CollectWise hires Senior Forward Deployed Engineer for AI debt-collection

Per a job posting hosted on beBee and mirrored on several job boards (ZipRecruiter, JobLeads, Jobsora), CollectWise, a Y Combinator-backed startup, posted an opening for a Senior Forward Deployed Engineer based in New York. The beBee posting describes the company as "using generative AI to automate debt collection, a $35B market in the US alone," and states: "Our AI agents are already outperforming human collectors by 2X," and that the company "scaled to a $2 million annualized run rate in just a few months" and is "now hiring ... to help us reach $10 million within the next year." The listing frames the role as end-to-end customer implementation work and lists a base salary range of $240,000 $300,000 on beBee; other job boards show broadly similar ranges (approximately $200,000 $300,000**) and listing details (on-site/hybrid, New York).

The job description requests hands-on experience with backend and web stack technologies including Node.js, React.js, AWS, and SQL, and explicitly mentions familiarity with GPT-5 or other large language models and an interest in voice AI. The role is described as bridging engineering and operations: building integrations, productionizing AI agents (prompts, workflows, data transfers), and delivering client-specific solutions and internal tooling to speed implementations.

Editorial analysis: Companies offering client-facing AI products commonly hire Forward Deployed Engineers to pair technical delivery with customer integration, especially when LLM-driven workflows must be adapted to heterogeneous client systems. Observers tracking such roles note they frequently require a mix of backend engineering, prompt/agent configuration experience, and operational skills to move pilots into production.

Editorial analysis: The listing highlights demand for combined systems-plus-LLM expertise, including experience with production engineering (cloud, databases, APIs) and LLM tooling. Salary ranges posted across boards indicate that startups deploying autonomous LLM agents can budget competitive compensation for senior implementation engineers. For ML engineers and infra practitioners, the role underscores opportunity areas: prompt engineering at scale, secure data transfers, and integration of voice and telephony stacks with generative models.

• •Recruiting signals: whether CollectWise publishes further fundraising or product announcements that corroborate the revenue run-rate claims. The beBee posting makes specific growth claims; CollectWise has not been quoted directly in the scraped listings beyond the job text.
• •Technical stack choices: signals that the company is standardizing on particular LLMs or vector stores (the postings mention GPT-5 but do not document production architecture).
• •Compensation and equity: several job boards list differing compensation and equity ranges; observing finalized offers and public hires will clarify market rates for similar roles.

The facts above are taken from the job posting on beBee and corroborating listings on ZipRecruiter, JobLeads, Jobsora and related job-aggregator snippets. The company has not been quoted in independent news coverage in the scraped sources provided.