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About the Role

As a Staff Product Engineer, you will work directly inside our most strategic enterprise customers. You will build the software that makes their AI agents work in production, and be measured by the difference it makes for the customer. You will build the part AMP does not cover yet for a given customer: the last connection into their systems, or a capability the product does not have. Staff means harder problems and more ambiguity, not less hands-on work. You will own the architecture and the build, and on some accounts, you will own the engineering yourself.

Responsibilities

Lead the hardest engagements and run complex programs with several workstreams.
Make architecture decisions that span Parloa’s platform and several parts of the customer’s organization.
Build integrations and capabilities that AMP does not cover, such as systems of record, telephony and contact-center integrations, state management, data readiness, multi-agent orchestration and retrieval.
Build a prototype quickly when the answer is unclear and decide whether it is worth pursuing before Parloa invests a full quarter in it.
Own production quality and security, including evals, production readiness, observability and incident playbooks for enterprise-scale traffic.
Meet data handling standards for regulated customers, including PII, access control and audit trails.
Debug live issues, whether technical or caused by model behavior.
Drive the second use case, the second business unit, and the renewal for accounts.
Set the delivery standard for other engineers on complex accounts.
Flag features that would help every customer for inclusion in the core product.
Mentor other Product Engineers.
Take part in interviewing and hiring.
Use AI well and set the standard for it, deciding how AI-assisted work is validated before it reaches customer production traffic.
Represent Parloa with senior technical stakeholders, including principal engineers, architects, and security leaders.
Act as the engineer commercial teams bring in when a prospect asks how the solution would work for them.

Requirements

8+ years of professional software development, delivering production systems end to end.
5+ years leading the design and architecture of large-scale production systems in customer-facing or enterprise environments, with a focus on reliability, scale and failure modes.
Experience leading agentic, spec-driven development in production, including knowing when a coding agent’s output is wrong and what checks it needs before it ships.
A track record in long-term accounts or fast experiments, owning a strategic enterprise relationship over several years or testing new ideas at the frontier and deciding quickly whether they were worth building.
Experience as a mentor or tech lead, helping engineers become independent.
Comfortable with ambiguity and with customers, working well in complex organizations, building trust quickly with new customer teams, spotting risks early and keeping judgment when stakes are high.
Willingness to travel up to 25% to customer sites, depending on the engagement.
Strong spoken and written communication skills in English.

Skills

Fluent in TypeScript or Python, or able to get there quickly.
Experience building or deploying an LLM-powered system used by real users in production.
Hands-on experience with eval frameworks, agent tooling, RAG, prompt engineering or multi-agent orchestration.
Founder or founding-engineer background.
Forward-deployed, solutions engineering, product engineering or strategic-partner experience at an enterprise software or AI company.
Voice or conversational AI, or contact center, telephony or CCaaS integration.
Experience in regulated industries such as banking, insurance or telecom.

Location

Customer sites (up to 25% travel)

Work Type

Full-time
Onsite (customer sites)
Hybrid

Experience Level

Staff level
8+ years of professional software development
5+ years leading design and architecture

About the Company

Parloa's mission is to make every customer conversation feel effortless for both customers and the companies serving them.
Agentic AI is accelerating, shaping the foundation of a new era in customer experience where customer support is no longer transactions, but meaningful exchanges.
Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers.
Companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploy Parloa at scale.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data, ensuring utmost care, GDPR, and ISO compliance (including ISO 27001) in handling sensitive information.
Parloa is an e-verify employer in the USA.
Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, Parloa is scaling with a clear ambition to become the global category leader in enterprise-grade conversational AI.
Ownership at Parloa means being accountable for outcomes, not just tasks.
Parloa operates in a category that’s evolving fast, where the bar is high, and the problems are complex.
Parloa has kept the intensity of a startup: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Equal Opportunity

We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.