Technical SEO

Run delivery for 15–25 backend, frontend, and AI engineers building construction- tech and CAD drawing-automation software — with structural engineers on one side of you and the codebase on the other. Must have Hands-on familiarity with AutoCAD, Revit or experience at a product company in the CAD / AutoCAD / BIM / PLM / EDA /simulation space

Role overview-

We are hiring one Technical Product Manager to own delivery across our engineering teams in Bengaluru. You will run 15–25 engineers across backend, frontend, and AI workstreams, and you will be the person who turns requirements originating with our structural and detailing engineers into scoped, sequenced, shipped software.

This is a technical role. You will not be handed a groomed backlog and asked to move cards across it. You will sit in the design discussion and have a view on how and when — you will push back on an approach that will not scale, ask why a trade-off was made, and know the

difference between a two-day change and a two-sprint one. You are not expected to write production code. You are expected to read it, understand the system, and never be the least- informed person in a technical conversation you are chairing

What you’ll own- Delivery ownership

• Own the end-to-end delivery plan for every active workstream — scope, sequence,dependencies, capacity, and dates that actually hold.
• Break large, ambiguous product intent into engineering-sized increments with explicit acceptance criteria, agreed with the people who will build them.
• Run the operating cadence: planning, standups, refinement, demos, and retrospectives that change something the following week.
• Maintain one honest view of status — on track, at risk, slipped, and why — visible to the founders and to the team at the same time.
• Manage cross-team dependencies between backend, frontend, AI, and drawing-automation workstreams so no team idles waiting on another.
• Surface risk early, quantify it, and arrive with options — never an escalation without a proposal.
• Protect the team from thrash: absorb changing priorities, re-plan properly, and say no or not now when a plan cannot take more.
• Drive releases to genuinely done — QA, UAT with domain experts, documentation, and post- release verification included.
• Own and improve the delivery metrics that matter: cycle time, predictability of committed scope, defect escape rate, and rework.
• Run the release calendar across two products so neither becomes the permanent second priority.

The floor & the team.

Our requirements do not come from a product spec written in a vacuum. They come from structural and detailing engineers sitting on the floor with decades of practice behind them. Converting that into software is the defining skill of this job.

• Partner with structural and detailing engineers to turn drawing standards, project practice, and domain expectation into unambiguous, implementable requirements
• Run requirement sessions whose output is a written spec — sample data, expected output,edge cases, and explicit non-goals — not a shared verbal understanding.
• Arbitrate the constant gap between “how it has always been done on site” and “what can be deterministically automated.”
• Set up validation loops so domain experts review generated output early and repeatedly, rather than at the end of a sprint.
• Maintain a decision log for domain rules so the same question is not re-litigated three sprints later by different people.
• Manage internal stakeholder expectations and, where relevant, commitments made to customers.
• Spot when a “small clarification” is actually a scope change, and handle it as one.
• Make sure engineers get access to the domain expert directly — your job is to structure that contact, not to become a relay in the middle of it.

Challenges you’ll solve.

We prefer to be candid. These are the problems that make this role genuinely difficult — and genuinely interesting.

Domain knowledge that arrives as tribal knowledge

Our structural and detailing engineers know what a correct drawing looks like, but much of that knowledge is tacit. Your job is to extract it into deterministic, testable rules before an engineer starts building. Getting this wrong is the single most expensive failure mode we have

— it produces work that looks finished and is not.

Three disciplines, one release

Backend (AWS serverless), frontend (Angular / React), and AI engineers ship into the same

product. They have different failure modes, different testing regimes, and different natural cadences. Sequencing them so nobody idles and nothing integrates late is the core scheduling problem here.

Correctness is not negotiable

This is construction software. A wrong drawing, a wrong quantity, a wrong permission, or a wrong payroll figure has consequences outside the screen. “Ship it and iterate” has limits here, and you will need judgement about exactly where those limits sit for each workstream.

AI workstreams do not estimate like CRUD

Drawing generation and extraction work is research-shaped: some weeks produce a breakthrough, some produce a negative result. You will plan around that uncertainty honestly— with timeboxes, decision points, and fallbacks — instead of pretending an unknown is a two-

week ticket.

Live customers, finite engineers

Companies run their operations on this platform daily. Production incidents, customer escalations, and enterprise integrations (Asite, Autodesk Construction Cloud) compete with roadmap work for exactly the same people. You will make that trade-off explicitly, every week,

and be able to defend it.

Two products, one organisation

The operations platform and the drawing-automation platform have different customers, different rhythms, and partly shared people. Keeping both moving — without either becoming the perpetual second priority — is a standing constraint on every plan you make.

Founder-adjacent, fast-changing priorities

Direction can change on new customer information, and sometimes it should. You are the shock absorber: re-plan quickly, communicate the change clearly and once, and make sure the team experiences it as a decision rather than as chaos.

Qualifications.

• 6–7 years minimum in software delivery, including at least 4 years directly managing engineering teams as a project, delivery, or engineering program manager.
• Proven experience running teams of 10+ engineers across more than one discipline —backend, frontend, mobile, data, or AI.
• Fluency in modern delivery practice — Agile / Scrum or Kanban applied with judgement rather than ceremony — plus genuine facility with Jira or Linear, Git workflows, CI/CD, and release management.

Strongly preferred

• Experience at a product company in the CAD / AutoCAD / BIM / PLM / EDA /simulation space — Autodesk, Bentley, Dassault, Siemens, PTC, Trimble, Hexagon, Ansys or similar.
• Exposure to AEC, construction tech, manufacturing, or industrial software where domain correctness matters more than interface polish.
• Experience managing teams that included AI / ML engineers alongside conventional product engineers.
• Hands-on familiarity with AutoCAD, Revit, Civil 3D, Tekla, or DXF / drawing-export workflows.

The bar, the process, the offer.

The manager we’re looking for

Technical enough to be trusted

Engineers respect the questions you ask, not just the dates you set.

Owns outcomes, not activity

Measures the job by what shipped and worked, not by how busy the board looked.

Direct and specific

Says the uncomfortable thing early, in plain language, to the person who needs to hear it.

Reduces chaos

Leaves every process, plan, and handoff simpler than they found it.

Holds opinions loosely

Strong views on how to run delivery, updated when the evidence changes.

Raises the standard around them

The team becomes more predictable and more capable because you are in it.

Join Hutech Solutions – Innovate, Lead, and Transform!

We are a global AI-driven software services and product engineering powerhouse, founded and led by

visionary technology leaders from Walmart. We are redefining the future of technology by building

next-gen solutions that empower businesses across Banking, Finance, eCommerce, and Logistics

industries.

At Hutech, we don’t just build software—we create impact. Our culture fosters innovation, creativity,

and continuous learning, enabling our team to push boundaries and solve real-world challenges using

cutting-edge AI tools and techniques.

Position Summary

We are looking for a skilled Data Engineer with strong expertise in Amazon Redshift, advanced SQL,

and data modelling to design, build, and optimize scalable data platforms on AWS. The ideal

candidate will play a key role in developing reliable data pipelines, enforcing data quality standards,

and enabling analytics and reporting across the organization.

Key Responsibilities

● Design, build, and optimize data models (fact/dimension, star/snowflake schemas) with a

strong focus on performance and scalability.

● Develop and maintain complex SQL queries in Amazon Redshift for analytics, reporting, and

downstream consumption.

● Optimize Redshift performance using distribution styles, sort keys, query tuning, and workload

management (WLM).

● Build and orchestrate scalable data pipelines using AWS Glue, Amazon EMR, Apache Spark,

and Airflow.

● Implement data quality checks, validation rules, and monitoring frameworks to ensure

accuracy and consistency.

● Work closely with analytics, BI, and business teams to translate requirements into robust data

solutions.

● Manage and optimize data storage and movement using Amazon S3.

● Ensure best practices in data security, governance, and documentation.

● Troubleshoot data issues and provide root-cause analysis and long-term fixes.

Required Qualifications

● Bachelor’s degree in Computer Science, Engineering, or a related field

● 3–5 years of hands-on experience in data engineering

● Strong advanced SQL skills (mandatory) with deep experience in Amazon Redshift

● Proven expertise in data modeling for analytical workloads

● Strong understanding of AWS data services, including: Amazon Redshift, AWS Glue, AmazonS3, Amazon EMR

● Experience with data pipeline and workflow orchestration tools such as Apache Airflow

● Hands-on experience with Apache Spark

● Proficiency in at least one programming/scripting language such as Python, Java, or Scala

● Solid understanding of data quality, validation, and best practices

Nice to have

● Experience designing large-scale analytics and reporting platforms

● Familiarity with BI tools and downstream analytics use cases

● Experience with cost optimization and performance tuning on AWS

● Exposure to CI/CD for data pipelines

Key Skills

● Amazon Redshift (SQL – Advanced)

● Data Modeling (Analytics-focused)

● AWS (S3, Glue, EMR)

● Apache Airflow

● Apache Spark

● Python / Java / Scala

● Data Quality & Optimization

Key Responsibilities:

·        Build a clear product vision and define the roadmap aligned with company goals.

·        Drive the product lifecycle from ideation to launch and beyond.

·        Conduct market research, competitor analysis and gather customer feedback to identify opportunities.

·        Collaborate with cross-functional teams — engineering, design, sales and marketing — to deliver high-quality products on time.

·        Prioritize features based on business value and customer impact.

·        Define product requirements (PRDs, user stories) and manage sprint planning.

·        Monitor product performance metrics and continuously optimize for improvement.

·        Work closely with stakeholders to ensure strategic alignment and successful go-to-market execution.

Stay updated with industry trends and emerging technologies.

About AiSensy

AiSensy is a WhatsApp based Marketing & Engagement platform helping 

businesses like Skullcandy, Vivo, Rentomojo, Physicswallah, Cosco grow 

their revenues via WhatsApp.

Why AiSensy?

AiSensy is building for the next wave of WhatsApp Engagement between 

Businesses and Users. We aim to solve WhatsApp Engagement for Millions

of Businesses with their users and are quite onto it! We're looking for 

energetic and growth-oriented individuals who believe in the mission and 

would love to join the FORCE.

2500+ Paying Customers 

200mn+ WhatsApp Messages done between Businesses and Users 

via AiSensy

Working with top brands like Skullcandy, Vivo, Rentomojo, BYJUS & 

more

High Impact as Businesses drive 25-60% Revenues using AiSensy 

Platform

Mission-Driven and Growth Stage Startup 

Job Summary

We are looking for a talented and creative Video Editor to join our team. The ideal candidate will have experience in video production and editing, a keen eye 

for detail, and a passion for storytelling through video.

Responsibilities

Execute the filming of high-quality professional audio and video footage 

(arrange for and operate required camera, audio and lighting equipment) and 

work with the talent to deliver within required schedules learning content 

video assets

Correctly estimate and communicate the time and effort needed to perform tasks.

Contribute to the conceptualization of projects.

Edit content in collaboration with the content team to an exceptional standard

and create repeatable / streamlined processes for on-going and future project 

needs

Ideate, create and manipulate complementary compelling and dynamic 

animated and static graphics to improve comprehension of filmed learning 

content and concepts

Create basic video edits - automated audio syncing, color correction and 

grading, audio noise removal, trimming of non-content footage, basic titling 

and logging of content

Work with the content team to determine methods to improve learning (notes,

multi-windows, illustrations, other learning aids) and technically execute the 

recommendations throughout the lifecycle of a production.

Ensure logical sequencing and smooth running of content (continuity, lip sync,

focus, order of topics, segmentation into clips)

Create the final cut rendered in appropriate formats

Be responsible for the backup and archival of final cut content according to 

SOP guidelines.

Consult and communicate effectively with team members and other company 

stakeholders and interface with other departments to execute ad-hoc video 

projects as required

Handle in-house requests for recording video, with quick editing turnaround 

time and suitable quality to enable uploading of clips onto the company’s 

social media channels

Identify equipment needs and maintain current equipment (including software

/ OS)

Continuously discover and implement new editing technologies and industry’s

best practices to maximize efficiency.

Requirements

2+ years of video editing and design experience in Adobe Premiere Pro and 

After Effects (including sound sync, audio noise removal, lower thirds titling, 

color correction, green screen keying, title animations)

Familiarity with best practices for video recording (audio levels, mic setup, 

lighting setup, camera and related equipment setup and operation)

Familiarity with screen capture software and technologies

Ability to work independently and be a proactive learner

Good communication skills – verbal and written

Excellent project management skills and ability to deliver projects according

to timelines

Qualifications

2+ Yrs. of editing experience.

A portfolio demonstrating an ability to work across a range of visual styles

Hi,
We are hiring for the position of Technical Lead - Full Stack for one of our premium clients.

Skills: React JS, Node JS, Python, Golang, HTML, CSS, JavaScript, Angular, Typescript.

Location : Chennai

JOB DESCRIPTION :

- Strong analytical and problem-solving skills.

- Ability to work independently, learn quickly and be proactive.

- 10-14 years of hands-on experience working on Web Full Stack technologies, with at least 4-6 years of experience developing applications with/on React/NextJS, NoSQL, and REST APIs.

- Proficiency in JavaScript/TypeScript (ES6), NodeJS, HTML5, CSS3, CSS Preprocessors, Web-pack, Gulp.

- Client-side scripting and JavaScript frameworks - jQUery, ReactJS, Redux, Babel, JSX.

- Experience in designing high-performance REST APIs and associated data structures.

- Familiarity with developing microservices using containerization technologies such as docker, Kubernetes, etc.

- Working knowledge of git and using branches for development.

• Strong analytical skills -ability to turn business requirements into technical concepts and code
• Minimum 3 years of experience in React(at least 3 projects)and familiar with modern React (Hooks, Context API)
• At least one PWA project
• Deep knowledge of Typescript (at least 2 years)
• Excellent problem solving and communication skills
• Used to writing automated tests with tools like Jest & Cypress
• Working with a ticketing tool like Jira
• Experience with SCRUM/Agile Development
• Experiences with NodeJS is a plus
• Experiences with Monorepositorys and Nx is a plus