Scribe

Full-stack Engineer

• Own the technical vision and long-term architecture of Scribe's monetization platform: billing, pricing infrastructure, entitlements, provisioning, packaging, and customer/org hierarchy
• Set the technical standard for the billing engineering team define engineering norms, lead high-stakes design decisions, and raise the level of junior engineers through review and mentorship
• Drive the design of systems that allow Scribe to launch new pricing models, tiers, and products without re-architecting from scratch
• Own the entitlements and access control layer — the boundary between billing state and product access
• Define and maintain the infrastructure Finance and Revenue Operations rely on: reconciliation pipelines, audit trails, reporting, and close processes
• Partner with Growth leads to keep monetization and growth systems coherent as they scale
• Collaborate with the Controller, Revenue Operations, Sales, and Product leadership to translate business requirements into durable system design
• Identify and eliminate architectural gaps that create financial risk, operational complexity, or product constraints
• Shape the technical direction for how self-serve subscriptions, enterprise invoicing, and sales-assisted purchasing coexist at scale
• Contribute to hiring, onboarding, and engineering culture on the monetization team

Staff Software Engineer, Monetization

People Operations

• Build manager enablement that actually sticks. Design the coaching, tools, and accountability structures that set managers up to lead well and hold a high performance bar as the org grows
• Own performance cycles and engagement surveys end-to-end: design, run, synthesize, and turn what the data tells you into recommendations the business acts on
• Close the loop between People and Recruiting. Help establish the feedback system between who we hire, what qualities predict success at Scribe, and how that informs both sourcing and long-term retention
• Bring rigor to compensation and total rewards. Take what's currently ad hoc (comp requests, market benchmarking, total rewards framing) and build something repeatable and defensible
• Partner with People leadership to prioritize and execute the people roadmap, staying ahead of what employees and managers actually need before it becomes a problem
• Identify gaps and build what doesn't exist yet, from lifecycle improvements to new engagement initiatives, take a direction and run with it

Senior People Ops Generalist

Engineering Manager

• Define and execute the technical vision, leading the team to build scalable, reliable, and elegant solutions.
• Own product outcomes, working closely with product, design, and business leaders to ensure we're solving the most important problems.
• Architect processes that scale, balancing speed and stability as the company grows.
• Drive execution, ensuring the team consistently ships high-impact, high-quality products in a fast-paced environment.
• Raise the bar, fostering a culture of technical excellence, rapid iteration, and continuous improvement.
• Be a force multiplier, hiring, coaching, and mentoring a high-caliber, diverse team of engineers.

Senior Engineering Manager – Optimize

DevOps Engineer

• Own database reliability across Aurora, OpenSearch, Redis, and our CDC pipeline — including schema design reviews, migration safety (locks, backfills, concurrent index builds, NOT VALID constraints), and incident response for the data tier
• Make the Django ORM a strength at scale: catch N+1 patterns in review, extend QuerySet conventions and physical schema standards, and build the CI checks and AGENTS.md scaffolding that encode those standards so they scale beyond any single reviewer
• Operate and evolve the CDC pipeline from Aurora through DMS to S3 Parquet to Snowflake – including replication slot hygiene, schema evolution safety, and automated checks that catch migrations likely to break downstream consumers before they ship
• Build and improve observability across pganalyze, CloudWatch, and Honeycomb, with Django-side instrumentation that ties slow ORM queries back to specific users, flags, and deploys
• Drive multi-AZ resilience within our single-region architecture — Aurora writer/reader placement, failover behavior, RTO/RPO, ElastiCache and OpenSearch AZ topology, RabbitMQ survivability
• Build self-service tooling and dashboards that give product and platform teams visibility into their own query footprint, reducing the review burden as the engineering org grows
• Contribute to onboarding and knowledge-sharing as a large incoming class of engineers joins — write docs, run internal sessions on "what your ORM query is really doing," and feed that knowledge back into AI review tooling

Senior Database Reliability Engineer

• Diagnose what's working (and what isn't) across the revenue org, make opinionated recommendations backed by data, and build the systems and automations that execute on those recommendations.
• Own some of our most important AI tooling and enablement, and be the team's resident expert on how AI changes the way modern GTM teams operate.
• Analyze GTM performance across Sales, Marketing, and CS — surface what's working, flag anomalies, and deliver opinionated recommendations to the revenue org.
• Own agent design and AI-enabled development — build and maintain a structured, data-driven agentic universe with clear iteration and roadmap management.
• Use AI tools and agents to surface insights, recommend GTM strategic moves, and design systems and process around an AI-enabled GTM team.
• Design measurement frameworks that connect outbound activity to pipeline to ARR — ensuring every play is trackable and every dollar is attributable.
• Partner with GTM leadership and cross-functional leaders on strategic planning, audience design, and performance reviews.
• Own Agentic Go-to-Market workflows as an innovator, pioneer, and advocate, pushing for new ways to implement new workflows within the GTM organization.
• Own Clay as a platform — lead enrichment strategy, maintain and scale playbooks, manage credit ROI, and drive best practice adoption across the team.
• Drive agent-activation within Dust — build workflows, knowledge bases, and automations that make the revenue org faster, more consistent, and more informed.
• Expand the use of AI-native tooling (Claude, OpenAI, and emerging GTM tools) across research, personalization, signal detection, and lead scoring.
• Own and continuously improve the leads engine — identifying high-signal triggers, building enrichment workflows, and improving targeting precision over time.
• Evaluate and implement new AI tools that push Scribe's GTM capabilities forward.

GTM Engineer

Communications

• Own how Scribe is perceived by our core audiences: enterprise buyers, investors, and top talent
• Manage the full lifecycle of executive and brand opportunities
• Own Scribe's external communications strategy and manage our PR agency relationship
• Partner closely with our CEO to scale her platform as a founder and thought leader

Director, Communications – Founder Brand

Creative Strategist

• Own the end-to-end creative process for Meta, turning research and insights into high-converting concepts, scripts, briefs, and storyboards that consistently capture attention and drive new Scribe users.
• Create, produce, and test 100+ ad creatives a month, moving quickly from idea to execution while maintaining a relentless focus on clarity, storytelling, and measurable impact.
• Translate performance signals into creative strategy, using metrics like Hook Rate, Hold Rate, CTR, CPE, and CPA to understand what’s working, why it’s working, and what to produce next.
• Push the boundaries of paid social creative, experimenting with new formats, visual styles, and production approaches that break through the feed and differentiate Scribe in the market.
• Collaborate closely with creators, editors, and designers, writing briefs that bring ideas to life at scale while preserving narrative intent and creative integrity.
• Stay up-to-date to cultural shifts, platform changes, and emerging creative techniques, applying the latest insights from Meta, competitive analysis, and the creator ecosystem to keep Scribe ahead of the curve.
• Challenge conventional best practices with bold, insight-backed ideas that raise the bar for what performance creative can look like — and prove it through testing and results.

Senior Creative Strategist, Performance Marketing

Data Scientist

• Manage and grow a high-performing data team by hiring and developing talent, fostering a culture of experimentation, continuous learning, and bias to action.
• Define and deliver on Scribe's data platform, aligning with our organizational goals and working with executive leadership to integrate data initiatives into strategic company efforts.
• Be a cross-functional magnet with our business and finance teams, to gather insights on customer journeys, product engagement, and growth trends, ensuring data is leveraged effectively by everyone.
• Continuously evaluate and integrate new technologies to advance data modeling, data governance, and team capabilities, driving operational efficiency and data accessibility across Scribe.

Head of Data

Customer Success Manager

• Act as a primary point of contact for Enterprise customers using Scribe across a variety of geographies, industries and use cases.
• Successfully onboard new customers to Scribe by supporting account setup, planning and enablement that is tailored to their business needs.
• Draw on your product expertise to advise customers on best practices and facilitate the most effective use of Scribe.
• Identify signals and craft necessary interventions to ensure strong adoption of Scribe and progress towards the customer’s goals, leveraging both tailored and scaled approaches.
• Assess activity data and calculate and communicate ROI to customers based on real business results.
• Engage directly with Scribe champions to drive adoption and uncover expansion opportunities within their organizations.
• Manage contract renewals to maintain best-in-class customer and revenue retention, and provide a seamless customer experience.
• Partner closely with Account Executives to execute against growth opportunities within your portfolio.
• Collaborate with Scribe Product, Marketing, and Support team members across initiatives to surface relevant customer insights and feedback.
• Spearhead strategic projects to continuously improve key metrics: adoption, retention, and expansion.

Customer Success Manager, Mid-Market

Marketing

• Own the field events strategy for Scribe Optimize end-to-end, from building the annual calendar to executing executive roundtables, hosted dinners, and targeted conference activations that generate enterprise pipeline, not just brand presence.
• Define which formats, segments, and geographies to prioritize, and build the data to back those decisions, turning the events function into a repeatable, pipeline-generating program.
• Design and run the pre- and post-event sales motion in partnership with BDRs and AEs: account targeting, invite strategy, multi-threading playbooks, and follow-up cadences that actually convert.
• Build and own pipeline attribution for field events, establishing how Scribe measures whether events are working, and what changes when they're not.
• Partner with PMM & Brand and Demand Generation on event content, speaker strategy, and how field programs connect to broader campaign themes for Scribe Optimize.

Field Marketing Manager

Business Development Rep

• Turn interest from Scribe’s rapidly growing PLG user base into qualified enterprise opportunities
• Research target accounts and key stakeholders
• Design and execute outbound and reactivation campaigns
• Build trusted partnerships with Account Executives
• Lead high-value prospect conversations
• Experiment with new outreach strategies
• Represent Scribe in webinars and live customer interactions

Business Development Representative

Backend Engineer

• Build and ship backend features in our Django monolith, spanning core document workflows (viewing, editing, embeds, exports) as well as new greenfield projects that expand what Scribe can do
• Improve performance and reliability by optimizing database queries, endpoints, and caching layers in well-scoped areas
• Collaborate with product managers, designers, and frontend engineers to deliver intuitive and reliable experiences at scale
• Incorporate feedback from teammates to continuously grow your craft
• Write thoughtful code reviews, solid tests, and pay attention to observability and performance in your work

Sales

• Lead and develop a high-performing, fast-paced team responsible for converting inbound demand and outbound opportunities into new SMB customers.
• Drive pipeline conversion and deal velocity.
• Build repeatable playbooks for PLG-assisted sales.
• Coach reps on discovery, demo efficiency, and closing discipline.
• Ensure forecast accuracy across a high-activity environment.
• Partner closely with Marketing, Growth, RevOps, Product, and Enablement to optimize lead flow, improve conversion rates, and continuously refine the SMB sales motion.

Sales Manager, SMB

Account Executive

• New Customer Acquisition: Build a robust pipeline from a high volume of inbound leads.
• Closing Deals: Secure multiple $25k+ deals with businesses each month using a consultative and structured sales methodology.
• Pipeline Management: Actively manage a high volume pipeline.
• Problem-Solving: Identify critical business challenges customers aim to address with Scribe and position it as a solution.
• Best Practices Development: Collaborate to establish and share best practices across the team.
• Product Demos: Conduct live demos for prospects to showcase Scribe’s value and address functional inquiries.

Account Executive, Mid Market

• Own the data tier end-to-end
• Design schemas and access patterns that scale, tune Aurora for latency and throughput, and set the standards for how engineers interact with our databases
• Review migrations for safety at scale — locks, backfills, concurrent index builds, NOT VALID constraints
• Catch N+1 patterns and missing select_related/prefetch_related in review
• Establish conventions for QuerySet usage and physical schema design (indexes, constraints, partitioning)
• Scale review through automation, not heroics — author AGENTS.md files and DNA scaffolding that encode our conventions, configure AI review bots (Claude Code, Cursor, etc.) to flag risky migrations and ORM anti-patterns, and iterate on those configs as new failure modes emerge
• Capacity planning as traffic and engineering throughput grow
• Zero-downtime schema migrations and cutovers
• Multi-AZ resilience within a single region — Aurora writer/reader placement, failover behavior and RTO/RPO, ElastiCache and OpenSearch AZ topology, RabbitMQ survivability across AZs
• Backups, PITR, failover testing, retention
• Own the CDC pipeline (Aurora → DMS → S3 Parquet → Snowflake)
• DMS task design and tuning, replication slot hygiene on the Postgres side
• Schema evolution as Django migrations roll through — so a column rename doesn't silently break the warehouse at 6 AM
• Parquet layout and partitioning, reliability of the Snowflake handoff
• Automated checks that flag migrations likely to break downstream consumers
• Drive observability across three complementary tools: pganalyze, CloudWatch, Honeycomb