Jobs at Nanonets

Partner with startup customers to deploy and scale Nanonets AI solutions: translate requirements into PRDs and workflows, scope and prioritize work with Product and Engineering, manage backlogs and timelines, validate end-to-end workflows, and deliver prototypes and production deployments while providing model and product feedback.

Support sales by analyzing technical feasibility, building ML demos on the Nanonets platform using customer data, integrating APIs, joining sales calls, proposing solutions, automating internal workflows, and assisting with minor feature development and bug fixes.

Own full sales cycle for mid-market accounts: prospect, qualify inbound leads, run value-based multi-stakeholder deals, negotiate and close, maintain client relationships, build pipeline, and use CRM for disciplined forecasting.

The SAP Partnership Manager will establish and manage partnerships with SAP and systems integrators, driving partner-sourced revenue and enabling growth through strategic collaborations while ensuring deep engagement and cross-functional collaboration with sales and product teams.

Own and grow a book of enterprise SaaS accounts, driving expansion ARR, renewals, and net revenue retention. Partner with CSMs, Solutions, and Product to identify upsell opportunities, run commercial negotiations, build executive relationships, and track pipeline and renewal metrics.

Manage workflow health and adoption for assigned enterprise accounts. Monitor usage, resolve escalations, run operational cadences, document requirements for Product/Engineering, lead testing and communications, and support expansion efforts with Account Managers.

Contract Project Manager to support engagement management for customer onboarding and implementations. Manage timelines, task boards, status reporting, run status calls, document action items, coordinate cross-functional teams, identify and mitigate risks, and maintain project documentation for multiple concurrent SaaS engagements over a 3-month contract.

The Enterprise Account Executive will manage high-value sales with Fortune 1000 clients, navigating complex procurement and building relationships with C-suite executives to drive strategic platform deployments.

Provide in-house legal counsel for SaaS and software contracts, IP, data privacy (GDPR, CCPA, HIPAA), and corporate governance. Draft, review, and negotiate commercial agreements, support international compliance, develop compliance programs and training, maintain compliance trackers, and advise on M&A and regulatory matters.

The Engagement Manager will oversee post-sale customer journeys, ensuring satisfaction through relationship management and project coordination. Responsibilities include stakeholder engagement, project delivery, and advocating for customer feedback to improve outcomes.

The Product Analyst will manage company metrics, define measurable outcomes, support hypothesis-driven development, and collaborate with product teams on data-driven decisions.

Own post-sale customer relationships and delivery for SaaS implementations. Drive adoption, translate requirements into technical documentation, prioritize backlogs, coordinate product and engineering, manage risks/escalations, and surface customer feedback to support renewals and expansions.

The AI Solutions Engineer will collaborate on technical feasibility, prepare technical demos, analyze customer needs, automate processes, and support minor software development.

Owner of post-sale operational success for enterprise accounts: drive adoption, monitor usage, run working-level meetings, surface expansion/risks, coordinate with account managers and engineering, and ensure renewal health through proactive account management and operational partnership.

The Technical Engagement Manager ensures customer satisfaction post-implementation by managing relationships, driving adoption, and liaising with internal teams for project management.

This role involves generating new leads, conducting initial sales discovery calls, and qualifying leads for the Sales team by utilizing outbound strategies and following up on marketing leads.

As a Senior Fullstack Engineer, you'll architect and develop backend features, optimize performance, and enhance workflows using Golang and React, among other technologies.