Director - Product Management

We are looking for a highly experienced and technically strong AI Engineering Manager to lead and mentor a team of Machine Learning and AI Engineers. This role will drive the execution, delivery, and operational excellence of enterprise AI/ML products and platforms within the Life Insurance and Financial Services sector.

The role operates primarily in a GCP cloud environment and requires bridging architectural design with hands-on engineering execution. The candidate will manage engineering workloads, guide technical decisions, ensure high code quality, and drive project timelines for enterprise-grade AI solutions.

Key Responsibilities

Team Leadership & Project Management

• Own end-to-end delivery of AI/ML projects including sprint planning, backlog grooming, workload management, and resource allocation.
• Provide technical guidance and mentorship to AI/ML engineers, including code reviews and best practices for MLOps, software engineering, and cloud infrastructure.
• Act as the primary technical point of contact for product managers, architects, and business stakeholders.
• Define and enforce engineering standards for development, testing, CI/CD, and monitoring of AI services.
• Recruit, onboard, mentor, and conduct performance reviews for the AI engineering team.
• Collaborate with Data Engineering, DevOps, and other teams to integrate AI models into enterprise systems and data pipelines.
• Identify and manage technical risks, dependencies, and delivery blockers to maintain project velocity.

Technical Delivery

• Implement and operationalize MLOps pipelines for model training, versioning, deployment, monitoring, and explainability.
• Guide teams in leveraging AI platform capabilities such as RAG pipelines, LLM gateways, and vector databases to build business use cases.
• Ensure security, scalability, and performance of production AI services and underlying cloud infrastructure.

Must-Have Skills & Requirements

• 8+ years of experience in Software Engineering, Machine Learning Engineering, or Data Science.
• Minimum 3+ years in a team management or leadership role.
• Proven experience managing and mentoring engineering teams.
• Strong experience with project management methodologies (Scrum/Kanban) and tools such as Jira.
• Hands-on experience with production-scale MLOps and GenAIOps implementations.
• Deep expertise in cloud platforms, preferably GCP.
• Strong understanding of modern data architecture including vector databases, data warehousing, and ETL/ELT pipelines.
• Solid software engineering fundamentals including API design, system architecture, Git, and CI/CD or DevSecOps pipelines.
• Experience with GenAI technologies such as LLM orchestration frameworks, prompt engineering, and RAG architectures.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Good-to-Have / Preferred Skills

• Experience managing distributed or multi-geographical engineering teams.
• Knowledge of regulatory requirements within the BFSI or insurance domain (data privacy, Responsible AI).
• Azure cloud or multi-cloud project experience.
• Experience with streaming data platforms and real-time AI processing.
• Cloud certifications such as GCP Professional Cloud Architect or ML Engineer.

We are looking for an Online Bidder/BDE who is proficient in International Business Development and client generation with quality projection selection and bidding.

About Company:

Company is an open-source, low code software that helps developers build applications quickly, usually within only hours. Since being introduced less than two years ago, Appsmith’s open source software has more than 10 million downloads, more than 18,000 stars (up 12x since 2021) on Github and is used at over 10,000 organizations across 150 countries. We are a global and fully remote organization, excited to welcome new teammates to our collaborative environment and high-performance culture.

See our GitHub repo here: https://github.com/appsmithorg/appsmith

Company has raised $51.5 mn in funding. Company Vision We believe every organization should have the ability to develop high performing internal applications quickly and cost-effectively. Every enterprise needs to create custom internal applications, spending between 10% to 40% of their engineering resources on them. Yet they often take a backseat to customer-facing applications because they are challenging, expensive and slow to build. Appsmith is already enabling software engineers to transform how they build internal apps, often building them 10 times faster with Appsmith. In the future we’re building, custom software developed for internal users will look and work no differently than the best out-of-the-box SAAS products. Internal users will demand great UX, great customer support, and great reliability from their in-house development teams because Appsmith has made it quick and painless for developers to build, deploy and maintain custom software. What do we value? Above all, we value a growth mindset. As a team of learners, we read, talk to people and listen to feedback constantly. We love working with people who have strong opinions, weakly held. Self starters and ambitious people form the backbone of our team. Do you want to work on bigger projects? Are you comfortable setting large goals and then accomplishing them? We value consistency and reliability. For example, sticking to committed deadlines, showing up on time etc. We believe that predictability makes teams run a lot smoother. It’s the little things that matter. Attention to detail shows that we empathize with our users, our colleagues and anyone else that we interact with. Are you a practical optimist? Our founding team strongly believes in a better future. We believe in playing our part to make that future a reality. What will you be doing? The history of software is the history of teams. And the history of teams is the history of leaders. As an Engineering Manager, you will lead a team(s) of engineers focused on solving challenging product problems. You will take charge of the team’s outcomes by building robust engineering processes and inculcating a culture of ownership and accountability within the team. As a leader you will play a key role in bridging communication between various functions such as engineering, product, design and QA. This will help your team release high quality features on-time.

Must Have Skills

● You should have prior experience in leading SaaS product teams in startups. This will help you ramp up and build context within the team easily.

● Teams with predictable schedules and clear directions tend to move faster. You should have managed projects before and be comfortable creating product and feature roadmaps.

● It takes an engineer to understand an engineer. You should (until recently) have been an active developer.

Communication is the key to success. You should be able to convey your ideas to engineers and non-engineers alike with ease and clarity.

● As a leader, it’s imperative that you understand what the team is working on. A strong grasp over the fundamentals of APIs, web backends and browser frameworks will hold you in good stead. Nice to Have Skills

● Past experience in building and scaling teams distributed across time zones and geographies is a bonus.

● Contributions in other open source communities will help you assimilate and enhance Appsmith’s global community.

● Have you worn a founder’s hat before? If yes, we’d love to hear all about your story.

Remote working: Company is a fully distributed and remote team. Diversity and Inclusion: Company has dedicated to maintaining a diverse team and an inclusive work environment because our success depends on it. We welcome all people to apply for roles with company especially women and other disadvantaged populations and we appreciate non-traditional career paths. What is the recruitment process? As a small team, it’s imperative that all of us get to know each other before taking the leap. We want to ensure you succeed in your role within our team. Each conversation (video conference) with us will last about 60 mins. Typically the whole process takes between 2 - 10 business days depending on your and our schedules. Introductory call: This call will help us get to know you better. We want to understand your career aspirations and your story. We will also introduce Appsmith's vision and product to you. If you find our product vision interesting exciting, we will move to the next steps. Technical conversation I: This is a video call with one of our leaders that allows for a deeper technical conversation. We will delve deeper into your professional background and talk about your technical prowess, past projects and leadership style. Technical conversation II: Another round of video interview with a founder on the team that will focus heavily on your project management experience. Expect to discuss strategies for handling real-world scenarios that occur in teams. Culture fit conversation: Conversation with the founders and quick meetings with our team members to ensure that there is a culture-fit. Extending an offer: If all goes well, we will extend an offer which includes financial benefits, equity stock grants and any other benefits.

Benefits

● Budget to setup your home office

● Medical insurance for self and dependants

● Self-education budget for books, courses, and conferences

● Flexible holiday schedule

● Paid Maternity and Paternity leave