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SmartDocs Business Solutions
SmartDocs Business Solutions cover picture
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SmartDocs Business Solutions

https://smartdocs.ai
Founded :
2009
Type :
Services
Size :
100-1000
Stage :
Bootstrapped

About

SmartDocs is an AI-based enterprise software company that provides chatbots, BPM, and ECM solutions to streamline business processes and enable digital transformation. With deep integration to SAP ERP, SmartDocs offers comprehensive business solutions for finance, procurement, HR, and sales. Their software is available both as cloud-based and on-premise deployment models.

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SmartDocs is an AI-based enterprise software company that provides chatbots, BPM, and ECM solutions to streamline business processes and enable digital transformation

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Jobs at SmartDocs Business Solutions

SmartDocs Business Solutions
at SmartDocs Business Solutions
2 candid answers
Shruti Dubey
Posted by Shruti Dubey
Hyderabad
5 - 12 yrs
₹8L - ₹12L / yr
Digital Marketing
Marketing Automation
Marketing
Search Engine Optimization (SEO)
Google Tag Manager (GTM)

Job Title: Marketing Manager – US Market (Hybrid, Night Shift)

Location: Hyderabad, India

Shift: US Hours (3:00 PM – 1:00 AM IST)

Experience: 3–7 years

Mode: Hybrid (Office + Work from Home)

Job Overview

We are seeking an experienced Marketing Manager to lead demand generation and performance marketing initiatives focused on the US market. The ideal candidate will have strong expertise in developing and executing Go-To-Market (GTM) strategies, managing multi-channel campaigns, analytics, and delivering measurable ROI.

Key Responsibilities

·      Develop and implement GTM strategies tailored for US clients across various channels.

·      Plan, execute, and optimize campaigns across SEO, SEM, paid media, social media (Meta, LinkedIn, Instagram, YouTube), email, and retargeting.

·    Experience in setting up and managing tracking tools like Google Tag Manager, Microsoft Clarity etc... to monitor conversions and campaign performance.

·      Continuously optimize campaigns to maximize ROAS (Return on Ad Spend) and reduce CAC (Customer Acquisition Cost).

·      Drive conversion rate optimization (CRO) through A/B testing, landing page improvements, and funnel analysis.

·      Prepare and present detailed performance reports and insights for management review.

·      Must have experience in design & maintaining websites.

·      Collaborate closely with Founders and Directors to ensure lead attribution accuracy and pipeline alignment.

·      Knowledge of HIPAA-compliant marketing practices for healthcare accounts is a plus.

Required Skills & Qualifications

·      5–12 years of digital marketing experience managing US clients, preferably in demand generation and performance marketing.

·      Bachelor’s degree in any discipline.

·      Proven expertise in paid social campaigns, PPC, SEO, and paid media strategies.

·      Exposure to website designing.

·      Strong analytical, reporting, and communication skills.

·      Willingness to work in US shift hours (6 PM – 3 AM IST).

·      Professional communication and collaboration skills across organizational levels.


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SmartDocs Business Solutions
at SmartDocs Business Solutions
2 candid answers
Shruti Dubey
Posted by Shruti Dubey
Hyderabad
8 - 13 yrs
₹40L - ₹50L / yr
skill iconJava
skill iconSpring Boot
skill iconMongoDB
skill iconAngular (2+)
skill iconReact.js

Director of Engineering

Location: Hyderabad, India 

 Department: Engineering & Product Development 

Compensation: ₹40-50 LPA (Fixed)


About SmartDocs

SmartDocs is a 16-year-old, profitable, bootstrapped enterprise SaaS company providing procurement and spend management solutions to large enterprises globally. We compete head-to-head with SAP Ariba and Coupa, serving 26 enterprise customers—primarily major US infrastructure organizations whose operations depend on our platform processing millions of dollars in procurement transactions daily.

Our platform processes millions of dollars in procurement transactions for Fortune 500 companies. We're in the midst of an ambitious R&D transformation evolving from our successful bootstrapped roots to implement Silicon Valley-grade engineering operations, processes, and excellence.

This is not a corporate job. This is a builder's role.


People who were associated with US tolling system, spend management platform or Vendor Management system is highly preferable.


Who We're Looking For


The Ideal Background

We're specifically seeking technical leaders with entrepreneurial battle scars—those who've been founding engineers, technical co-founders, or early engineering leaders who built something from scratch. You understand what it takes to ship quality software when every decision matters. You've made tough technical calls with real consequences. You know the difference between perfectionism and pragmatism because you've lived both.


You might be


•       A technical co-founder or founding engineer who took a startup from idea to production

•       An early engineering leader (first 5-10 hires) who architected and scaled a product

•       A tech-savvy entrepreneur who built and shipped a technical product to real customers

•       A CTO or Engineering Director from a bootstrapped, capital-efficient company

•       Someone who worked shoulder-to-shoulder with founders/CEOs on mission-critical applications where system reliability directly impacted business survival



What matters most: You've built something significant with your own hands, made critical technical decisions with constrained resources, and understand the weight of engineering choices when real customers and revenue depend on your platform.



We value entrepreneurial experience—whether your venture achieved unicorn status, profitability, got acquired, or taught you invaluable lessons through a pivot or wind-down. What we care about is that you were in the arena making things happen.

The Technical Must-Haves

This isn't about checking boxes—we need someone who can actually architect, build, and fix things when necessary:


Core Technical Requirements

•       7-15 years of hands-on software engineering experience

•       Someone who have experience with products or projects in US tolling system, Vendor management system or spend Management.

•       Expert-level proficiency in:

• Java and Spring Boot (not just familiarity—you've architected and built production systems)

• MongoDB (you understand document design, indexing, performance optimization)

• React or Angular (you can jump into frontend code when needed)

•       Exposure to Azure (VMs, cloud services, deployments)

•       Experience with mission-critical applications where system failures have serious business consequences

•       3-5+ years leading engineering teams—you've managed managers and scaled teams


The "Founder/Builder" Technical DNA

•       You've written production code recently—not just reviewed it from a distance

•       You understand technical debt as business trade-offs, not engineering failures

•       You've made build-vs-buy decisions with real budget constraints

•       You know how to extract maximum value from lean teams

•       You've shipped features with imperfect information and learned fast

•       You've worked directly with business stakeholders (founders, CEOs, customers) translating technical complexity into business outcomes


The Role: What You'll Actually Do

Engineering Leadership (Not Just Management)

•       Lead 4 engineering managers and 15+ engineers building our Java/Spring Boot/MongoDB/Angular platform

•       Own end-to-end execution: from sprint planning to production deployment to customer success

•       Make real-time technical decisions—architecture reviews, production incident response, technical feasibility assessments

•       Balance feature delivery against technical debt with P&L consciousness (like an owner, not just an employee)

•       Roll up your sleeves when critical issues need senior technical intervention

Building World-Class Operations (Without Corporate Bureaucracy)

•       Implement engineering processes that actually improve velocity (not ones that look good on slides)

•       Establish meaningful metrics—code quality, deployment frequency, incident response times, team velocity

•       Build CI/CD pipelines, automated testing, and deployment automation from scratch or improve existing ones

•       Create engineering standards that balance enterprise requirements with startup agility

•       Scale processes from 15 to 50+ engineers without losing execution speed or creating red tape

Strategic Partnership with Leadership

• Report directly to our CTO—partner on technical strategy and architecture decisions

•   Work closely with CEO on company trajectory, R&D transformation, and growth initiatives

• Translate technical constraints and opportunities into business language for stakeholders

• Collaborate with Product Management on roadmap prioritization and technical feasibility

•  Coordinate with US-based customers on implementations, integrations, and technical requirements

Technical Transformation Initiatives

• Consolidate customer-specific code branches into unified, maintainable codebase

•  Reduce technical debt systematically without stalling feature delivery

• Modernize legacy components while maintaining 99.9% uptime for enterprise customers

•  Build scalable architecture that supports future growth without over-engineering

•  Drive adoption of modern development practices that fit our business reality

What Success Looks Like

In 90 Days:

• Built credibility with the team through technical competence and decisive action

•  Identified top 3-5 process improvements and started implementation

•  Resolved at least one critical technical issue that was blocking progress

•       Established clear communication rhythms with engineering managers, CTO, and CEO

In 6 Months:

•       Engineering velocity measurably improved with new processes yielding results

•       Technical debt reduction roadmap defined and actively in execution

•       Team morale demonstrably high—engineers respect your technical judgment and leadership

•       Quick wins delivered that prove your impact to the business

In 12 Months:

•       Engineering organization operates with startup efficiency and enterprise reliability

•       Processes scale to support 30-50 engineers without adding bureaucracy

•       Technical foundation is solid for next phase of company growth

•       You're the technical leader the CEO and CTO depend on for critical decisions

•       You're thinking like a business owner, not just an engineering leader

What Makes Someone Right for This

Must-Have Qualities

✅  Execution obsession – You ship. You don't just plan, discuss, and strategize endlessly.

✅  Technical credibility – Engineers respect you because you can do the work, not just manage it.

✅  Owner mentality – You think about ROI, customer impact, and business outcomes.

✅  Comfort with ambiguity – You've operated without perfect processes or unlimited resources.

✅  Direct communication – You tell it straight, especially when delivering hard truths to leadership.

✅  Customer empathy – You've felt the pain of production incidents affecting real users and business operations.

✅  Pragmatic perfectionism – You know when "good enough now" beats "perfect later."

✅  Strategic thinking – You connect engineering decisions to business outcomes naturally.

Deal-Breakers

❌  Pure "process people" who've never written production code or made technical decisions under pressure

❌  Leaders who need perfect information before making decisions

❌  Those seeking predictable 9-to-5 corporate roles with clearly defined swim lanes

❌  Anyone uncomfortable with hands-on technical work when business needs demand it

❌  Leaders who create process for process's sake rather than business value

❌  People who see engineering as separate from business success

Why This Opportunity is Different

It's Real

•       Profitable company – 16 years, real revenue, real customers (not burning through funding rounds)

•       Enterprise customers – Major US infrastructure organizations depend on our platform for daily operations

•       Mission-critical systems – When we go down, procurement operations for major infrastructure companies stop

•       Technical challenges – Scaling, modernization, integration complexity—substantive engineering problems

•       Proven product-market fit – We're not searching for PMF; we're scaling what works

It's Rare

•       Bootstrapped DNA – We think like owners, not corporate employees spending someone else's money

•       Transformation opportunity – Build Silicon Valley-grade engineering in a profitable, established company

•       Direct impact – Your decisions directly affect company trajectory and customer success

•       Leadership access – Work directly with CEO and CTO, no layers of middle management or politics

•       Entrepreneurial environment – In a company with stability, revenue, and runway

It's Yours to Build

•       Autonomy – Implement processes your way (as long as they deliver results)

•       Growth path – Scale team from 15 to 50+ engineers as you prove the model works

•       Culture creation – Define the engineering culture and standards that will shape the company's future

•       Long-term impact – This is a career-defining role, not a stepping stone or a layover

•       Ownership mindset – Treated like a business partner, not just a hired hand

What We Offer

Compensation & Structure

•       ₹40-50 LPA (Fixed) based on experience, background, and entrepreneurial track record

•       Performance-based bonus tied to engineering KPIs, team performance, and company success

Professional Growth

•       Direct partnership with CEO and CTO on strategic initiatives and company direction

•       Budget for conferences, certifications, and continuous learning

•       Opportunity to build and lead team from 15 to 50+ engineers

•       Work on enterprise-scale technical challenges serving major enterprises

•       Shape the technical future of a company with real momentum

Work Environment

•       On-site in Hyderabad with our core R&D team

•       Sustainable pace—we value intensity and focus during work hours, not burnout culture

•       Collaborative environment with low politics, high ownership, and straight talk

•       No VC pressure, unrealistic growth targets, or quarterly fire drills

•       Work with people who've chosen to be here, not waiting for their next opportunity

Stability Meets Opportunity

•       Profitable company with 16-year track record

•       Established customer base generating predictable revenue

•       Growth trajectory that's ambitious but sustainable

•       Resources to invest in the right talent and technology

Our Tech Stack

Current State:

•       Backend: Java, Spring Boot

•       Frontend: Angular

•       Database: MongoDB (Atlas)

•       Infrastructure: Microsoft Azure (VMs)

•       Integration: REST APIs, enterprise connectors

•       Serving: Enterprise companies across US time zones

Where We're Going (with your leadership):

•       Unified codebase consolidation across customer implementations

•       Modern CI/CD and deployment automation

•       API-first architecture for seamless integrations

•       Enhanced observability, monitoring, and incident response

•       Multi-tenant platform evolution (longer-term strategic initiative)

•       Whatever improvements you identify that drive business value


SmartDocs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We especially welcome applications from those who've taken entrepreneurial risks, built things from scratch, learned from both successes and setbacks, and are ready to channel that experience into building something exceptional with staying power.

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SmartDocs Business Solutions
at SmartDocs Business Solutions
2 candid answers
Shruti Dubey
Posted by Shruti Dubey
Remote, Hyderabad
0 - 6 yrs
₹6L - ₹20L / yr
Artificial Intelligence (AI)
Generative AI
SAS
Chemberta
Large Language Models (LLM)
+3 more

Job Description – AI Developer

Job Description 

We are seeking a forward-thinking AI Developer with expertise in Generative AI, Machine Learning, Data Science, and Advanced Analytics. In this role, you will design, optimize, and deploy scalable AI solutions that power automation, personalization, and decision intelligence. You will closely collaborate with data engineers, product leaders, and business stakeholders to develop production-grade AI systems aligned with the latest enterprise AI trends such as LLM, prompt engineering, multimodal AI, and trustworthy/ethical AI practices.

This is a unique opportunity to work at the forefront of AI innovation, shaping high-impact solutions that address real-world challenges across industries.

Key Responsibilities

  • Design and deploy advanced Generative AI models including LLMs, diffusion models, and multimodal architectures.
  • Develop and fine-tune ML/DL solutions for NLP, computer vision, time-series forecasting, and predictive analytics.
  • Implement RAG pipelines, embeddings-based search, and knowledge graph integrations to enhance context-aware AI applications.
  • Stay ahead of AI research, industry trends, and tools (multi-agent systems, federated learning, privacy-preserving ML).

What we are looking for

  • Strong programming background in Python (primary), R & Familiar with Object Oriented Programming Language.
  • Proficiency in any of the framework PyTorch, TensorFlow, SAS, ChemBerta.
  • Expertise in Machine Learning & Deep Learning.
  • Strong grounding in mathematics & applied statistics (linear algebra, probability, optimization).

Qualifications

  • Bachelor’s, Master’s, in Computer Science, Artificial Intelligence, Data Science, or related fields. We also welcome PhD scholars.
  • 0–6 years of proven experience into AI development, optimization, and production deployment.

Preferred / Nice to Have

  • Someone who is passionate about GEN AI is ideal candidate & did Research contributions or open-source AI project contributions.
  • Exposure to multimodal AI, agent-based systems, or reinforcement learning.
  • Knowledge of AI safety, interpretability frameworks, and responsible AI practices.


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