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Role: Product Manager

Experience: 5-10 years

Location: Hyderabad (Remote due to COVID-19)

Technovert is not a typical IT services firm. We inculcate the product mindset for the talent working with us. We have to credit two of our successful products generating $2M+ in licensing/SaaS revenues which is rare in the industry.

Step ahead, we are looking for a Product Manager who can create best out of excellent engineering minds and build together a product which suffice Insurance Industry needs. This is a pivotal role where you can see yourself working with the Technology, Sales, Marketing and Leadership team. 
Your Responsibilities

• Identify product market opportunities through market research, customer profiling, needs analysis, market sizing and competitive analysis.
• Define the product strategy, and translate product strategy into roadmap and feature definition, in line with business and customer experience objectives.
• Collect and develop ideas, prioritize the ideas, create business cases
• Define, track, and improve key product metrics.
• Drive the product discovery process for large projects and support the product implementation and deployment
• Partner and collaborate with stakeholders from multiple teams like Engineering, UX, Data, etc. across numerous business units across countries and teams
• Liaise with Engineering and Product owners to help them implement and verify the product increments
• Liaise with Sales, Marketing, Services and Support organizations to launch the product evolutions to market
• Works with product marketing department to develop effective communication activities and programs including product positioning, collateral development, whitepapers, and analyst engagement
• Serves as the key contact for product questions and new product ideas which surface from customers, sales, or market research.
• Manages the resolution of escalated customer problems. Escalates problems and issues to other departments when needed.

Ideal Candidate Traits

• Strong understating of the Insurance industry. Preferable Life & Health.
• Must be able and willing to think and act strategically and tactically
• Excellent communication skills, and design thinking skills
• Strong analytical and problem-solving skills. Leveraging data to make informed product decisions.
• Must have sound business judgment as well as the ability to think clearly, analyze quantitatively, problem-solve, scope technical requirements, and prioritize
• Ability to explain the business and technical value of a technical offering to internal and external audience which is a mix of technical and non-technical customer representatives

Minimum Qualifications

• 4+ years of experience in technology product management.
• 3+ years of working in the insurance domain
• Have worked independently or as a lead on GTM and launch of at least 1 product
• Worked closely with developers in an agile development environment
• Prior experience as a developer preferred.

Company Description

VMax e-Solutions India Private Limited, based in Hyderabad, is a dynamic organization specializing in Open Source ERP Product Development and Mobility Solutions. As an ISO 9001:2015 and ISO 27001:2013 certified company, VMax is dedicated to delivering tailor-made and scalable products, with a strong focus on e-Governance projects across multiple states in India. The company's innovative technologies aim to solve real-life problems and enhance the daily services accessed by millions of citizens. With a culture of continuous learning and growth, VMax provides its team members opportunities to develop expertise, take ownership, and grow their careers through challenging and impactful work.

About the Role

We’re hiring a Senior Data Scientist with deep real-time voice AI experience and strong backend engineering skills.

1. You’ll own and scale our end-to-end voice agent pipeline that powers AI SDRs, customer support 2. agents, and internal automation agents on calls. This is a hands-on, highly technical role where you’ll design and optimize low-latency, high-reliability voice systems.

3. You’ll work closely with our founders, product, and platform teams, with significant ownership over architecture, benchmarks.

What You’ll Do

1. Own the voice stack end-to-end – from telephony / WebRTC entrypoints to STT, turn-taking, LLM reasoning, and TTS back to the caller.

2. Design for real-time – architect and optimize streaming pipelines for sub-second latency, barge-in, interruptions, and graceful recovery on bad networks.

3. Integrate and tune models – evaluate, select, and integrate STT/TTS/LLM/VAD providers (and self-hosted models) for different use-cases, balancing quality, speed, and cost.

4. Build orchestration & tooling – implement agent orchestration logic, evaluation frameworks, call simulators, and dashboards for latency, quality, and reliability.

5. Harden for production – ensure high availability, observability, and robust fault-tolerance for thousands of concurrent calls in customer VPCs.

6. Shape the voice roadmap – influence how voice fits into our broader Agentic OS vision (simulation, analytics, multi-agent collaboration, etc.).

You’re a Great Fit If You Have

1. 6+ years of software engineering experience (backend or full-stack) in production systems.

2. Strong experience building real-time voice agents or similar systems using:

STT / ASR (e.g. Whisper, Deepgram, Assembly, AWS Transcribe, GCP Speech)

TTS (e.g. ElevenLabs, PlayHT, AWS Polly, Azure Neural TTS)

VAD / turn-taking and streaming audio pipelines

LLMs (e.g. OpenAI, Anthropic, Gemini, local models)

3. Proven track record designing and operating low-latency, high-throughput streaming systems (WebRTC, gRPC, websockets, Kafka, etc.).

4. Hands-on experience integrating ML models into live, user-facing applications with real-time inference & monitoring.

5. Solid backend skills with Python and TypeScript/Node.js; strong fundamentals in distributed systems, concurrency, and performance optimization.

6. Experience with cloud infrastructure – especially AWS (EKS, ECS, Lambda, SQS/Kafka, API Gateway, load balancers).

7. Comfortable working in Kubernetes / Docker environments, including logging, metrics, and alerting.

8. Startup DNA – at least 2 years in an early or mid-stage startup where you shipped fast, owned outcomes, and worked close to the customer.

Nice to Have

1. Experience self-hosting AI models (ASR / TTS / LLMs) and optimizing them for latency, cost, and reliability.

2. Telephony integration experience (e.g. Twilio, Vonage, Aircall, SignalWire, or similar).

3. Experience with evaluation frameworks for conversational agents (call quality scoring, hallucination checks, compliance rules, etc.).

4. Background in speech processing, signal processing, or dialog systems.

5. Experience deploying into enterprise VPC / on-prem environments and working with security/compliance constraints.

This position is responsible for growing business in the assigned region through self and team by sourcing, qualifying and developing enterprise accounts in the assigned geography for data centre, servers and storage, audio-visual unified communication, cloud services, etc. We also expect the position holder to expand and lead a team of vibrant Enterprise Sales Managers. We are looking for someone who could be proficient in one or two of our solution lines and would be keen to learn the others. Account Development and Management, Team Leadership and Customer Centricity are the cornerstones of this job. Experience or current job in the same location would be preferred. 

Main Duties/Responsibilities:

• Be overall responsible for the regional sales, margins, profitability, headcount and growth goals through self and team. 
• Suggest new services/products and innovative sales techniques for end users and manage accounts in India and globally to increase customer satisfaction.
• Collaborate with senior executives to establish and execute a sales goal for the region.
• Managing a sales team in order to maximize sales revenue and meet or exceed accepted goals, objectives and targets 
• Develop and maintain relations with OEMs and Manufacturers.
• Forecast annual, quarterly, and monthly sales goals.
• Coach, develop and assist the ESMs in their planning, sales techniques, account management and technical knowledge by arranging presentations of strategies, training, seminars, and through regular meetings.
• Develop specific plans to ensure long term-term growth and short-term targets.
• Review regional expenses and recommend cost optimization improvements.
• Anticipate potential and address current problems with prompt and effective solutions
• Identify hiring needs, and collaborate with HR to select and train new salespeople.
• Analyze regional market trends and discover new opportunities for growth.
• Operate as ‘farmer’ for large enterprise accounts while hunting for new accounts.

Skills:

• Result orientation; setting and achieving targets and objectives in time
• Strong verbal and written communications skills including presentation skills.
• Strong relationship building, analytical and negotiation skills.
• Customer centricity; being the customer’s success manager internally at Rahi 
• Ability to work collaboratively with all the verticals across the all geographies in India and other global regions.
• Coaching and leading a team 

We Help Our Customers Build Great Products.

Innominds is a trusted innovation acceleration partner focused on designing, developing and delivering technology solutions for specialized practices in Big Data & Analytics, Connected Devices, and Security, helping enterprises with their digital transformation initiatives. We built these practices on top of our foundational services of innovation, like UX/UI, application development and testing.

Over 1,000 people strong, we are a pioneer at the forefront of technology and engineering R& D, priding ourselves as being forward thinkers and anticipating market changes to help our clients stay relevant and competitive.

About the Role:

We are looking for a seasoned Data Engineering Lead to help shape and evolve our data platform. This role is both strategic and hands-on—requiring leadership of a team of data engineers while actively contributing to the design, development, and maintenance of robust data solutions.

Key Responsibilities:

• Lead and mentor a team of Data Engineers to deliver scalable and reliable data solutions
• Own the end-to-end architecture and development of data pipelines, data lakes, and warehouses
• Design and implement batch data processing frameworks to support large-scale analytics
• Define and enforce best practices in data modeling, data quality, and system performance
• Collaborate with cross-functional teams to understand data requirements and deliver insights
• Ensure smooth and secure data ingestion, transformation, and export processes
• Stay current with industry trends and apply them to drive improvements in the platform

Requirements

• Strong programming skills in Python
• Deep expertise in Apache Spark, Big Data ecosystems, and Airflow
• Hands-on experience with Azure cloud services and data engineering tools
• Strong understanding of data architecture, data modeling, and data governance practices
• Proven ability to design scalable data systems and enterprise-level solutions
• Strong analytical mindset and problem-solving skills

For our company to deliver world-class products and services, our business depends on recruiting and hiring the best and the brightest from around the globe. We are looking for the engineers, designers and creative problem solvers that stand out from the rest of the crowd but are also humble enough to continue learning and growing, are eager to tackle complex problems and are able to keep up with the demanding pace of our business. We are looking for YOU!

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

• 5-8 years of experience as a Java/J2EE developer.
• 1-3 years of experience with Angular / React is desirable.
• 1-3 years of experience in using Spring and Spring Boot frameworks.
• Thorough knowledge of server-side development.
• Proven experience as a Full Stack Developer or similar role.
• Good understanding of web services (WSDL SOAP, RESTful).
• Hands-on experience in using Application Servers like WebSphere.
• Expertise in relational databases (Oracle, SQL Server).
• E-commerce domain knowledge is desirable.
• Prior experience in developing desktop and mobile applications.
• Familiarity with common stacks.
• Knowledge of multiple frontend languages and libraries, like HTML/ CSS, JavaScript, XML, jQuery.
• Experience in implementation of Microservices
• Experience with AWS (S3, SQS, SNS, ECS, EC2, ALB, API Gateway, Lambda, etc.) is highly desirable
• Good understanding of Docker & Kubernetes is highly desired.
• Familiarity with databases (MySQL, MongoDB, PostgresSQL), web servers (Apache), and UI/UX designs.

Skills: Node.js, React.js, MongoDB, Express JS, HTML, CSS, .

Requirements:

• Should have experience on Node.js and frameworks available for it, such as Express or StrongLoop. Preferably Express.
• Should have experience in building Rich UI components with React.js.
•  Should have hands on experience on MongoDB.  
• Strong understanding of JavaScript, its quirks and workarounds.
• Knowledge of ES6, ES7 and Object-oriented and functional programming.
• Understanding the nature of asynchronous programming and its quirks and workarounds.
• Should have experience in working on Linux (Ubuntu) Environment and basic linux commands.
• Proficient understanding of code versioning tools, such as Git.
• Good to have knowledge on Redis DB.
• Good understanding of browser rendering behavior and performance.
• Good to have exposure working in an agile development environment

• Hands-on experience in Laravel