About the Company

Our client is a leading liquidity and technology provider specializing in the crypto and foreign exchange (FX) industries. With over 10 years of experience, they deliver advanced B2B tech solutions that empower brokers and financial institutions to scale faster while minimizing infrastructure costs. Their clients include licensed brokers, crypto exchanges, hedge funds, and asset managers globally.

Responsibilities

Engineering Leadership

• Own delivery and performance across 5 SaaS products (300 engineers).

• Manage and pressure CTOs, Engineering Managers, and Dev leads.

• Set engineering velocity, quality, and uptime standards.

• Review and triage incidents; enforce accountability and postmortems.

 • Direct hiring, promotions, performance reviews, and exits.

AI Transformation

• Double engineering output by shifting to AI-driven processes.

• Systematically adopt LLMs (Codex, ChatGPT, Claude, Cursor, OpenRouter, etc) across:

1. Requirements engineering;
2. Documentation & design;
3. Code generation & review;
4. Testing, QA, CI/CD, and monitoring.

• Partner with the platform team to optimize internal AI toolchains (OpenWebUI, RAG, LLM gateways).

SaaS Automation Delivery

• Partner with the Head of SAAS and the Salesforce transformation vendor to:

1. Build automated pricing, CPQ, and billing (Salesforce Revenue Cloud);
2. Enable contract automation, payments, and provisioning;
3. Connect onboarding into Jira, Slack, Zendesk, Marketing, Legal & Finance workflows.

• Define and own subscription plans, limits, free trials, and usage-based billing.

• Design and enforce pricing, discounting, and provisioning logic.

Executive Collaboration

• Work cross-functionally with:

1. Chief Commercial Officer (sales funnel);
2. Chief Strategy Officer (product roadmap);
3. Chief Client Officer (support & onboarding);
4. Legal, Finance, Marketing, Payments, Professional Services.

Governance & Discipline

• Drive execution across quarterly SAFe 6.0 PI Planning cycles.

• Enforce OKR discipline across teams and products.

• Implement timing + output analytics to ensure real 8-hour workdays.

• Conduct Engineering Council & Product Performance Reviews.

Obliigatory

• 5+ years in engineering leadership (VP or above).

• Built and scaled B2B SaaS products.

• Ran 100+ person engineering teams.

• Owned engineering-to-delivery lifecycle.

• AI-native thinker: fluent in GPT, Claude, coding copilots.

• Fluent English (C2/Native).

Preferably

• Experience in B2B SAAS platforms.

• Strong product instincts.

• Ex-founder or entrepreneurial background.

• Built automation workflows using Salesforce.

• Prior work in AI-enabled DevOps.