VP Engineering (Potential Unicorn) at SimpliFin · Bengaluru (Bangalore) · 6 - 14 years · ₹20L - ₹50L / yr (ESOP available) · Raised funding · Posted 17 Aug 2023

We are looking for a passionate technologist with experience in building SaaS tech experience and products for a once-in-a-lifetime opportunity to lead Engineering for an AI powered Financial Operations platform to seamlessly monitor, optimize, reconcile and forecast cashflow with ease.
Background
An incredible rare opportunity for a VP Engineering to join a top tier incubated VC SaaS startup and outstanding management team. Product is currently in the build stage with a solid design partners pipeline of ~$250K and soon raising a pre-seed/seed round with marquee investors.
Responsibilities
- Develop and implement the company's technical strategy and roadmap, ensuring that it aligns with the overall business objectives and is scalable, reliable, and secure.
- Manage and optimize the company's technical resources, including staffing, software, hardware, and infrastructure, to ensure that they are being used effectively and efficiently.
- Work with the founding team and other executives to identify opportunities for innovation and new technology solutions, and evaluate the feasibility and impact of these solutions on the business.
- Lead the engineering function in developing and deploying high-quality software products and solutions, ensuring that they meet or exceed customer requirements and industry standards.
- Analyze and evaluate technical data and metrics, identifying areas for improvement and implementing changes to drive efficiency and effectiveness.
- Ensure that the company is in compliance with all legal and regulatory requirements, including data privacy and security regulations.
Eligibility criteria:
- 6+ years of experience in developing scalable SaaS products.
- Strong technical background with 6+ years of experience with a strong focus on SaaS, AI, and finance software.
- Prior experience in leadership roles.
- Entrepreneurial mindset, with a strong desire to innovate and grow a startup from the ground up.
Perks:
- Vested Equity.
- Ownership in the company.
- Build alongside passionate and smart individuals.

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About the role
You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.
Reports to: CEO · Location: Bengaluru, India — hybrid, 3 days a week in office
What you will do
Technology & product leadership
- Define and drive the technology vision, architecture and long-term platform roadmap.
- Oversee the architecture, design and delivery of highly scalable enterprise systems.
- Ensure engineering excellence, velocity and reliability across the product lifecycle.
Engineering & platform management
- Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.
- Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.
- Oversee operational effectiveness, including uptime, production reliability and cost optimisation.
Innovation & AI strategy
- Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.
- Own the GenAI/LLM solutions architecture.
- Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.
- Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.
- Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.
Technical leadership
- A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
- Collaborate with executive leadership on business strategy, client requirements and product delivery.
- Build, mentor and scale high-performing engineering teams with a growth mindset.
- Establish a strong technology culture grounded in ownership, innovation and continuous learning.
What success looks like
- Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
- Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
- Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.
Qualifications & experience
- Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
- A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
- Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
- Proven leadership in defining and executing technology strategy and platform roadmaps.
- Extensive cloud-native engineering experience with Azure, AWS and GCP.
Technical expertise
- Strong full-stack engineering background (Java, Python, JavaScript frameworks).
- Expertise with JS frameworks such as React, Angular and Node.js.
- Experience building and scaling distributed systems and microservices.
- Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
- Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).
Behavioural & leadership competencies
- Product and delivery management expertise, end to end, including delivery and customer support.
- Excellent communication, with the ability to influence executive stakeholders.
- High technical proficiency combined with strong business acumen.
- Strong analytical and decision-making skills.
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