Technical Program Manager (AI/ML)

Desired Competencies (Technical/Behavioral Competency)

Must-Have

Snowflake, DBT , PL/SQL , Azure/AWS Overall Knowledge , Knowledge on DB Modelling , Knowledge on Data Warehouse concepts , Well versed with Agile Delivery, ETL Tools – Informatica/ADF

Good-to-Have

Azure 900/104/204 Certified, Informatica/SSIS/ADF

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Responsibility of / Expectations from the Role

1

Assist in the design and implementation of Snowflake-based analytics solution (data lake and data warehouse) on Azure.

2

Profound experience in designing and developing data integration solutions using ETL tools such as DBT.

3

        Hands-on experience in the implementation of cloud data warehouses using Snowflake & Azure Data Factory

4

Solid MS SQL Server skills including reporting experience.

5

Work closely with product managers and engineers to design, implement, test, and continually improve scalable data solutions and services running on DBT & Snowflake cloud platforms.

6

Implement critical and non-critical system data integration and ingestion fixes for the data platform and environment.

7

Ensuring root cause resolution to identified problems.

8

Monitor and support the Data Solutions jobs and processes to meet the daily SLA.

9

Analyze the current analytics environment and make recommendations for appropriate data warehouse modernization and migration to the cloud.

10

Develop Snowflake deployment (Using Azure DevOPS or similar CI/CD tool) and usage best practices.

11

Follow best practices and standards around data governance, security and privacy.

12

Comfortable working in a fast-paced team environment coordinating multiple projects.

13

Effective software development life cycle management skills and experience with GitHub

14

Leverage tools like Fivetran, DBT, Snowflake, GitHub, to drive ETL, data modeling and analytics.

15

Data transformation and Data Analytics Documentation

The Localization Quality Assurance (QA) Architect is a strategic technical leader responsible for designing, implementing, and evolving robust QA architectures that ensure linguistic quality across the global content lifecycle. Serving as the bridge between business goals, compliance requirements, and technology, the QA Architect translates complex audience insights and regulatory demands into scalable, automated, and data-driven QA systems. This role drives continuous improvement through innovation and stakeholder collaboration, empowering teams to deliver culturally relevant, compliant, and high-quality localized content efficiently.

Business Leadership

Translate audience insights, buyer personas, and market intelligence into precise localization QA requirements that reflect strategic content and product needs.

Collaborate with cross-functional teams including product, engineering, marketing, and content to embed quality gates aligned with overarching product and content roadmaps.

Lead workshops, design sessions, and stakeholder meetings to align QA technical architecture decisions with evolving business goals and customer expectations.

Champion the adoption and integration of emerging QA tools, cutting-edge automation, and AI approaches that improve scalability, operational efficiency, and quality outcomes.

Promote a culture of continuous improvement by leveraging data-driven insights, process optimization, and ongoing team capability development.

Compliance Leadership

Architect and embed compliance frameworks into localization QA systems in full adherence to global privacy, accessibility, and intellectual property standards such as GDPR, PDPA, WCAG, ADA, and IP laws.

Integrate regulatory and contractual requirements seamlessly across all layers of the localization QA pipeline to ensure end-to-end compliance.

Design and implement features such as audit trails, change management controls, and traceability mechanisms to support ongoing regulatory compliance and contract obligations.

Collaborate closely with legal, compliance, and risk teams to tailor solutions addressing jurisdiction-specific complexities including data localization mandates and cross-border data flow restrictions.

Ensure system architectures and workflows comply continuously with export control laws and international content distribution regulations through automated governance rules.

Technical Leadership

Design modular, scalable QA architecture frameworks that support comprehensive lifecycle linguistic quality evaluation, including translation memory (TM) systems, terminology databases, and digital asset management.

Develop and maintain AI-driven linguistic error detection models that combine complex error typologies with configurable, flexible review workflows.

Lead the design and implementation of automated verification modules that assess cultural and contextual adaptation accuracy, ensuring global and localized market alignment.

Build real-time, interactive data analytics dashboards that provide risk assessment, quality forecasting, and KPI visualization capabilities to inform decision-making.

Oversee integration of QA automation platforms and tools into Continuous Integration/Continuous Deployment (CI/CD) pipelines to facilitate seamless delivery workflows.

Document technical architecture decisions comprehensively, and develop detailed operational guidelines, best practices, and training materials for engineering and QA teams.

Mentor and support QA engineers, technical leads, and other stakeholders in deploying, scaling, and advancing technology-enabled QA capabilities.ct compliance with data protection regulations including GDPR, PDPA, content accessibility standards such as WCAG and ADA, and intellectual property laws.

 Maintain thorough documentation and detailed tracking of QA tests, defects, and resolutions to support audit readiness and accountability.

 Escalate any identified compliance, data privacy, or contractual issues during QA processes to senior QA or compliance team members for timely resolution.

 Qualifications -

Bachelor’s or Master’s degree in Computer Science, Linguistics, Localization Engineering, or a related technical field.

 12+ years of experience in localization QA architecture, software engineering, or related roles with a focus on multilingual content quality.

 Strong expertise in designing scalable architectures integrating TM systems, terminology management, QA automation, and AI-based error detection.

 Proven experience with compliance frameworks relating to GDPR, PDPA, WCAG, ADA, intellectual property, and international content laws.

 Hands-on knowledge of automation toolchains, CI/CD pipelines, and data analytics platforms.

 Ability to lead cross-functional technical and business alignment sessions, translate complex requirements into actionable technical designs.

 Excellent documentation, training, and mentoring skills for enabling technical teams and stakeholders.

 Familiarity with emerging technologies in linguistic QA, AI/ML applications, and content lifecycle management within globalized environments.

About Univest

Univest is a fast-growing WealthTech platform building research-first, goal-linked investment solutions for Indian investors. We are scaling our engineering organization to support rapid growth, complex financial workflows, and high-availability systems.

Role Summary

We are looking for a Director of Engineering who will report directly to the CTO and own the end-to-end backend and platform engineering function. This role requires a rare mix of deep hands-on coding expertise and strong people leadership, managing 20–30 engineers across multiple squads.

You will drive architecture, scalability, engineering excellence, and delivery, while remaining deeply involved in complex technical problem-solving.

Key Responsibilities

Technology & Architecture

• Own the backend and platform architecture built primarily on Java, Spring Boot, and GCP
• Design and scale high-performance, low-latency, highly available systems
• Lead decisions around system design, microservices, data flows, security, and reliability
• Solve hard technical problems related to scale, performance, fault tolerance, and cost optimization
• Be a hands-on coder when required (design reviews, critical fixes, POCs)

Engineering Leadership

• Lead and manage 20–30 engineers (Backend, Platform, Infra)
• Mentor Engineering Managers, Tech Leads, and Senior Engineers
• Set engineering standards for code quality, reviews, testing, documentation, and deployment
• Build a culture of ownership, accountability, and engineering excellence

Delivery & Execution

• Drive execution across multiple teams with predictable delivery
• Partner closely with Product, Data, DevOps, and Security
• Balance speed vs stability in a fast-scaling startup environment
• Own roadmap execution, tech debt prioritization, and platform evolution

Org & Process

• Help scale the engineering org structure, hiring bar, and performance management
• Establish and improve engineering processes (Agile/Scrum, OKRs, metrics)
• Act as a thought partner to the CTO on long-term technology strategy

Must Have

• 8+ years of software engineering experience, including people leadership
• Strong expertise in Java & Spring Boot (deep backend fundamentals)
• Hands-on experience with Google Cloud Platform (GCP)
• Proven experience building and scaling production systems at scale
• Experience managing large teams (20+ engineers) or multiple squads
• Strong system design skills (distributed systems, microservices, APIs)
• Ability to dive deep into code when needed, not just delegate

Key responsibility areas of a Sr. Copywriter:

1. Develop content ideas and strategies for assigned brands

2. Ensure the smooth execution of content strategies

3. Create high-quality and engaging copies for digital platforms

4. Ensure the content aligns with the brand voice and messaging strategy

5. Develop and implement effective copywriting strategies to meet client objectives and campaign goals

6. Coordinate internally and externally for project completion

7. Conduct research and gather information for existing and new projects

8. Develop content guidelines for all assigned brands

9. Set processes for smooth workflow and adherence to existing structures

We are seeking a talented Python Developer to join our team and help us develop algorithmic trading strategies. The ideal candidate should have a strong background in Python programming, excellent logical reasoning skills, and a passion for finance.

About Plum

We are making health insurance - simple, accessible and affordable. Hundreds of businesses of all sizes from startups to large corporates trust Plum for their employee's health protection.

Healthcare in India is seeing a phenomenal shift. Healthcare cost is seeing an inflation that is three times the general inflation. Treatments of diseases including Covid-19 can wipe out entire household savings. Majority of Indians won't be able to afford a health insurance on their own. As many as 600mn Indians would depend on employer-sponsored insurance.

Enter Plum. Plum is re-imagining the health insurance stack, and accelerating the penetration of health insurance in India to 100%. Plum has forged new underwriting and fraud detection algorithms to enable companies as small as 2 to benefit from a group insurance. The platform enables realtime insurance design & pricing to enable companies to buy insurance in 3-clicks. And offers employees a hassle-free claims experience through an integrated digital process.

Plum is backed by leading global investors including Tiger Global, Sequoia Capital, Tanglin Ventures and Incubate Fund (read more https://www.plumhq.com/blog/plum-series-a-funding">here)

About the role

Having found exceptional product/market fit, we’re in the midst of transitioning from 'start-up' to ‘scale-up’, and looking for a senior frontend engineer to help us scale Plum, and spearhead the frontend of our product.

You will have a direct impact on the customer experience through the design and implementation of new features and functionalities in our product. You'll work as part of a small but rapidly growing high-energy team delivering incredible, creative improvements to our product. You'll be in charge of reviewing the implementation of applications following code standards and style guides. You would analyze and build UI Pattern Libraries (Design Systems, UI Kits, etc.)

• Spec, build, test, and deliver new features while improving the performance and quality of the product.
• Run test-harness to guarantee the structure, integrity, and design of the application.
• Solve complex CSS, HTML, and User Interface compatibility issues across browsers.
• Optimize JavaScript implementations to ensure that code remains performant.
• Implement front-end development workflows: build systems, dependency management, quality checkers (linting), etc.
• Ability to push things over the line, ship awesome features, and delight customers.

• 2+ years of hands-on experience building web applications with JavaScript, HTML5, and CSS.
• Comfortable with Responsive Web Design and Development and weave out beautiful code in React.
• Strong product and design sensibilities and has an obsessive attention to detail.
• Write testable, maintainable code that's easy to understand.
• Understand complex problems and break them down into smaller tasks.
• Strong sense of ownership and integrity demonstrated through clear communication and collaboration.

Your skills and experience should cover:

• 5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).

• Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.

• 5+ years of experience using one or more modern programming languages (Python, Node.js).

• Hands-on experience migrating data to the AWS cloud platform

• Experience with Scrum/Agile methodology.

• Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)

• Experience with AWS Data Storage Tools.

• Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.

• Experience working with GIT, or similar tools.

• Ability to communicate and represent AWS Recommendations and Standards.

The following areas are highly advantageous:

• Experience with Docker

• Experience with PostgreSQL database