Top Tech Jobs & Startup Jobs

Owns product discovery, prioritization, scoping, delivery, and outcome measurement for AI-powered tools used by lawyers and accountants. The role may focus on answer experiences, integrations, workflows, or scale and self-service. Responsibilities include user research, analyzing feedback and usage data, making product trade-offs, collaborating with engineering and leadership, and improving adoption and impact.

Own product areas for an AI research platform serving lawyers and accountants. Identify opportunities through user research, customer feedback, usage data, and business priorities; define and prioritize initiatives; make product trade-offs; collaborate with engineering, leadership, and founders; and measure outcomes after release. The role requires legal or accounting practice or professional research experience, strong analytical and writing skills, AI interest, and permanent New Zealand work authorization. It is full-time and in-office in Auckland.

Own the strategy, roadmap, outcomes, and product craft for a major area of an AI research platform serving legal and accounting firms. Conduct user discovery, analyze usage and business data, make prioritization decisions, define metrics, collaborate directly with founders, and mentor the product team. Potential ownership areas include answer experience, integrations, workflow, scale, self-serve, and international market expansion.

Own the go-to-market data layer by building prospecting and enrichment pipelines, maintaining CRM data quality, integrating sales and marketing tools, and automating workflows with scripts, APIs, and automation platforms. Query warehouse and BI data for pipeline and attribution reporting, ensure privacy compliance, document systems, and train users. The role partners closely with sales, marketing, and account teams in a B2B SaaS environment.

Work directly with the CEO to convert company vision into executable plans, establish owners and deadlines, run the operating rhythm, lead high-impact cross-functional projects, stand up new functions, remove blockers, and protect founder focus. The role requires strong prioritization, clear communication, rapid execution, sound judgment, and ownership in a fast-growing venture-backed company.

Own backend-heavy full-stack product surfaces from architecture through production operations. Responsibilities include building AI-powered answer experiences, identity and billing systems, public APIs, integrations, and workflow tools. The role requires partnering with product, making technical trade-offs, operating services, monitoring performance, responding to incidents, and continuously improving systems used by tax and law firms.

Own backend-heavy full-stack product surfaces from architecture through production operation. Responsibilities include building AI answer experiences, identity and billing systems, public APIs, integrations, and workflow tools. The role requires close product collaboration, end-to-end ownership, observability, performance optimization, incident response, and iterative improvement based on real usage. Engineers use Node.js, PostgreSQL, AWS, Terraform, React, and related tooling in an AI-native, asynchronous environment.

Lead end-to-end hiring across New Zealand, Australia, the UK, and the USA. Define role profiles, source candidates, run structured assessments, manage references and offers, build interview scorecards and loops, strengthen employer branding, and create scalable recruiting systems. Partner closely with senior leaders and team leads while maintaining a high hiring bar in a fast-growing, in-person Auckland-based company.

Contact law and accounting firms, engage decision-makers, and book qualified meetings for the sales team. The role involves following daily calling and follow-up routines, maintaining accurate records, learning the company’s AI products and ideal customer profiles, and continuously improving outreach. Training, coaching, call reviews, and live feedback are provided. This is a full-time, in-office position based in Auckland Central.

Own the go-to-market data layer by building prospecting, enrichment, and automation pipelines; maintaining CRM quality and integrations; querying warehouse and BI data; and improving reporting, attribution, and workflow reliability. The role requires hands-on work with scraping, enrichment tools, APIs, Python or JavaScript, SQL, automation platforms, LLMs, and CRM administration. It also involves documenting systems, supporting compliance, and training sales and marketing users.