Spellbook

• Working as a part of a distributed team in a fast paced environment, identifying opportunities to make impactful enhancements to lawyer workflows • Designing, architecting, and implementing new features in the Spellbook application. • Using the latest large language models (LLMs) from OpenAI, Anthropic, and other LLM providers to add and improve application functionality such as providing our customers with review suggestions they can use to improve their documents. • Collaborate with our product management team on changes to our React application to improve customer experience. • Add and improve application functionality by improving our Express and tRPC based API. • Improving the performance and reliability of existing functionality and addressing user feedback through bug fixes. • Building and maintaining application infrastructure in Amazon Web Services (AWS) with AWS Cloud Development Kit (CDK). • Conducting code reviews and providing constructive feedback to team members. • Other responsibilities as required.

• Infrastructure management and optimization (AWS, MongoDB, infrastructure as code) • Platform capabilities including but not limited to authentication, authorization, entitlement, AI inference • CI/CD pipeline improvements and build tooling • Worker queue management (BullMQ) and API development (tRPC) • Developer experience improvements and tooling • Monitoring and observability (Datadog) • Service reliability and performance optimization

• Define and drive the growth product strategy and roadmap, with clear ownership over top-of-funnel, activation, conversion, and retention metrics. • Design, run, and analyze A/B and multivariate experiments across the product to identify high-impact growth levers and rapidly iterate on findings. • Collaborate with engineering and design to build and optimize growth-oriented product surfaces — including onboarding flows, in-product upsell and upgrade moments, referral mechanics, and pricing page experiences. • Partner closely with marketing, revenue operations, and sales to align on the full customer journey, from first touch to paid conversion and expansion. • Develop a deep understanding of user behavior through quantitative analysis and qualitative research, and use those insights to prioritize the growth roadmap. • Own growth metrics including signups, activation rate, trial-to-paid conversion, time-to-value, and net revenue retention, and report on progress regularly to leadership. • Build and maintain a healthy experimentation pipeline, balancing quick wins with longer-term bets that compound over time. • Other responsibilities as required.

• Define and drive the enterprise product vision, strategy, and roadmap — balancing the needs of large, sophisticated customers with Spellbook's broader mission and business goals. • Collaborate with engineering and design to build and scale features purpose-built for enterprise environments, including admin controls, permissions, workflows, data residency, and integrations. • Develop a deep understanding of enterprise buyer and user personas — from IT and procurement to managing partners and in-house legal leads — and translate their needs into product decisions. • Partner closely with enterprise sales, forward deployed engineering, and customer success to support complex deal cycles, onboarding, and long-term account expansion. • Manage and prioritize Forward Deployed Engineering (FDE) engagements, balancing the need to unblock critical custom deals with capturing and driving value back into the core product roadmap. • Define and own enterprise-specific success metrics, including adoption, retention, expansion revenue, and time-to-value, and use data to continuously refine the roadmap. • Manage enterprise customer feedback loops, including executive business reviews, design partnerships, and beta programs with key accounts. • Other responsibilities as required.

• Work as part of a distributed team to identify and implement impactful improvements to the company’s data platform, accelerating product and AI development • Design, architect and implement scalable data infrastructure supporting both analytics and AI/ML-driven product features. • Build and maintain compliant, auditable data storage and processing systems in AWS, with infrastructure-as-code. • Develop and operate robust data pipelines and orchestration systems and own the generation of core datasets, ensuring they are reliable, reproducible and easy to evolve, with robust backfill and reprocessing capabilities • Designing and implementing data retention and deletion workflows that meet legal and compliance requirements • Contribute to architectural decisions and documentation as the platform evolves • Other responsibilities as required.

• Build and scale backend systems that support core product functionality across Spellbook (Reviews, Chat, Library, and more). • Design low-latency, high-reliability search, inference, and orchestration layers for AI features • Build and operate RAG retrieval at scale with production-grade performance optimization and permissions-correct data isolation. • Own core platform concerns for AI: rate limiting, retries, consistency, fallbacks, safe degradation • Partner closely with Product and Design to make good tradeoffs between latency, accuracy, UX, and reliability. • Use modern development workflows, including agent-assisted coding, to accelerate delivery while maintaining rigorous review, testing, and security standards. • Participate in on-call and incident response as needed, and improve feature reliability in the process

• Develop and execute demand generation strategies focused on enterprise accounts across legal departments, procurement teams, and law firms • Build integrated, multi-channel campaigns across email, webinars, events, paid media, content, and outbound support • Create and scale ABM programs targeting strategic accounts • Partner with Account Executives and SDRs to align on target account strategy and build campaigns that support strategic opportunities and expansion efforts • Launch executive roundtables, customer events, and webinar programs designed to generate qualified meetings • Develop nurture programs tailored to enterprise buying committees • Run experiments to improve engagement, meeting generation, and pipeline creation • Improve marketing automation and campaign operations • Help define scalable demand gen processes as Spellbook grows • Support with other responsibilities and projects as required

• Apply statistical, machine learning, and econometric methods to large datasets to evaluate channel performance and isolate the causal impact of marketing and sales activity on a multi-touch B2B sales cycle • Build attribution models and investment frameworks that inform Spellbook's channel spend, helping marketing and finance understand which messages resonate with which segments at each stage of the funnel • Partner with Marketing Ops, Sales, and Engineering to unify data across first- and third-party sources, so every growth decision is made with full context • Drive experimental design across acquisition, activation, and retention surfaces, enabling fast, low-cost iteration on new channels and messaging • Shape the data culture at Spellbook by improving the tools, processes, and systems the broader team uses to make decisions at scale

• Own enterprise deployments end-to-end: Partner with customers to understand legal workflows and technical environments; lead implementations in complex organizations; translate ambiguous requirements into production systems. • Build integrations and AI-native workflows: Integrate Spellbook with document management systems (e.g. iManage, NetDocuments), identity systems, and internal APIs. Design and implement workflow-heavy solutions (approvals, routing, permissions, auditability) tailored to real enterprise constraints and tools. • Tailor and extend the product for customers: Tune model inference, augment context, and adapt the product experience to meet specific customer needs across deployments. • Drive adoption and impact: Work closely with end users (lawyers and legal ops), iterate rapidly based on feedback, and ensure solutions are reliable, performant, and actively used. • Feed insights back into the platform: Identify repeatable patterns across deployments and influence core roadmap and platform capabilities by turning custom work into scalable features.

• Define and champion a unified product vision across Spellbook's entire portfolio - from the core Word experience to Associate, playbooks, and beyond. • Build, manage, and mentor a small team of PMs, creating the culture, processes, and craft that great product teams are built on. • Own the roadmap end-to-end - prioritization, sequencing, trade-offs - balancing near-term customer value against long-term platform bets. • Partner with engineering and design to drive execution: clear specs, tight feedback loops, unblocked teams, and launches that land. • Lead go-to-market coordination for product launches, working with marketing, sales, and customer success to ensure every release drives adoption. • Be the voice of the customer: synthesize insights from user research, support tickets, sales calls, and data into product decisions. • Partner with the CEO and leadership team on product strategy and company direction, contributing to investor narratives and fundraising materials. • Establish metrics and feedback loops that measure product health, feature adoption, and user outcomes across the portfolio. • Support with other responsibilities and projects as required.