.

What You Bring

• 6+ years experience delivering measurable business results through data analytics, automation, and/or process transformation in Finance, Accounting, RevOps, or adjacent functions.
• Strong analytical skills (e.g., Python, SQL preferred) and experience using business intelligence tools (e.g., Alteryx, Power Query).
• Experience using AI tooling (e.g., Cursor, Claude, ChatGPT) to generate solutions to solve Accounting/Finance related problems.
• Strong knowledge of data governance.
• Working knowledge of accounting processes (Order-to-Cash, Procure-to-Pay, Record-to-Report) and the ability to partner effectively with Controllership stakeholders across those domains; quickly understand current state and pain points, and translate them into clear business requirements and solution options; experience supporting Revenue Accounting (ASC 606) strongly preferred.
• Demonstrated project/program management capability: scoping, planning, execution, stakeholder alignment, and delivery.
• Excellent written and verbal communication; can translate between Finance, technical teams, and business partners.
• Sound judgment around governance, risk, and controls when introducing automation/AI.
• Experience with Salesforce, D365, Microsoft Power Platform, or similar finance/CRM ecosystems.
• Hands-on experience implementing LLM-supported workflows (prompt/playbooks, guardrails, evaluation, adoption measurement).
• Experience in high-growth, hardware+software, or multi-element arrangement environments.
• Experience in a role that required rapid context-gathering in stakeholder meetings and guiding non-technical teams to technical solutions.
• CPA or equivalent; BS in Accounting/Finance or related field is a plus.

Work Location

This role is based from any of our US offices and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Your Impact

As our Controllership AI & Automation Transformation Lead, you will lead and deliver targeted AI, analytics, and automation initiatives that improve speed, quality, and scalability of Controllership processes.

You will own discrete projects/workstreams end-to-end, partner closely with Accounting, IT/Engineering, and Internal Audit, and deliver measurable results. This will involve leading meetings with process owners, understanding current state and pain points, defining business requirements, and using AI and automation tools to develop solutions. The outcome will involve working with IT/data teams, enabling the process owner to learn and build solutions themselves and/or you being hands on building solutions yourself.

What You’ll Do

Location: Boston MA (flexible for other Axon hubs)
Reports to: Director, Chief of Staff (Controllership)

• Define the AI transformation roadmap for Controllership.
• Identify and prioritize high-value automation/AI opportunities across Controllership processes (Accounting Operations, Tax, Financial Reporting, Internal Audit, Revenue Accounting, New Product Introduction).
• Define project scope, requirements, and success metrics; build ROI cases (hours saved, cycle-time reduction, error-rate reduction, rework avoided).
• Partner with Finance Systems / IT / Engineering to deliver solutions using automation, analytics, and AI/LLM-enabled tooling (e.g., workflow automation, controlled LLM assistance for drafting/analysis, intelligent triage).
• Build and validate analytics (e.g., SQL-based checks, reconciliation logic, KPI dashboards) to ensure outputs are accurate, explainable, and auditable.
• Present transformation outcomes to leadership and executive stakeholders.
• Drive project execution: timelines, risks, dependencies, stakeholder updates, UAT coordination, rollout planning, and post-launch stabilization.
• Serve as internal advisor on AI governance and adoption.
• Create documentation that supports SOX/audit readiness (process flows, control mapping, test evidence, governance & usage guidelines).
• Support change management: training, playbooks, and adoption monitoring to ensure solutions are used and sustained.
• Stay current on AI capabilities and tooling (including developer/productivity tools such as Cursor) and propose pragmatic pilots that improve finance outcomes.

What Success Looks Like

• Build and deliver a combination of high impact solutions (2–4 larger production-grade improvements per year) and play an integral role in enabling others to build dozens of other smaller improvements across core Controllership processes.
• Reduction of manual effort in a targeted process by 15–40% (or a defined hours/month goal) while maintaining or improving control quality.
• Improve close readiness for scoped areas (e.g., fewer late adjustments, fewer deal-review escalations, reduced cycle time for a defined workflow).
• Zero high-severity audit/control findings attributable to the implemented automation/AI workflow.

What You Bring

• 6+ years experience delivering measurable business results through data analytics, automation, and/or process transformation in Finance, Accounting, RevOps, or adjacent functions.
• Strong analytical skills (e.g., Python, SQL preferred) and experience using business intelligence tools (e.g., Alteryx, Power Query).
• Experience using AI tooling (e.g., Cursor, Claude, ChatGPT) to generate solutions to solve Accounting/Finance related problems.
• Strong knowledge of data governance.
• Working knowledge of accounting processes (Order-to-Cash, Procure-to-Pay, Record-to-Report) and the ability to partner effectively with Controllership stakeholders across those domains; quickly understand current state and pain points, and translate them into clear business requirements and solution options; experience supporting Revenue Accounting (ASC 606) strongly preferred.
• Demonstrated project/program management capability: scoping, planning, execution, stakeholder alignment, and delivery.
• Excellent written and verbal communication; can translate between Finance, technical teams, and business partners.
• Sound judgment around governance, risk, and controls when introducing automation/AI.
• Experience with Salesforce, D365, Microsoft Power Platform, or similar finance/CRM ecosystems.
• Hands-on experience implementing LLM-supported workflows (prompt/playbooks, guardrails, evaluation, adoption measurement).
• Experience in high-growth, hardware+software, or multi-element arrangement environments.
• Experience in a role that required rapid context-gathering in stakeholder meetings and guiding non-technical teams to technical solutions.
• CPA or equivalent; BS in Accounting/Finance or related field is a plus.

Work Location

This role is based from any of our US offices and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Your Impact

As our Controllership AI & Automation Transformation Lead, you will lead and deliver targeted AI, analytics, and automation initiatives that improve speed, quality, and scalability of Controllership processes.

You will own discrete projects/workstreams end-to-end, partner closely with Accounting, IT/Engineering, and Internal Audit, and deliver measurable results. This will involve leading meetings with process owners, understanding current state and pain points, defining business requirements, and using AI and automation tools to develop solutions. The outcome will involve working with IT/data teams, enabling the process owner to learn and build solutions themselves and/or you being hands on building solutions yourself.

What You’ll Do

Location: Boston MA (flexible for other Axon hubs)
Reports to: Director, Chief of Staff (Controllership)

• Define the AI transformation roadmap for Controllership.
• Identify and prioritize high-value automation/AI opportunities across Controllership processes (Accounting Operations, Tax, Financial Reporting, Internal Audit, Revenue Accounting, New Product Introduction).
• Define project scope, requirements, and success metrics; build ROI cases (hours saved, cycle-time reduction, error-rate reduction, rework avoided).
• Partner with Finance Systems / IT / Engineering to deliver solutions using automation, analytics, and AI/LLM-enabled tooling (e.g., workflow automation, controlled LLM assistance for drafting/analysis, intelligent triage).
• Build and validate analytics (e.g., SQL-based checks, reconciliation logic, KPI dashboards) to ensure outputs are accurate, explainable, and auditable.
• Present transformation outcomes to leadership and executive stakeholders.
• Drive project execution: timelines, risks, dependencies, stakeholder updates, UAT coordination, rollout planning, and post-launch stabilization.
• Serve as internal advisor on AI governance and adoption.
• Create documentation that supports SOX/audit readiness (process flows, control mapping, test evidence, governance & usage guidelines).
• Support change management: training, playbooks, and adoption monitoring to ensure solutions are used and sustained.
• Stay current on AI capabilities and tooling (including developer/productivity tools such as Cursor) and propose pragmatic pilots that improve finance outcomes.

What Success Looks Like

• Build and deliver a combination of high impact solutions (2–4 larger production-grade improvements per year) and play an integral role in enabling others to build dozens of other smaller improvements across core Controllership processes.
• Reduction of manual effort in a targeted process by 15–40% (or a defined hours/month goal) while maintaining or improving control quality.
• Improve close readiness for scoped areas (e.g., fewer late adjustments, fewer deal-review escalations, reduced cycle time for a defined workflow).
• Zero high-severity audit/control findings attributable to the implemented automation/AI workflow.

What You Bring

• 6+ years experience delivering measurable business results through data analytics, automation, and/or process transformation in Finance, Accounting, RevOps, or adjacent functions.
• Strong analytical skills (e.g., Python, SQL preferred) and experience using business intelligence tools (e.g., Alteryx, Power Query).
• Experience using AI tooling (e.g., Cursor, Claude, ChatGPT) to generate solutions to solve Accounting/Finance related problems.
• Strong knowledge of data governance.
• Working knowledge of accounting processes (Order-to-Cash, Procure-to-Pay, Record-to-Report) and the ability to partner effectively with Controllership stakeholders across those domains; quickly understand current state and pain points, and translate them into clear business requirements and solution options; experience supporting Revenue Accounting (ASC 606) strongly preferred.
• Demonstrated project/program management capability: scoping, planning, execution, stakeholder alignment, and delivery.
• Excellent written and verbal communication; can translate between Finance, technical teams, and business partners.
• Sound judgment around governance, risk, and controls when introducing automation/AI.
• Experience with Salesforce, D365, Microsoft Power Platform, or similar finance/CRM ecosystems.
• Hands-on experience implementing LLM-supported workflows (prompt/playbooks, guardrails, evaluation, adoption measurement).
• Experience in high-growth, hardware+software, or multi-element arrangement environments.
• Experience in a role that required rapid context-gathering in stakeholder meetings and guiding non-technical teams to technical solutions.
• CPA or equivalent; BS in Accounting/Finance or related field is a plus.

Work Location

This role is based from any of our US offices and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work