About Inizio Ignite:

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

Role Overview

The Senior Account Enablement Manager plays a pivotal role in driving operational excellence and strategic alignment across Ignite’s global sales ecosystem. This role leads the Account Enablement team, ensuring consistent, high-quality support for Ignite Sales Executives and Account teams across North America, Europe, and APAC. The Lead will serve as a central coordination point between Sales, vertical delivery teams, and commercial enablement, enabling visibility, structure, and momentum for market-aligned growth initiatives.

What you'll be doing

 Account Enablement

• Lead and manage the Account Enablement team, fostering a culture of excellence, collaboration, and continuous improvement.
• Develop and apply consistent processes and tools to implement strategic account management processes across Ignite (as defined and utilized by Ignite Sales Executive team)
• Align support of account enablement team to Ignite top 10 priority accounts
• Drive best practices across pursuit readiness, lead tracking, account planning, and client relationship visibility.
• Act as the central liaison between Sales Executives, vertical delivery teams, and commercial enablement, ensuring efficient follow-up on pipeline activity and meeting preparation.
• Track client relationships, role/activity movement, and account-level performance against goals, supporting strategic decision-making.

 Support and Facilitation of Account Performance Reviews

• Partner with Business Intelligence and Reporting lead to plan and prepare materials for quarterly business reviews and ongoing account planning discussions
• Provide ongoing research and analysis to provide Sales Executives and Account teams with news and industry insights to better position Ignite for success

CRM Usage & Adoption

• Drive consistent HubSpot adoption across the Account Enablement, Sales Executive, and seller-doer teams by reinforcing required fields, account/pursuit tagging, meeting and activity logging expectations, and the “minimum viable” data needed to run account reviews and forecasting
• Partner with Enterprise CRM/Commercial Ops to translate system changes into practical Ignite workflows (job aids, quick trainings, and in-the-flow guidance) and serve as a point of escalation for user issues that impact account visibility. Resolve in partnership with Ignite point of contact within Commercial Ops team.
• Monitor and improve data quality by flagging recurring gaps (e.g., missing close dates, inconsistent stages, untagged opportunities) and coordinating follow-ups with Sales Execs and seller-doers to improve compliance and accuracy over time (supported by business partner on Commercial Ops team).

BD Process Harmonization

• Standardize account planning and pipeline management routines across accounts by aligning on common definitions, templates, and “ways of working” (e.g., what constitutes a qualified opportunity, stage expectations, and handoff points between Sales and delivery teams).
• Support alignment on key commercial metrics (pipeline, win rate, days-to-sell, average deal size, forecast accuracy, account health indicators) by partnering with Business Intelligence/Reporting to document definitions, reconcile inconsistencies, and drive adoption of a single set of Ignite reporting standards.
• Capture best practices and process improvements across legacy teams and geographies, identifying friction points and recommending pragmatic enhancements that reduce rework, improve speed-to-respond, and strengthen account-level visibility for leadership and Sales.

Region-Specific Growth Team Enablement

• Enable region-specific GTM and account planning activities, providing structure and visibility to market-aligned growth teams, as needed.
• Partner with Client Solutions and Marketing to ensure tools, templates, and processes are pulled through to account focused discussions

What you'll need

• Proven experience in sales operations, account management, or commercial enablement within a global organization.
• Strong leadership and team management skills, with experience leading cross-regional teams.
• Excellent communication and stakeholder engagement abilities.
• Familiarity with CRM tools (e.g., HubSpot, Salesforce) and sales analytics platforms.
• Ability to manage multiple priorities and drive alignment across diverse teams.
• Experience in health and life sciences or consulting preferred.
• Experience in an Inizio Ignite Consulting or similar service delivery role is preferred, to support consistency in client deliverables and alignment with established practices

Our Pledge

At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability.

Position Summary

This role will be an integral contributor to the SCS FP&A function, with a strong emphasis on data analytics, financial systems, automation, and scalable reporting. The ideal candidate brings a technical and analytical skill set — with experience in data analytics, data engineering, business intelligence, or financial systems — and can translate complex data into clear financial insights, executive-ready reporting, and actionable business recommendations.

The Senior Associate will partner closely with the Head of FP&A, CFO, and cross-functional stakeholders to improve financial reporting infrastructure, enhance forecasting and planning processes, support technology implementations, and deliver high-quality analysis for strategic initiatives. This role is well suited for someone who enjoys solving ambiguous business problems, working with large and complex datasets, building repeatable analytical processes, and communicating insights to senior leaders.

This is a hybrid role based in Boston, MA.

Primary Responsibilities

• Partner with the Head of FP&A and CFO on critical finance, data, and technology initiatives, including financial systems implementations, reporting automation, and planning process improvements
• Build, maintain, and enhance scalable financial reporting and analytical tools using Excel, Power BI, SQL, planning systems, or other data visualization / business intelligence platforms
• Support the annual budgeting and rolling forecasting processes by improving data workflows, coordinating stakeholder inputs, managing timelines, and ensuring accuracy across financial models and reporting outputs
• Partner with finance, accounting, operations, and technology teams to improve data quality, streamline reporting processes, and automate recurring analyses where possible
• Translate business questions into structured analyses, dashboards, models, and reporting outputs that support decision-making across the organization
• Manage multiple concurrent projects, ensuring priorities, milestones, deliverables, and stakeholder expectations are met in a dynamic environment

Qualifications

• Bachelor’s degree in finance, economics, data analytics, engineering, information systems, computer science, mathematics, or a related analytical field
• 3+ years of experience in IT development, data analytics, data engineering, business intelligence, consulting, or a similarly analytical / technical environment
• Strong analytical and problem-solving skills, with the ability to work with complex datasets and translate findings into clear business narratives
• Advanced Excel and SQL skills required; experience with Power BI, Python, Power Query, or similar data analytics / automation tools strongly preferred
• Experience building dashboards, automated reporting processes, financial models, or analytical tools that improve decision-making and reduce manual effort
• Strong understanding of financial statements, budgeting, forecasting, variance analysis, and key business performance drivers
• Experience with Workday Adaptive Planning, Snowflake, data warehouses, or similar financial planning / data platforms is a plus
• Demonstrated ability to structure ambiguous problems, manage analytical workstreams, and partner effectively with finance, technology, and senior business stakeholders
• Strong written and verbal communication skills, with the ability to present technical or analytical concepts clearly to non-technical audiences
• Detail-oriented, intellectually curious, and comfortable balancing hands-on data work with executive-level communication and project management

This is an exempt position. The annualized base pay range for this role is expected to be between $90,000 - $110,000.  Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set.  The base pay is just one component of the total compensation package for employees.  Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.

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About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

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Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value where we support the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

Accordion Intelligence Lab

The AI Lab is composed of leading software and AI engineers, designing agentic-AI solutions ahead of the market. Our group builds and operationalizes the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production observability.

The Lab works closely with practice leaders to translate research findings into scalable, reliable tools that advance Accordion’s AI-driven value creation work for PE clients and their portfolio companies.

About the Role

We're looking for a Data Specialist to join one of Accordion's AI-augmented delivery pods. These pods are purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations.

In this role, you are the person who makes data work in practice. You move fluidly between messy source systems and production-ready pipelines, and you do it fast. You'll work directly alongside AI engineers and product managers to scope data requirements, diagnose quality issues, and build the data foundations that AI systems depend on. Client-facing moments come with the territory. You'll need to ask sharp questions, explain what you're seeing in plain language, and earn trust quickly.

This is not a role for someone who needs clean handoffs and stable requirements. The data is complicated, the timelines are short, and the problems change. If that sounds like the environment where you do your best work, this is the role.

What You’ll Do

• Build and maintain the data pipelines, models, and integrations that AI systems depend on, from raw source data to production-ready outputs
• Scope, design, and write custom ML models tailored to client problems, from feature engineering through evaluation and deployment
• Explore unfamiliar datasets with speed and rigor: identify structure, surface anomalies, and form a clear point of view on what the data can and can't support
• Diagnose data quality issues quickly, communicate their impact clearly, and drive resolution without waiting to be asked
• Work directly alongside AI engineers and product managers to translate ambiguous client problems into reliable, well-documented data products
• Run client working sessions on data (source system walkthroughs, model findings, quality assessments) and own the room when you do
• Tell the data story to non-technical audiences: in a chart, in a slide, in a meeting with a CFO who doesn't have time for jargon
• Navigate enterprise data environments fluently (ERP systems, BI platforms, financial data infrastructure) and get things done inside them
• Use AI tools to move faster across the full scope of your work: exploration, modeling, documentation, and client communication
• Travel to client site as needed

Success in the First 6 Months

• Own end-to-end data delivery on multiple AI engagements, from initial source system assessment through production-ready pipelines
• Establish a reputation within your pod for being the person who finds the data problem before it becomes the team's problem
• Run direct client working sessions on data (scope, quality, or access) and leave the client confident in your read of the situation
• Demonstrate faster, higher-quality output because of how you use AI tools, not just that you use them

 What You’ll Bring

• Deep, practical data skills across the full stack: SQL, Python, machine learning, data modeling, pipeline development, and hands-on experience with messy, real-world source systems
• Strong instincts for data quality: You find the problem, quantify the impact, and communicate what it means before anyone has to ask
• Experience working in fast-moving, sprint-based environments where requirements shift and you still ship
• Comfort working directly with clients: Asking the right questions, translating technical findings into plain language, and building credibility quickly
• Background in finance or PE-adjacent environments: ERP systems, FP&A data, financial close processes, or portfolio company data infrastructure
• Fluent with AI and ML workflows: Enough to understand what the engineers need from the data layer, why it matters, and the ability to teach what you know
• AI tools woven into how you work daily, with demonstrably faster output to show for it
• Strong written communication: you can document a model, write a findings summary, produce compelling stories from messy data, and draft a client-facing issue log clearly and quickly

This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.

The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment (not because they cut corners). They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.

The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

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About VulnCheck

VulnCheck is transforming vulnerability intelligence by helping security teams act faster and with more confidence. Our platform delivers early, high-quality exploit intelligence, deep asset correlation, and contextual insights to help organizations stay ahead of emerging threats.

About the Role

VulnCheck is looking for a Revenue Operations Manager to help support the operational engine that powers our go-to-market teams. This role sits at the intersection of Sales, Marketing, Customer Success, and Finance, ensuring that our systems, processes, and data drive predictable, efficient revenue growth. You will play a critical role in owning CRM integrity, optimizing revenue workflows, building reporting infrastructure, and generating actionable insights for leadership. As VulnCheck continues to grow, you’ll help design scalable processes that support pipeline visibility, forecasting accuracy, and operational excellence. This is an opportunity to shape Revenue Operations and make an impact at a fast-growing cybersecurity company. Although this is a 100% remote role, candidates must be located in Greater Boston Massachusetts or Greater Austin Texas region.

What You’ll Do

• Own and optimize Salesforce & Hubspot, data hygiene, and workflow automations
• Build and maintain dashboards and reporting for pipeline health, forecasting, bookings, churn, and expansion
• Partner with Sales &  Marketing to define, measure and analyze KPIs and performance metrics
• Help manage the GTM tech stack (Hubspot, Salesforce, Revenue Hero, Outreach, Clay, Quotapath, GTMBuddy, etc)
• Drive data integrity initiatives and ensure consistent reporting standards

You might be a great fit if you:

• You think like an owner and optimize for company outcomes, not just task completion
• You ask thoughtful “why” questions to understand the full business context before driving change
• You’re highly analytical and comfortable breaking down funnel math, forecasting logic, and revenue drivers
• You turn data into clear recommendations and not just dashboards
• You’re ambitious, growth-oriented, and motivated to expand your impact over time

What You’ll Bring:

• 4+ years of experience in Revenue Operations, Sales Operations, or GTM Systems roles within a B2B SaaS environment
• Hands-on administration experience in Salesforce, including object design, workflow automation, validation rules, reporting, and data governance
• OR Hands-on experience with HubSpot, including lifecycle stages, lead scoring, automation, and marketing-to-sales handoff optimization
• Experience building executive-level dashboards covering pipeline health, conversion rates, forecasting, bookings, and churn/expansion
• Strong working knowledge of SaaS metrics (ARR, ACV, sales velocity, pipeline coverage, NRR, churn)
• Proven ability to design and optimize scalable revenue processes across the full customer lifecycle

Preferred 

• Experience in a high-growth B2B SaaS company
• Experience integrating and optimizing a broader GTM tech stack (enrichment tools, sales engagement platforms, BI tools, etc.)
• Background in cybersecurity or enterprise software

What We Offer

We believe people do their best work when they feel supported, trusted, and valued. VulnCheck offers benefits designed to meet a wide range of needs and lifestyles:

Benefits and Perks

• Competitive salary with employee equity program
• Health, dental, and vision coverage
• Unlimited PTO + All federal holidays observed
• 401(k) program - 100% match on the first 3%, then 50% of the next 3-5% of compensation
• Short and long-term disability coverage
• Remote friendly environment with flexibility
• Expense reimbursement for home internet and phone 
• Ongoing professional development, coaching, and learning resources
• Opportunities for career advancement within a fast-growing team

Why Join Us

Built on over two decades of cybersecurity experience, our team of experts understands the intricacies of vulnerabilities, their exploitation in the wild, and how to leverage this data to build more effective cybersecurity products that produce better outcomes for organizations.

VulnCheck gives organizations a tactical advantage by providing best-in-class exploit & vulnerability intelligence information. We have a sense of duty to protect the critical infrastructure we rely on including medical devices, power grids and telecommunication networks. We were founded in 2021 in Lexington, Massachusetts.

VulnCheck has a transparent, collaborative, and supportive culture - we are looking for people who have a growth mindset, are curious and innovative. Our team is smart, but humble, hardworking, and supportive.

VulnCheck is proud to be an Equal Employer Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. VulnCheck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment. 

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.

Strategic Finance Practice | Exit Planning and Transaction Support Sub-Practice  

This position is an exciting opportunity to join our Exit Planning and Transaction Support sub-practice, which is a dedicated, transaction-focused team within our broader Strategic Finance practice. This position requires candidates to have 3 to 5 years of experience in investment banking, private equity, or quality of earnings. 

Strategic Finance: Accordion’s Strategic Finance practice provides strategic advisory to CFOs to unlock end-to-end value creation, partnering with Finance teams on building capabilities to enhance performance visibility, planning activities, and data analytics to enable and accelerate value creation. By combining extensive operational FP&A experience, data and technology skills, and a proprietary engagement model, we develop and implement tools and processes and deliver solutions that meet the rigor and pace required in a private equity-backed environment.

Exit Planning and Transaction Support: Our Exit Planning and Transaction Support sub-practice, sitting within our broader Strategic Finance practice, focuses on the full spectrum of M&A execution: from financial modeling, valuation, and analytical support to serving in a bolt-on corporate development capacity. From quarterbacking current deals to developing playbooks and best practices for a robust acquisition strategy, from the fund level to the portfolio level, from platforms to add-ons to carve outs, “no job is too small, no fee is too big.” In addition to analyzing the financial and operational data, we help quantify current and future value creation opportunities, enabling investors to easily understand the trapped value within the business.

This position can be based in any of our U.S. offices and is a hybrid role with the flexibility to work remotely 2 days per week, with preferred locations being NYC, Boston, Chicago, or Dallas.

This position is not eligible for immigration sponsorship.

What You’ll Do:

As an Associate on a lean, cross-functional team, you will work collaboratively with a diverse set of colleagues to guide clients through a variety of transaction-related projects focused on preparing companies for sale and supporting them throughout the deal process. You will:

• Work with company management, private equity deal and operating teams, investment bankers, and other third parties to support the development of an equity story and other go-to-market materials
• Utilize both Excel and Business Intelligence tools (PowerBI, Power Query, and Power Pivot) to develop a variety of granular financial, operational, and business segment analyses
• Analyze, quantify, and validate deal-related assumptions including synergies, add-backs, and pro-forma financials
• Manage and / or support the development and population of an investor-ready data room
• Work with CFOs and their teams, respond to due diligence and other deal-related questions from either financial (private equity) or strategic (corporate) buyers
• Travel to client site as needed

The following representative engagement is emblematic of the type of work you’ll do as an Associate at Accordion: A PE-owned SaaS company requires sale preparation and related transaction support. Accordion has been engaged to take a leadership role alongside the CFO in the sell-side process. The deliverables include historical financial reporting, financial and operational KPIs, a 5-year financial projection model, and identification of value creation initiatives (realized and yet to be realized) to maximize the exit valuation. The Accordion team will serve as an extension of the CFO’s office to support a sale by responding to requests from investment banks, the executive team, and the sponsor during the preparation process, and to potential buyers during the sale process.

You Have:

• Required background of 3 to 5 years of experience in investment banking, private equity, or quality of earnings
• Proven ability to leverage Excel and other tools to manage, simplify, analyze, and present large and complex datasets
• Experience with Business Intelligence tools (PowerBI, Power Query, and Power Pivot) is highly desired
• High attention to detail and advanced quantitative skills, especially as it relates to financial modeling and corporate valuation
• Transactional finance experience, as well as an understanding of operational finance
• Prior experience preparing reports, presentations, and memos; ability to present data-driven insights in a clear, succinct, and comprehensive manner
• Strong drive and motivation, adhering to the highest professional standards in working with clients and colleagues
• An ability to work collaboratively and independently in a team-oriented environment, understanding how to take initiative and seek guidance when needed in order to advance your projects
• Bachelor's degree in Finance, Accounting, or Economics; MBA is a plus  
  

You Are:

• Excited to be part of a growing team, with a focus on driving future growth
• Passionate about delivering exceptional client service
• Knowledgeable about the relationship between private equity sponsors and their portfolio companies, particularly within the office of the CFO
• Willing to get your hands dirty in the details of a project while simultaneously seeing the whole picture
• Comfortable managing projects with multiple complex workstreams while also focused on your single workstream (you are managing and doing)
• A self-starter with a strong work ethic
• Full of entrepreneurial spirit and comfortable in a fluid, flat organization
• Able to effectively communicate complex issues and solutions, and raise issues to senior team members when necessary
• A team player, able to work with team members across all levels
• Someone who enjoys mentoring others and doing meaningful work
• A leader of others; you lead by example

The annual salary for this role ranges from: $120,000 to $170,000 + benefits + bonus.

Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

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Your Impact

As a Controllership AI & Automation Intern, you will support targeted AI, analytics, and automation initiatives that improve the speed, quality, and scalability of Controllership processes. You'll be embedded on a scoped workstream for approximately 3 months — partnering with Accounting, IT/Engineering, and other Finance stakeholders to deliver real, measurable results.

This is a hands-on builder role. You'll join meetings with process owners, help map current-state workflows and pain points, contribute to defining requirements, and use AI and automation tools to develop solutions. Depending on the initiative, you may work alongside IT/data teams, enable process owners to build solutions themselves, or get directly hands-on building them with us.

What You'll Do

Reports to: Director, NPI and AI Lead, Chief of Staff

• Support the identification and scoping of AI/automation opportunities within a defined Controllership process area (e.g., Accounting Operations, Revenue Accounting, Financial Reporting, Tax, or Internal Audit)
• Participate in stakeholder meetings to understand current-state workflows, pain points, and requirements — and help translate them into solution options
• Help build documentation that supports SOX/audit readiness: process flows, control mapping, test evidence, and usage guidelines
• Assist with testing, UAT coordination, and rollout support for solutions developed during the engagement
• Present findings, progress, and recommendations to Controllership leadership at the close of your engagement

What Success Looks Like

• You deliver a scoped, working solution (or meaningfully advance one) within your ~3-month engagement — something the team can build on or put into production
• You reduce manual effort or cycle time in at least one targeted workflow, with clear before/after documentation
• Your work is auditable and control-safe
• Process owners and teammates feel equipped to sustain or extend what you built

What You Bring

• Currently pursuing a degree in Finance, Accounting, Computer Science, Data Science, Information Systems, or a related field
• Familiarity with financial accounting concepts (e.g., reconciliations, journal entries, close process, Order-to-Cash or Record-to-Report) and/or hands-on experience with data or AI tools — ideally both
• Comfortable working with structured data; experience with SQL, Python, or Excel is a plus
• Exposure to or genuine curiosity about AI tooling (e.g., Claude, ChatGPT, Copilot, Cursor) and how it can be applied to finance workflows
• Strong communicator who can translate between Finance stakeholders and technical teams
• Able to gather context quickly, work independently within a defined scope, and deliver within a fixed timeline

Bonus Points

• Hands-on experience with LLMs, prompt engineering, or AI workflow tools
• Exposure to ERP or financial close systems (NetSuite, SAP, D365, Oracle, or similar)
• Experience with business intelligence or automation tools (e.g., Power Query, Alteryx, Power Automate)
• Prior internship experience in finance, accounting, or a data/engineering role

Program Details

• Duration: ~3 months
• Engagement type: Project-based, scoped to a specific Controllership AI initiative
• Team: Controllership / Finance, reporting to the Director, Chief of Staff (Controllership)

Your Impact

As a Controllership AI & Automation Intern, you will support targeted AI, analytics, and automation initiatives that improve the speed, quality, and scalability of Controllership processes. You'll be embedded on a scoped workstream for approximately 3 months — partnering with Accounting, IT/Engineering, and other Finance stakeholders to deliver real, measurable results.

This is a hands-on builder role. You'll join meetings with process owners, help map current-state workflows and pain points, contribute to defining requirements, and use AI and automation tools to develop solutions. Depending on the initiative, you may work alongside IT/data teams, enable process owners to build solutions themselves, or get directly hands-on building them with us.

What You'll Do

Reports to: Director, NPI and AI Lead, Chief of Staff

• Support the identification and scoping of AI/automation opportunities within a defined Controllership process area (e.g., Accounting Operations, Revenue Accounting, Financial Reporting, Tax, or Internal Audit)
• Participate in stakeholder meetings to understand current-state workflows, pain points, and requirements — and help translate them into solution options
• Help build documentation that supports SOX/audit readiness: process flows, control mapping, test evidence, and usage guidelines
• Assist with testing, UAT coordination, and rollout support for solutions developed during the engagement
• Present findings, progress, and recommendations to Controllership leadership at the close of your engagement

What Success Looks Like

• You deliver a scoped, working solution (or meaningfully advance one) within your ~3-month engagement — something the team can build on or put into production
• You reduce manual effort or cycle time in at least one targeted workflow, with clear before/after documentation
• Your work is auditable and control-safe
• Process owners and teammates feel equipped to sustain or extend what you built

What You Bring

• Currently pursuing a degree in Finance, Accounting, Computer Science, Data Science, Information Systems, or a related field
• Familiarity with financial accounting concepts (e.g., reconciliations, journal entries, close process, Order-to-Cash or Record-to-Report) and/or hands-on experience with data or AI tools — ideally both
• Comfortable working with structured data; experience with SQL, Python, or Excel is a plus
• Exposure to or genuine curiosity about AI tooling (e.g., Claude, ChatGPT, Copilot, Cursor) and how it can be applied to finance workflows
• Strong communicator who can translate between Finance stakeholders and technical teams
• Able to gather context quickly, work independently within a defined scope, and deliver within a fixed timeline

Bonus Points

• Hands-on experience with LLMs, prompt engineering, or AI workflow tools
• Exposure to ERP or financial close systems (NetSuite, SAP, D365, Oracle, or similar)
• Experience with business intelligence or automation tools (e.g., Power Query, Alteryx, Power Automate)
• Prior internship experience in finance, accounting, or a data/engineering role

Program Details

• Duration: ~3 months
• Engagement type: Project-based, scoped to a specific Controllership AI initiative
• Team: Controllership / Finance, reporting to the Director, Chief of Staff (Controllership)

Role overview

The Corporate Strategy team is seeking a highly analytical, intellectually rigorous, and self-directed Principal Strategy Analyst to help shape the future direction of CarGurus.

This individual will operate as a senior individual contributor within Corporate Strategy, leading high-impact, enterprise-level strategic initiatives alongside Strategy team leadership and serving as a trusted thought partner to senior leadership. The Principal Strategy Analyst will work across functions to define complex business problems, develop structured recommendations, and translate strategic insights into actionable plans that drive measurable outcomes. This person is expected to be an operator and a strategist; someone that understands the implications of the work they drive at all levels.  

In addition to leading critical initiatives, this role serves as an internal strategy consultant - partnering with business leaders across the company to clarify priorities, evaluate trade-offs, and elevate the quality of strategic decision-making. 

This position reports into the Corporate Strategy function and works closely with executive leadership and cross-functional partners across the organization

What You’ll Do

Strategic Initiatives: Lead high-impact, enterprise-level problem solving

• Scope and lead complex strategic initiatives aligned to company-wide priorities with input from strategy team leadership
• Structure ambiguous business questions into clear hypotheses, analytical frameworks, and execution plans
• Develop rigorous business cases, financial models, and scenario analyses to inform investment and resource allocation decisions
• Synthesize insights into executive-ready materials that clearly articulate recommendations, risks, and trade-offs
• Drive initiatives beyond recommendation — partnering with stakeholders to translate strategy into implementation roadmaps

Thought Partnership & Internal Consulting

• Serve as a trusted thought partner to leaders across the organization
• Act as an internal strategy consultant, supporting business units in evaluating growth opportunities, operational trade-offs, and strategic direction
• Lead structured problem-solving sessions with cross-functional teams to align on priorities and unlock progress
• Pressure-test assumptions, challenge conventional thinking, and improve decision quality through analytical rigor and intellectual honesty
• Provide strategic guidance that balances long-term positioning with near-term execution realities

Competitive & Business Intelligence

• Develop a deep understanding of the automotive and marketplace landscape, including competitive dynamics and emerging trends
• Aggregate and synthesize insights from internal data, market research, and external sources
• Deliver clear, actionable insights that inform company strategy and market-level responses
• Support development of perspectives on new business opportunities, adjacencies, and potential investments

Company Strategy

• Partner with senior leadership to support annual and multi-year strategic planning processes
• Evaluate strategic priorities and ensure alignment between corporate resources and long-term objectives
• Contribute to leadership off-sites and key decision forums with structured analysis and clear recommendations
• Support evaluation of inorganic growth opportunities and major investment decisions as needed

Team Development & Analytical Leadership

• Raise the analytical and problem-solving bar across the Corporate Strategy team
• Mentor junior team members on structured thinking, modeling, and executive communication
• Develop reusable frameworks and best practices that improve team efficiency and impact
• Contribute to a collaborative, high-performance culture grounded in rigor, accountability, and trust

What You’ll Bring

• 5–7+ years of relevant professional experience, including strategy consulting, corporate strategy, investment analysis, or equivalent experience
• Remarkably high bias for action in all aspects of your work with a notably low ego 
• Demonstrated ability to independently lead complex, ambiguous strategic initiatives from framing through recommendation and implementation
• Strong business judgment and structured problem-solving capabilities
• Advanced analytical skills and proficiency in Microsoft Excel and PowerPoint
• Exceptional written and verbal communication skills, with the ability to influence senior stakeholders
• Experience working closely with executive leadership and influencing without direct authority
• Ability to manage multiple high-priority initiatives in a fast-paced, evolving environment

Preferred Qualifications

• Experience in marketplaces, technology, automotive, or related industries
• Exposure to M&A, partnerships, or corporate development
• MBA or equivalent advanced degree

Data is at the heart of every decision at Klaviyo. Our Analytics Engineering team sits within a hub-and-spoke model, partnering closely with Go-To-Market (GTM), Product, Engineering, and Business Intelligence teams to build scalable, trusted data systems. You’ll work at the intersection of business and engineering, owning core data models, enabling self-service analytics, and ensuring our data ecosystem is reliable, scalable, and compliant.

About the Role

We’re looking for a Senior Analytics Engineer to own end-to-end data pipelines and modeling across GTM (Sales) and Product domains. You’ll build and maintain the source of truth for operational and product data, enabling leadership, analysts, and product teams to answer complex questions with confidence. This role combines deep technical execution with high-impact business partnership, requiring you to translate ambiguous needs into scalable data products. You will operate as a trusted, embedded partner to stakeholders while leveraging the broader Data Engineering organization’s standards, tooling, and best practices. You’ll help build the foundation that powers everything from forecasting and compensation to product insights and experimentation. Please note that this is a hybrid role that requires 3 days/week in our Boston office. Fully remote candidates will not be considered at this time. 

How You’ll Make a Difference

• Own and deliver end-to-end data pipelines and models that power Sales and Product analytics
• Build curated, governed data marts that enable fast, reliable decision-making
• Design dimensional data models (dbt) for core entities such as accounts, pipeline, performance, and product usage
• Partner with Sales, Product, and Analytics teams to create holistic views of the customer and product lifecycle
• Raise the bar on data quality, testing, monitoring, and documentation
• Enable reverse ETL workflows to operationalize insights into business systems
• Act as a data ambassador across Product, Engineering, BI, and Legal, ensuring alignment on data contracts and governance
• Lead and mentor others through design reviews, best practices, and technical guidance
• Evolve internal tooling and infrastructure to improve developer and analyst productivity

What You’ll Do

• Data Modeling & Pipelines: Build and maintain production-grade dbt models in Snowflake
• Integrations & Ingestion: Own ingestion from systems like Salesforce, ERP, and product data sources
• Reverse ETL: Push high-value data models into downstream tools and workflows
• Data Quality & Governance: Implement testing frameworks, monitoring, and documentation to ensure trust and compliance
• Cross-Functional Partnership: Work closely with Sales Ops, Product Managers, Engineering, Finance, and GTM teams
• Repository Stewardship: Maintain dbt codebase, enforce best practices, and ensure scalability
• Tooling & Infrastructure: Contribute to Airflow, Terraform, AWS, and other platform tools as needed

Who You Are

• 5+ years of experience in analytics or data engineering in a modern data stack (Snowflake, BigQuery, or Redshift)
• Strong expertise in SQL and dbt, with a focus on building scalable, production-grade data models
• Proficiency in Python (or similar) for orchestration or tooling
• Experience owning end-to-end data workflows, from ingestion to business impact
• Ability to translate ambiguous business needs into structured data solutions
• Strong communication skills with the ability to partner with non-technical stakeholders
• Experience implementing data testing, monitoring, and governance frameworks
• Proven ability to lead cross-functional projects with minimal guidance

Nice to Have

• Experience with Sales Operations, compensation, or GTM analytics
• Familiarity with reverse ETL tools and workflows
• Experience with Airflow, Fivetran, Workato, or similar tools
• AWS experience (S3, EC2, Lambda) and infrastructure-as-code (Terraform)
• Exposure to experimentation frameworks or product analytics systems
• Experience with data privacy controls (masking, role-based access, compliance)

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Role overview

As a core member of the Data Systems Analysis team, the Associate Business Systems Analyst will support the design, implementation, and ongoing improvement of our data and analytics systems. This role acts as a bridge between business stakeholders and the technical capabilities of our modern data stack, with a growing focus on how we can responsibly apply AI to improve our work. The ideal candidate is eager to learn and explore the new technology in the industry and comfortable working under the guidance of senior analysts and managers to translate business needs into clear, actionable requirements. You will collaborate closely with cross-functional partners across Data, Engineering, and Business teams to document processes, support solution design, and help ensure our systems effectively enable day-to-day operations and strategic decision making.

What you'll do

• Requirements design & analysis: Support requirements gathering sessions with business stakeholders, capturing notes and translating them into clear user stories under the guidance of senior team members. Partner with senior analysts and Technical Product Managers to refine requirements into implementable work items for the engineering team.
• Documentation: Help document current-state and future-state business processes, identifying gaps and pain points. Maintain and update document templates, runbooks, and training materials so that documentation stays current as systems and processes evolve.
• System & data analysis: Assist in analyzing data and system behavior to understand how existing solutions support business processes. Help identify opportunities for process or system improvements, documenting findings and recommendations for review by senior team members.
• Implementation support: Collaborating with engineers, data teams, and product partners to deliver changes that meet documented requirements. Assist with coordination between business stakeholders and technical teams to clarify questions and resolve minor issues.
• AI exploration & enablement: Explore and evaluate AI (ideally build as well) tools and techniques that can improve operational processes, efficiency tracking, and coding workflows for data teams. Prototype small, low-risk AI-assisted workflows and document learnings, limitations, and best practices for the team. Partner with senior analysts and engineers to translate AI opportunities into concrete requirements or proof-of-concept implementations.
• User Acceptance Testing: Help define and document UAT scenarios and test cases based on requirements and business workflows. Coordinate with business stakeholders to schedule UAT, track feedback, and record defects and retest results. 
• Continuous improvement: Support process and documentation clean-up efforts, including template standardization, version control, and knowledge management. Stay up to date on industry concepts and best practices in business analysis and data/analytics and bring relevant ideas back to the team.

What you'll bring

• 1+ year of experience as a Business Analyst, Business Systems Analyst, Data Analyst, or similar role, or relevant internship/project experience.
• A self-starter mindset with strong curiosity and willingness to learn from feedback and mentorship.
• Analytical problem-solving skills and comfort breaking larger problems into smaller, structured questions.
• Ability to navigate ambiguity by asking clarifying questions, documenting assumptions, and escalating risks appropriately.
• Strong written and verbal communication skills, including:
  • Clear meeting notes and action items
  • Well-structured requirements and documentation
  • Ability to explain findings in straightforward business language
• A collaborative working style, with the ability to partner across business, data, and engineering teams and incorporate input from multiple stakeholders.
• Experience or exposure to tools like Snowflake, dbt, and BI platforms
• Experience using related AI tools such as Cursor, Claude, Glean. 
• Strong SQL skills.
• Comfort working in an Agile / scrum environment (e.g., user stories, backlogs, sprints) or a strong desire to learn.
• Business outcome oriented.

Role overview

Car shopping is complicated. At CarGurus, we use data and technology to make it simple, giving people the tools they need to confidently find, buy, finance, or sell a car. The best part? Our work makes a real impact. We’re the most-visited car-shopping site in the US and we are growing fast in our international markets. Ready to come along for the ride? 

The Data Engineering team at CarGurus is looking for a Senior Manager of Analytics Engineering to enable data-driven decisions across the company. You will be responsible for delivering scalable and highly performant data models that power reporting solutions for stakeholders in Product Management, Marketing, Finance, and other key areas of the business. We are looking for a candidate who can work collaboratively with our partners and customers, who can also actively contribute to our corporate analytics strategy as we continue to grow and evolve our core business.  

What you'll do

• Lead a team of analytics engineers who will support a diverse set of stakeholders across our business and engineering orgs.
• Provide tactical leadership to your team to build production quality data transformations and maintainable data architectures.  
• Partner on a vision for CarGurus’ business intelligence platform, identifying gaps in our people and technology strategies.
• Build strong partnerships across the company and continuously integrate feedback into the team’s strategy and operations.
• Collaborate with Product Management to prioritize initiatives, manage the execution of projects, and implement agile software development practices as needed.
• Work in conjunction with the Data Governance team to ensure high data quality standards are understood and met.

What you'll bring

• You are an experienced leader with a track record of managing and developing high-performing teams. You excel at coaching, mentoring, and creating growth opportunities for your team members, helping them achieve their professional goals.
• You have a deep understanding of data analytics principles and experience overseeing complex data landscapes, guiding technical direction, and maintaining high standards for data quality and reliability.
• You possess strong communication and collaboration skills, allowing you to work effectively with cross-functional teams, including Product, Analytics, and other Engineering leaders, to drive alignment and achieve business goals.
• You’ve worked with distributed analytics teams.
• 8+ years of experience in product/business analytics, data engineering, analytics engineering, or related field
• 3+ years of hands-on people management experience
• Experience working with a cloud data warehouse (e.g., Snowflake, Databricks, Google BigQuery) and a modern business intelligence platform (e.g., Tableau, Looker, Sigma)
• Expert level SQL proficiency and deep familiarity with dimensional modeling best practices
• Ability to build a multi-sprint plan for a complex data modeling project from loosely defined business requirements 

Summary

Klaviyo is looking for a Lead Data Science Analyst to join our GTM Strategic Analytics & Insights team. In this role, you will serve as a senior individual contributor at the intersection of advanced data science, AI/LLM-driven innovation, and Go-to-Market strategy. You will build and maintain sophisticated predictive and inferential models, conduct deep-dive statistical analyses, and develop AI-first solutions that unlock meaningful insights across the pre and post Sales Customer lifecycle.

The successful candidate will partner closely with GTM leadership to shape how Klaviyo understands, measures, and accelerates new business and customer outcomes; from pre-sales motion through onboarding, expansion and retention. You will operate with a strong bias toward AI-augmented workflows and bring a modern, LLM-aware approach to every analytical challenge.

The ideal candidate is intellectually curious, strategically minded, and energized by hard problems. They bring deep technical fluency across the full data science stack, a demonstrated ability to influence senior stakeholders through clear storytelling, and a genuine commitment to building AI-first solutions in a fast-moving SaaS environment.

How You Will Make a Difference

• Build and maintain advanced models: Build and maintain advanced predictive and time-series models: design, train, deploy, and monitor models across use cases such as demand forecasting, capacity planning, deal scoring, and customer propensity; incorporate seasonality, exogenous drivers, and backtesting frameworks to ensure accuracy and robustness
• Apply statistical rigor: lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and other statistical methods to surface actionable signals from complex, large-scale datasets
• Develop AI/LLM-powered solutions: architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques to automate insight generation, surface qualitative signals at scale, and augment team capabilities
• Own forecasting and decision systems: Own end-to-end forecasting and operational decision systems, including time-series demand forecasting, capacity planning models (e.g., Erlang-based staffing), and production pipelines that power GTM and Support planning workflows; ensure reliability, scalability, and business adoption of outputs
• Drive customer intelligence: develop and maintain prospect, deal health, archetype, and capacity models that inform GTM strategy, planning, and growth initiatives
• Define the measurement framework: identify, create, and steward benchmarks and metrics that meaningfully represent growth, engagement, and success outcomes
• Communicate with impact: distill complex analyses into clear, cohesive narratives with executive-ready materials that drive decisions at the senior leadership level
• Collaborate cross-functionally: partner with Systems & Engineering, GTM Operations, Rev Ops & Planning, Product, Business Intelligence, Data Science, and Finance to ensure analytical solutions are integrated, scalable, and trusted

Who You Are

• 6+ years of professional experience in an advanced analytics or data science role; SaaS experience strongly preferred
• Deep expertise in statistical inference and modeling, including supervised techniques (regression, classification, gradient boosting, decision trees) and unsupervised techniques (clustering, PCA, anomaly detection, topic modeling)
• Hands-on experience designing and deploying AI/LLM-based solutions, including prompt engineering, fine-tuning, RAG pipelines, or LLM-integrated analytics workflows; you approach new problems with an AI-first mindset
• Familiarity and experience with distributed coding projects, including using Git for code management.
• Advanced proficiency in Python (pandas, numpy, scikit-learn, xgboost, statsmodels, and LLM/AI libraries such as LangChain, OpenAI SDK, or HuggingFace) and SQL; working knowledge of DBT
• Own and scale end-to-end data pipelines, including orchestration with Airflow and transformation/modeling with dbt; design reliable, testable, and modular workflows that support production-grade analytics and machine learning use cases, with a focus on performance, data quality, and maintainability.
• Develop and iterate on time-series forecasting frameworks using approaches such as ARIMA/SARIMAX, ETS, MSTL, and machine learning-based models; evaluate performance through rigorous backtesting and continuously improve model accuracy and business applicability
• Experience building data visualizations and dashboards across platforms such as Tableau, ThoughtSpot, matplotlib, seaborn, plotly, or similar tooling.
• Strong project ownership: experienced operating to a roadmap, managing milestones and deliverables, and delivering high-quality work product in a timely manner
• Comfortable with autonomy and ambiguity, with a proactive orientation toward identifying and solving problems before they're fully defined
• Excellent written and verbal communication skills, including experience preparing materials for executive audiences

Summary

Klaviyo is looking for a Lead Data Science Analyst to join our GTM Strategic Analytics & Insights team. In this role, you will serve as a senior individual contributor at the intersection of advanced data science, AI/LLM-driven innovation, and Go-to-Market strategy. You will build and maintain sophisticated predictive and inferential models, conduct deep-dive statistical analyses, and develop AI-first solutions that unlock meaningful insights across the pre and post Sales Customer lifecycle.

The successful candidate will partner closely with GTM leadership to shape how Klaviyo understands, measures, and accelerates new business and customer outcomes; from pre-sales motion through onboarding, expansion and retention. You will operate with a strong bias toward AI-augmented workflows and bring a modern, LLM-aware approach to every analytical challenge.

The ideal candidate is intellectually curious, strategically minded, and energized by hard problems. They bring deep technical fluency across the full data science stack, a demonstrated ability to influence senior stakeholders through clear storytelling, and a genuine commitment to building AI-first solutions in a fast-moving SaaS environment.

How You Will Make a Difference

• Build and maintain advanced models: Build and maintain advanced predictive and time-series models: design, train, deploy, and monitor models across use cases such as demand forecasting, capacity planning, deal scoring, and customer propensity; incorporate seasonality, exogenous drivers, and backtesting frameworks to ensure accuracy and robustness
• Apply statistical rigor: lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and other statistical methods to surface actionable signals from complex, large-scale datasets
• Develop AI/LLM-powered solutions: architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques to automate insight generation, surface qualitative signals at scale, and augment team capabilities
• Own forecasting and decision systems: Own end-to-end forecasting and operational decision systems, including time-series demand forecasting, capacity planning models (e.g., Erlang-based staffing), and production pipelines that power GTM and Support planning workflows; ensure reliability, scalability, and business adoption of outputs
• Drive customer intelligence: develop and maintain prospect, deal health, archetype, and capacity models that inform GTM strategy, planning, and growth initiatives
• Define the measurement framework: identify, create, and steward benchmarks and metrics that meaningfully represent growth, engagement, and success outcomes
• Communicate with impact: distill complex analyses into clear, cohesive narratives with executive-ready materials that drive decisions at the senior leadership level
• Collaborate cross-functionally: partner with Systems & Engineering, GTM Operations, Rev Ops & Planning, Product, Business Intelligence, Data Science, and Finance to ensure analytical solutions are integrated, scalable, and trusted

Who You Are

• 6+ years of professional experience in an advanced analytics or data science role; SaaS experience strongly preferred
• Deep expertise in statistical inference and modeling, including supervised techniques (regression, classification, gradient boosting, decision trees) and unsupervised techniques (clustering, PCA, anomaly detection, topic modeling)
• Hands-on experience designing and deploying AI/LLM-based solutions, including prompt engineering, fine-tuning, RAG pipelines, or LLM-integrated analytics workflows; you approach new problems with an AI-first mindset
• Familiarity and experience with distributed coding projects, including using Git for code management.
• Advanced proficiency in Python (pandas, numpy, scikit-learn, xgboost, statsmodels, and LLM/AI libraries such as LangChain, OpenAI SDK, or HuggingFace) and SQL; working knowledge of DBT
• Own and scale end-to-end data pipelines, including orchestration with Airflow and transformation/modeling with dbt; design reliable, testable, and modular workflows that support production-grade analytics and machine learning use cases, with a focus on performance, data quality, and maintainability.
• Develop and iterate on time-series forecasting frameworks using approaches such as ARIMA/SARIMAX, ETS, MSTL, and machine learning-based models; evaluate performance through rigorous backtesting and continuously improve model accuracy and business applicability
• Experience building data visualizations and dashboards across platforms such as Tableau, ThoughtSpot, matplotlib, seaborn, plotly, or similar tooling.
• Strong project ownership: experienced operating to a roadmap, managing milestones and deliverables, and delivering high-quality work product in a timely manner
• Comfortable with autonomy and ambiguity, with a proactive orientation toward identifying and solving problems before they're fully defined
• Excellent written and verbal communication skills, including experience preparing materials for executive audiences

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

About Toast

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

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

Role Overview

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

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

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

A day in the life (Responsibilities) 

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

What you'll need to thrive (Requirements)

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

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

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

AI at Toast

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

Our Total Rewards Philosophy

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

The InterSystems Customer Success Management team's mission is to ensure our End-User Customers (in Health Care, Public, and Financial Services segments) maximize adoption of our software solutions, gain expected and measurable business value, and achieve high on-going satisfaction with our partnership. Customer Success Managers (CSMs) play a critical leadership and execution role partnering with customers and teams in sales, sales engineering, client services and support, professional services, product, and marketing, to fulfill this mission. 

Customer Success Manager (CSM) Key Responsibilities: 

• Drive positive and increased adoption across an assigned portfolio of End-User customers (8-20 depending on revenue & complexity) to ensure they achieve maximum value from InterSystems solutions.  
• Understand and track customer’s business objectives, priorities, and value KPIs to ensure adoption activities and our partnership are aligned to deliver against goals. 
• Lead proactive adoption activities and deliverables such as MSPs, Value Assurance Check-ins, QBRs, and involve sales, sales engineering, client services & support, professional services, product and others.  
• Build and strengthen customer executive and operating team relationships with key stakeholders (I.e., CIO/CTO, Program Sponsor, Leads for IT, Interoperability, Analytics and Clinical outcomes).
• Lead and facilitate post-go-live customer cadence calls following strong program management practices, ensuring agenda are aligned to drive progress and resolve issues and the right InterSystems experts are involved.
• Act as the program manager on major customer issues, requirements, and/or expectation gaps that require strong alignment and communication across multiple departments (such as customer support, product management, development, sales engineering, sales, training/education, etc.) to deliver successful outcomes.
• Monitor customer health data/KPIs to anticipate major risks/opportunities, mobilize and drive resources required to act based on the CSMs assessment.
• Ensure customers are aware, educated and capitalizing on contracted product capabilities, upcoming fixes/patches, security updates and other releases, leveraging InterSystems product experts in sales engineering and product management.
• Be viewed as a “trusted advisor” by consistently providing data-backed recommendations to improve adoption and bringing in the right experts.
• Provide “voice of the customer” feedback to Product Management and Services on improvements and fixes to increase adoption, value, performance, and stability.
• Identify customer use case and solution expansion opportunities as they emerge, communicate them to the responsible sales executive and sales engineer to act on.
• Represent and promote core InterSystems values; be respectful of client relationships, ensure an excellent relationship based on trust, adaptability, and integrity.
• Drive Customer Success initiatives, such as playbook development, Voice of the Customer-Net Promoter Score (NPS) survey and other tools. 

Required Qualifications: 

• 5 + years’ experience in customer facing roles in customer success, professional services, or account management focused on software, SaaS or managed services in the Healthcare industry. 
• 3+ years' experience in the Healthcare delivery or Healthcare insurance operations
• Demonstrated experience managing and nurturing a portfolio of complex customers contributing $5M+ in ARR, and delivering successful KPIs such as NPS, NRR, Customer Success Stories and References.  
• Strong communication skills with demonstrated ability to interact with and present to cross functional senior management stakeholders at customers and internally. 
• Strong project management, workflow, and data analytics skills. 
• Strong proficiency working with teams in professional services, product management, development and technical customer support  
• Understanding SaaS/Cloud technologies, related benefits, and success requirements. 

Preferred Qualifications: 

• Extensive prior work experience in healthcare and with healthcare technology at a software, or implementation consulting company, or at a Healthcare provider or Healthcare insurance plan company. 
• Strong, practical knowledge of HL7, CCD, FHIR and other existing healthcare data interchange and interoperability standards.  
• Prior work experience leading complex technical healthcare implementation programs to successful go-lives and managing subsequent transitions to operations. 
• Experience with data analysis and BI tools such as Power BI, Tableau, Qlik, SAS, R, etc. 
• Strong familiarity and experience building customer account plans with sales and executing customer success management milestones such as Mutual Success Plans and QBRs. 

Education: 
 
Bachelor’s degree or higher in a technical, business management, or healthcare-related field. Advanced degree preferred

Job Title: Senior Enterprise Account Executive

Location: MA, CT, NH,  but Greater Boston Area is preferred. 

About the Role: We are seeking a driven, high-energy individual who is passionate about new business acquisition and enterprise sales. As a Senior Enterprise Account Executive, you will be responsible for executing a strategic sales plan within your assigned territory, focusing on revenue growth and new customer acquisition. This role offers the opportunity to work closely with cross-functional teams, including solution engineering (pre-sales), marketing, and professional services, to ensure customer satisfaction and long-term success.

Key Responsibilities:

• Develop and execute a strategic territory plan targeting key organizations and applicable use cases to build a robust pipeline and achieve quarterly and annual sales objectives.
• Become an expert in our product offerings and industry solutions, delivering compelling demos, presentations, and proposals that clearly articulate business value.
• Leverage deep knowledge of the market to position our solutions as the best fit for customer needs, highlighting the advantages over competing technologies and approaches.
• Lead complex sales cycles with a solution-based approach, employing strategic selling strategies and tactics, including the Land & Expand model to grow accounts.
• Manage the full sales process from prospecting to closing, consistently securing new logos and expanding within existing accounts.
• Provide guidance and mentorship to Business Development Representatives (BDRs) and Field Marketing resources to align on target accounts and support pipeline development.
• Maintain accurate and up-to-date information within the CRM system, ensuring data integrity and adhering to forecasting guidelines.
• Develop strong partnerships with public cloud providers (AWS, Google, Microsoft Azure) and leverage these relationships to drive growth opportunities.

What You Bring to the Role:

• 7+ years of proven success in enterprise software sales with a consistent track record of exceeding targets.
• Demonstrated experience managing complex sales processes within enterprise markets such as Data Warehousing, Business Intelligence, Data Science, AI/ML, or related fields.
• Proven ability to independently develop and close new client relationships while effectively managing long-term business engagements.
• Deep understanding of commercial open-source business models, including selling on-premise and cloud & SaaS hybrid solutions.
• Ability to craft and execute sales strategies tailored to specific industries, leveraging partner and Go-to-Market knowledge.
• Strong presentation, communication, and organizational skills with a knack for building strong business champions.
• Familiarity with sales methodologies such as MEDDIC, SPIN, or Challenger Sales, and experience working in a fast-paced, competitive market.
• Experience collaborating with cross-functional teams to deliver on customer expectations, including Pre-Sales, Marketing, Customer Success, and Field Engineering resources.
• Proven ability to build and nurture relationships with key decision-makers, including CTOs, IT leaders, and technical end users, while collaborating with Solution Architects, Professional Services, and Channel Partners.

Preferred Qualifications:

• Experience selling complex technical solutions into enterprise markets, with a focus on subscription-based models and cloud deployments.
• Knowledge of graph technology, data management tools, or other advanced data-driven technologies.
• A Bachelor’s degree in a relevant field and proficiency in standard corporate productivity tools (Google Docs, Salesforce, MS Office).

Why Join Us: Be part of a high-growth team where innovation, collaboration, and success are at the core. You’ll gain access to cutting-edge technology, expert training, and a sales culture that prioritizes your growth and input. If you’re driven to achieve, we want you on our team!

Position Summary

Activate is looking for a Managing Director to mentor a community of Activate Fellows in the Boston area by serving as their primary entrepreneurial advisor. In this role, you will drive key fellowship programmatic efforts, lead the selection of new fellows each year, and connect your community of fellows with resources, support, and each other to enable their entrepreneurial success. This role will be responsible for representing the Boston fellow community to the larger Activate Global team and to external stakeholders across academia, industry, finance and government. The Managing Director will report to Activate’s US Fellowship Leader. Join us as we work to create the world’s leading platform supporting the earlier stages of science entrepreneurship!

Primary Responsibilities

• Serve as Managing Director and primary advisor for a cross-disciplinary community of entrepreneurial fellows.
• Drive successful outcomes for each individual fellow, providing mentorship, support, network connectivity, and resources. 
• Oversee core elements of the fellowship, including review and selection of fellows, and bi-weekly in-person and virtual educational programming.
• Build and maintain relationships with universities, research institutions, and other talent pipelines to attract strong applicants to future fellowship cohorts.
• Lead ecosystem engagement efforts for the Boston region, including strengthening relationships with key innovation partners and supporting visibility for Activate and its fellows.
• Build collaborative, cross-functional relationships with staff and partners to ensure the program operates effectively and efficiently.
• Represent Activate at an executive level with public- and private-sector stakeholders from across the technology innovation ecosystem. 
• Engage with current and potential government and philanthropic sponsors.
• Partner with Boston’s local Program Manager to provide best-in-class support to the fellows.

The Ideal Candidate…

• Has an advanced degree in the physical or biological sciences and a minimum of 10 years experience in research, development, management, and commercialization of science-driven technologies.
• Has entrepreneurial experience as the leader of a new company or business unit.
• Has led high-performance technical teams and has demonstrated a commitment to nurturing talent through mentorship.
• Has a strong network and reputation among stakeholders from across the innovation ecosystem (academia, industry, finance, and government) and in the Boston area.
• Strongly exhibits objectivity, empathy, and inclusiveness in leadership.
• Is an excellent communicator and collaborator.
• Can manage a complex, dynamic portfolio of projects and stakeholders.
• Believes that groundbreaking science has the power to change the world—but only if it reaches the people and places that need it most. 
• Supportive of a broad range of finance and business models for advancing hard-tech to market.
• Would be excited to wake up each day asking the question, “what can I do to make our fellows successful?”

About the Role

This is a full-time position with a competitive base of $215,000 with a generous benefits package that includes professional development, $2,000 in annual wellness funds, flexible paid time off, healthcare coverage for employees and dependents, with 90–100% of premiums covered, and the opportunity to join a retirement plan with a 3% match beginning after 3 months at Activate. 

This position is based in Cambridge, MA. Because we operate an in-person community, our team typically works from the office at least part of each day.

Join us as a Senior Analyst in our thriving Marketing Analytics team, where you'll unleash the power of data to fuel innovation. Collaboration is at the heart of what we do, bridging Marketing, Analytics, Data Engineering, Customer Service, and Product teams. You'll be the trusted partner of a skilled peer group, playing a pivotal role in surmounting complex analytical challenges that fortify our go-to-market strategies. This role isn't just about data; it's about driving innovation and making a tangible impact. 

Here, you'll shape our customer strategy using cutting-edge marketing tech. Data is our compass, guiding every decision, especially within our marketing endeavors. If you're passionate about pioneering retention strategies, amplifying performance measurement, establishing impactful reporting, conducting A/B tests, and quantifying the influence of our marketing initiatives on customer order activity, we're excited to connect with you. Your journey to shaping the future starts here!

What You'll Do: 

• Collaborate closely with senior leaders on exciting business problems, actively shaping the team's strategic direction and focus
• Elevate customer personas and segmentation for personalized marketing, deepening our understanding of target audiences
• Analyze retention and ezRewards Loyalty Program performance, identifying growth opportunities and implementing action plans with cross-functional teams
• Develop insights through in-depth analysis, models, and reports, uncovering new marketing growth opportunities and informing business performance strategies
• Lead the evolution of our Marketing team's experimentation process and documentation, fostering a structured framework for innovation
• Enhance data visualization tools for informed decision-making and empower Marketing teammates
• Utilize data-driven analyses, A/B tests, and statistical models to uncover customer behavior insights and optimize marketing strategies
• Share marketing domain expertise, acting as a thought leader and mentor to peers for collaborative growth

What You Have: 

• 3+ years of relevant quantitative or technical analysis experience, preferably in marketing or e-commerce
• Strong SQL skills for data manipulation and analysis, coupled with experience in statistical modeling (R or Python preferred)
• Proficiency in marketing attribution methods, return on ad spend, and experimental test design (A/B testing)
• Familiarity with diverse marketing tactics including optimizing customer retention through strategies such as Email, SMS, Push, SEO/SEM, Direct Mail, and more
• Knowledge of modern data exploration and visualization tools like Snowflake, Tableau, Looker, Google Data Studio, or PowerBI, and proficiency in Google Analytics or similar digital analytics platforms
• Effective communication skills to convey data insights across different audiences
• Independent worker with cross-functional collaboration ability and adeptness in presenting insights to stakeholders
• Strong organizational skills, time management, and multitasking capability
• Ability to travel up to 5 days per quarter for Together Weeks, team gatherings and other events, when applicable.

The national total target cash compensation range for this position, including base salary and bonus target, is $119,670-$145,743 annually.*

*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).

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

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

About this position:

As a Senior Security Engineer at Later, you will play a critical role in strengthening and scaling the security foundations that power our platform. This role blends deep security expertise with hands-on engineering, with a particular focus on identity and access management, authentication systems, and secure-by-design development practices.

You’ll partner closely with Engineering, Infrastructure, and Product teams to embed security into our CI/CD pipelines, internal platforms, and customer-facing systems—enabling teams to move quickly while keeping our systems, data, and users safe. This is a high-impact individual contributor role for someone who thinks like a defender, builds like a software engineer, and leads through influence.

What you'll be doing:

Strategy

• Assess and continuously improve Later’s security posture across applications, infrastructure, and development workflows
• Define and implement scalable security standards, guardrails, and best practices that support compliance through automated and auditable solutions
• Partner with Engineering and Product leadership to align security priorities with business objectives and delivery timelines
• emerging risks and proactively design systems and processes that reduce long-term exposure

Technical/ Execution

• Own identity and access management across Later’s platform, including authentication, authorization, and secure machine-to-machine (M2M) processes
• Design, implement, and maintain secure authentication systems for both internal tools and customer-facing experiences
• Harden login systems, establish consistent authentication patterns across services, and ensure secure integration between tools
• Build and maintain internal security tooling to support secure development, operational visibility, and compliance workflows
• Embed security controls into CI/CD pipelines, including SAST, DAST, SCA, container scanning, secret management, and secure build/deploy practices
• Partner with engineering teams to identify vulnerabilities, clearly communicate risk and impact, and drive effective remediation

Team / Collaboration

• Provide pragmatic, solution-oriented security guidance during system design and architecture reviews
• Collaborate cross-functionally to embed security into development workflows without slowing delivery
• Translate complex security concepts into clear, actionable recommendations for both technical and non-technical stakeholders
• Act as a trusted partner to engineering teams, balancing risk mitigation with business enablement

Leadership

• Lead by influence—raising the security bar through standards, tooling, and mentorship
• Set a high standard for secure engineering practices and help others level up their security mindset
• Model accountability, ownership, and transparency in security decisions

Research/Best Practices

• Stay current on application security, cloud security, and identity best practices
• Apply industry frameworks (e.g., OWASP, NIST, CIS Controls) pragmatically within production environments
• Continuously evaluate and improve identity architecture and security automation to scale with the business

Nice to have:

• Experience designing or migrating identity architecture at scale
• Experience building internal developer security tooling
• Experience working in a high-growth technology environment

What success looks like:

• Identity and access management is secure, scalable, and consistently implemented across the platform
• Security controls are embedded into CI/CD pipelines, reducing manual effort and improving detection and prevention
• Engineering teams proactively consider security in their designs and view security as an enabler—not a blocker
• Vulnerabilities are identified early, clearly prioritized, and remediated efficiently
• Compliance frameworks (e.g., SOC 2, ISO 27001) are supported through automation and well-defined processes
• Later’s overall security posture measurably improves while maintaining speed of product delivery

What you bring:

• 5–7+ years of experience as a Security Engineer or Software Engineer with a strong security focus
• Proven experience building and operating production-grade software, systems, or internal tooling
• Strong background in application security, infrastructure security, and secure CI/CD practices
• Hands-on experience with identity and access management, including authentication systems, authorization frameworks, and machine-to-machine security patterns
• Experience applying security frameworks such as OWASP, NIST, or CIS Controls in real-world production environments
• Familiarity with cloud security tooling (AWS Security Hub, Azure Security Center, or GCP Security Command Center), SIEM/SOAR tools, and Infrastructure-as-Code security scanning (Terraform, CloudFormation)
• Experience supporting compliance frameworks such as SOC 2 and ISO 27001
• Familiarity with modern backend systems (including C#) and cloud-native architectures
• Demonstrated ability to collaborate cross-functionally and influence engineering teams to improve security outcomes
• Strong communication skills with the ability to translate complex security concepts into clear, actionable guidance

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 - 175,000 

 #LI-Hybrid

About this position:

We’re looking for a Senior Sales Revenue Analyst to power the growth engine behind our enterprise sales organization. In a primarily sales-led enterprise motion, revenue predictability depends on precision — in pipeline coverage, rep ramp productivity, quota capacity, and forecasting accuracy.

This role ensures our revenue leaders operate with clarity and confidence. You’ll partner directly with our CRO, CCO, VP of Revenue Operations, and Sales Leadership to model team productivity, evaluate headcount ROI, and uncover structural opportunities to improve performance. Your insights will shape hiring plans, territory design, ramp expectations, and enterprise go-to-market strategy.

This is a high-visibility individual contributor role for someone who wants to influence strategy — not just report on it.

What you'll be doing:

Strategy

• Translate enterprise revenue targets into bottom-up capacity and productivity models that inform hiring and investment decisions
• Evaluate ramp curves, quota attainment distribution, and tenure mix to identify structural performance opportunities
•  Influence headcount planning, territory design, and quota capacity through data-backed modeling
• Identify long-term revenue risks and opportunities by connecting pipeline health, coverage ratios, and deal velocity trends

Technical/ Execution

• Own enterprise revenue performance reporting, executive dashboards, and forecasting models
•  Improve forecast confidence by integrating ramp timing, coverage ratios, and conversion metrics into reporting frameworks
• Analyze pipeline coverage health across segments and territories; proactively flag structural funnel risks
• Support QBRs, annual planning, and board-level revenue discussions with executive-ready insights
•  Continuously refine SQL queries, Salesforce reporting, and BI dashboards to increase decision speed and accuracy

Team / Collaboration

• Partner closely with CRO, CCO, VP of Revenue Operations, and Sales Leadership as a trusted analytical advisor
• Collaborate with RevOps and Enablement to identify productivity gaps and recommend data-informed improvements
• Translate complex revenue data into clear narratives that influence senior stakeholders
•  Build strong cross-functional relationships across Sales, Finance, and Marketing to ensure alignment on revenue strategy

Research/Best Practices

• Continuously evolve revenue modeling frameworks to reflect changes in sales motion and market conditions
• Benchmark forecasting methodologies and ramp expectations against industry best practices
• Identify and implement improvements to data hygiene, opportunity stage definitions, and reporting standards
•  Bring a test-and-learn mindset to forecasting and capacity planning models

What success looks like:

Within 90 Days
● Fully own enterprise revenue performance reporting and forecasting dashboards
● Establish trust with Sales Leadership through clarity, accuracy, and responsiveness
● Deliver a clear view of pipeline coverage health and ramp productivity trends

Within 6 Months
● Influence at least one hiring, territory, or quota decision through data-driven modeling
● Improve forecast confidence by integrating capacity and ramp analysis into executive reporting
● Proactively identify structural funnel risks before they materially impact results

Within 12 Months
● Become the go-to analytical partner for enterprise revenue leadership
● Drive measurable improvements in forecasting visibility and productivity insight
● Enable leadership to make faster, smarter decisions about team growth and investment

What you bring:

• 4–6+ years of experience in Revenue Analytics, Sales Analytics, or Revenue Operations within a sales-led enterprise motion
• Experience modeling rep ramp, pipeline capacity, quota attainment distribution, and productivity metrics
• Demonstrated track record of influencing strategic decisions through executive-ready insights and data storytelling
• Strong understanding of enterprise sales cycles (multi-stakeholder, longer deal cycles, complex buying committees)
• Advanced SQL skills and deep familiarity with Salesforce opportunity data models
• Experience with BI tools such as Domo, Tableau, Looker, or similar platforms
• Advanced Excel or Google Sheets modeling skills (ramp curves, cohort analysis, sensitivity modeling)
• Strong written communication skills with the ability to translate complex analysis into clear narratives
• Bachelor’s degree in a quantitative field such as Finance, Economics, Mathematics, Engineering, or similar
• Nice to have: familiarity with MEDDPICC or enterprise qualification frameworks
• Nice to have: experience supporting board-level revenue reporting
• Nice to have: background in influencer marketing, creator economy, or digital marketing technology

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 115,000 - 130,000 USD 

#LI-Hybrid  

Marketing Analytics Manager– Acrisure Awareness and Growth Marketing Team

Boston, MA (Hybrid: Four Days in Office)

Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position. 

Why Choose Acrisure Innovation?

Acrisure Innovation is a fast paced, AI-driven team building innovative software to disrupt the $6T+ insurance industry.  Our mission is to help the world share its risk more intelligently to power a more vibrant economy. To do this, we are transforming insurance distribution and underwriting into a science.

At the core of our operating model is our technology: we’re building a digital marketplace for risk and applying it at the center of Acrisure, a privately held company recognized as one of the world's top 10 insurance brokerages and the fastest growing insurance brokerage globally. By leveraging technology to push the boundaries of understanding and transferring risk, we are systematically converting data into predictions, insights, and choices, and we believe we can remove the constraints associated with scale, scope, and learning that have existed in the insurance industry for centuries.

Our culture is strong. We are a collaborative company of entrepreneurial, innovative, and talented people who believe in our future. We outthink and out work the competition. We look outside our walls and are energized by our fast-paced trajectory.

Our vision for the future is clear. We have limitless potential to achieve unprecedented success in the insurance industry. To achieve our opportunity, a best-in-class Team must support us.

This is an exciting opportunity to join this growing team and immediately make an impact to the overall success of the company. If you are interested in collaborating with good people who celebrate entrepreneurialism and work with commonality of purpose, Acrisure is the place for you.

The Role:

As the Marketing Analytics Manager, you will be responsible for building upon a best-in-class marketing analytics competency and owning the analytics roadmap for Acrisure’s marketing team. This role requires a unique blend of strategic vision and technical expertise to delve deeply into data insights. Serving as an individual contributor, you will develop models to optimize our return on investment and collaborate closely with the marketing team on test designs and analyses with the primary goal of increasing brand awareness. Additionally, you will be tasked with leading the stewardship of marketing data hygiene and developing impactful dashboards and actionable insights to support our marketing efforts. Your contributions will be instrumental in delivering data visualizations and critical insights that inform strategic marketing investment decisions, ultimately driving our company's growth.

Responsibilities:

• Partner closely with marketing leadership to define objectives and key performance indicators (KPIs) across the entire marketing funnel, spanning from brand awareness to conversion.
• Work with the marketing team on website A/B testing with the goal of increasing time on site and lowering bounce rate.
• Partner with other analytics teams within the organization to drive a single source of truth for KPIs while progressing the data quality forward with a focus on data democratization.
• Partner closely with the data engineering team to manage data collection, transformation, and storage practices.
• Proactively propose innovative approaches for leveraging marketing analytics to drive business outcomes, balancing immediate needs with long-term strategic objectives.
• Evaluate new opportunities, synthesize and translate findings, develop go-forward plans, and develop the tools to guide and monitor execution.
• Lead the creation of compelling data visualizations and interactive dashboards that effectively communicate the narrative of our marketing initiatives.
• Optimize reporting processes and implement automated alerts to swiftly identify and address potential issues and opportunities.

Skills and Qualifications:

• Bachelor's degree in a quantitative discipline, such as Mathematics, Economics, Computer Science, Statistics, or Engineering; advanced degree is a plus.
• 8+ years of experience in business analytics with 4+ years of analytics experience across media buying teams, preferably in a fast-paced and high-growth
• Experience defining a clear and innovative marketing analytics strategy with a robust roadmap and delivering against it.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis.
• Strong expertise in data manipulation and analysis using SQL (Python and R experience are a plus); adept at constructing and optimizing advanced queries for complex data sets (BigQuery experience a plus).
• Technical expertise with respect to mining and modeling data with the ability to create views and tables or schedule queries for data democratization.
• Strong knowledge of Tableau or similar data visualization tools.
• Experience with media platforms such as Google Analytics, Heap, Facebook Ads Manager, Google Ads, etc.
• Experience with experimental design (A/B and multivariate tests) and statistical analysis to drive business decision making.
• Excellent communication skills and the ability to tailor the message to various audiences, both technical and non-technical.

Acrisure is equally committed to supporting social issues. In 2021, the Company co-founded Evolution Advisors, a joint venture focused on providing greater access and more effectively distributing insurance products and financial services to minority-owned enterprises. In its home of Grand Rapids, Acrisure provided $15 million to create the Acrisure Center for Innovation in Children’s Health at Helen DeVos Children’s Hospital.

Salary Range: $140,000 - $160,000

Acrisure is committed to employing a diverse workforce. All applicants will be considered for employment without attention to race, color, religion, age, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Final candidates will be required to complete post-offer verification processes related to the role and in accordance with applicable laws.

To Executive Search Firms & Staffing Agencies: Acrisure does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered Acrisure’s property, and Acrisure will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting Acrisure’s Human Resources Talent Department.

https://www.acrisure.com/acrisureacastaffprivacynotice/

#LI-onsite

#BI-onsite

About this position:

We’re looking for a Lead Technical Recruiter to own high-impact recruiting for our product, engineering, data, and AI teams. This role plays a critical part in building the teams that power Later’s next phase of growth.

You’ll act as a strategic partner to leaders across R&D, designing and executing thoughtful, data-informed talent strategies that attract and close exceptional talent. You’ll also serve as Later’s anchor in the Boston market—building relationships, strengthening our presence, and representing the company externally.

This is a player-coach role with people leadership responsibility and end-to-end ownership of technical hiring outcomes.

What you'll be doing:

Strategy

• Build and own a nationwide R&D talent strategy with a deep focus on the Boston market, informed by market dynamics, academic institutions, and technical communities
• Partner with R&D and business leaders to translate organizational goals into clear, achievable hiring plans
• Design and continuously improve scalable, structured, and equitable recruiting processes that prioritize candidate quality, speed, and experience
• Champion the responsible and transparent use of AI in recruiting while maintaining trust, fairness, and data integrity
• Serve as a subject-matter expert on technical talent markets, compensation trends, and recruiting technology

Technical/ Execution

• Own full-cycle recruiting for product, engineering, data, and AI roles across levels, including senior and hard-to-fill positions
• Develop proactive sourcing strategies including market mapping, referrals, community-based approaches, and outbound engagement
• Lead offer strategy, negotiation, and closing conversations in partnership with People and Finance, balancing competitiveness and internal equity
• Maintain accurate, high-quality data within Later’s ATS and recruiting systems to support reporting, compliance, and forecasting
• Track, analyze, and share recruiting metrics (e.g., time-to-fill, quality of hire, funnel conversion) to inform decisions and continuously improve outcomes

Team / Collaboration

• Act as a trusted advisor to hiring managers, coaching them on effective, inclusive hiring practices and structured decision-making
• Supervise, mentor, and develop members of the technical talent acquisition team, supporting skill growth and operational excellence
• Partner cross-functionally with People, Marketing, and Operations to strengthen employer brand and candidate experience
• Represent Later at Boston-area events, conferences, and universities as a credible voice in technical talent acquisition

Research/Best Practices

• Stay current on technology market trends, emerging recruiting tools, and evolving hiring practices
• Build and maintain recruiting playbooks, frameworks, and documentation that scale with the business
• Benchmark Later’s talent acquisition practices against high-performing organizations and operationalize improvements

What success looks like:

• Business-critical R&D roles are filled with high-quality talent in a timely, consistent manner
• Hiring managers rely on you as a trusted partner for complex and senior-level hiring decisions
• Recruiting processes are structured, fair, and continuously improving based on data and feedback
• Later’s presence and reputation in the Boston technical talent market strengthens measurably over time
• The technical recruiting function operates with strong data hygiene, predictable execution, and clear accountability

What you bring:

We encourage candidates to apply even if they don’t meet every requirement below.

• 8+ years of full-cycle recruiting experience, with significant focus on product, engineering, data, and AI roles
• 2+ years of experience supervising, mentoring, or leading other recruiters
• Demonstrated success hiring senior-level or business-critical technical talent in competitive markets
• Experience owning a market-specific and/or function-specific talent strategy
• Proven ability to partner with senior leaders and influence hiring decisions using data, judgment, and market insight
• Strong sourcing expertise across passive talent, referrals, and community-based channels
• Hands-on experience leading offer strategy, negotiation, and closing conversations
• Track record of designing or improving structured, equitable recruiting processes
• Comfort using recruiting metrics and insights to prioritize work and improve outcomes
• Experience representing an employer externally through events, partnerships, or community engagement
• Proficiency with modern ATS and recruiting technology, including Greenhouse, LinkedIn Recruiter, sourcing automation tools, analytics platforms, and AI-enabled recruiting tools
• Exceptional communication and storytelling skills with an inclusive, consultative approach
• Resilient, resourceful, and energized by building long-term talent infrastructure in a fast-growing environment

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$145,000-165,000 OTE

#LI-Hybrid