Foley

• Own the end-to-end growth motion for the SMB segment, from acquisition through conversion and activation • Build and execute high-velocity performance marketing strategies across paid search, paid social, SEO/GEO, email, and lifecycle channels • Operate a full-funnel growth engine, spanning top-of-funnel demand through mid-funnel nurture and conversion optimization • Continuously test, iterate, and scale campaigns with a focus on CAC efficiency, LTV, and revenue impact • Build and scale a performance creative engine that produces and tests high volumes of content across channels • Develop systems to categorize, test, and optimize messaging, hooks, and creative formats • Partner across teams or external resources to establish a repeatable content supply chain that supports rapid experimentation • Expand into new channels and formats based on performance signals • Design and deploy AI-driven workflows across acquisition channels, including SEO/GEO, email, and content generation • Build automated systems for campaign execution, audience targeting, and performance optimization • Leverage agentic workflows and integrations to increase speed, scale, and output quality across marketing efforts • Apply strong judgment to ensure AI drives performance outcomes, not just efficiency gains • Drive a product-led, self-serve growth motion that converts traffic into paying customers • Optimize conversion paths, onboarding flows, and lifecycle programs to improve activation and revenue • Partner with Sales to ensure alignment between self-serve and assisted conversion paths • Identify and close gaps across the funnel to maximize conversion and revenue yield • Own core growth metrics across the funnel, including CAC, LTV, conversion rates, and channel ROI • Analyze campaign and channel performance to inform budget allocation and scaling decisions • Build a culture of experimentation, using data and rapid testing to continuously improve performance

• Build AI-driven revenue systems that capture, qualify, and convert inbound demand into measurable revenue • Design self-service and e-commerce experiences using AI to guide customers from interest to purchase • Automate and augment sales workflows, reducing manual effort and accelerating deal velocity • Develop multi-channel engagement systems across email, SMS, and web that adapt to user behavior in real time • Own measurement and optimization, using data and AI to continuously improve conversion and funnel performance • Partner cross-functionally with Growth, Sales, and RevOps to build scalable, production-ready systems

• Own demand generation strategy aligned to company growth and pipeline goals • Plan and execute integrated, multi-channel campaigns (paid media, email, web, content syndication, etc.) • Drive pipeline metrics including MLs, MQLs, AQLs conversion rates, and revenue contribution • Define KPIs and continuously optimize campaigns based on performance data • Own lifecycle strategy, including lead nurturing, segmentation, and engagement programs • Partner with Content and Product Marketing to develop high-performing campaign assets • Analyze funnel performance and identify opportunities to improve conversion and efficiency • Build reporting frameworks and dashboards to track campaign and pipeline performance • Partner with Sales, RevOps, Product Marketing, and Content to align on strategy and execution

We are looking for an Applied AI Engineer to help us make Foley truly AI-native — not by layering tools on top, but by rethinking how work gets done across the company. You’ll operate as a forward-deployed builder, embedded with business teams to identify high-leverage problems and ship real solutions. This is a hands-on role where you’ll design, build, and deploy AI-powered systems that improve how we operate, make decisions, and deliver value. This is not a research role. You build, you ship, and you measure impact. What You’ll Do Build & Ship Solutions - Design and build AI-powered systems end-to-end, including agentic workflows, internal tools, automation pipelines, and business applications - Own your work from concept through production, including iteration and improvement - Use AI-assisted development and modern tooling to move quickly without sacrificing quality Embed with the Business - Work directly with operations, compliance, sales, and product teams to understand real workflows and pain points - Translate ambiguous, messy processes into clear, scalable systems - Operate as part of cross-functional “tiger teams” focused on high-impact problems Drive Outcomes, Not Just Output - Define success metrics and measure whether your solutions improve speed, quality, or decision-making - Close the loop by evaluating what worked, what didn’t, and what to improve Build for Scale & Reuse - Design composable solutions that integrate into the broader platform - Think in reusable capabilities, not one-off scripts Operate with Judgment & Guardrails - Build with awareness of regulatory constraints (DOT, FMCSA, PII) - Apply strong judgment when using AI to ensure quality, trust, and compliance Contribute to the Builder Community - Share patterns, tools, and learnings with other engineers and teams - Review work and help raise the bar for how we build Who You Are We’re looking for builders who think in systems and care about outcomes. You may come from different paths, but you share a common trait: you build things that work. You might come from: - Data Science → GenAI Builder: You moved from analysis to building production systems - Business-Facing Engineer: You bridge technical execution and business context - Domain Expert Turned Builder: You started in a business function and taught yourself to build solutions Must-haves - You have built and shipped real products, tools, or systems (portfolio, GitHub, or equivalent) - You are fluent in Python, including APIs, data handling, and deployment patterns - You have hands-on experience building with LLMs (e.g., prompting, tool use, RAG, agents) - You think in systems and can map business workflows to technical solutions - You communicate clearly with both technical and non-technical stakeholders Strong Signals - You’ve built and deployed multi-step or tool-using AI systems - You’ve worked with orchestration frameworks (e.g., LangGraph, CrewAI, MCP) - You’ve built solutions involving document processing, structured extraction, or voice - You’ve implemented observability for AI systems (e.g., Langfuse, LangSmith) - You understand knowledge graphs or entity resolution - You’ve worked in regulated environments (transportation, finance, healthcare, compliance) - You’ve independently taken a process from “this is broken” to a shipped solution Not Required - A specific degree or traditional background - Experience at large tech companies - ML research or publications - Deep infrastructure or DevOps specialization Location: This role is primarily remote (US based), with the expectation of occasional visits to our offices for team collaboration, training, or company events. This role may be based remotely out of the following states: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Kansas, Maryland, Massachusetts, Michigan, Nebraska, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Wisconsin. About us At Foley, we’re reimagining how safety-sensitive industries hire, stay compliant, and manage risk. We’ve evolved into a modern SaaS company with an all-in-one, AI-ready platform that helps transportation, construction, distribution, and utility businesses operate faster, smarter, and safer. As we continue to grow, we’re looking for curious, strategic thinkers who thrive in complexity, are motivated by making an impact, and want to join a team that’s passionate about building great products and supporting customers. Our core values — Teammateship, Grit, and Innovation — guide everything we do. Whether we’re collaborating internally or helping customers, we approach every challenge with optimism, humor, and a shared commitment to success. Benefits Foley offers a comprehensive benefits package that includes medical, dental, and vision coverage, a 401(k) with company match, paid time off and holidays, wellness programs, and an employee assistance program. Equal Employment Opportunity Foley is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, or any other legally protected characteristic. Reasonable Accommodations If you require a reasonable accommodation during the application or interview process, please contact us at careers@foley.io Employment Status Employment with Foley is on an at-will basis. Nothing in this job posting or in future communications should be construed as a contract of employment. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

• Lead key components of the month-end close, including journal entries, reconciliations, and variance analysis • Own complex account reconciliations, ensuring accuracy, completeness, and timely resolution of discrepancies • Support revenue recognition and deferred revenue accounting in alignment with ASC 606 • Analyze large and complex datasets to identify trends, risks, and opportunities • Partner with FP&A and cross-functional teams to ensure financial data is accurate and actionable • Identify and implement improvements to close timelines, workflows, and reporting accuracy

• Design and build scalable APIs and integration workflows that power partner-facing products • Develop secure, reliable distributed systems with a focus on performance and resilience • Contribute to our MuleSoft-based API platform and cloud infrastructure (AWS, Kubernetes, Docker) • Improve system scalability, observability, and fault tolerance across services • Enhance CI/CD pipelines and DevOps workflows to increase speed and reliability • Write clean, testable code and contribute to best practices in system design and architecture • Partner with product, engineering, and external teams to deliver high-impact integrations • Support partner onboarding through stable, well-documented APIs and developer-friendly experiences

• Lead the design and evolution of our enterprise data architecture • Define standards and best practices for data modeling, storage, and access • Drive architectural decisions that balance scalability, performance, and maintainability • Design, build, and maintain scalable data pipelines • Ensure high data quality, reliability, and observability • Own data warehouse schema design and implement data governance best practices • Act as a technical expert to Engineering, Product, Analytics, and Business teams • Identify opportunities to improve work through automation, tooling, and AI

• Lead strategic relationships with a portfolio of enterprise accounts • Develop and execute account plans aligned with customer goals • Conduct regular executive business reviews to assess progress • Monitor account health and address risk indicators proactively

• Lead onboarding engagements to drive successful product adoption and faster time-to-value • Guide customers through account setup, configuration, and best practices in 1:1 and group settings • Identify risks to onboarding success and proactively drive resolution • Partner with Customer Success and CS Ops to design and deliver enablement for Customer Success Managers • Reinforce onboarding best practices and improve consistency across the post-sale journey • Partner with Sales, Product, Support, and Customer Success to ensure smooth customer handoffs and alignment • Build strong relationships with customer stakeholders to align on goals, KPIs, and success criteria • Contribute to improving onboarding playbooks, templates, and documentation • Help design scalable onboarding processes that support both high-touch and repeatable delivery models • Track onboarding performance and use data (e.g., time-to-value, adoption, CSAT/NPS) to drive improvements

• Own the Salesforce support queue (~10 requests/day), triaging issues with clear communication and fast resolution. • Ensure SLAs are consistently met (same-day acknowledgment; 1–2 business day resolution for standard requests). • Identify recurring issues and implement root-cause fixes to reduce ticket volume over time. • Set intake, prioritization, and service standards that create clarity and predictability for stakeholders. • Manage and develop one Revenue Operations team member, providing clear priorities, coaching, and performance feedback. • Allocate workload effectively across support, projects, and optimization work. • Raise the execution bar by reinforcing quality standards, documentation discipline, and stakeholder communication best practices. • Create growth opportunities and skill development plans to build long-term capability within the function. • Configure and optimize Salesforce (Flows, automation, validation rules, layouts, queues/routing, permission sets, reports, dashboards). • Ensure data integrity and scalable process design across core objects (Lead, Account, Contact, Opportunity). • Support rollout and optimization of Service Cloud functionality. • Translate business needs into durable, scalable technical solutions. • Run a lightweight, predictable release process (testing, UAT coordination, deployments, change logs, release notes). • Build stakeholder trust through transparent communication and structured change management. • Balance speed with governance to protect data integrity and system stability. • Troubleshoot cross-system workflow issues across HubSpot, Gong, Orum, 6sense, CallRail, Chili Piper, and RingLead. • Partner with Operations teams where Dynamics remains a system of record. • Collaborate on integrations and workflows across Ordway (billing) and Planhat (Customer Success). • Proactively identify opportunities to improve forecasting accuracy, pipeline visibility, and workflow efficiency.