11+ Metrics management Jobs in Pune | Metrics management Job openings in Pune

About Kinematic Digital

Kinematic Digital is a fast-growing digital and SaaS solutions company focused on delivering innovative, scalable, and customer-centric technology products. We help businesses accelerate growth through cutting-edge digital platforms, data-driven insights, and seamless user experiences.

Role Overview

We are looking for a results-driven Sales Manager to lead and scale our SaaS sales efforts. The ideal candidate will have a strong background in B2B SaaS sales, experience managing high-performing teams, and a proven ability to drive revenue growth through strategic planning and execution.

Key Responsibilities

• Develop and execute a robust sales strategy to drive ARR growth and market expansion
• Build, manage, and mentor a high-performing sales team
• Own the end-to-end sales cycle: lead generation, qualification, demo, negotiation, and closing
• Manage and optimize the sales pipeline with accurate forecasting
• Identify new business opportunities across SMB, mid-market, and enterprise segments
• Collaborate with marketing and product teams to align go-to-market strategies
• Drive customer acquisition, retention, and account expansion
• Establish strong relationships with key clients and stakeholders
• Track and analyze sales metrics (MRR, churn, conversion rates) to improve performance

Required Skills & Qualifications

• Minimum 2 years of experience in B2B SaaS sales.
• Strong understanding of SaaS metrics such as ARR, MRR, LTV, and churn
• Proven track record of consistently meeting or exceeding sales targets
• Experience with CRM tools such as Salesforce, HubSpot, or similar platforms
• Excellent communication, negotiation, and presentation skills
• Strong analytical and problem-solving abilities
• Ability to thrive in a fast-paced, high-growth environment

Preferred Qualifications

• Experience selling to global markets (US, Europe, or APAC)
• Familiarity with product-led growth (PLG) and inside sales models
• Exposure to digital marketing or technology solutions sales
• MBA or equivalent business qualification

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

• Strong Data Science / Machine Learning Profile
• Mandatory (Experience) – Must have 5+ years in Data Science and Data Engineering, with expertise in data preprocessing, cleaning, transformation, and feature engineering.
• Mandatory (Skills 1) – Strong practical proficiency in Python and its data science ecosystem, including Scikit-learn, Pandas, NumPy, and visualization libraries such as Matplotlib and Seaborn.
• Mandatory (Skills 2) - In-depth knowledge of machine learning algorithms, including classification, clustering, association rule mining, anomaly detection, and experience in implementing and evaluating models.

Preferred

• Preferred (Skills) – Prior experience in mentoring student teams for data science competitions or hackathons is preferred

We're Hiring - Java Full Stack Developer !

Job Details:

Location: Bangalore, Mumbai, Pune

Role: Java Full stack Developer

Experience: 5 to 10 Years

Notice Period: Immediate to 15 Days

Work Mode: Hybrid

Skills Required:

Strong knowledge of Java, Core Java, SQL

Expertise in Spring Boot, Angular/ React

Proficiency in OOPS, Design Patterns, Data Structures, and Algorithms

Experience with Multithreading and Microservices

Good experience in cloud platform, AWS preferred.

Experience with RESTful services and APIs

About Company

Our client works in the area of skilling and livelihoods for underserved youth. It is a pioneering program with a strong PPP model, an agency-led

approach to livelihoods and a vision of socio-economic transformation. The NGO runs through a public-private partnership that empowers the Government, Corporates, NGOs and Citizens to work together toward changing lives.

Responsibilities

● Design and execution of research into the impact of an agency-led approach to livelihoods.

● Design and execution of the appropriate baseline surveys in communities.

● Gaining an in-depth understanding of the impact of the NGO program at the community level.

● Identification of research partners as required.

● Building tools and systems for monitoring and evaluation of the Lighthouse program and guiding the work of the data & reporting team.

● Data quality audits for program-specific data across the organization.

Requirements

● Master’s degree in statistics or economics with a specialization in statistical methods, or social sciences with training in qualitative and quantitative research methods.

● Minimum 5 years of work experience in the social sector/ corporate sector.

● Critical thinking

● Analytical ability

● Result orientation

● Excellent written and oral communication in Hindi and English (Knowledge of Marathi

will be an added advantage)

● Creativity

Job Summary:

We are looking for a dynamic and detail-oriented Procurement & Operations Executive to oversee vendor management, procurement, inventory control, event coordination, and school partnerships. The ideal candidate will have strong negotiation skills, event planning expertise, and experience handling tenders and logistics.

Key Responsibilities:

Procurement & Vendor Management:

• Source, negotiate, and manage vendors for book printing and other procurement needs.
• Ensure timely and quality delivery of printed materials and essential products.
• Build and maintain strong relationships with suppliers and service providers.

Event & Fair Management:

• Plan and execute participation in book fairs, exhibitions, and educational events.
• Manage stall setup, visitor engagement, and on-ground event operations.
• Oversee event logistics, inventory, and promotional materials.
• Prepare post-event reports and performance evaluations.

School & Field Visits:

• Visit schools to build partnerships and promote Bynaric Systems' offerings.
• Engage with educators and administrators to present products and services.
• Identify and secure new collaboration opportunities.

Tender Management & Documentation:

• Identify relevant tenders and manage end-to-end submission processes.
• Prepare accurate documentation and ensure compliance with tender requirements.
• Maintain a database of past submissions and results for future reference.

Inventory & Logistics Management:

• Maintain accurate records of inventory, including books and educational materials.
• Optimize storage solutions for efficiency and safety.
• Coordinate logistics for deliveries, pickups, and returns.
• Monitor and track shipments to ensure timely delivery.

Customer Engagement & Calls:

• Handle inbound and outbound customer calls related to orders and inquiries.
• Provide excellent customer service and resolve issues promptly.

General Operations & Field Work:

• Perform fieldwork related to operational or marketing activities.
• Ensure smooth execution of ad hoc tasks and projects assigned by management.

Key Performance Indicators (KPIs):

• Procurement Efficiency: Timely sourcing and quality delivery of materials.
• Event Success: Effective participation in book fairs, exhibitions, and school visits.
• School Partnerships: Growth in the number of active school collaborations.
• Tender Wins: Success rate in submitted tenders.
• Inventory Accuracy: Low error rate in inventory management and timely deliveries.
• Customer Satisfaction: Positive feedback and improved complaint resolution time.
• Operational Efficiency: Timely execution of fieldwork and assigned tasks.

Key Competencies Required:

• Strong negotiation and vendor management skills.
• Event planning and execution expertise.
• Excellent communication and interpersonal skills.
• Proficiency in inventory and logistics management tools.
• Understanding of tendering processes and documentation.
• Problem-solving abilities and adaptability for fieldwork.

How to Apply:

Interested candidates can apply by sending their updated resumes to hr@bynaric(dot)in Subject : Procurement & Operations Executive

Skills – Jboss, DevOps, ServiceNow, Windows Server.

JD - Application Maintenance -- Must have -- Installation and configuration of Custom/Standard Software e.g., FileZilla, JDK, OpenJDK Installation and configuration of JBOSS/Tomcat Server, Configuration of HTTPS certificate in JBOSS/Tomcat, Windows Event Viewer/IIS Log/ Windows Security /Active Directory, how to set Environment variable, Registry value, etc. Nice to Have --- Basics of Monitoring Knowledge of PowerShell, MS Azure Devops, Deploy and Configure application, how to check Last installed version of any software/patch, ServiceNow , ITIL , Incident Management , Change Management

• Over 6 - 12 years of experience in software testing and test automation
• Minimum 2 years of experience working in agile projects
• In depth knowledge of test automation using Selenium
• Good knowledge in web service testing using Rest Assured
• Experience in development of test automation framework as Data driven/Keyword driven/Hybrid/POM. Should have developed 1 or more automation frameworks from scratch.
• Highly motivated, with a proven ability to work on own initiative within a challenging work environment.
• Strong team player with good organization, planning and leadership skills
• Excellent interpersonal skills, including oral/written communication & influencing skills
• Exceptional presentation, business writing and professional standards Good analytical, diagnostic and creative problem solving skills.
• Atleast one project experience in E-Commerce Domain.
• Must Have - Automation with Java, test framework, QA process & tools like Selenium, Jenkins, Maven, API testing, RESTAssured.
• Good to have Spring Boot.
• Good to have WebTestClient.