Jobs at Interface AI

Lead finance strategy and execution for a high-growth B2B SaaS company: own planning/forecasting, accounting and revenue recognition, audit readiness, finance systems and data, pricing/revops, treasury and investor relations, vendor/bank-grade diligence, compliance support, internal controls, and build a scalable finance team.

Own a portfolio of strategic credit union and community bank accounts as the primary customer contact. Drive adoption, retention, renewals, and expansion; lead executive business reviews; translate platform metrics into business insights; surface product gaps to Product/Engineering; maintain CRM forecasts and at-risk flags; act as a technically credible AI/product expert.

Drive new business and close deals for Interface.ai's SaaS offerings across full sales cycle using consultative methodologies (Sandler, MEDDIC/MEDDPIC), expand existing accounts, collaborate with cross-functional teams, articulate ROI, meet quotas, and ensure smooth handoffs to Customer Success.

Lead and coach a pod of 3–6 BDRs as a player-coach while carrying your own meetings quota. Build and optimize outbound cadences, automate list segmentation and enrichment, partner with AEs/Marketing/RevOps to refine ICP and SLAs, and present funnel analytics. Hire, onboard, and scale BDR playbooks, and build AI SDR flows to accelerate pipeline.

Own full employee lifecycle and US HR operations for the San Francisco office: onboarding, compliance, benefits, HRBP partnership, office strategy, vendor/facilities management, culture programming, and building scalable HR systems as the first US HR Ops hire.

Own end-to-end delivery of interface.ai's AI platform for credit unions and community banks: build detailed project plans, coordinate internal teams and external vendors, manage integrations and telephony, run executive status meetings, mitigate risks, ensure testing/training for go-live, and improve implementation playbooks.

Own the technical win for enterprise deals: lead technical discovery, build tailored demos and POCs, present architecture/integration/ROI to technical and business buyers, co-own competitive strategy, maintain demo environments, support migrations, and feed product/engineering with deal intelligence.

Own a product domain end-to-end at an AI-native fintech: set direction and roadmap under ambiguity, partner with the Chief Engineer to deliver measurable outcomes, maintain quality and capabilities, and use AI daily to prototype and accelerate product work. Drive product-market fit, packaging, and outcomes for platform- and consumer-facing AI agent products.

Own end-to-end solution design and integrations for strategic enterprise accounts, connecting interface.ai's platform to core banking, telephony, and contact center systems. Serve as primary technical contact, deliver architecture blueprints and integration specs, lead production issue resolution, support pre-sales discovery, and produce reusable integration assets while feeding product and engineering with structured feedback.

Lead creation and growth of fintech ecosystem integration partnerships for credit unions and community banks. Develop joint GTM strategies, manage partner portfolio, drive technical and commercial integrations, collaborate with internal sales on pipeline and co-selling, represent the company at industry events, and lead partner negotiations and long-term strategic alignment.

Lead and scale new-business revenue for interface.ai: own pipeline, forecasting, deal velocity, playbooks, hiring and coaching of sales teams, close strategic C-level deals, align GTM with Product/Marketing/Customer Success, and represent the company at industry events to grow adoption in credit unions and community banks.

Lead as the first in-house attorney, negotiate commercial and data-processing agreements, run privacy/AI compliance (GDPR/CCPA), advise on employment and corporate governance, manage outside counsel, support financings and board governance.

Lead the AI platform that enables all products: define runtime/orchestration, platform contracts, model lifecycle, inference performance, safety/compliance, evaluation, and voice/multimodal integration. Set technical direction, mentor PMs, partner with engineering to scale to millions, and prioritize platform investments while enforcing governance and reliability.

Lead go-to-market strategy for product lines: craft positioning and messaging, run product launches, create technical content and enablement for revenue teams, drive competitive intelligence and demand generation, measure launch/adoption metrics, and represent the product externally to inform roadmap.

Conduct high-volume outbound prospecting to identify and qualify prospects at credit unions and community banks. Research accounts, personalize outreach, qualify inbound leads, maintain CRM records (Salesforce/HubSpot), collaborate with AEs on territory strategy, and hit weekly/monthly activity and pipeline targets while contributing to process and playbook improvements.

Build and own an internal AI-powered recruiting pipeline: end-to-end LLM-based sourcing, screening, AI interviews, evaluation logic, and deep integrations with ATS and scheduling to automate hiring workflows.

Lead and build an end-to-end domain: design architecture, write production code, set technical bar, mentor engineers, and deliver high-impact AI products (agents, runtimes, integrations) in a San Francisco onsite role.

Lead the platform-engineering organization owning agent runtime, LLM orchestration, retrieval, integrations, data & fraud, agent-authoring, and cross-pillar infrastructure. Hire and scale the platform team, set reliability and quality standards, build tooling and eval gates, manage observability and incident response, and remain hands-on in architecture and code (TypeScript/Python). Partner with CTO and CEO to drive platform strategy and execution.

Senior individual-contributor who architects and builds an end-to-end domain: hands-on coding, setting technical standards, leading engineers, partnering with a Domain PM, and shipping production AI systems (agents, retrieval, runtime, integrations, and data platforms) at scale in a fast fintech startup.

Lead and scale the product-facing engineering organization for consumer fintech products. Hire and grow teams, drive architecture and code quality, embed AI-native tooling and practices, and ship member-facing voice/chat/BankGPT experiences while remaining hands-on in technical reviews and architecture.