VP of Engineering, Applications

BjakBjak·Remote(United Kingdom)
Software Development
Excel

WFA Digital Insight

The demand for skilled engineering leaders in AI-powered products has surged, with over 25% of companies investing in AI development. Bjak's proactive AI smart assistant is at the forefront of this trend. To succeed in this role, candidates need strong technical expertise, particularly in Excel, and experience in delivering AI-powered products. With the remote job market booming, this is an opportunity to join a high-talent density team and make a significant impact. Before applying, candidates should be prepared to demonstrate their technical skills and ability to lead cross-functional teams.

Job Description

About the Role

As the VP of Engineering, Applications at Bjak, you will be responsible for leading the application engineering strategy and execution across backend, mobile, and desktop platforms. This role is critical in turning intelligence into a real product, making hard technical decisions, and holding a high bar for quality and delivery. You will be working closely with a small, senior applications team, including backend, mobile, and desktop engineers, to set the architectural direction for AI-powered product workflows, APIs, and client integrations.

The company is building a proactive AI smart assistant for everyday users, focusing on achieving high reliability for long-running workflows, persistent context, and real-world task completion. As the leader of the application engineering team, you will be responsible for ensuring that AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes.

What You Will Do

  • Own the application engineering strategy and execution across backend, mobile, and desktop
  • Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers
  • Set the architectural direction for AI-powered product workflows, APIs, and client integrations
  • Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes
  • Partner closely with Machine Learning leadership to translate model capability into shippable product features
  • Make high-impact decisions across latency, cost, reliability, security, and user experience
  • Establish clear ownership boundaries across backend, mobile, and desktop to prevent architectural drift
  • Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls
  • Balance speed and discipline – shipping quickly without compromising long-term system quality
  • Collaborate with cross-functional teams to deliver AI-powered products

What We Are Looking For

  • Significant experience leading application or product engineering for complex systems
  • Strong hands-on background building and shipping backend systems used in production
  • Experience delivering AI-powered products, with a deep understanding of model integration trade-offs
  • Excellent system design skills across services, APIs, clients, and data flows
  • Comfort operating across platforms (backend, mobile, desktop), even if your depth is in one
  • Proven ability to make high-impact technical decisions under ambiguity
  • A strong bias toward shipping, iteration, and learning from real-world usage
  • Low ego, strong judgment, and the ability to raise the technical bar for the entire applications organization
  • Experience with Excel and other relevant tools

Nice to Have

  • Experience working with proactive AI smart assistants
  • Knowledge of machine learning models and their integration into products
  • Familiarity with cloud-based infrastructure and deployment
  • Experience with agile development methodologies

Benefits and Perks

  • Opportunity to work on a cutting-edge AI-powered product
  • Collaborative and dynamic work environment
  • Professional development and growth opportunities
  • Competitive compensation and benefits package
  • Flexible working hours and remote work options
  • Access to the latest tools and technologies
  • Recognition and reward for outstanding performance

How to Stand Out

  • Tip: Showcase your experience in delivering AI-powered products and highlight your understanding of model integration trade-offs.
  • Be prepared to demonstrate your technical skills, particularly in Excel, and your ability to lead cross-functional teams.
  • Highlight your ability to make high-impact technical decisions under ambiguity and your strong judgment.
  • Tip: Research the company's products and services, and be prepared to discuss how you can contribute to their development.
  • Be ready to provide specific examples of your experience in system design, APIs, and data flows.
  • Tip: Emphasize your ability to balance speed and discipline, shipping quickly without compromising long-term system quality.

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