Product Marketer

Position Name : Senior Software Architect

📍 Location : UB City, Bengaluru (Hybrid – 3 days in office)

🕒 Experience : 11 to 18 Years

📅 Notice Period : Immediate to 1 month

👥 Open Positions : 2

Role Overview :

• We are looking for a Senior Software Architect to design, build, and scale high-performance SaaS B2B applications.
• The ideal candidate will have deep expertise in MERN stack (MongoDB, Express.js, React.js, Node.js), AWS, and microservices-based architectures.
• This role requires at least 3 Years of experience in an Architect position, with a strong background in building scalable products and handling daily releases.

Key Responsibilities :

• Architect and develop scalable SaaS B2B products using React, Node.js, GraphQL, Elasticsearch, and Micro Frontend Architecture (MFE).
• Design and implement microservices-based distributed systems and RESTful APIs.
• Optimize frontend interfaces using React, Redux, Next.js, HTML, and CSS.
• Develop robust backend APIs using Node.js, Express.js, and MongoDB/PostgreSQL.
• Utilize AWS services (EC2, S3, SQS, SNS, DocumentDB, OpenSearch) and containerization (Docker, Kubernetes).
• Implement scalable database schemas and ensure optimal performance.
• Work with GraphQL for efficient data querying and manipulation.
• Ensure security, reliability, and high availability of the platform.
• Lead and mentor development teams, conduct code reviews, and enforce best practices.
• Collaborate with cross-functional teams to deliver business-driven software solutions.

Required Skills & Experience :

✅ 3+ Years as a Software Architect and currently in an Architect role.

✅ 5+ Years of experience in full-stack development with the MERN Stack.

✅ Strong knowledge of scalable architectures, microservices, and cloud-native SaaS products.

✅ Experience in AWS deployment, cloud infrastructure, and DevOps.

✅ Hands-on experience with Micro Frontends (MFE).

✅ Experience in handling everyday releases and working in Agile environments.

✅ Strong problem-solving skills, logical thinking, and architectural decision-making.

✅ Bachelor’s or Master’s degree in Computer Science or related field.

Preferred :

• Experience in B2B SaaS product development.
• Background in product-based companies.
• No prior experience in Walmart or similar large enterprises.
• Candidates should be based in Bengaluru (Outstation candidates will not be processed).

About Us

Our company is a performance marketing and lead generation company working across pay-per-call, pay-per-lead, live transfer, and CPA traffic campaigns. We work with advertisers and traffic partners across several consumer verticals and are looking for an Affiliate

Manager who can help us find good publishers, get campaigns launched, and grow the partners that perform.

This is a hands-on role. We are looking for someone who can work independently, communicate well, and take ownership without needing a lot of management.

What You’ll Do

• Recruit new affiliates, publishers, media buyers, and lead-generation partners.
• Prospect through LinkedIn, Telegram, Teams, email, affiliate groups, conferences, and other industry sources.
• Build relationships with publishers and understand what types of traffic and offers they are looking for.
• Vet, Screen, Have Sales Calls, and Onboard new partners to get campaigns launched.
• Explain campaign requirements, payouts, caps, targeting, tracking, and compliance rules.
• Manage existing publisher relationships and look for ways to increase volume.
• Review daily and weekly performance including leads, calls, conversion rates, dispositions, returns, quality, and profitability.
• Work with publishers to improve traffic when performance is below expectations.
• Rotate traffic between campaigns and buyers based on performance and available capacity.
• Negotiate payouts, CPA terms, revenue-share arrangements, and other campaign economics.
• Set up and troubleshoot campaigns in platforms such as Ringba, LeadProsper, Everflow, TUNE, Offer18, TrackDrive, or similar systems.
• Work with postbacks, tracking links, APIs, pixels, and basic lead-routing setups.
• Monitor partners for compliance with campaign requirements and applicable marketing rules.
• Keep partner records, notes, follow-ups, and campaign information organized.
• Communicate with advertisers and internal team members when issues come up.
• Help identify new offers, traffic opportunities, and markets we should test.

What We’re Looking For

We care more about whether you understand this business than whether your resume is perfect.

Ideally, you have 2–5+ years of experience in affiliate marketing, performance marketing, lead generation, media buying, publisher development, or a related field.

You should be comfortable with:

• Affiliate and publisher relationship management
• Pay-per-lead, pay-per-call, CPA, CPL, CPS, live transfer, or revenue-share campaigns
• Recruiting and onboarding new traffic partners
• Negotiating payouts and campaign terms
• Analyzing campaign performance
• Lead and call quality
• Conversion rates and disposition reporting
• Affiliate tracking platforms
• Postbacks, pixels, APIs, and basic tracking concepts
• Excel or Google Sheets
• Email and LinkedIn outreach
• Working independently in a remote environment

Experience with Ringba, LeadProsper, Everflow, TUNE/HasOffers, Offer18, TrackDrive, Retreaver, or similar platforms is helpful but not required.

Experience in verticals such as credit, insurance, financial services, legal/MVA, home services, debt, Medicare, business loans, or other lead-generation markets is a plus.

What Makes Someone Good at This Job

The best person for this role probably likes talking to people but is also comfortable looking at numbers.

You need to be able to find partners, figure out whether their traffic is actually good, keep good partners happy, and deal with problems when something stops working.

You should be persistent about follow-up. Affiliate partners regularly disappear, get distracted, launch late, send the wrong traffic, or need help getting a campaign working. We want someone who stays on top of things instead of waiting for people to come back to them.

We also value people who are commercially minded. If an affiliate wants a higher payout, you should be thinking about whether the economics support it rather than simply saying yes or no.

What Success Looks Like

Within the first few months, you should be able to take ownership of a group of publishers, bring new partners into the network, get campaigns launched without much supervision, and understand which relationships deserve more attention.

Longer term, success means:

more quality affiliates → more campaign volume → better publisher retention → better margins → more revenue.

This is a revenue-producing position, so strong performance will be noticeable and rewarded.

Location

Fully remote.

We care primarily about performance, responsiveness, and your ability to work effectively with partners and the rest of the team.

Role overview

The client is building a multimodal AI platform that processes multi-hour video, audio and text to generate structured insights, narratives and highlight workflows for broadcasters and media organisations.

We are seeking a Backend / Platform Engineer to design and build high-throughput media pipelines, robust APIs, and model-serving infrastructure that connect our AI engine (video perception + multimodal reasoning) to real products and customer environments.

This is not a CRUD‑only backend role.

You will work on:

• long‑running jobs
• distributed processing
• GPU inference orchestration
• storage for embeddings and metadata
• integration with AI models
• reliability and observability at scale

Key responsibilities

Media ingestion & processing pipelines

• Design and implement ingestion pipelines for multi‑hour video and audio content.
• Build microservices for frame extraction, audio processing, transcription integration and metadata generation.
• Handle long‑running, asynchronous jobs using queues, workers and robust retry strategies.
• Integrate with FFmpeg or similar tools for transcoding, segmenting and preparing media for AI models.

API & platform architecture

• Design and implement REST/gRPC APIs that expose AI model outputs (perception, multimodal alignment, narratives) to frontend and external systems.
• Define clear contracts for internal services and external integrations.
• Implement authentication, authorisation and rate‑limiting for platform endpoints.
• Ensure backward‑compatible API evolution as the product matures.

Model‑serving & AI integration

• Integrate with AI inference services (video models, multimodal models, LLM/VLM) running on GPUs or specialised infrastructure.
• Design request/response flows that handle large payloads, streaming outputs and structured results.
• Optimise throughput and latency for inference pipelines, including batching, caching and concurrency control.
• Collaborate closely with AI engineers to productionise models and debug end‑to‑end behaviour.

Storage, data models & performance

• Design data models to store embeddings, timelines, metadata, scene/shot boundaries, and narrative units.
• Work with appropriate storage technologies (SQL/NoSQL, object storage, search indices) based on access patterns.
• Implement indexing and query strategies for fast retrieval of segments, highlights and multimodal insights.
• Optimise performance for large datasets and high‑volume workloads.

Reliability, observability & operations

• Implement logging, metrics and tracing across services for debugging and monitoring.
• Set up health checks, circuit breakers and graceful degradation for critical services.
• Work with CI/CD pipelines to ensure safe, repeatable deployments.
• Collaborate on Kubernetes‑based deployments (or equivalent orchestration) for scaling services.

Requirements (must‑have)

Experience:

• 4–8 years in backend or platform engineering.
• At least 3 years working on distributed systems, high‑throughput services or complex pipelines (not just simple CRUD apps).

Languages & frameworks:

• Strong proficiency in Python or Node.js (one primary, both are a plus).
• Experience with at least one modern backend framework (FastAPI, Flask, Express, NestJS, etc.).

Distributed systems & pipelines:

• Hands‑on experience with queues and workers (e.g. Celery, RabbitMQ, Kafka, SQS, etc.).
• Experience building asynchronous, long‑running job pipelines.
• Understanding of idempotency, retries, backoff, and failure handling.

APIs & integration:

• Strong experience designing and implementing REST APIs (gRPC is a plus).
• Experience integrating with external services and handling network‑level failures.

Cloud & infrastructure:

• Experience deploying services on AWS, GCP or Azure (EC2/Compute Engine, S3/GCS, IAM, networking basics).
• Experience with Docker; exposure to Kubernetes is a strong plus.

Data & storage:

• Experience with SQL and at least one NoSQL store.
• Ability to design schemas and data models for performance and maintainability.

Engineering quality:

• Strong debugging skills across services and environments.
• Experience with unit/integration tests for backend systems.
• Clear, structured communication in English.

Nice‑to‑have

• Experience with media/video processing (FFmpeg, transcoding, segmenting).
• Experience with AI/ML model integration (serving models, handling inference requests).
• Experience with search/retrieval systems (e.g. Elasticsearch, vector databases).
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry).
• Experience working with remote teams across time zones.

What we are explicitly NOT looking for

To reduce noise and mismatches, we are not looking for:

• Pure CRUD‑only backend developers with no pipeline or distributed systems experience.
• Engineers who have only worked on small, single‑service apps without scale or complexity.
• Candidates who cannot explain trade‑offs in architecture, data modelling and reliability.
• Candidates who are uncomfortable with ownership of subsystems end‑to‑end.

Why join us

• Work on real, complex problems at the intersection of media, AI and distributed systems.
• Collaborate with senior AI engineers working on perception, multimodal fusion and narrative reasoning.
• Build the core platform that turns AI models into a usable product for broadcasters and media organisations.
• Operate with high ownership, clear expectations and direct access to the CTO.

Mandatory (Experience 1): Must have 5+ years of hands-on designing experience especially in print and visual communication projects.

Mandatory (Experience 2): Must have proven conceptualisation and visualization skills, with the ability to convert briefs, raw data, and ideas into engaging visual creatives while maintaining brand messaging and design consistency.

Mandatory (Experience 3): Must have client interaction and team management experience, including coordinating with designers, art directors, project managers, and clients to ensure timely and high-quality creative deliverables.

Mandatory (Tech Skills 1): Must have strong knowledge of design principles, typography, color theory, layout design, and print production standards, with the ability to sign-off or review final deliverables.

Mandatory (Tech Skills 2): Must have hands-on experience in handling multiple creative tools and design workflows independently

Mandatory (Portfolio): Strong portfolio of Print Media / Creative Portfolio showcasing branding, marketing collaterals, brochures, presentations, or other high-quality visual design projects that demonstrate conceptual thinking and software proficiency.

Mandatory (Work Environment): Must be willing to work full-time from office and be flexible for rotational monthly shifts (including night shifts) as per business requirements.

Technical Expertise

• Advanced proficiency in Python
• Expertise in Deep Learning Frameworks: PyTorch and TensorFlow
• Experience with Computer Vision Models:
• YOLO (Object Detection)
• UNet, Mask R-CNN (Segmentation)
• Deep SORT (Object Tracking)

Real-Time & Deployment Skills

• Real-time video analytics and inference optimization
• Model pipeline development using:
• Docker
• Git
• MLflow or similar tools
• Image processing proficiency: OpenCV, NumPy
• Deployment experience on Linux-based GPU systems and edge devices (Jetson Nano, Google Coral, etc.)

Professional Background

• Minimum 4+ years of experience in AI/ML, with a strong focus on Computer Vision and System-Level Design
• Educational qualification: B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or a related field
• Strong project portfolio or experience in production-level deployments

Job Description

Function: Sales and Business → Sales / Business Development

• Business Development
• Direct Sales
• Sales
• Telecalling

Responsibilities:

• Achieving and exceeding the sales targets (End to End Sales).
• Lead generation through cold calling.
• Identify opportunities through Web interaction, Tele calling, marketing events & advertisements to generate appointments.
• Record and maintain the quality of leads and ensure the progression of leads from identification to closure.
• Maintain a quality pipeline by targeting the right set of audiences and weekly closure by continuous follow-up.
• Providing counseling to students and helping them choose the right learning module.
• Willing to travel within city limits convincing the customers (i.e. parents) to invest in the Toppscholars learning app to improve their children's quality of education and academic result by establishing the unique value proposition of the Toppscholars learning app.
• Ensuring end-to-end delivery and sustaining the given targets.

Job Responsibilities

Responsibilities for this position include, but are not limited to, the following.

Understand requirements and create low-level design using UML

Develop embedded software as per defined software requirements

Software integration & testing

Background & Skills

Education:

B.E/B. Tech/M.Tech/Master (Electronics/Telecommunications/Computers Science)OR equivalent

Experience & Attributes:

2-8 years’ experience in Embedded system software design, development, and testing.

Excellent communication skills, spoken and written English

Must have specialized knowledge :

·  Embedded C

·  Electronics

·  RTOS

·  Knowledge of Microcontrollers (RISC, CISC)

·  CAN Communication & Protocols like UDS, KWP2000, CANopen and J1939

·  MISRA standard - 2000/MISRA 2012

·  SDLC, Agile Scrum

·  Static analysis & Tools like LDRA or QAC or Vector cast

·  Change Management & Tools like JIRA/VSTS

·  Version control & Tools like SVN/GIT/Clearcase

·  Traceability management & Tools like Reqtify or equivalent

·  Design methodologies - like UML

·  Software Test Life Cycle

Specialized knowledge – Will be Preferred

·  Functional Safety life-cycle & Management - Applies to software design & development

·  Safety standards like - IEC-61508, ISO-26262, ISO-25119, ISO-13849

Key Tasks and Responsibilities

·  Software requirement specification writing

·  Creating design for assigned modules

·  Implementing the code for assigned requirements

·  Perform unit testing

·  Perform peer reviews or inspection of software work products

·  Support testing team on defect analysis

·  Adhere to Quality processes

We @Cerebry are an edtech startup and making world's First AI based truely Adaptive Platform. Our API generates Mathematics Questions on the fly as per student's performance.There are some time some erros in Questions Generated.So we need people who are smart in Mathematics and good in logic.

Thanks