Customer Success Analyst (Agile / Scrum – Planhat)

Title: Account Manager- (SaaS – US Market)

Experience: 3–8 Years

Location-Bangalore work from the office

Department: Sales

Industry: B2B SaaS

Sales Segment: Small & Medium Businesses (SMB)

Market: United States

Employment Type: Full-time

Key Responsibilities

 Own the end-to-end SMB sales cycle (prospecting to close) for U.S.-based customers

 Handle inbound and outbound leads, including cold outreach

 Conduct product demos, discovery calls, and negotiations

 Build and manage a healthy sales pipeline and accurate forecasts

 Consistently achieve or exceed monthly and quarterly quotas

 Maintain accurate CRM records and sales activity tracking

Required Qualifications

 3–8 years of experience as an Account Executive in B2B SaaS

 Strong experience selling to SMB customers (not enterprise-only profiles)

 Direct exposure to selling in the U.S. market

 Proven track record of quota achievement

 Excellent communication, negotiation, and closing skills

 Hands-on experience with CRM tools such as HubSpot

 Strong understanding of U.S. buyer behavior and SMB needs

Preferred Qualifications

 Experience in fast-paced SaaS startups or growth-stage companies

 Familiarity with high-volume deal environments ($5k–$100k ARR)

 Strong consultative selling approach

 Strong understanding of U.S. buyer behavior and SMB needs

ROLE: Ai ML Senior Developer

Exp: 5 to 8 Years

Location: Bangalore (Onsite)

About ProductNova

ProductNova is a fast-growing product development organization that partners with

ambitious companies to build, modernize, and scale high-impact digital products. Our teams

of product leaders, engineers, AI specialists, and growth experts work at the intersection of

strategy, technology, and execution to help organizations create differentiated product

portfolios and accelerate business outcomes.

Founded in early 2023, ProductNova has successfully designed, built, and launched 20+

large-scale, AI-powered products and platforms across industries. We specialize in solving

complex business problems through thoughtful product design, robust engineering, and

responsible use of AI.

Product Development

We design and build user-centric, scalable, AI-native B2B SaaS products that are deeply

aligned with business goals and long-term value creation.

Our end-to-end product development approach covers the full lifecycle:

1. Product discovery and problem definition

2. User research and product strategy

3. Experience design and rapid prototyping

4. AI-enabled engineering, testing, and platform architecture

5. Product launch, adoption, and continuous improvement

From early concepts to market-ready solutions, we focus on building products that are

resilient, scalable, and ready for real-world adoption. Post-launch, we work closely with

customers to iterate based on user feedback and expand products across new use cases,

customer segments, and markets.

Growth & Scale

For early-stage companies and startups, we act as product partners—shaping ideas into

viable products, identifying target customers, achieving product-market fit, and supporting

go-to-market execution, iteration, and scale.

For established organizations, we help unlock the next phase of growth by identifying

opportunities to modernize and scale existing products, enter new geographies, and build

entirely new product lines. Our teams enable innovation through AI, platform re-

architecture, and portfolio expansion to support sustained business growth.

Role Overview:

We are seeking an experienced AI / ML Senior Developer with strong hands-on expertise in large language models (LLMs) and AI-driven application development. The ideal candidate will have practical experience working with GPT and Anthropic models, building and training B2B products powered by AI, and leveraging AI-assisted development tools to deliver scalable and intelligent solutions.

Key Responsibilities:

1. Model Analysis & Optimization

Analyze, customize, and optimize GPT and Anthropic-based models to ensure reliability, scalability, and performance for real-world business use cases.

2. AI Product Design & Development

Design and build AI-powered products, including model training, fine-tuning, evaluation, and performance optimization across development lifecycles.

3. Prompt Engineering & Response Quality

Develop and refine prompt engineering strategies to improve model accuracy, consistency, relevance, and contextual understanding.

4. AI Service Integration

Build, integrate, and deploy AI services into applications using modern development practices, APIs, and scalable architectures.

5. AI-Assisted Development Productivity

Leverage AI-enabled coding tools such as Cursor and GitHub Copilot to accelerate development, improve code quality, and enhance efficiency.

6. Cross-Functional Collaboration

Work closely with product, business, and engineering teams to translate business requirements into effective AI-driven solutions.

7. Model Monitoring & Continuous Improvement

Monitor model performance, analyze outputs, and iteratively improve accuracy, safety, and overall system effectiveness.

Qualifications:

1. Hands-on experience analyzing, developing, fine-tuning, and optimizing GPT and Anthropic-based large language models.

2. Strong expertise in prompt design, experimentation, and optimization to enhance response accuracy and reliability.

3. Proven experience building, training, and deploying chatbots or conversational AI systems.

4. Practical experience using AI-assisted coding tools such as Cursor or GitHub Copilot in production environments.

5. Solid programming experience in Python, with strong problem-solving and development fundamentals.

6. Experience working with embeddings, similarity search, and vector databases for retrieval-augmented generation (RAG).

7. Knowledge of MLOps practices, including model deployment, versioning, monitoring, and lifecycle management.

8. Experience with cloud environments such as Azure, AWS for deploying and managing AI solutions.

9. Experience with APIs, microservices architecture, and system integration for scalable AI applications.

Why Join Us

• Build cutting-edge AI-powered B2B SaaS products

• Own architecture and technology decisions end-to-end

• Work with highly skilled ML and Full Stack teams

• Be part of a fast-growing, innovation-driven product organization

If you are a results-driven AiML Senior Developer with a passion for developing innovative products that drive business growth, we invite you to join our dynamic team at ProductNova.

Skills

Minimum 4 to 10 years of experience in testing distributed backend software architectures/systems.

• 4+ years of work experience in test planning and automation of enterprise software

• Expertise in programming using Java or Python and other scripting languages.

• Experience with one or more public clouds is expected.

• Comfortable with build processes, CI processes, and managing QA Environments as well as working with build management tools like Git, and Jenkins

. • Experience with performance and scalability testing tools.

• Good working knowledge of relational databases, logging, and monitoring frameworks is expected.

Familiarity with system flow like how they interact with an application Eg. Elasticsearch, Mongo, Kafka, Hive, Redis, AWS

• Managing the Salesforce team of consultants on a project.
• Advising clients in implementation of Salesforce products (Sales, Service, Marketing, Community Cloud etc...).
• Developing business requirements and functional designs to effectively shape Cloud solutions.
• Conducting & facilitating requirements and design sessions.
• Designing overall Salesforce architecture concept and SaaS ecosystem (e.g. CPQ solutions, Order Management solution, etc)
• Building of integration solutions between the CRM platform and other clients systems architecture.
• Driving project from Design through deployment phase.
• Effectively contributing to Proposals.

Top 5 Responsibilities

1. Analyse, design and implement solutions
2. Manage  team of developers in a highly dynamic environment
3. Anchor project calls, elicit details, allocate work and report status
4. Contribute to CoE and Proposals
5. Provide technical mentor-ship to the team

Technical Skills Required:

Strong in Salesforce Customisation (Apex, Visualforce, Triggers, Lightning Components etc...) and Configuration (Process Builder, Visual flow, OWD, Security Settings and other common Admin tasks).
Has extensive implementation experience in at-least 3 of the cloud offerings - Sales, Service, Marketing, Community Cloud.
Has worked on proposals.
Should have done deployment using at-least 2 approaches - ANT, Eclipse, Change sets.
Should have lead at-least 3 E2E Salesforce implementations (Design through Deploy).
Should have experience in building Web Services, both SOAP and ReST.