Product Manager

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.

Job Summary:

We are looking for a creative and detail-oriented Graphic Designer to join our team. The ideal candidate should have a strong eye for design, branding, and visual storytelling, and be able to create engaging creatives across digital and print platforms.

Key Responsibilities:

• Create visually appealing designs for social media, websites, marketing campaigns, and branding materials
• Design graphics, banners, posters, brochures, presentations, and other promotional collateral
• Develop creative concepts aligned with brand guidelines and campaign objectives
• Edit and create visual content for digital marketing initiatives
• Collaborate with the marketing, content, and social media teams for campaign execution
• Work on logo design, brand identity, and packaging design (if required)
• Ensure all designs are delivered on time and maintain quality standards
• Stay updated with industry trends, design tools, and creative best practices

Requirements:

• Bachelor’s degree/diploma in Graphic Design, Visual Arts, or related field (preferred)
• 1–3+ years of experience in graphic designing (can be adjusted as needed)
• Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign)
• Knowledge of Canva, Figma, Premiere Pro/After Effects is a plus
• Strong portfolio showcasing creative and branding work
• Good understanding of typography, color theory, layout, and visual hierarchy
• Ability to manage multiple projects and meet deadlines

Preferred Skills:

• Motion graphics/video editing knowledge is a plus
• Understanding of social media trends and digital content formats
• Creative thinking with attention to detail
• Good communication and teamwork skills

Job Title: HR Executive

Location: Gurugram

Company: Rapidsoft Technologies

Experience: 2+ Years

Job Summary:

We are looking for an HR Executive with strong exposure to HR Operations, Recruitment, and Generalist functions. The role requires hands-on experience in managing day-to-day HR activities and supporting business needs.

Key Responsibilities:

HR Operations (60%)

Manage attendance, leave, payroll coordination, and HR documentation

Handle onboarding, offboarding, and employee records

Ensure compliance with company HR policies and procedures

Recruitment (30%)

Source, screen, and coordinate interviews for open positions

Manage end-to-end hiring for junior and mid-level roles

Maintain recruitment trackers and candidate databases

HR Generalist (10%)

Address employee queries and support engagement initiatives

Assist in performance management and HR reporting

Requirements:

2+ years of experience in HR operations and recruitment

Strong knowledge of HR processes and labor practices

Good communication and coordination skills

Proficient in MS Excel and HR documentation

Experience in IT/Technology company

Python Developer 

Location: Hyderabad (Apple Office)

Experience: 8+ years (Retail / E-commerce preferred)

Budget- 1.9 lpm + GST

Contract: 1 Year + Extendable

Job Responsibilities / Requirements:

• 8+ years of proven experience, preferably in retail or e-commerce environments.
• Strong expertise in Python development.
• Excellent communication skills with the ability to collaborate across multiple teams.
• Hands-on experience with Container & Orchestration: Kubernetes, Docker.
• Expertise in Infrastructure Automation via Kubernetes YAML configurations.
• Strong skills in Scripting & Automation: Python, Shell Scripts (Bash).
• Familiarity with CI/CD Pipelines: GitHub Actions, Jenkins.
• Experience with Monitoring & Logging: Splunk, Grafana.
• Immediate Joiners Preferred – Urgent Support Required.

ROLES AND RESPONSIBILITIES

We are looking for an experienced Logistics Executive with 5 years of proven expertise in managing end-to-end logistics operations, transportation coordination, warehouse management, and supply chain optimization. The ideal candidate should have strong analytical, coordination, and problem-solving skills, with a solid understanding of logistics software and industry best practices.

• Plan, implement, and monitor inbound and outbound logistics operations.
• Coordinate with suppliers, transporters, warehouses, and internal departments to ensure smooth and timely deliveries.
• Optimize transportation costs and delivery timelines through effective route planning and carrier negotiation.
• Monitor inventory levels, stock movements, and ensure proper documentation and record-keeping.
• Track shipments and resolve issues related to delays, damages, or losses.
• Analyze logistics data and prepare regular reports on KPIs (cost, delivery times, inventory levels, etc.).
• Continuously improve processes to increase efficiency and reduce operational costs.
• Use ERP/logistics software (e.g., SAP, Oracle, TMS, WMS) for planning and execution.
• Bachelor’s degree in Logistics, Supply Chain Management, Business Administration, or a related field.
• 5 years of hands-on experience in logistics or supply chain roles.
• Knowledge of logistics procedures, transportation management, and inventory control.

Key Responsibilities:

Answer phones and respond to emails,

providing information or redirecting queries to appropriate departments or personnel.

International Voice Process

Timing: 6.00 pm to 3.00 pm

Only Male Candidate

We are looking for an enthusiastic U.S. Sales Channel Partner Intern In the U.S.A who can run and manage the sales drive for Spacenos and help us obtain clients.

Skills Required

• Strong Interpersonal Skills.
• Strong  Self Motivation.
• Strong Convincing Ability.

Roles and Responsibilities

• Manage and lead complete sales drives in the U.S.A.
• Observing and carrying out sales processes.
• Updating documents and sales records.
• Reviewing sales performance against sales targets.
• Finding U.S.A clients and getting service contracts in software from them.
• Identifying potential weaknesses and offering improvement suggestions.

Payscale

• Commision based - 10% to 15% of the total revenue brought in by you. 

About Us:

Spacenos is the fastest-growing start-up which is innovating in the finance, edtech and marketing domain since 2015 and won multiple awards and recognitions from more than 40+ MNCs and Fortune 500 companies. Our Clients are based out of the U.S.A and Australia. We are funded & Supported by Government of Karnataka, Angel Investors and International Grants.

Hiring Process:

• Apply for your CV and past work to be reviewed.
• Receive a telephonic interview or assessment upon filling the final step form.
• Receive offer letter if selected.   

Apply soon, the earliest applicant would be preferred over the late applicants.