
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.

About SmartDocs Business Solutions
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.
Candid answers by the company
SmartDocs is an AI-based enterprise software company that provides chatbots, BPM, and ECM solutions to streamline business processes and enable digital transformation
Company social profiles
Similar jobs
About the role:
Unico Connect is an Al-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Senior Al Engineer for a dedicated client engagement focused on building an Al-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code. The mandatory requirement for this role is hands-on production experience shipping LLMpowered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage. The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy. You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.
Responsibilities:
Agent architecture: Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions. Make and revisit architectural decisions on singleagent vs. multi-agent designs, including planner/executor splits and dedicated buildrepair sub-agents.
Code generation pipeline: Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit. Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies. Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.
Self-repair loop: Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation. This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.
Context management: Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval. Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes. Own token budgeting and prompt caching strategy.
Prompt engineering as a discipline: Own the system prompt and per-task prompt variants (new feature, bug fix, styling change). Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites. Version prompts like code with changelogs and rollback capability.
Evaluation and quality measurement: Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant. Define regression gates that block qualitydegrading changes from shipping. Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time. This responsibility is nonnegotiable at this level.
Model strategy and cost: Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation. Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection. Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.
Safety and reliability of agent behaviour: Defend against prompt injection from user content and fetched web content. Ensure secrets never appear in generated client code. Define what the agent's tools may and may not do in collaboration with the platform team. Contribute to output moderation and abuse-pattern awareness.
Mentorship and engineering standards: Run code reviews, define engineering conventions for Al work, and raise the engineering bar across the Al team. Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.
Requirements:
Hands-on production ownership of LLM-powered systems with agent architectures (mandatory). Must have personally shipped and operated at least one complex production Al system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost. POCs, internal demos, and tutorialgrade work do not qualify.
5+ years of professional software or Al engineering experience, with at least 3 years focused on LLM applications, Al engineering, or production Al systems. Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.
Strong Python proficiency and service development. Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging. Not notebook-only.
Depth across LLM APIs and agent systems. Production experience with at least two of OpenAl, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together). Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, Llamalndex Agents) or hand-rolled equivalent. Hands-on with tool calling, structured outputs, and multi-step reasoning.
Demonstrated, systematic evaluation practice - non-negotiable. Must have built evaluation harnesses that gate production releases, not ad-hoc testing. Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval. Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.
Cost discipline for production Al. Track record of measurable cost optimisation on production Al features. Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.
AWS working knowledge. Hands-on with EC2, S3, IAM, and Docker. Comfort with CI/CD workflows and deploying Al services.
Awareness of LLM security failure modes. Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.
Nice to have: experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work; MCP server authoring; open-source Al contributions; published technical writing on LLM systems; multi-modal model experience; fine-tuning exposure (LORA, QLORA, PEFT).
Role & Responsibilities
Contributes to the technical vision for an engineering team, aligning with company-wide strategies and goals.
Contributes to the design and development of robust, scalable, and user-friendly web applications.
Create innovative solutions using the latest technologies and tools for front end development and backend development.
Collaborate with product managers, designers, and engineers to define product direction and to deliver complex applications.
Conduct thorough code reviews and provide constructive feedback to ensure high-quality code.
Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.
Troubleshoot and debug complex issues in production environments, working closely with customer support and operations teams to ensure timely resolution and minimal disruption to business operations
• Analyze complex data sets to identify trends, patterns, and insights to drive business decisions.
• Collaborate with cross-functional teams in an Agile environment to define and implement data-driven solutions.
• Create and maintain detailed reports and dashboards to track key performance indicators (KPIs).
• Work closely with product owners, developers, and stakeholders to ensure data requirements are met effectively.
• Utilize Jira for task management, sprint planning, and tracking project progress.
• Provide guidance and mentorship to junior team members in data analysis techniques and best practices.
We're building a game tech platform for discovering and creating engaging gaming experiences.
We need a driven, enthusiastic and passionate Android developer who is still fascinated and excited about the potential of great apps and mobile-based games. Devs who are or have been gamers will be a better fit for this role. You'll build something that sits at the intersection of TikTok, Steam and Roblox.
We promise a great learning and working experience with a team of entrepreneurs, devs, gamers, animators, award-winning UI/UX designers and advisors who have been CXOs of billion-dollar companies. You'll be in the company of many highly accomplished yet humble individuals who want to build something amazing together.
We are building our platform with a mobile-first approach for the mobile-first world, so we naturally focus a lot on UI topics like intelligent user nudges, app micro-interactions and in-app animations far more than normal app dev roles. You'd have a fun-filled and fantastic growth curve with us.
We have built an interesting and engaging gaming-based culture and you'd be required to play games and build gaming experiences as a part of your job here.
Our startup hires with a talent-first approach and we value skill and drive levels far more than just brand-name colleges on your resume. We have hired many people from these top colleges, but we hired them purely based on their skills and cultural fit. We find it worth mentioning that many people from these top colleges couldn't make it through our interview process too.
We want this to be your first or second job and we'll work tirelessly to make this your last one.
About Mobiquity
Founded in 2011, Mobiquity provides end-to-end omnichannel digital consulting services to leading B2B and B2C brands (HealthCare, Banking, IoT, Big Data, and cutting edge Web & Mobile Applications). With over 750 employees spread across the USA, Europe, and India, 40 different nationalities combined; we create compelling digital experiences to help our clients create the best human-centric products. Our key competencies include Strategy, Design, Product Engineering, Analytics, and Cloud Services. Each day, 50 million users interact with our solutions.
Our teams are inspired by technology but it doesn’t rule them. We love to learn, we are curious by nature and driven to make a mark. Working at Mobiquity means that sometimes you’ll be working outside your comfort zone, and you’ll work with smart people, possibly some that are even smarter than you. We value people that judge their success by the success of the team and the happiness of customers.
We’re also proud to be an Amazon Web Services (AWS) Premier Consulting Partner. What you’ll be doing
- Work across multiple projects (sometimes also at customer side)
- Be a good team player
- Involve fully in hands-on development: using Java as the main programming language, plus Spring, Hibernate and other open source technologies
- Coach less experienced team members
- Know the importance of code quality and can apply properly the methodologies, such as TDD, Agile..
What it takes to excel in this role
- Java 11, JUnit, Spring, Hibernate, JDBC, Restful Services (Jersey or Spring MVC), ActiveMQ• Experience with at least one or two databases, such as MySql, PostgreSQL or Oracle• Experience with Microservices
- Test frameworks for TDD
- Fluent in English
Bonus
- Experience with integration frameworks such as Apache Camel or Mule
- Test frameworks for BDD
- Docker and Kubernetes
- Experience with Software Security
- NoSql Databases, such as Redis or Cassandra
- Experience with AWS
And if you have a passion for technology, then we’re looking for you!
| Job Description |
|
|
|
About the Company
InnKey is an integrated Hotel ERP on Cloud. We help mid-upscale Hotel Chains run their entire operations on a single platform completely on cloud. We cater to all the departments of a hotel ranging from Reservations and Front Desk to Housekeeping and Maintenance to Point of Sale and Banquets and Conferencing to Material Management and Purchasing to Financial Accounting and MIS.
Our entire solution is on Cloud making it accessible anytime and anywhere which completely changes the operational landscape for any Hotel Chain.
We aim to become a single point solution for every Hotel Chain whether they have 10 or 1000 hotels. Our goal is to help our customers streamline their operations, increase their topline and maximize their bottomline.
What You’ll Do:
- You’ll work with others to build new product features from start to finish: through conception, research, implementation and maintenance
- Ability to ship code that allows for high availability and good performance are a must in a mission critical software like ours
- Contribute to all phases of software development
- Be adaptable to work in a fast-paced environment
What We Are Looking For:
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
- Shipping quality user interfaces: You can work with others to build and maintain quality user interfaces for a big audience, using Web technologies like HTML, CSS, JavaScript, and a modern UI framework like Angular. If you've experienced the technical challenges of rapid growth, that's a plus.
- Familiarity with the backend: You understand how parts of a system fit together—from the user interface to the data model. Experienced candidates should be familiar with relational database systems like MS SQL and backend technologies like .NET
- Pragmatic and business-oriented: You care about the business impact of what you're building, and you prioritize projects accordingly. You're not just going after cool stuff—you understand the balance between craft, speed, and the bottom line.
- Team player: You understand when work is better, together. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.










