Product Manager

MANDATORY CRITERIA:

• Education: B.Tech / M.Tech in ECE / CSE / IT
• Experience: 10–12 years in hardware board design, system hardware engineering, and full product deployment cycles
• Proven expertise in digital, analog, and power electronic circuit analysis & design
• Strong hands-on experience designing boards with SoCs, FPGAs, CPLDs, and MPSoC architectures
• Deep understanding of signal integrity, EMI/EMC, and high-speed design considerations
• Must have successfully completed at least two hardware product development cycles from high-level design to final deployment
• Ability to independently handle schematic design, design analysis (DC drop, SI), and cross-team design reviews
• Experience in sourcing & procurement of electronic components, PCBs, and mechanical parts for embedded/IoT/industrial hardware
• Strong experience in board bring-up, debugging, issue investigation, and cross-functional triage with firmware/software teams
• Expertise in hardware validation, test planning, test execution, equipment selection, debugging, and report preparation
• Proficiency in Cadence Allegro or Altium EDA tools (mandatory)
• Experience coordinating with layout, mechanical, SI, EMC, manufacturing, and supply chain teams
• Strong understanding of manufacturing services, production pricing models, supply chain, and logistics for electronics/electromechanical components

DESCRIPTION:

COMPANY OVERVIEW:

The company is a semiconductor and embedded system design company with a focus on Embedded, Turnkey ASICs, Mixed Signal IP, Semiconductor & Product Engineering and IoT solutions catering to Aerospace & Defence, Consumer Electronics, Automotive, Medical and Networking & Telecommunications.

REQUIRED SKILLS:

• Extensive experience in hardware board designs and towards multiple product field deployment cycles.
• Strong foundation and expertise in analyzing digital, Analog and power electronic circuits.
• Proficient with SoC, FPGAs, CPLD and MPSOC architecture-based board designs.
• Knowledgeable in signal integrity, EMI/EMC concepts for digital and power electronics.
• Completed at least two project from high-level design to final product level deployment.
• Capable of independently managing product’s schematic, design analysis DC Drop, Signal Integrity, and coordinating reviews with peer of layout, mechanical, SI, and EMC teams.
• Sourcing and procurement of electronic components, PCBs, and mechanical parts for cutting-edge IoT, embedded, and industrial product development.
• Experienced in board bring-up, issue investigation, and triage in collaboration with firmware and software teams.
• Skilled in preparing hardware design documentation, validation test planning, identifying necessary test equipment, test development, execution, debugging, and report preparation.
• Effective communication and interpersonal skills for collaborative work with cross-functional teams, including post-silicon bench validation, BIOS, and driver development/QA.
• Hands-on experience with Cadence Allegro/Altium EDA tools is essential.
• Familiarity with programming and scripting languages like Python and Perl, and experience in test automation is advantageous.
• Should have excellent exposure with coordination of Manufacturing Services, pricing model for production value supply chain & Logistics in electronics and electromechanical components domain.

Job Summary:

We are seeking a passionate and energetic Fashion Assistant to support our brand and design teams across various functions including styling, trend research, product development, and campaign coordination. This role is ideal for someone who understands contemporary fashion, follows global trends, and is eager to grow within a fast-paced retail and lifestyle environment.

Key Responsibilities:

• Assist in product styling and coordination for lookbooks, catalog shoots, and e-commerce platforms.
• Coordinate with buying, merchandising, and marketing teams for sample tracking, approvals, and visual consistency.
• Track competitor trends, pricing strategies, and category-wise product offerings.
• Prepare presentation decks, swatch files, and styling concepts for seasonal launches.

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

• Produce well-researched, informative, and engaging content that aligns with our B2B SaaS industry, including blog posts, articles, whitepapers, case studies, and website content.
• SEO Optimization: Conduct keyword research to identify relevant search terms and phrases, and incorporate them into your content to maximize organic visibility.
• Collaborate with the marketing team to develop content strategies that align with business goals and industry trends.
• Promote your content through various channels, including social media, email marketing, and other online platforms, to increase reach and engagement.
• Create content that speaks directly to our target audience, addressing their pain points and providing valuable solutions.
• Stay current with SEO and content marketing best practices, industry trends, and competitors' strategies to continually improve our content efforts.

Executive – Customer Success (for a leading SaaS Product)

About Sulekha.com

Sulekha is one of India’s largest digital business and consumer brands that has transformed local services ecosystem through a powerful need fulfillment and monetization platform that generates qualified, parameterized leads to local service SMBs every day in 40 cities. Sulekha’s unique, scalable digital platform, stapled to an expanding digital-mobile-local opportunity, has positioned it to serve in 24,000+ location-categories for purchase-oriented users (24+ M user needs p.a.) and growth-oriented businesses (2+ M active local businesses).

About Pro-Manage

Pro-Manage is a pioneering tech- and AI-based Marketing-as-a-Service platform developed to serve multi-location enterprise clients increase, manage and measure digital engagement opportunities with prospects and customers, leveraging several valuable business and technology partnerships with global leaders such as Google GMB/Chat, Microsoft Bing, Meta WhatsApp/Instagram, Knowlarity Cloud telephony and others. Pro-Manage is a Sulekha brand initiative.

Pro-Manage is a powerful and sophisticated marketing SaaS platform that has attracted highly regarded brands as its clients: Indian Oil, Shriram Finance, Apollo Pharmacy, Naturals, Sterling Resorts, Muthoot Finance, Aadhaar Housing Finance, Shriram Transport Finance, City Union Bank, O2 Spa, Page 3 Salons, Urban Nomads, CADD Centre and more.

Pro-Manage is developed using advanced technologies, design thinking, continuous discovery, agile development and product management methodologies. The cross-functional Pro-Manage team uses integrated customer-centric product-led marketing and growth paradigms designed to attract and retain targeted customers, maximizing life-time value and minimizing customer acquisition efforts and costs.

Pro-Manage is developed and offered by Sulekha, one of India’s largest digital business and consumer brands that has transformed local services ecosystem through a AI-based need fulfillment and monetization platform that generates millions of qualified, parameterized service requests to local service SMBs every day in 40 cities.

Pro-Manage aspires to be the dominant, industry-leading and technologically the most sophisticated marketing SaaS platform in India with 500+ enterprise customers in the next two years.

Pro-Manage and Sulekha have three of the most well-regarded firms as its investors: Norwest Venture Partners (Palo Alto, US), Mitsui (Tokyo), and GIC (sovereign wealth fund of Singapore).

Job Description & Expectations

We are looking for an executive to help a portion of the 65,000+ customers of Sulekha achieve tangible business outcomes. He/she will closely work with paid customers of Sulekha to achieve the desired goals of Sulekha. This portfolio will be managed by the Pro-Manage SME product of Sulekha.

Pro-Manage Boost operations

a. Profile Enrichment of existing and new customers of Sulekha who want to enhance their presence in Google, Bing, Facebook and others as we add on, by working on their profile content.

b. Deliver on KYC and 8 vectors of digital presence that include posts, photos, videos directions, keywords to enhance the value of customers trying the Sulekha Pro-Manage Boost product

c. Email, Phone call and WhatsApp engagement with customers to obtain content and optimize the Google listings & on other platforms.

d. Closely work with cross functional teams including central design team, central keyword research team and marketing teams to deliver value.

e. Pro-mange Dashboard Training supporting the customer to understand the dashboard.

f. Performance Management for the customers, analyzing the profile performance sharing the reports and insights with the customers and recommend changes to enhance the profile.

Education, Professional and Personal Attributes

· B.Tech/BE/B.Sc. graduation is preferred

· Excellent communication skills, with good knowledge in Hindi and 1 regional language. This is mandatory to help with category expertise

· Good analytical knowledge including working knowledge of all Microsoft tools and awareness of digital advertising tools like Google, Facebook is preferred

· Min. 1 year of experience in digital marketing including interacting with customers will be preferred

· Should possess an innate love of data and ability to see new patterns that impact business

· Positive, initiative driven and passionate about digital marketing

· Result oriented, entrepreneurial, and self-motivated

· Ambitious and flexible

Other aspects

· Reporting to Pro-Manage SME vertical lead

· Must be based out of Chennai with no travel involved

· All days are working from office – no WFH envisaged as of now

What Pro-Manager Offers You

· Opportunity to develop cutting-edge digital SaaS business development expertise

· Develop competence in marketing, product development, customer success and technology

· Highly entrepreneurial and aspirational work environment that inspires and challenges

· Collaborative and fun work environment

· Learning and development program to help you develop skills

· Well-define career path and progression tracking

· Progressive, nurturing and respectful work culture

· Attractive compensation plus incentives

Job Responsibilities.

• Develop and implement HR strategies and initiatives aligned with the overall business strategy.
• Bridge management and employee relations by addressing demands, grievances, or other issues.
• Manage the recruitment and selection process.
• Support current and future business needs through the development, engagement, motivation, and preservation of human capital.
• Develop and monitor overall HR strategies, systems, tactics, and procedures across the organization.
• Nurture a positive working environment.
• Oversee and manage a performance appraisal system that drives high performance.
• Maintain pay plan and benefits program.
• Assess training needs to apply and monitor training programs.
• Report to management and provide decision support through HR metrics.
• Ensure legal compliance throughout human resource management.