A skilled Data Engineer with hands-on experience in data engineering, web scraping, system integrations, and data migration, building automated data extraction solutions from healthcare vendor portals.
Enterprise Sales Engineer— a hybrid technical and customer-facing role that connects our AI platform to the real workflows of the world’s largest logistics companies.
Locations (4)
United States
San Francisco, California, United States
New York City, New York, United States
London, England, United Kingdom
Compensation
The estimated salary range for this role is $200,000 - $250,000 OTE depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and opportunities for growth. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location.
Build and own the pipelines that pull claims, bills, EOBs and coverage data from payer portals, providers and partners, design for failure, own the path from raw capture to normalized records to analytics, set technical direction for the pod, mentor engineers, and work with AI-native workflow.
Responsibilities
Build and own the pipelines that pull claims, bills, EOBs and coverage data from payer portals, providers and partners
Design for failure: portal changes, auth and 2FA, partial data, rate limits, and knowing something broke before an advocate does
Own the path from raw capture to normalized records to analytics, including where PHI lives and how it's protected
Set technical direction for the pod: architecture, sequencing, and what we say no to
Mentor engineers on the pod through code review, pairing and design, and raise the bar for how we build with agents
A hybrid technical and customer-facing role that connects Pallet’s AI platform to the real workflows of the world’s largest logistics companies.
Compensation
The estimated salary range for this role is £150,000–£190,000 OTE depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and opportunities for growth. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location.
Responsibilities
Own and deliver technical demos that accelerate deals
Build quick integrations and prototypes using Zapier, Retool, or Make
Map and reason through data flows across TMS, WMS, and CRM systems
Partner with Sales on proofs of concept and technical validation
Enable the GTM team by building demo templates and feature briefings
Own core backend infrastructure that processes complex clinical and financial workflows, helping bring new capabilities into reliable production systems.
Compensation
Base salary: $160,000 to $200,000 annually. Visa sponsorship is not available.
Responsibilities
Build and scale distributed backend systems for chart processing, claims, authorizations, denials, and payer and provider integrations
Develop browser and computer-use automation to navigate medical record software and payer portals
Design reliable systems to process scanned charts, PDFs, structured claims, unstructured notes, and operational data at scale
Build orchestration, queuing, retry, and observability infrastructure for long-running workflows across healthcare systems
Partner with research and product engineers to put clinical intelligence capabilities into production and establish engineering patterns
Requirements
Degree in computer science, mathematics, or a related field
Founding product engineer for a personal AI assistant team, owning the agent and user experience end-to-end.
Compensation
Base salary: $200,000 to $300,000 annually.
Responsibilities
Build the agent decision-making layer, including tool-calling loops, memory, context assembly, prompts, and model routing.
Create evaluation infrastructure with conversation replay, turn-level judges, and regression suites to guide release decisions.
Own product experiences across mobile and web, from onboarding and initial replies to follow-ups, group chats, approvals, and trusted-network features.
Ship features end to end, using experimentation and feature flags to measure outcomes.
Build integrations with email, calendar, booking, payment, and browser tools, including resilient workflows and user approval steps.
Lead product strategy and execution for synthetic monitoring within Palo Alto Networks’ Cortex XCOR platform, integrating real‑user and synthetic data to deliver end‑to‑end observability for containerized environments.
Locations (2)
Burbank, United States
United States
Compensation
$176,800.00 - $286,000.00/yr
Responsibilities
Conduct primary research with SREs, front‑end developers, and platform teams to understand journey‑testing workflows and pain points
Maintain close contact with customers, design partners, and field teams through discovery calls and interviews
Participate in sales calls where synthetic coverage is critical, gathering feedback to inform roadmap prioritization
Partner with engineers and technical stakeholders to articulate, scope, and deliver a coherent product
Build on XCOR’s observability platform so that synthetic results arrive as OpenTelemetry‑native signals and correlate with existing metrics, traces, and logs
Lead the creation and growth of Zenrows’ developer relations program, building community, advocacy, and technical content to drive adoption of the web data infrastructure platform.
Responsibilities
Build and scale the DevRel function from scratch
Engage with developer communities via talks, workshops, hackathons, and online channels
Create videos, demos, templates, and open-source projects
Drive community discussions on Reddit, X, Discord, and other platforms
Collect and relay community feedback to product and engineering teams
Engineer in the customer room and product engineer who ships what the room needs, turning enterprise problems into clear technical designs and measurable outcomes.
Compensation
Receive competitive cash compensation and meaningful equity in the company you are helping build.
Responsibilities
Turn ambiguous enterprise problems into clear technical designs, working software, and measurable outcomes.
Build product surfaces for agent conversations, tasks, progress, approvals, artifacts, and operational workflows.
Design APIs and relational data models that accurately represent the customer’s domain.
Build agent instructions, tool interfaces, connector interactions, and durable workflow steps with explicit permission and failure behavior.
Navigate enterprise requirements around authentication, authorization, tenant isolation, data handling, deployment, observability, and change management.
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