Account Manager - Digital Growth

Strong Sales / BD Leader, with strong exposure to Staffing and Recruitment industry Profile

Mandatory (Experience) : Must have 6+ YOE in B2B Sales, with recent 3+ years in Sales for IT Staffing / Recruitment services

Mandatory (Sales Skills) : Must have proven experience acquiring and closing large enterprise clients (eg: morgan stanley , uber , nutanix walmart..etc)

Mandatory (Ownership) : Must have experience of handling end-to-end sales (prospecting → pitching → commercials → closure)

Mandatory (Strategy) : Must have experience in pricing, competitor analysis, driving innovative sales strategies and differentiating between niche and non-niche hiring

Mandatory (Network) : Must have existing relationships with decision-makers in Tech / Product companies (HR, TA Heads, Business Heads, etc.)

Mandatory (Company) : Staffing firms, Recruitment firms, Talent solutions companies

Mandatory (Note 1) :This is currently an IC role but open to both individual contributors and leadership profiles (team building expected over time)

Mandatory (Note 2) : Ensure that the resume shows proper metrics as a proof of impact (e.g. revenue generated, number of engineers placed per account, size of deal, number of clients)

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.

Key Responsibilities:

² Develop and maintain responsive web applications using React.

² Collaborate with UX/UI designers to translate wireframes and mockups into functional code.

² Optimize applications for maximum speed and scalability.

² Write clean, maintainable, and efficient code following best practices.

² Participate in code reviews and contribute to team knowledge sharing.

² Troubleshoot and debug applications to enhance performance.

² Stay up-to-date with the latest industry trends and technologies to ensure our tech stack remains cutting-edge.

Qualifications:

² Current SDE 3 designation or equivalent experience in a senior development role.

² 5+ years of experience in software development, with a strong focus on frontend technologies, particularly React.

² Proficiency in JavaScript (ES6+), HTML, and CSS, with a deep understanding of modern web development practices.

² Experience with state management libraries (e.g., Redux, MobX) and routing solutions.

² Strong knowledge of RESTful APIs and experience with modern build tools (Webpack, Babel).

² Experience with testing frameworks (e.g., Jest, React Testing Library) and test-driven development (TDD).

² Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

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.

- Budget - Up to 7.5 LPA + Incentives for experienced candidates and Fixed compensation of 5 LPA + incentives to Freshers.
- Location - Gurugram/Bangalore (Work From Home Until Further Notice) 

Ed-Tech Experience (Preferable, Not Mandatory)

Roles and Responsibilities : 

Your primary job responsibility will include (and not limited to): 

• Driving inquiries and admissions for the online and blended learning programs offered
• Looking after the entire sales lifecycle: starting from engaging with leads till the final conversion
• Counseling professionals via call, email, or in-person and suggesting the best course for prospective students
• Updating and maintaining MIS reports
• Coordinating with the marketing team to fine-tune marketing plans related to admissions
• The Employee will be involved in inside sales.

Skills : 

- A graduate.

- Prior experience in sales preferred.

- Freshers (Some internship experience should be there)

- Excellent interpersonal and communication skills.

6 - 12 years of professional experience with any of the below stacks:  

∙MERN stack: JavaScript - MongoDB - Express - ReactJS - Node,  

∙MEAN stack: JavaScript - MongoDB - Express - AngularJS - Node.js

Requirements:

∙Professional experience with JavaScript and associated web technologies (CSS, semantic HTML). 

∙Proficiency in the English language, both written and verbal, sufficient for success in a remote and largely asynchronous work environment. 

∙Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions. 

∙Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems. 

∙Comfort working in a highly agile software development process. 

∙Positive and solution-oriented mindset. 

∙Experience owning a project from concept to production, including proposal, discussion, and execution. 

∙Strong sense of ownership with the eagerness to design and deliver significant and impactful technology solutions. 

∙Demonstrated ability to work closely with other parts of the organization.

• Minimum of 1+ years PHP web development experience
• As a PHP developer your duties would primarily consist of developing new projects built using PHP-based frameworks/platforms, writing custom code, and architect new solutions for prospective clients.
• Expert with PHP object-oriented programming & MVC applications
• Familiarity with automated deployment strategies
• Solutions-oriented thinking; always looking for the smart solution to a problem rather than jumping at the first answer
• Salary is negotiable depending on the experience

Manager- Talent Acquisition

Who we are?

At Edge, we believe simplifying employee data will help large corporates solve sub-optimal talent management problems. This data is more critical after the pandemic, as managing a remote workforce has shifted from optional to essential.

We have spent our last eight years understanding the workforce from the IT and BFSI industries. We have used this employee data to create a sophisticated intelligence. This brain behind our AI-based products is called EdGE graph™. We have used 11 million job descriptions and more than 30 million profiles to build the graph.

Our products like Pathfinder, Recruit and Mobility are deployed in IT companies like Wipro, HCL, UST Global, etc. and help them upskill, invest, and maintain their existing people. It has helped organisations improve their workforce availability, billing, allocations and drive straight bottom-line impacts. The new order of talent decisions helps us define, identify, and plan for a future-ready workforce.

We build end-to-end talent management products for organisations so that they have a 360-degree view of their talent supply chain. This helps them make informed talent decisions efficiently and build an intelligent workforce.

We built Edge Networks in 2012 in an apartment in Bangalore and soon, were supported by the National Skill Development Corporation of India (NSDC). We are a part of the NASSCOM Product Council and have been recognized by Gartner, Deloitte, Equidam, NVIDIA, Amazon as an innovative tech HR startup in various titles.

At Edge, we understand that modern companies that put the employees at the center of their workings, backed with data, will make their organisation productive. This is how we, at Edge, use tech for good.

Role:

As a Manager -Talent Acquisition you will be responsible to take care of all the recruitment related activities for the organization both Tech and non- tech. You will also be responsible to drive the entire function independently and manage stakeholders as well. Work very closely with the HRBP to manage risk and work on succession planning. You will be the first point of contact for the probable candidates for the organization and drive the company’s brand value. 

Traits that you have

A team player – I know we only win if we all win. I recognise and value the different perspectives and skills my squad mates bring. It is not about being a hero but jumping in and contributing to the successful delivery of our mission.

An excellent communicator – I know and understand the importance of clear, on-time communication. My spoken and written communication skills stand out for clarity and conciseness.  

A collaboration champion – I work closely with my colleagues to ensure alignment and champion the sharing of learning across teams.

Comfortable being uncomfortable – I am comfortable with uncertainty. I have the ability to effectively manage myself through ambiguity by making meaning, building relationships and creating clarity with my peers.

Continuous improvement junkie – I constructively challenge the status quo, I look for better ways of doing things and passionately advocate continuous improvement.

Committed to my own and others’ growth – I strive to stretch and grow myself and others by identifying my own development areas, seeking feedback, and providing feedback to others to help them learn and grow every day.

A problem solver – I am energised by tackling complex problems. I use my critical thinking, network, skills, knowledge, and available data to drive better outcomes for our customers and the product.

Commercially and Tech curious – I have a wide-angle lens. I am curious about what is happening in the external market and in emerging trends and innovations (technological and otherwise) and how we use this information to better inform our decisions and actions.

Risk savvy – I build sustainable solutions that protect stakeholders and customers and proactively address risks by role-modelling improvements in the product’s overall risk and control environment.

Responsibilities:

• Responsible for taking care of end-end recruitment process across the organization which will include tech and non-tech roles across all job levels till on-boarding.
• Work very closely with the stakeholders to understand their requirements and work consultatively giving suggestions on market availability of talent, market dynamics, salary ranges and competitive salary packages.
• Maintain HR metrics like – Cost per hire, Quality of hire etc
• Create a continuous pipeline of candidates with passive job seekers to maintain a relevant talent pool.

Role Skills:

• 5+ years of experience in Talent acquisition with relevant industry hiring.
• Should have worked and scaled teams in startups.
• Subject matter expert in defining the roles for different line of businesses
• Independently managed stakeholders and worked closely on the hiring needs
• Excellent communication skills
• Hands on excel skills to build dashboards and excel reports.
• Bachelor’s/ Master’s degree in computer science or related streams is preferable.