Burq

Engineering Manager

• Manage and grow engineering leads for Merchants Core and Merchants Growth
• Run 1:1s, set goals, provide feedback, and develop your team
• Own hiring for your teams — source, interview, and close strong engineers
• Foster a culture of ownership, technical excellence, and direct communication
• Own architectural decisions across billing, invoicing, checkout, dashboard, and the delivery promise engine
• Write and review RFCs for non-trivial features — set the bar for how engineering decisions are made
• Review AI-generated and human-written code with equal rigor — you understand every line that ships
• Drive the evolution of Burq's merchant experience toward a full enterprise delivery platform
• Own sprint health, backlog quality, and delivery predictability across both teams
• Ensure KTLO (Keep the Lights On) work — billing reliability, notification infrastructure, account management — always has a home and never loses to feature pressure
• Partner closely with the Merchants PM and designer to translate product strategy into engineering roadmaps
• Maintain a clear boundary between Core (reliability, billing, KTLO) and Growth (product, promise engine, features)
• Work directly with the Head of Engineering on org structure, hiring plans, and technical strategy
• Collaborate with Customer Success on merchant operational pain — Core is the team closest to that surface
• Partner with the Data team on financial reconciliation and analytics infrastructure

Engineering Manager, Merchants

Financial Planning and Analysis

• Own budgeting, forecasting, and a rolling financial model grounded in actual results
• Deliver real-time visibility into burn, runway, and cash
• Install capital-allocation discipline: clear ROI on every team, initiative, and investment
• Produce board-grade financial reporting, analysis, and hygiene
• Own and shape our revenue strategy end to end — pricing, packaging, and monetization
• Build the upsell and expansion motion
• Model the unit economics and metrics that define a marketplace — take rate, contribution margin per delivery, gross margin, CAC:LTV, net revenue retention, and burn multiple
• Partner with Go-to-Market on deal-level pricing for complex enterprise opportunities, and stand up revenue forecasting and operating rigor
• Scale our accounting operations — close, controls, and systems — into a reliable, in-house-caliber function
• Establish financial controls, policies, and audit readiness
• Lead financial preparation - model, data room, narrative, and diligence
• Own investor and board relationships, reporting, and materials alongside the co-founders
• Own the cap table, scenario and dilution modeling, and capital planning
• Provide operational leadership across G&A — own or partner closely on People/HR and Legal as we scale
• Build the systems, processes, and team that let the company grow efficiently
• Serve as a strategic thought partner to the founders on company-wide operational decisions

VP of Finance

Data Scientist

• Own the full data platform — the warehouse, streaming and batch ingestion, the semantic layer, and BI infrastructure.
• Define and enforce data governance — access management, quality standards, and a well-modeled, trustworthy "gold" layer.
• Make the warehouse the source of truth for operational, product, and financial analytics.
• Build the models that power delivery intelligence — forecasting, prediction, optimization, matching/allocation, and reliability scoring that turn our data into better real-time decisions.
• Stand up the ML systems that make this real and reliable: feature pipelines, training, serving, evaluation, and drift monitoring.
• Design the learning loop — instrument decisions and outcomes so models continuously improve.
• Drive the AI agent initiative to production, partnering with product and engineering on the surrounding workflows.
• Manage and grow the data and ML team (starting from a small core) — hire data engineers, analytics engineers, and data scientists/ML engineers as the platform matures.
• Establish a clear intake process for ad hoc data requests so the team works from a roadmap, not in reactive mode.
• Partner with Sales, Customer Success, and Finance on data-driven analyses and decisions.

Head of Data, AI

Platform Engineer

• Design and build the platform that Burq scales on for the next several years
• Own and execute the AWS account split — separating production, staging, and development into clean isolated environments
• Lead the Aurora DB production migration with support from our infrastructure advisor
• Manage and evolve our ECS Fargate services, RDS clusters, ElastiCache, SQS queues, and ALB configuration
• Own Terraform — infrastructure as code, not click-ops
• Harden IAM — developer permission sets, production access controls, least-privilege enforcement
• Audit and lock down public S3 buckets
• Enable AWS Config and Security Hub across all accounts
• Own SOC 2 Type 2 readiness maintenance in partnership with Sprinto
• Coordinate external penetration test cadence
• Own and improve our GitHub Actions CI/CD pipelines — build times, test reliability, deployment velocity
• Build out PR stack environments so product teams can test independently
• Drive the local development stack initiative — Docker Compose-based environments that replace shared preprod
• Integrate AI-assisted testing into the CI pipeline
• Own CloudWatch dashboards spanning ALB, ECS, RDS, ElastiCache, SQS, and target group health
• Lead post-incident reviews and ensure every incident produces a runbook entry
• Partner with product teams to distribute platform work as a standing sprint allocation — not a separate queue

Senior Platform Engineer

Technical Customer Success

• Own a book of enterprise and strategic accounts — driving adoption, retention, and revenue expansion as their primary technical and commercial point of contact.
• Debug customer issues independently — tracing API and webhook failures, reading logs, and resolving integration problems without escalating to engineering wherever possible.
• Guide customers through API integrations and new feature rollouts, from initial setup through live order flow, partnering with their engineering teams hands-on.
• Build and maintain your own dashboards and reports — writing SQL to monitor account health, surface usage trends, and quantify the value Burq delivers.
• Lead quarterly business reviews and renewal conversations, translating platform performance and ROI into a clear case for retention and expansion.
• Identify and drive upsell and cross-sell opportunities — new verticals, locations, carriers, and product capabilities — in partnership with Sales.
• Introduce customers to new Burq features and capabilities, ensuring they adopt the parts of the platform that move their business.
• Serve as the voice of the customer internally — surfacing recurring issues, feature gaps, and product feedback to Product and Engineering with the technical detail to make it actionable.
• Reduce time-to-resolution and reliance on engineering by building runbooks, documentation, and reusable diagnostics for common customer issues.

Customer Success Engineer

Solutions Engineer

• Lead technical discovery with prospects to understand their existing delivery stack, carrier relationships, OMS/WMS/TMS integrations, and operational pain points.
• Build and deliver tailored demos of Pulse AI and the full API — adapted to each prospect’s vertical (restaurant, grocery, retail, pharmacy, parcel, and more).
• Scope and run proof-of-concept integrations, guiding prospects’ engineering teams through Burq’s API from webhook setup through live order flow.
• Stay hands-on through the initial implementation on key deals — driving the first production orders before a clean handoff to post-sales and the forward deployed team.
• Architect end-to-end delivery solutions for multi-stakeholder enterprise deals, spanning a customer’s engineering, operations, and procurement teams.
• Respond to RFPs, security questionnaires, and technical due-diligence requests with clarity and speed.
• Produce clean, detailed integration specs and handoff documentation for post-sales and engineering.
• Surface prospect feedback and recurring objections to product and engineering to shape the roadmap — you are a primary voice of the customer in the pre-sales motion.

Senior Solutions Engineer

AI Engineer

• Design and ship production AI systems — multi-agent orchestration, routing, and specialized agents that take a request and carry it through to a reliable outcome.
• Automate manual operational work across onboarding, support, exceptions, and document/data understanding — turning processes that take hours or days into seconds.
• Build the models behind the decisions — forecasting, prediction, matching/allocation, optimization, and reliability scoring that ground the product in data instead of guesswork, exposed as services the agent layer can call.
• Design the learning loop. Instrument decisions and their outcomes so models continuously improve, with the data and evaluation infrastructure to support it.
• Own reliability and evaluation. Build the eval harnesses, tracing, observability, and guardrails for complex AI workflows where mistakes carry real operational and financial consequences — and prove a model or agent beats the status quo before it ships.
• Make the build-vs-rules calls — know when a model genuinely wins, when an agent is the right tool, and when a simple rule is the smarter answer.
• Raise the bar and help the team grow — push our prototyping-to-production pipeline forward and mentor engineers as the AI team scales.