Chief Technology Officer

Join to apply for the

Chief Technology Officer

role at

interface.ai

Banking is being reimagined—and customers expect every interaction to be

easy, personal, and instant . We are building a

universal banking assistant

that millions of U.S. consumers can use to transact across all financial institutions and, over time,

autonomously drive their financial goals . Powered by our proprietary

BankGPT platform , this assistant is positioned to

displace age-old legacy systems

within financial institutions and

own the end-to-end CX stack ,

unlocking a $200B opportunity

and potentially

replacing multiple publicly traded companies . Ultimately,

our mission is to drive financial well-being

for millions of consumers.

With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate,

we aim to

put financial well-being on autopilot

to help solve this problem.

About the Role

We're hiring a

Chief Technology Officer

to lead the next chapter of our platform—taking us from

high growth to durable scale . You'll be a strategic partner to the CEO and a hands-on systems thinker who combines architectural depth with operational excellence. Your mandate : translate vision into

reliable, secure, efficient products , build a

high‑performing global organization , and establish the operating rhythm that delivers innovation with

governance, predictability, and measurable impact .

What will get you excited on day one

Scale an AI platform across channels :

Advance multi‑tenant, multi‑region architecture and multi‑agent orchestration with strong safety, evaluation, and tooling patterns.

Raise the reliability bar :

Define and enforce SLOs / error budgets, harden release engineering and observability, and ensure resilience (graceful degradation, redundancy, failovers).

Unblock legacy integration :

Expand automation across fragmented / legacy systems (even when APIs are limited) with clear guardrails and auditability.

Governed self‑service at scale :

Build a maker–checker approvals model, environment promotion, versioning / rollbacks, and end‑to‑end analytics (content lineage, experience scoring, knowledge‑gap detection) so customers can move fast with safety and control.

Make outcomes measurable :

Tie reliability, performance, and unit economics to business results (CSAT, containment, NRR, ARR realization) with exec‑ready dashboards.

Level‑up the operating system :

Institutionalize delivery governance, reduce time‑to‑value, manage technical debt, and drive cost / performance (incl. FinOps).

Build leaders, not just teams :

Coach a strong leadership bench across Engineering, AI, DevOps, and Security; design org structures for scale across US and India.

Partner across the business :

Work closely with Product, CS, Security, and GTM to align roadmaps with customer value, compliance, and faster go‑to‑market.

What You Will Do

Technology Strategy & Transformation

Define and operationalize a multi‑year technology roadmap that translates product vision into scalable, compliant, and secure execution.

Architect a multi‑tenant, extensible AI platform capable of supporting high concurrency, faster deployments, and continuous innovation.

Establish clear architectural guardrails, ensuring performance, cost efficiency, and regulatory alignment.

Build foundations in data governance, observability, and compliance telemetry, enabling proactive risk management and audit readiness.

Partner with Product, Security, and Customer Success to align technology evolution with customer value and platform reliability.

Lead cloud‑native architecture and stack modernization

to improve resiliency, performance, and cost efficiency.

Own the data platform & MLOps strategy , including feature stores, model observability, drift detection / rollback, and CI / CD for models.

Advance customer‑facing AI (CX / AI) capabilities

with Product & Customer Success to drive measurable customer outcomes.

Governed self‑service at scale :

Advance a governed self‑service framework—maker–checker approvals, environment promotion, versioning / rollbacks—plus end‑to‑end analytics (content lineage / traceability, experience scoring, knowledge‑gap detection) so customers can move fast with safety, auditability, and control.

Engineering Execution & Delivery Governance

Lead a globally distributed engineering and AI organization to deliver with predictability, quality, and velocity.

Institutionalize delivery governance frameworks—milestone tracking, release cadence, postmortem reviews, and SLA adherence.

Build a KPI‑driven operating model, using data to drive accountability, efficiency, and continuous improvement.

Improve deployment agility while maintaining rigor in change management, release validation, and cost optimization.

Define baseline SLOs / SLAs and build operational dashboards with real‑time visibility into reliability, cost, and delivery KPIs.

Ensure tight interlock between Engineering, Product, and GTM for faster go‑to‑market execution.

Platform Reliability, Security & Compliance

Embed security, privacy, and reliability by design into every layer of the platform.

Maintain alignment with SOC 2 Type II, ISO 27001, and FFIEC frameworks through proactive observability and compliance automation.

Champion resilience, disaster recovery, and business continuity planning across global deployments.

Drive audit readiness and platform reliability metrics as core measures of success.

AI Platform Evolution & Innovation

Guide the next phase of AI platform evolution, ensuring scalability, maintainability, and responsible deployment of generative and agentic AI capabilities.

Strengthen the feedback loop between R&D and production, accelerating time‑to‑market while maintaining model safety and governance.

Evolve architecture to support multi‑agent orchestration, context persistence, and real‑time learning across customer environments.

Leadership & Organizational Scale

Build and mentor a high‑performing leadership bench across engineering, AI, DevOps, and security.

Drive cultural alignment around clarity, ownership, and measurable outcomes.

Establish an operating rhythm that balances innovation velocity with delivery consistency and stakeholder transparency.

Lead change management across people, process, and technology

to embed governance and operating rigor at scale.

Represent technology to investors, customers, and partners—articulating how platform evolution drives value creation and defensibility.

What You Bring

15+ years

of leadership experience scaling technology organizations through rapid growth—Series B→D, $10M → $100M ARR, and 50 → 200+ team expansions.

Deep operational expertise leading a global engineering organization, including India‑based centers of excellence.

Proven success implementing process rigor, performance measurement, and delivery governance across multi‑product SaaS environments.

Demonstrated ability to align funding, growth, and talent scaling across investment stages—balancing execution velocity with organizational stability.

Strategic understanding of FI, B2B2C, and Fintech ecosystems, with strong working knowledge of data privacy, compliance, and enterprise scalability dynamics.

Track record of navigating inflection points—fundraising, acquisitions, restructures, and platform migrations—while maintaining culture and stakeholder confidence.

Hands‑on leadership in cloud‑native architecture, stack modernization, and data platform / MLOps in multi‑product SaaS.

Proven change‑management track record (people + tech) driving adoption of new operating models across global teams.

Board‑facing and investor‑savvy

communicator, capable of translating engineering performance into business impact and investor narratives.

Why this opportunity is rare

Category‑defining canvas : Lead the architecture of an agentic AI layer built for regulated banking.

Real scale, real stakes : Millions of monthly interactions and outcome‑tied engagements—your decisions move industry metrics.

Own the platform end‑to‑end : Infra, safety, tooling, telemetry—plus SLOs / error budgets, deep observability, and governed self‑service (maker–checker, promotion, versioning / rollbacks).

Trust by design : SOC2, ISO 27001, FFIEC, explainability, and change management are first‑class.

Founder‑level impact : Partner with the CEO, lead a US & India org, and set the technical standard for community banking AI.

Why now?

Timing : Agentic AI demand from FIs is surging—the market is choosing platforms, not point solutions to replace legacy IVR and fragmented chat.

Unify the surface area : A single AI layer across customer and employee experiences unlocks faster innovation and measurable outcomes.

Momentum to build fast : Strong customer base and pipeline, with compliance foundations in place—ship ambitiously, deploy at scale, and tie results to CSAT, containment, NRR / ARR.

What We Offer

100% paid health, dental & vision care

401(k) match & financial wellness perks

Discretionary PTO + paid parental leave

Remote‑first flexibility

Mental health, wellness & family benefits

A mission‑driven team shaping the future of banking

The opportunity to build and scale a world‑class technology organization at the intersection of AI and financial services.

At interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

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