Assistant Manager (R&D)

The Role

We are looking for a Senior Product Manager to embed on-site with one of CAW's enterprise customers — sitting with their functional leaders, understanding their workflows, identifying the highest-ROI automation opportunities, and prototyping solutions yourself using AI-assisted development tools like Claude Code or OpenAI Codex.

This is not a project management role. We are looking for someone with strong business analysis chops who can walk into a domain they've never worked in, study it quickly, break down complex workflows, and figure out what to build. You should have a coding background and be able to prototype working solutions yourself — not just write specs and hand them off. You stay involved throughout production so nothing is lost in the communication between the customer and our remote engineers.

You are the one person the customer sees. The building and running happen behind you, at CAW HQ, on Gantry.

A Typical Week

Monday–Tuesday: Interview functional leaders and their team members to gain a deep understanding of their current processes, pain points, and undocumented workflows. Map what you find.

Wednesday: Apply structured prioritization frameworks (RICE, ICE, or equivalent) to rank discovered use cases by ROI. Classify each problem as deterministic automation, AI automation, an AI agent (built on Gantry), or a Custom Ops Platform (COP) opportunity — and draft the solution approach in collaboration with CAW's engineering and AI architects at HQ.

Thursday: Present the top problems and proposed solutions to the functional leader for buy-in. Get alignment on what to tackle first.

Friday and the following week: Prototype the solution using Claude Code, Codex, or equivalent AI-assisted development tools. Target: a working prototype in under a week. Present the prototype to the functional team, collect feedback, and iterate until it meets their needs. Once validated, draft a proposal to productionize it on Gantry (or as a COP) in collaboration with HQ, and drive approval from the functional head.

Ongoing: Spend a few hours daily collaborating with CAW's engineering teams at HQ to keep productionizing on track — while simultaneously starting discovery on the next problem with the next functional leader.

Key Responsibilities

Use Case Mining & Discovery

• Embed on-site with the customer. Sit with functional leaders across departments — operations, finance, CX, supply chain, HR — to understand their workflows, pain points, and priorities.
• Don't wait for requirements to be handed to you. Proactively identify problems CAW can solve with agents on Gantry or with a Custom Ops Platform. Prioritize ruthlessly based on business impact, technical feasibility, and speed to value.
• Run structured discovery sessions. Map workflows. Document undocumented processes. Find the use cases the customer doesn't even know they have.
• Build a use-case pipeline: a ranked, living backlog of agent and COP opportunities for you and the customer's leadership to review regularly. This backlog is how the account grows.

Solution Design & Rapid Prototyping

• Classify each problem as deterministic automation, AI automation, an AI agent, or a COP. Draft solution approaches in collaboration with CAW HQ architects.
• Prototype solutions yourself using Claude Code, Codex, or equivalent AI-assisted development tools. A working demo in under a week is the standard.
• Translate validated prototypes into structured specs — clear problem statements, acceptance criteria, scope boundaries, and success metrics — that CAW's engineers can productionize on Gantry without ambiguity.
• Work in tight weekly cycles: discover, prototype, validate, spec, hand off for production — and stay involved through delivery.

Customer Relationship & Adoption

• You represent CAW inside the customer's organization. Build deep trust with functional leaders and CXOs.
• Own delivery timelines, customer expectations, and escalations. You are the single point of accountability the customer sees.
• Ensure what gets built is what gets used. Drive adoption by working with the customer's end users, running training sessions, and instrumenting usage metrics.
• Know when to push (the customer is avoiding a hard decision) and when to listen (there's a real constraint you haven't understood yet).

Platform & Product Feedback Loop

• Surface structured insights back to the Gantry product team: capability gaps, integration friction, customer objections, and use case patterns that should become reusable agents or platform features.
• Spot which agents and patterns are reusable across customers so they can be added to CAW's library and accelerate the next engagement. Flag when a customer ask is a one-off vs. when it's a pattern many customers share.
• Deliver actionable, prioritized field intelligence — not a dump of Slack messages. Your feedback directly informs the Gantry roadmap.

What We're Looking For

• 4–7 years of experience in a customer-facing product or business analysis role, such as Product Manager, Business Analyst, Solutions Consultant, or Forward Deployed Engineer at a SaaS/AI company.
• Coding background - You have written code professionally or as part of product work. You understand APIs, data flows, and system architecture well enough to prototype, not just spec.
• Demonstrable AI-assisted development experience. Show us products, prototypes, or internal tools you have built using Claude Code, OpenAI Codex, Cursor, or equivalent tools. We want to see output, not claims.
• Heavy business analysis experience. You have demonstrable examples of walking into a domain with vague or undefined requirements, studying it deeply, and cracking the problem. We are not looking for project managers who track tickets — we want people who figure out what the tickets should be.
• Strong speccing discipline. You can write a clear, buildable spec with acceptance criteria that an engineer can work from without ambiguity.
• Client-facing experience. Proven ability to run discovery with enterprise customers, manage stakeholders with competing priorities, and build trust with functional leaders and CXOs.
• Comfort with ambiguity. You will walk into customer organizations with no playbook. You need to figure out what matters, fast.
• Excellent communication. You can translate between a non-technical business leader and an engineer in the same meeting.
• Willingness to be on-site. This is an embedded role, not a remote one.
• Experience with AI/ML platforms, agent frameworks, automation tools, or enterprise SaaS is strongly preferred.
• A bias toward doing, not analyzing. You are measured by use cases shipped to production and prototypes that land, not decks presented.

Job Summary

We are looking for a detail-oriented and responsible Accounts Executive with hands-on knowledge of taxation, transfer entries, and basic accounting functions. The candidate will be responsible for maintaining accurate financial records, processing accounting transactions, supporting tax-related activities, and ensuring smooth day-to-day accounting operations.

The ideal candidate should possess good analytical skills, knowledge of accounting principles, and experience working with accounting software such as Tally, ERP, or similar systems.

________________________________________

Key Responsibilities

Accounting Operations

• Maintain daily accounting entries and financial records. 

• Pass journal entries, transfer entries, payment entries, receipt entries, and contra entries. 

• Handle bank reconciliations and ledger scrutiny. 

• Assist in accounts payable and accounts receivable activities. 

• Maintain vendor and customer account records. 

• Support monthly and yearly account closing activities. 

Taxation

• Assist in GST calculations, reconciliation, and return preparation. 

• Maintain proper tax-related documentation and records. 

• Coordinate for TDS deductions, entries, and compliance activities. 

• Ensure compliance with applicable taxation and accounting regulations. 

• Support during audits by providing required financial documents and reports. 

Financial Documentation

• Prepare invoices, debit notes, credit notes, and supporting documents. 

• Maintain proper filing and documentation of accounting records. 

• Verify bills, vouchers, and supporting documents before processing payments. 

• Prepare basic MIS and financial reports as required. 

Coordination & Compliance

• Coordinate with internal departments for accounting-related requirements. 

• Follow up with vendors/customers for payment confirmations and documentation. 

• Ensure accuracy and confidentiality of financial information. 

• Assist senior accounts team in daily finance operations and audit support. 

Job Description:

Profile: Senior Python AI/ML Engineer

Required experience: 5-9 Years

Location: Mohali, Punjab (WFO only, no hybrid )

B.tech/ MCA preferred

Immediate joiners

We are looking for a Senior Python (AI/ML) Engineerto build and scale a production-grade AI-powered platform focused on image understanding, scene reconstruction, and automated media generation. This is a backend-heavy role requiring strong expertise in system design, asynchronous processing, and scalable API development.

You will work closely with AI/ML, frontend, and DevOps teams to deliver high-performance systems that power object detection, segmentation, and 3D reconstruction pipelines.

Key Responsibilities:

- Design and develop scalable backend services and APIs using FastAPI

- Build modular,maintainable systems with clear service contracts and abstractions

- Implement asynchronous processing pipelines for compute-heavy AI workloads

- Design and manage job queues (Celery, RQ, or similar) and integrate Redis

- Handle long-running and GPU-based tasks- Work with PostgreSQL and integrate object storage (S3 or equivalent)

- Integrate and productionize ML models

- Optimize inference pipelines for latency, batching, and throughput

- Ensure system reliability with retries, fallbacks, and monitoring

- Collaborate with Data Science, Frontend, and DevOps teams

Required Skills:

- 5+ years of Python development experience

- Hands-on experience with FastAPI and REST APIs

- Strong understanding of async programming and scalable systems

- Experience with Redis and queue systems (Celery, RQ, Kafka)

- Strong PostgreSQL experience

- Experience with Docker (mandatory); Kubernetes is a plus

- Familiarity with AWS, GCP, or Azure

Good to Have:

-Exposure to AI/ML pipelines (YOLO, DETR, SAM, etc.)

- Experience deploying ML models in production

- Understanding of GPU workloads and optimization

- Background in image/video processing or real-time systems

What We’re Looking For:

- Strong problem-solving and system design mindset

- Ability to handle real-world scale and unstructured data

- Experience in AI-integrated backend systems

Benefits:

• Flexible schedule
• Health insurance
• Leave encashment
• Provident Fund

We are seeking a proactive and customer-first Team Lead - Customer Support to manage a team of senior and junior support associates. The ideal candidate takes ownership without waiting for instructions, drives ticket closure, manages day-to-day operations across shifts, and ensures a consistently high-quality customer experience. This role also requires strong stakeholder management to unblock dependencies and close tickets end-to-end.

Work Mode

• Work at the office - Bangalore Location

• 6 days/week

• Rotational shifts between 7:00 AM – 10:00 PM

Job Description: 

Key Responsibilities

• Lead, mentor, and manage a team of senior and junior customer support associates

• Monitor daily ticket queues, ensure SLA adherence, and drive timely closures

• Handle escalations with a customer-first mindset and ensure resolution end-to-end

• Maintain high standards of customer communication (clarity, empathy, accuracy)

• Plan and manage rosters, shift coverage, and hybrid team coordination

• Track productivity, adherence, attendance, and overall team performance

• Collaborate with Ops/Product/Tech/Finance teams to unblock and close tickets

• Identify recurring issues and drive process improvements to reduce repeat tickets

Key Result Areas

• SLA adherence: Consistent response and resolution performance

• Ticket closure & backlog: High closure rate and reduced aging/pending tickets

• Customer experience: Improved CSAT and reduced repeat contacts/escalations

• Escalation handling: Faster resolution and better ownership on critical cases

• Roster & shift management: Smooth coverage across rotational shifts with minimal gaps

• Team performance: Regular coaching and measurable improvement in productivity/quality

• Stakeholder coordination: Faster dependency closure and better cross-team collaboration

Mandate Skills :

• 3–5+ years of experience in Customer Experience and team management (TL experience preferred)

• Strong people management skills (handling senior + junior associates)

• Excellent written and verbal communication with a customer-first mindset

• Proactive ownership, strong time management, and ability to multitask

• Comfortable with rotational shifts, rosters, and hybrid team management

• Strong stakeholder management and ability to drive closure across teams

• Familiarity with ticketing tools (Freshdesk, Zendesk, Intercom, or similar) is a plus

Job Overview:

As a Technical Lead, you will be responsible for leading the design, development, and deployment of AI-powered Edtech solutions. You will mentor a team of engineers, collaborate with data scientists, and work closely with product managers to build scalable and efficient AI systems. The ideal candidate should have 8-10 years of experience in software development, machine learning, AI use case development and product creation along  with strong expertise in cloud-based architectures.

Key Responsibilities:

AI Tutor & Simulation Intelligence

• Architect the AI intelligence layer that drives contextual tutoring, retrieval-based reasoning, and fact-grounded explanations.
• Build RAG (retrieval-augmented generation) pipelines and integrate verified academic datasets from textbooks and internal course notes.
• Connect the AI Tutor with the Simulation Lab, enabling dynamic feedback — the system should read experiment results, interpret them, and explain why outcomes occur.
• Ensure AI responses remain transparent, syllabus-aligned, and pedagogically accurate.

Platform & System Architecture

• Lead the development of a modular, full-stack platform unifying courses, explainers, AI chat, and simulation windows in a single environment.
• Design microservice architectures with API bridges across content systems, AI inference, user data, and analytics.
• Drive performance, scalability, and platform stability — every millisecond and every click should feel seamless.

Reliability, Security & Analytics

• Establish system observability and monitoring pipelines (usage, engagement, AI accuracy).
• Build frameworks for ethical AI, ensuring transparency, privacy, and student safety.
• Set up real-time learning analytics to measure comprehension and identify concept gaps.

Leadership & Collaboration

• Mentor and elevate engineers across backend, ML, and front-end teams.
• Collaborate with the academic and product teams to translate physics pedagogy into engineering precision.
• Evaluate and integrate emerging tools — multi-modal AI, agent frameworks, explainable AI — into the product roadmap.

Qualifications & Skills:

• 8–10 years of experience in software engineering, ML systems, or scalable AI product builds.
• Proven success leading cross-functional AI/ML and full-stack teams through 0→1 and scale-up phases.
• Expertise in cloud architecture (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
• Experience designing microservices and API ecosystems for high-concurrency platforms.
• Strong knowledge of LLM fine-tuning, RAG pipelines, and vector databases (Pinecone, Weaviate, etc.).
• Demonstrated ability to work with educational data, content pipelines, and real-time systems.

Bonus Skills (Nice to Have):

• Experience with multi-modal AI models (text, image, audio, video).
• Knowledge of AI safety, ethical AI, and explain ability techniques.
• Prior work in AI-powered automation tools or AI-driven SaaS products.

Hiver offers teams the simplest way to offer outstanding, personalized customer service. As a customer service solution built on Gmail, Hiver is intuitive, super easy to learn, and delightful to use. Hiver is used by thousands of teams at some of the best-known companies in the world to provide attentive, empathetic, and human service to their customers at scale. We’re a top-rated product on G2 and rank very highly on customer satisfaction.

Opportunity:

We are seeking an experienced and data-driven Performance Marketing Manager to spearhead our digital paid campaigns. The primary focus for this role will be efficient expansion across channels with special importance on Google Ads.

What you will be working on:

• Strategic Planning: Design and implement a comprehensive paid digital marketing strategy with growth and efficiency in focus.
• Google Ads Management: Oversee, optimise, and scale our Google Ads campaigns, ensuring efficiency and growth through ongoing experiments and by setting the basics right.
• Platform Expansion: Launch and manage campaigns on other platforms like LinkedIn, Facebook, and Instagram, integrating them into our broader paid strategy. Keep an eye open for new opportunities all the time.
• Budget Management: Allocate, monitor, and optimise the budget for each channel to ensure cost-efficient spending and ROI.
• Performance Analysis: Continuously analyse campaign performance, draw insights, and make necessary adjustments for continuous improvement.
• Collaboration: Work closely with other digital marketing team members, design, content and web dev teams ensuring that paid strategies complement and amplify all marketing efforts.
• A/B Testing: Continuously test ads, landing pages, audiences, and more to improve campaign performance.
• Trend Awareness: Stay updated on the latest developments, best practices, and trends in paid advertising across all platforms.
• Reporting: Provide regular reports showcasing results, insights, and recommendations to the stakeholders.

What we are looking for:

• Bachelor's degree in Marketing, Business, or related field.
• 6+ years of experience in paid digital advertising, with a strong emphasis on Google Ads.
• Proven track record of managing and scaling paid campaigns across multiple platforms.
• Strong analytical skills, with the ability to derive meaningful insights from data.
• Proficiency with advertising tools and platforms, analytics tools, and related software.
• Exceptional project management skills.
• Ability to collaborate and communicate effectively with internal teams.
• Forward-thinking and updated with the latest trends and best practices in digital advertising.
• Experience of managing paid campaigns in the SAAS start-up ecosystem will be a plus.

At Hiver, we value diversity and inclusion and encourage individuals from all backgrounds to apply. If you're ready to make an impact and be part of our innovative team, please apply here.

This profile will include the following responsibilities:

- Develop Parsers for XML and JSON Data sources/feeds

- Write Automation Scripts for product development

- Build API Integrations for 3^rd Party product integration

- Perform Data Analysis

- Research on Machine learning algorithms

- Understand AWS cloud architecture and work with 3 party vendors for deployments

Business development can be summarized as the ideas, initiatives, and activities that help make a business better.

The target area would be clients looking forward to Digital Marketing services. Hence includes,

• Increasing revenues
• Growth in terms of business expansion,
• Increasing profitability by building strategic partnerships and making strategic business decisions.
• Responsible for prospecting, identifying, and developing business with new customers                              
• Preparing commercials for prospective clients based on the business offering in consultation with the project manager.
• Introduce the new client to the operations team and assist the operations team to work for the new client.
• Competitor analysis: Should be aware of the work being done by the competition and come up with strategies to acquire those accounts.
• Providing management with client/market feedback.
• Ability to identify client needs and decide deliverables for the same.
• Should be self-driven, target-oriented, and passionate

Role Business

• Industry Type IT
• Functional Area Sales & Business Development
• Employment Type Full Time, Permanent
• Role Category BD / Pre Sales

Education

• UG: Any Graduate
• PG: Any Postgraduate
• Doctorate: Doctorate Not Required