Senior Product Manager

Forward-deployed engineers (FDEs) are Mactores' services layer. You embed with the customer's team, own outcomes from discovery through the production cutover, and personally carry the delivery commitment.

The agent platform we deploy absorbs 60–70% of engagement work, discovery, assessment, design, and testing. You absorb the judgment: target architecture, refactoring trade-offs, model selection, cutover strategy, and the decisions an agent platform cannot make. The agent absorbs scale. You absorb judgment. 

This is not a staff-augmentation seat and not an advisory role. You ship.

What you will do?

• Deliver production agentic AI systems and AWS modernization engagements on committed dates across three pillars: Data Platform Modernization, Application & Database Modernization, and AI Agents for Apps.
• Build and productionize AI agents, orchestration, retrieval pipelines, evaluation harnesses, observability running against real customer data, not demo data.
• Convert existing products into agents: expose product functionality as callable tools for agent-to-agent composition, or replace form-and-click UX with agent-native, intent-driven interfaces.
• Convert existing Business processes into agents: expose process functionality as callable tools for agent-to-agent composition, or replace form-and-click UX with agent-native, intent-driven interfaces.
• Embed directly with customer engineering teams. Run architecture sessions, defend design decisions, and align stakeholders from VP Engineering to CTO.
• Make agent decisions traceable and defensible, validation runs in parallel with live workloads, and outputs hold up to internal audit and regulators (HIPAA, PCI-DSS, FSI-grade governance where the vertical demands it).
• Feed field experience back into the platform and practice: your deployment patterns, integration playbooks, and edge cases shape how we deliver.

What are we looking for?

• Excellent communication skills (English) — verbal and written. Non-negotiable. You will present architecture to customer CTOs, write documents that hold up in audit, and defend judgment calls in the room. If you can build but not explain, this role is not a fit.
• You have shipped production agentic AI systems on AWS. Not POCs, not notebooks — systems running in production for real users. This is the primary qualification. Be prepared to walk through what you shipped, the decisions you made, and what broke.
• Deep understanding of agentic architecture — you can design an agent system from first principles and explain why each component exists:
• Agent design patterns: single-agent vs. multi-agent systems, supervisor/orchestrator patterns, hierarchical agent topologies, planner–executor separation, and when each applies.
• Orchestration: building and operating orchestrator agents that decompose tasks, route work to specialist agents or tools, and manage state across multi-step workflows (LangGraph, Strands Agents, CrewAI, or equivalent).
• Memory: short-term/working memory (context management, conversation state) and long-term memory (episodic and semantic stores, vector- and graph-backed retrieval), and the production trade-offs of each.
• Reflection and self-correction: critique loops, self-evaluation, retry-with-feedback patterns, and evaluation harnesses that catch agent failures before customers do.
• Tool use and function calling: schema design, tool-selection reliability, error handling, and agent-to-agent composition.
• RAG and retrieval pipelines: chunking, embedding, hybrid retrieval, reranking, and grounding agent decisions in customer data.
• Strong AWS production experience: Amazon Bedrock and AWS AI services, plus core platform services (Lambda, API Gateway, DynamoDB, RDS/Aurora, Glue, EMR, Redshift, Kinesis, or similar depending on specialization).
• Solid software engineering fundamentals Python, TypeScript, CI/CD, infrastructure-as-code, testing-driven development discipline.
• Experience with data or application modernization (database migration, legacy refactoring, data platform builds) is a strong plus, since agents run against these workloads.
• Indicative experience: roughly 3–10 years in engineering roles, with agentic AI / GenAI as your current day job. We have demonstrated agent-native expertise over tenure — an engineer with 3–4 years of hands-on agentic AI work typically outperforms a 12-year generalist on this work.

You'll be preferred if you've:

• US English verbal and written fluency 
• Delivery experience in one or more of our verticals: Financial Services, Healthcare & Life Sciences, Internet & Software, Manufacturing, or Telco/Media/Entertainment/Gaming/Sports.
• Model tuning and fine-tuning: systematic prompt engineering and optimization; parameter-efficient fine-tuning (LoRA/QLoRA or similar); instruction tuning; working knowledge of RLHF/DPO; sound judgment on when to fine-tune vs. prompt vs. RAG; and evaluation of tuned models against baselines. Fine-tuning experience on Amazon Bedrock or SageMaker is a plus.
• Experience with compliance-sensitive AI systems (HIPAA, PCI-DSS, SOC 2, data residency).
• Knowledge graph, code-analysis (AST), or CDC/streaming experience (Debezium, Kafka/MSK).
• Solid software engineering fundamentals — Java, C++, Go Lang, .Net, Rust
• Prior customer-facing consulting or forward-deployed experience.
• AWS certifications (Solutions Architect Professional, Machine Learning Specialty, or Data Analytics).

Why This Role?

• You own outcomes, not tickets. FDEs carry the delivery commitment personally — architecture, judgment, and cutover are yours.
• You work agent-native from day one. Our delivery model would not function without agents. You build with the platform, not around it.
• You ship. Engagements measured in weeks to production, legacy retired, outcomes named. No archived pilots.
• You compound. Field delivery informs the Aedeon platform roadmap; the platform's growth expands what you can deliver. Few engineering roles sit in that loop.

Technical Sales Engineer | Elevator & Equipment Systems

• Drove sales growth by developing and executing technical sales strategies for elevator and equipment systems.
• Delivered technical presentations, product demonstrations, and solution briefings to prospective and existing clients.
• Conducted site visits and technical consultations to assess customer requirements and recommend tailored solutions.
• Prepared and presented commercial proposals, technical documentation, and detailed quotations.
• Managed technical sales projects from initial inquiry through order finalization, ensuring compliance with specifications and client expectations.
• Collaborated closely with engineering, design, and installation teams to ensure smooth project execution and timely delivery.
• Identified and resolved technical and application-related issues during the sales and project coordination stages.
• Analyzed market trends, competitor activities, and customer feedback to identify new business opportunities and improve sales strategies.
• Maintained accurate records of customer interactions, sales activities, and project progress using CRM systems.
• Prepared sales forecasts, performance reports, and pipeline updates for management review.

Mass hiring for Web Consultant /Senior Website Consultant to join our growing team at Starway Web Digital.

Job Title: Senior Website Consultant

Shift Time: 8:00 PM – 5:00 AM (US Shift)

Working Days: Monday to Friday

Weekends: Off

Monthly Salary: Rs.15,000 to Rs.40,000

Salary - 10% to 20% hike on last drawn salary.

Lucarative Incentives

On time salary

Location: Primac Tower, Salt Lake Sector V Kolkata

Requirements:

- Minimum 1 year of experience in website selling (mandatory).

- Strong proficiency in spoken and written English.

- Experience working in an outbound international B2B sales process.

- Excellent communication, negotiation, and persuasion skills.

- Ability to understand business needs and present relevant solutions.

- Comfortable working a night shift (US timing).

- Self-motivated, target-driven, and results-oriented mindset.

Incentives: Lucrative performance-based incentives

In this role, you will have the opportunity to:

• Use domain knowledge along with research and analytical skills for market sizing, market landscaping, workflow analysis, pricing analysis in the IT industry for SAAS Products
• Analyzing data, developing reports and dashboards, and communicating insights to the business. The role will stretch across the breadth of our organization and have both global and region-specific coverage
• Excel based analysis linking multiple data points to identify impactful insights and trends in data
• Present research findings to key stakeholders over PPTs  
• Data prep and QC as and when needed to ensure data accuracy
• Liaise with key senior business stakeholders to understand their business problems and propose analytical solutions.
• Blend technical analytics skills along with a strong domain/business understanding to help our marketing & commercial organizations take the right strategic decisions
• Build expertise on the market landscape in the context of the business, through individual learning and regular interactions with the team
• Supporting broader team programs, processes and simplification initiatives, as needed

The essential requirements of the job include:

• 2-5 years' experience in IT industry in Analytics; MBA would be an added advantage
• Demonstrated strong interpersonal & communication skills within a global environment (oral and written)
• Demonstrated experience in projects involving market sizing, market landscaping, workflow analysis and pricing analytics
• Comfortable handling big data in MS-Excel, creative in presentations, pulling together insights from a variety of sources with effective presentation and story boarding skills
• Problem solver accompanied by strong analytical and process skills, keen attention to detail, be highly organized and methodical
• Self-motivated, willingness to take the initiative to identify opportunities for improvement and take actions to improve

1. Very Strong hands-on knowledge of core PHP, MySql
2. Very Strong knowledge of JSON, JQuery, AJAX, HTML-5 CSS-3, JavaScript, Bootstrap
3. Very Strong knowledge of responsive websites
4. Knowledge of WordPress (added advantage)
5. Strong knowledge of cross-platform integration with various platforms
6. Excellent logical and analytical skills
7. Strong knowledge of IDEs being used in PHP development
8. Knowledge of PHP Frameworks will be an added advantage.
9. Strong knowledge and hands-on Oops concepts and MVC Design Patterns
10. Good knowledge of Data structures and algorithms.
11. Strong communication skills