seo

Oversee and manage end-to-end supply chain operations (imports, customs, warehousing, logistics, inventory)

Coordinate with international suppliers, clearing agents, and freight forwarders

Forecast demand and maintain optimal inventory levels to prevent stockouts or overstocking

Improve operational efficiency, reduce costs, and ensure on-time delivery SLAs

Manage warehouse partners across locations (3PLs) and ensure best practices

Ensure compliance with import/export laws, EPR compliance, and sustainability norms

Maintain accurate reports on SKU movements, aging inventory, and replenishment schedules

Role & Responsibilities

We are building our founding team and are looking for folks who are excited to get their hands dirty in a 0 to 1 journey. If you are expecting a fully working playbook that you can execute upon, Zenskar is probably not the right fit for you at this point. However, if you are excited about creating the playbook from scratch and scaling the existing playbook, we would love to hear from you

You will directly work with the founders.

Outbound sales is a critical to generating meetings with qualified prospects. You will lay the foundation for and execute upon our outbound sales strategy.

The primary objective is to generate leads and setup meetings with qualified prospects by optimizing our outbound sales machinery - iterating on channels, messaging, ICP (ideal customer profile), tooling etc.

Designation: Project Manager

Location: Bangalore (Hybrid)

Reports to: Co-Founder & CBO

About the Role

We are looking for a driven and detail-oriented Project Manager to lead the execution of high-impact digital product initiatives for our clients. This is a high-ownership role that demands end-to-end accountability — from scoping and planning to execution and delivery. You'll work closely with cross-functional teams to ensure projects are delivered on time, with high quality and measurable business outcomes. If you're someone who thrives in fast-paced environments, brings structure to ambiguity, and leads with clarity and data, we’d love to connect.

Key Responsibilities

• Act as the single point of accountability for end-to-end project execution — ensuring on-time, high-quality, and profitable delivery of digital product solutions across strategy, design, and development.
• Collaborate closely with internal teams (design, engineering, research) and client stakeholders to translate project objectives into actionable plans with clear timelines, milestones, and deliverables.
• Define and manage project scope, resourcing, dependencies, budgets, and risks — proactively identifying and mitigating potential blockers.
• Bring clarity and structure to execution by setting up robust documentation, operating rhythms, and tracking mechanisms; ensure timely communication of progress, challenges, and escalations to leadership and clients.
• Drive project governance through weekly health reviews, accurate status reports, and rigorous issue/risk tracking with defined accountability.
• Own the quality of delivery — ensure alignment of deliverables with project goals, client expectations, and internal benchmarks for innovation and excellence.
• Make data work for you — use structured data and reporting to surface insights, enable decision-making, and identify areas of improvement.
• Lead with influence, not authority — foster alignment and collaboration across multidisciplinary teams in a fast-paced, often ambiguous environment.
• Embrace a problem-solving mindset — proactively drive solutions to cross-functional execution challenges, and be comfortable navigating trade-offs.
• Contribute to internal IP and process improvements that enhance delivery maturity and scalability across projects.

Requirements

• 5–8 years of experience in project management, with a proven track record of driving end-to-end execution of complex digital or technology projects.
• Prior experience in a service-based or consulting environment, managing external client stakeholders and internal cross-functional teams.
• Strong understanding of digital product development lifecycle — from strategy to design to engineering execution.
• Demonstrated ability to manage project scope, budgets, timelines, and risks with a high sense of ownership and accountability.
• Proficiency in project management tools such as Jira, Asana, Trello, or ClickUp; comfort with setting up and customizing workflows, reports, and dashboards.
• Strong analytical mindset — ability to work with data, identify trends, generate insights, and support decision-making through structured reporting.
• Excellent written and verbal communication skills — capable of simplifying complex ideas, aligning diverse stakeholders, and presenting with clarity to clients and leadership.
• Ability to work in a fast-paced environment, manage competing priorities, and stay composed under pressure.
• Hands-on, detail-oriented, and structured — someone who can bring method to chaos and drive clarity in ambiguity.
• A natural collaborator and influencer — able to build trust, motivate teams, and drive alignment without direct authority.
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Good to have:

• Experience in managing digital transformation, innovation-led, or customer experience focused projects.
• Exposure to product strategy, UX research, or agile software development practices.
• Certification in PMP, PRINCE2, or Agile methodologies is a plus, but not mandatory.

About Thence

Thence is a product innovation and digital design firm that partners with ambitious companies to reimagine digital experiences. We offer end-to-end solutions — from product strategy and experience design to full-stack development — helping our clients launch, scale, and transform digital products. With a focus on design excellence, measurable impact, and deep collaboration, we take pride in building solutions that users love and businesses value.

Strong knowledge on Batch monitoring and scheduling experience of any of Control-M, autosys, D-Series scheduler tools. ?Build and validate job flows, calendar requirements, and scheduling criteria. ?Must be able to analyze business requirements procedures and problems to smooth migration of jobs flows and scheduled systems ?Should actively involve for any batch related issue and provide the fix before SLA. ?Knowledge of ITSM tools like service now, JIRA & Incident/Change Request process. ?Willing to provide the 24/7 support ?Ability to work on Mass schedule changes without any scheduling issue. ?Should perform Holiday schedule changes. ?Should know how to define or change the report. Analyzing schedule dependencies and interfacing with application support teams. Scheduling different kinds of batch production job flows including daily, weekly, monthly, quarterly yearly schedules. Scheduling setting up testing jobs for the scheduling test system. Process Skills: ?Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive Interest in designing, analyzing, and troubleshooting large-scale distributed systems. ?Should be able to provide training and KT to staff members of Control-M. ?Knowledge of Incident and Change management process as per ITIL. ?On-call support and handling issues as per business priority Behavioral Skills: Participates as a team member and fosters teamwork by inter-group coordination within the modules of the project. Proven ability in developing relationships with stakeholders, understanding detailed business requirements across multiple project initiatives Ability to steer technology direction and provide appropriate training to the team. Good attitude, learning skills. Technical skills : PRIMARY COMPETENCY : production support PRIMARY SKILL : Control M, Autosys, D-Series , SQL, Linux, Service Now. SECONDARY COMPETENCY : MARKIT EDM.

 Display clothing and merchandise in print and online advertisements. Promote products and services in television commercials. Wear designers' clothing for runway fashion shows.

Skills

• Have published at least one original React Native App.
• Experience with third-party libraries and APIs 

Role 

Should be able to single-handedly build performant mobile apps on the React Native platform. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

Responsibilities 

• Build pixel-perfect, buttery smooth UIs across mobile platforms.
• Leverage native APIs for deep integrations with both platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Reach out to the open-source community to encourage and help implement mission-critical software fixes—React Native moves fast and often breaks things.

• Drive the goals by understanding the requirements and preparing a robust test strategy
• Analyze and understand existing automation framework and automate manual test cases
• Upgrade/create a new reusable test framework using Java, Cucumber, Selenium as per functional requirements
• Analyze the business requirements and craft detailed level of test scenarios/cases/plan
• Carry out functional and regression testing
• Be responsible to handle multiple projects at the same time
• Complete STLC process with deliverable on time within excellent quality
• Requirement/Status communication with all the stakeholders like development team, business, product delivery team, senior management
• Good Experience in testing API and service side components
• BFSI Domain experience is MUST
• Highlight/Escalate the risk and issues in a timely manner In this role you will:
• Be responsible and held accountable for the quality of products developed by IT for our internal and external customer
• Help improve QA practices and processes by creating and maintaining documentation, QA templates, and other related artifacts
• Work in an Agile environment with distributed teams
• Maintain QA artifacts (such as documentation, etc.) and report QA metrics
• Be heavily involved with the Development teams during development, UAT teams during the acceptance testing, and Release Team for deployments and post-deployment QA
• Manage defect tracking for all software projects and assist with defect management by providing periodic updates to senior management as requested
• Be responsible for all QA resources
• Must remain up-to-date with relevant information and security practices within the industry and security training annually.

Skills:

• we are looking for a senior profile, a person having experience in testing API (Enterprise level product)
• Working knowledge of build automation tools like Maven, Gradle, Jenkins, etc.
• Expertise in version control tools like GIT.
• Using IDE's like IntelliJ, Eclipse, Spring tool suit, etc
• Expertise in web services technologies such as Restful with microservices architecture
• Good knowledge of SQL Database n
• Excellent communication, documentation, and organizational skills.
• Experience in a complex, large volume operation
• Excellent written and verbal communication skills
• Plan the timelines of delivery details of the Group/ Division project activities

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification