Marketing Automation Manager

Join Trisetra AI and help redefine how contractors design and visualize bathrooms using advanced 3D and AI technology. We're looking for a Computer Graphics Engineer passionate about building real-time, interactive 3D experiences that bring code-compliant design to life for thousands of users.

What You'll Do:

• Build and optimize performant 3D web applications using technologies like Three.js and WebGL.​
• Develop new rendering and visualization features for our AI-powered bathroom design platform.​
• Collaborate with backend and optimization engineers to deliver seamless user experiences and accurate, interactive design simulations.​
• Work directly with design founders; your ideas and code will shape our next-generation product used across India and the US.​

What We're Looking For:

• Strong experience with JavaScript and modern web frameworks; proficiency in Three.js or WebGL is a must.​
• Solid math and geometry skills (vectors, transforms, meshes).
• Track record of delivering clean, efficient, and scalable graphics code.
• Knowledge of UX/UI principles for technical design is a bonus.

Why Trisetra?

• 100% remote: Collaborate with world-class talent, learn from the best, and shape a global SaaS product, all from your preferred location.
• Competitive salary (₹7L–₹11L), flexible work hours, rapid career growth.
• Work using cutting-edge tech with founders who value innovation and code craftsmanship.​

Ready to build the future of 3D design? Apply now and join a mission-driven team making an impact!

Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.

Location: Remote (India only)

Role Overview

We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.

Key Responsibilities

• Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
• RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
• Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
• Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
• System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
• Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
• Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
• Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .

Required Skills and Qualifications

• Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
• LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
• AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
• Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
• Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
• Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
• Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
• Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.

Preferred (Bonus) Qualifications

• Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
• Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
• Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !

Perks of working at Certa.ai:

• Best-in-class compensation
• Fully-remote work with flexible schedules
• Continuous learning
• Massive opportunities for growth
• Yearly offsite
• Quarterly hacker house
• Comprehensive health coverage
• Parental Leave
• Latest Tech Workstation
• Rockstar team to work with (we mean it!)

Key Responsibilities

1. Architect & Design

• ○ Define and maintain service architecture in Go and Node.js, ensuring scalability, resilience, and low latency.
• Lead the creation and upkeep of comprehensive Entity-Relationship Diagrams (ERDs) and maintain an up-to-date data model library.

2. Team Leadership & Mentorship

• Manage, mentor, and inspire a diverse team of 5–10 backend engineers (“maverick” talent), fostering collaboration, autonomy, and ownership.
• Conduct regular code reviews, design discussions, and performance feedback sessions.

3. AI/ML Integration

• Collaborate with Data Science and ML engineers to integrate OpenAI models (e.g., GPT-4) for features like smart audio transcription, summarization, and recommendation.
• Work with DataStax (Cassandra) or similar NoSQL systems to power low-latency user analytics and AI inference pipelines.

4. Delivery & Quality

• Establish and enforce best practices for CI/CD, automated testing, performance benchmarking, and observability (metrics, logs, tracing).
• Own SLA/SLOs and incident response processes, driving rapid root-cause analysis and post-mortems.

5. Cross-Functional Collaboration 

• Partner with Product, UX, and DevOps to translate business goals into technical roadmaps and deliver on tight timelines.
• Evangelize backend and data architecture decisions across the engineering organization.

Must-Have Qualifications

● Technical Expertise:

1. 6+ years backend experience with Go and Node.js, building microservices in production.
2. Deep understanding of RESTful APIs, gRPC, message queues (Kafka/RabbitMQ), and event-driven architectures.

• Data Modeling:

1. Proven ability to author and maintain ERD documents, relational and NoSQL schema design (PostgreSQL, DataStax Cassandra).

● Team Leadership:

1. 2+ years managing high-performance engineering teams, with a track record of growing and mentoring “maverick” engineers.

● AI/ML Integration:

1. Hands-on experience integrating AI/ML models, preferably OpenAI APIs or
2. custom ML pipelines, into backend systems

● Operational Excellence:

1. Strong background in designing CI/CD pipelines (Jenkins/GitHub Actions), containerization (Docker/Kubernetes), and cloud services (AWS/GCP).

Nice-to-Have

● Experience with GraphQL or real-time streaming architectures (WebSockets).

● Familiarity with large-language‐model fine-tuning and hosting on infrastructure like AWS SageMaker or Azure ML.

● Background in user-centric analytics and personalization algorithms.

● Open source contributions in Go or Node.js ecosystems.

What We Offer

● Competitive salary with performance bonuses and equity options.

● Flexible work hours and hybrid work policy.

● Generous learning & development budget for conferences, courses, and certifications.

● A culture that values creativity, ownership, and rapid experimentation.

● Opportunity to shape the future of audio social in India’s biggest emerging markets.

Responsibilities:

• Write clear marketing copy to promote our products/services
• Prepare well-structured drafts using Content Management Systems Proof read and edit blog posts before publication
• Submit work to editors for input and approval
• Coordinate with marketing and design teams to illustrate articles Conduct simple keyword research and use SEO guidelines to increase web traffic
• Promote content on social media
• Identify customers needs and gaps in our content and recommend new topics
• Ensure all-around consistency (style, fonts, images and tone)
• Update website content as needed

• 5-8 years of experience in handling social media and Influencer marketing campaigns 
• Excellent knowledge of Whatsapp, LinkedIn, Facebook, Twitter, Instagram , and other relevant platforms 
• Understanding of SEO and web traffic metrics 
• Good knowledge of social media KPIs 
• Proven track record in outreach campaign strategies 
• In-depth knowledge of the social media marketing industry 
• Impeccable verbal and written communication skills 

Responsibilities

• Develop and execute social media strategies and creative campaigns 
• Identify and build relationships with prominent influencers and thought leaders 
• Develop content ideas and write and curate content 
• Research relevant industry experts, competitors, target audience, and users 
• Brainstorm new, creative approaches to influencer campaigns 
• Keep abreast of emerging trends, technologies, and influencers.
• Find new and better ways of measuring social media activity.
• Develop, implement and manage our social media strategy 
• Define most important social media KPIs 
• Manage and oversee social media content 
• Measure the success of every social media campaign 
• Stay up to date with the latest social media best practices and technologies 
• Work with copywriters and designers to ensure content is informative and appealing 
• Monitor SEO and user engagement and suggest content optimization 

Key Performance Indicators

• Creating unique value propositions for both brand and key products and implement them with an always-on calendar
• Drive strategic brand initiatives positively impacting key parameters like Imagery, Awareness, and Consideration.
• Identifying content amplification opportunities (Real-time trends, collaborations, etc.)
• Improve engagement rate for the brand across relevant platforms.

Core competency

• Execution & Delivery - Takes ownership providing timely and result oriented solutions with operational excellence
• Accountability - Responsible for the tasks assigned under the ambit of the key responsibilities of the role and additionally for any dependencies with cross functional teams
• Team - Work & Collaboration - Fosters a culture of trust, collaboration and support
• Effective Communication - Communicates timely and responsively with clarity and effect (both verbal and written). Seeks and provides feedback