Jared Alonzo
New York, NY · [email protected] · LinkedIn · GitHub
Summary
Customer Engineer with 6+ years owning technical delivery for enterprise accounts — from discovery and initial architecture through adoption and expansion. Strongest at diagnosing complex, multi-layer technical problems and translating them into solutions clients and internal teams can act on. Fluent in JavaScript/TypeScript, Python, and SQL. Comfortable operating across cross-functional teams and client stakeholders — translating technical constraints into business context and business goals into technical decisions.
Skills
- Languages & Data: SQL, Python, JavaScript, TypeScript, Bash, HTML/CSS
- AI & Agentic Systems: Claude, prompt engineering, agentic workflow design, MCP, agent skill writing
- Platforms & Tools: REST/GraphQL APIs, Elasticsearch, Kafka, Docker, LangChain, Warp, Google Cloud Platform, Git, Linear, Notion
- Customer Engineering: Technical discovery, solution architecture, POCs, demos, enablement, cross-functional partnership with Sales, Product, and Engineering
Experience
Customer Success Engineer — Algolia
Mar 2022 – Apr 2026
- Owned technical strategy for a portfolio of 22 Enterprise customers ($3M ARR) — driving adoption, renewals, and expansions in partnership with AEs and CSMs across pharma (Moderna, Sanofi), consumer goods (Hasbro, Mondelēz), media (Pearson, National Geographic Society), and retail (Rue Gilt Groupe, Snipes).
- Onboarded ~10 short-term clients per year through structured 3-month engagements — scoping requirements, configuring environments, and supporting integrations from contract signature through production launch.
- Led architecture reviews and technical discovery for prospects evaluating Algolia against competing platforms; built POCs in JavaScript/TypeScript and Python against real customer datasets to validate use cases before signature.
- Developed and delivered recurring technical workshops — quarterly account health checks covering search performance, query quality, indexing health, and API usage — surfacing upsell signals to AEs and risk flags to CSMs without requiring separate internal reviews.
- Recovered a high-visibility enterprise retail account that saw zero conversion lift after activating personalization — diagnosed root causes spanning attribute selection, flat-vs-nested JSON limiting AI enrichment, and a catalog lifecycle mismatch; brokered a commercial accommodation and persuaded the client to change a core operational behavior, recovering measurable conversion lift within one month and retaining the account.
- Architected a BOPIS solution for an enterprise shoe retailer with hundreds of store locations — documented three variant indexing strategies and two store-availability approaches with tradeoffs, advising against misusing the search index for time-sensitive inventory; delivered sample data structures and a working frontend-hydration code sandbox so their engineering team could make the right architectural call for their stack.
- Diagnosed relevance and performance issues via SQL log analysis; advocated for product gaps by framing requests around ARR impact and churn risk. Authored reusable integration guides, demo templates, and runbooks adopted across the CSE team.
Technical Consultant — Squiz Funnelback
Jun 2021 – Mar 2022
- Owned the technical relationship for 5 enterprise higher education customers from pre-sales discovery through go-live, designing search experiences for student- and faculty-facing portals.
- Built custom search UIs and result templates in JavaScript and Funnelback's templating layer; reduced repeat implementation work through a reusable component library.
- Presented architecture options and tradeoffs to mixed audiences — IT directors, marketing leads, end users — and translated decisions into configuration and code.
- Surfaced prioritized feature requests to Product based on patterns observed across customer discovery sessions.
Implementation Consultant — FAST Enterprises
Sep 2019 – Jun 2021
- Deployed FAST's GenTax tax administration software for the Commonwealth of Pennsylvania, spanning discovery, business rule configuration, training, and post-launch stabilization.
- Maintained the enterprise unemployment insurance claims system for the State of Michigan, resolving production issues and configuring workflow updates to support ongoing agency operations.
- Served as primary technical advisor to agency directors, IT leads, and end users — communicating system behavior, tradeoffs, and constraints in their language.
- Built and delivered training programs and documentation adopted by end users across both engagements.
Education
Bachelor of Science, Computer Science — Seattle University