VP of Engineering

JOB TITLE : VP of Engineering

LOCATION : Remote

DURATION : Direct Hire

RATE RANGE : $170k - $180k base salary

Position Summary

Our client's SaaS analytics solution helps financial institutions optimize their "online branch". Our customers typically see a +50% increase in online sales within months of turning on our analytics. No similar solution exists today—customers consistently tell us they cannot grow online without our product.

We’re seeking a Vice President of Engineering to lead all aspects of developing, operating, and scaling our client's platform. This is both a strategic and hands‑on role—you will define our technology roadmap, manage and grow the engineering organization, and personally engage where technical depth or leadership gaps exist. You’ll ensure the AI platform is scalable, reliable, secure, and measurable, backed by robust exception reporting and a structured development and testing process that minimizes operational and performance risk.

Responsibilities

Technical Vision & Strategy

Define and execute the long‑term technical architecture and platform strategy.

Maintain stability and uptime.

Balance short‑term delivery with scalable long‑term design decisions.

Personally fill technical gaps when required—this is both a leadership and a player‑coach role.

Champion adoption of AI‑assisted development workflows.

Engineering Process & Risk Management

Implement a structured software development lifecycle (SDLC) that includes automated testing, code review, continuous integration, and controlled release management.

Establish robust exception reporting, anomaly detection, and performance monitoring to proactively identify and address system risks.

Implement automated diagnostics to detect changes in input data, processing failures, or display layer failures.

Introduce clear quality and reliability metrics—defect density, and end‑user system uptime.

Create a disciplined process for development, testing, and release validation to ensure predictability and quality.

Platform & Architecture Leadership

Oversee the full technical stack : real‑time event data ingestion from client, ad network, and financial systems; aggregated performance reporting and insights delivery.

Ensure cloud infrastructure (AWS and / or GCP) remains secure, cost‑efficient, and observable.

Operational Excellence

Own platform uptime, reliability, and scalability.

Lead incident management, root cause analysis, and structured post‑incident review processes.

Define and manage system KPIs such as latency, throughput, and cost‑performance optimization.

Ensure consistent visibility into platform health through dashboards and real‑time exception alerting.

Security & Compliance

Own Alpharank’s security and compliance posture across all environments.

Implement secure‑by‑design development practices, including encryption, key management, and access controls.

Maintain readiness for SOC 2 and other regulatory frameworks common in financial services.

Partner with customers and external auditors to demonstrate compliance and transparency.

Team Leadership & Culture

Build and scale a high‑performing remote engineering organization.

Recruit, mentor, and develop top engineering talent with a focus on ownership, accountability, and technical excellence.

Set clear expectations for quality, delivery, and communication across teams.

Encourage structured innovation where experimentation is guided by data and automated evaluation frameworks.

Cross‑Functional Collaboration

Work closely with Product to translate business objectives into technical deliverables.

Support Sales and Customer Success with technical insight during enterprise deployments, performance reviews, and troubleshooting.

Qualifications

10+ years of experience in software engineering, including 4+ years leading teams as a Director, Head of Engineering, or VP.

Proven record scaling SaaS or data‑intensive platforms with high reliability, security, and compliance needs.

Hands‑on technical expertise with : Cloud Platforms (AWS : S3, EC2, ECS, Glue, Athena), Data & ML Stack (Python, Pandas, Airflow, model evaluation, optimization, and reinforcement learning).

Monitoring & Observability : Exception reporting, logging frameworks, CI / CD, and metrics (Datadog, CloudWatch, or equivalent).

Deep understanding of SDLC, testing automation, and release governance.

Strong grasp of software and data security principles in regulated industries.

Excellent communicator who bridges technical depth with business clarity.

Experienced in leading remote, distributed engineering teams.

Benefits Summary

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full‑time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.

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