Job Description

Job description

Acuity Analytics (the trading name of Acuity Knowledge Partners) is a global, tech-first organization helping financial institutions and corporates make better decisions through research, data, analytics and AI-enabled solutions. We combine deep financial services expertise with strong engineering, digital and AI capabilities to solve complex, real-world problems.

With a team of 7,200+ analysts, data specialists and technologists across 28 locations, we work with more than 800 organizations worldwide to drive efficiency, unlock insight and deliver measurable impact. Our success is built on the strength of our people—by investing in talent, encouraging collaboration and creating room to grow, we enable our teams to do their best work for clients.

Acuity became an independent business in 2019 following its acquisition from Moody’s Corporation by Equistone Partners Europe. In 2023, funds advised by global private equity firm Permira acquired a majority stake, with Equistone remaining a minority investor—supporting our continued growth and innovation.

For more information, visit www.acuityanalytics.com

Basic information

Position Title

Technical Product Manager

Experience Level

Mid to Senior

Department

ASL

Location

Bangalore

Organizational relationships

Job purpose

We are looking for a Technical Product Manager with 10 - 15 years of experience in Private Markets domain with AI, particularly in Generative AI projects, and a proven track record of building platform-level applications including SaaS products. The ideal candidate will have a deep understanding of the financial services sector and a passion for driving innovation through technology

Key responsibilities

- Key Responsibilities:

- Lead the development and execution of AI-driven Private Markets product strategies, with a focus on Generative AI projects.

- Oversee the design, development, and deployment of platform-level applications that support our financial services offerings.

- Collaborate with cross-functional teams, including engineering, data science, and business stakeholders, to define product requirements and roadmaps.





- Ensure the successful delivery of products by managing timelines, resources, and budgets.

- Conduct market research and competitive analysis to identify opportunities for product innovation and improvement.

- Drive the adoption of best practices in AI and platform development within the team.

- Communicate product vision, strategy, and progress to senior management and other stakeholders.

- Qualifications:

- Bachelor's or master’s degree in computer science, Engineering, or a related field.

- 6+ years of experience in AI, with a focus on Generative AI projects.

- Proven experience in building and managing platform-level applications.

- Solid understanding of the financial services sector and its technological needs.

- Excellent project management skills, with the ability to prioritize and manage multiple tasks simultaneously.

- Strong analytical and problem-solving skills.

- Excellent communication and interpersonal skills.

- Ability to work effectively in a fast-paced, collaborative environment.

- Preferred Qualifications:

- Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud).

- Knowledge of machine learning frameworks and tools (e.g., TensorFlow, PyTorch).

- Familiarity with regulatory requirements and compliance in the financial services industry.

Key competencies

- Design, build, and deploy full-stack applications using React (frontend) and Python/Node.js (backend)

- Build and integrate GenAI-powered features (e.g., chat copilots, summarization, extraction, search, automation) into real customer workflows

- Implement Agentic AI systems that can reliably use tools, call APIs, follow workflows, and operate with strong safety/guardrails

- Design systems with a focus on scalability, maintainability, security, and forward compatibility





- Collaborate closely with Product, Data Science and Platform Engineering.

- Own solution delivery end-to-end: architecture, implementation, testing, deployment and monitoring

- Create reusable components, internal tooling, and maintain high-quality technical documentation

Platform & Infrastructure Requirements

- Experience with at least one cloud platform: AWS / Azure / GCP

- Familiarity with containerization and orchestration: Docker, Kubernetes (or ECS, Cloud Run, etc.)

- Understanding of production-grade monitoring/logging (CloudWatch, Datadog, Prometheus, Grafana, etc.)

- Experience with databases and data pipelines: SQL/NoSQL, streaming/ETL, analytics tooling

- Experience optimizing AI systems for latency, throughput, and cost efficiency in production

- Exposure to AI system observability: tracing prompts, token usage, model outputs, evaluation metrics, feedback loops

Prior customer-facing experience in consulting/solutions engineering or enterprise implementations

Startup or fast-paced product environment experience

Strong ownership mindset: implementation adoption scale long-term success

Experience designing secure architectures aligned to data privacy, compliance, and governance standards

Acuity Analytics has earned several prestigious industry recognitions, including Great Place to Work® certifications in India and Costa Rica, AVTAR Best Companies for Women in India, the AVTAR Most Inclusive Companies Index, and silver accreditation in the Workplace Equality Index. These accolades reflect our commitment to building an inclusive, supportive and high-performance workplace for our people. Learn more here.

Follow us on social media to stay updated with Acuity Analytics news

l LinkedIn: https://www.linkedin.com/company/acuityanalytics/

l Facebook: https://facebook.com/AcuityAnalytics/

l Twitter: https://x.com/acuityanalytic?s=21

l YouTube: https://www.youtube.com/@AcuityAnalytics

Job Snapshot

Job ID

JOB_8276

Division

BEAT

Location

ETV -SEZ1, Bengaluru, Karnataka, India

Experience

10 - 15 Years

Personnel Type

Permanent

📌 Technical Product Manager (India)
🏢 Acuity Knowledge Partners
📍 India