+ About Us
At Pathfinder we identify with the need to build Strategy for Innovative Ventures in a ‘Digital Native’ manner. Our frameworks provide holistic guidance to startups navigating the challenging 0-1 terrain. We imbibe the adage – Strategy is what you see & not what you say, and transforming our frameworks into intuitive playbooks is the act at the end of the play.
+ Role Overview
We are looking for a highly motivated and detail-oriented specialist to join our team as a Venture Analyst. In this role, you will work with innovative ventures and play a pivotal role in our advisory team to build compelling cases that foster strategic initiatives. You will conduct client interviews, develop case wireframes, and structure work to represent strategic paths. The ideal candidate should possess the following capabilities – critical thinking, logical reasoning, and a keen business acumen.
+ Key Responsibilities
- Proficient in framing questions for RFIs: Skilled in identifying critical data requirements and crafting precise & insightful questions to gather essential information from clients through Requests for Information (RFIs)
- Process Documentation: Develop and record systematic methodologies for analysing business cases to ensure consistency across projects
- Team Collaboration: Foster a collaborative environment across teams to develop effective solutions to engagement pain points that improve client satisfaction and retention
- Report Presentation: Collaborate with clients and internal stakeholders to understand their requirements and present your findings. Engage with both parties to ensure their needs are met and effectively communicate your work
+ Qualifications
Education: ·Master’s degree in Business Administration, Finance, Economics, Statistics or a related field
Experience: 2-4 years of experience as a business analyst role within a start-up or management consulting firm
Skills & Capabilities:
- Understanding of business and innovation concepts
- Good knowledge of representing qualitative and quantitative info sets
- Proficiency in data visualization tools and software (e.g., MS Office, Tableau)
- Excellent report writing and presentation skills
- Familiarity with financial analysis and projections
+ Attributes
- Entrepreneurial mind-set with a passion for start-ups
- Ability to thrive in a fast-paced, dynamic environment
- High level of professionalism and integrity.
+ Why Join Us?
- Impact: Create industry-first propositions that propel start-ups towards exponential growth.
- Growth: Opportunities for professional development and career advancement.
- Culture: Be part of a collaborative and supportive team that values innovation and creativity.
- Compensation: Competitive salary and benefits package.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Path-Finder
About
At Pathfinder we identify with the need to build Strategy for Innovative Ventures in a ‘Digital Native’ manner. Our frameworks provide holistic guidance to startups navigating the challenging 0-1 terrain. We imbibe the adage – Strategy is what you see & not what you say, and transforming our frameworks into intuitive playbooks is the act at the end of the play.
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MUST-HAVES:
- LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
- Context & Knowledge Base Design.
- Context & Knowledge Base Design.
- Experience running LLM evals
NOTICE PERIOD: Immediate – 30 Days
SKILLS: LLM, AI, PROMPT ENGINEERING
NICE TO HAVES:
Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments
ROLE PROFICIENCY:
Role Scope / Deliverables:
- Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
- Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
- Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
- Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
- Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
- Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.
KEY DELIVERABLES:
- LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
- Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
- Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
- Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
- AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
- Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.
KEY SKILLS:
Technical & Analytical Skills:
- LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
- Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
- Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
- Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
- Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
- Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
- Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
- Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
- Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
- Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
- Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.
Role Objective
The Product Marketing Manager will own the positioning and market narrative for Instanodes, ensuring the product is clearly understood, differentiated, and effectively adopted across target customer segments. This role sits at the intersection of Product, Sales, and Growth and is responsible for translating a technically complex infrastructure offering into clear, compelling value propositions for developers, startups/scale-ups, and enterprise customers. The PMM will drive go-to-market (GTM) strategy, enable the sales team with strong collateral, and ensure that every product launch and feature release is aligned with market needs and customer outcomes.
Key Responsibilities
1. Positioning & Messaging
a. Define and refine Instanodes’ positioning across key audiences:
- Developers building on blockchain infrastructure
- Startups and scale-ups launching or scaling Web3 products
- Enterprise organizations and rollup clients
b. Develop clear messaging frameworks that communicate product value, technical differentiation, and business outcomes.
c. Build messaging pillars, value propositions, and product narratives that can be used consistently across marketing, sales, and partnerships.
2. Competitive Intelligence
a. Conduct ongoing competitive analysis against node and infrastructure providers.
b. Identify differentiation in performance, reliability, scalability, pricing, and developer experience.
c. Create internal insights and external positioning to help Instanodes stand out in a crowded Web3 infrastructure market.
3. Go-to-Market Strategy
a. Create GTM plans and playbooks for:
- New feature releases
- New blockchain integrations and chains
- Enterprise offerings and solutions
b. Collaborate with Product and Growth teams to plan launches, announcements, and campaigns.
c. Define target personas, use-cases, and adoption strategies for each release.
4. Sales Enablement
a. Equip the Sales and Business Development teams with clear, practical assets including:
- Pitch decks
- Battle cards
- Case studies
- Demo scripts
b. Train internal teams on product value, use-cases, and messaging.
c. Gather feedback from Sales and continuously improve enablement material.
5. Content & Website Ownership
a. Own product and solution page content on the website.
b. Translate complex technical features into benefits-driven content understandable by both technical and business stakeholders.
c. Ensure website messaging supports lead generation and conversion.
6. Cross-Functional Collaboration
a. Work closely with Product Managers to understand roadmap and capabilities.
b. Align with Growth/Marketing teams on campaigns and demand generation.
c. Partner with Sales to support enterprise conversations and outbound efforts.
d. Act as the “voice of the market” inside the organization.
Requirements
- 4–7 years of Product Marketing experience (preferably in B2B SaaS, developer tools, or infrastructure products)
- Strong ability to understand and communicate technical concepts
- Experience collaborating with sales and outbound teams
- Proven capability to simplify complex technical offerings into clear business value
- Exposure to Web3, blockchain infrastructure, or developer platforms is strongly preferred
Success KPIs
- Increase in product page conversion rates
- Improvement in sales win-rate
- Higher feature adoption and usage
- Positive internal feedback from sales teams on enablement assets and clarity of messaging
We have a requirement for Freshers Graduates
Location- Noida -63
6 Days Working -Rotational Offs
Preferred candidates who is willing to work in Night Shift.
Should be comfortable for outbound sales profile.
Preferred -Male Candidates
Should have a excellent communication skills
Python
NodeJS (Node.js)
React.jsJob Title: Software Engineer
Location: Bengaluru
Experience: 1-3 Years
Working Days: 5 Days
About the Role:
We are reimagining how enterprises in BFSI and healthcare interact with documents and workflows through AI-first platforms. Our focus is on Intelligent Document Processing (IDP), GenAI-powered analysis, and Human-in-the-Loop (HITL) automation to transform credit decisioning, underwriting, and compliance operations.
Role Overview:
As a Software Engineer, you’ll design and build next-generation AI systems and scalable backend platforms. You’ll collaborate with ML, product, and data teams to develop LLM-powered microservices, APIs, and document intelligence tools that process unstructured data (PDFs, images, HTML) securely and efficiently.
Key Responsibilities:
- Design, develop, and optimize scalable backend systems and APIs for AI and document workflows.
- Collaborate with cross-functional teams to integrate LLM agents and deploy GenAI-based microservices.
- Build tools to structure unstructured data for downstream decisioning logic.
- Ensure security, performance, and reliability of systems handling sensitive financial and healthcare data.
- Take ownership of modules end-to-end—from concept to production rollout and monitoring.
Tech Stack:
- Languages: Python, TypeScript, JavaScript
- Frameworks: Node.js, React.js, LangChain
- AI & ML Tools: OpenAI APIs, OCR (Tesseract, AWS Textract), Pandas, spaCy, FinBERT, LLMs (GPT, Claude)
- Infra & DevOps: AWS, GCP, Docker, Kubernetes, PostgreSQL, Redis, GitHub Actions, Datadog, Grafana
You’ll Excel If You Have:
- 1–3 years of experience in backend or full-stack development
- Experience with unstructured data, PDFs, or document-heavy systems
- Exposure to GenAI/LLM APIs (OpenAI, Claude, etc.)
- Strong product mindset and ability to ship scalable, usable features in fast-paced environments
- Excellent communication (Written & Verbal), presentation skills with a positive attitude to engage with stakeholders
- At least 4 years of hands-oncoding experience in test automation, preferably VB script (must be presently working in automation project)
- At least 1 year of experience in Mobile automation (iOS and Android)
- Design, create and maintain Automated Test Scripts for the front end and back-end systems
- Enhance existing/create automation test frameworks
- Knowledge of pipeline execution
- Experience in Agile Scrum methodologies in sprint automation Test design and automation experience in web applications client-server applications mobile applications
- Knowledge of Jira, BDD Cucumber etc.
Kubernetes
Docker
Amazon Web Services (AWS)Experience and Education
• Bachelor’s degree in engineering or equivalent.
Work experience
• 4+ years of infrastructure and operations management
Experience at a global scale.
• 4+ years of experience in operations management, including monitoring, configuration management, automation, backup, and recovery.
• Broad experience in the data center, networking, storage, server, Linux, and cloud technologies.
• Broad knowledge of release engineering: build, integration, deployment, and provisioning, including familiarity with different upgrade models.
• Demonstratable experience with executing, or being involved of, a complete end-to-end project lifecycle.
Skills
• Excellent communication and teamwork skills – both oral and written.
• Skilled at collaborating effectively with both Operations and Engineering teams.
• Process and documentation oriented.
• Attention to details. Excellent problem-solving skills.
• Ability to simplify complex situations and lead calmly through periods of crisis.
• Experience implementing and optimizing operational processes.
• Ability to lead small teams: provide technical direction, prioritize tasks to achieve goals, identify dependencies, report on progress.
Technical Skills
• Strong fluency in Linux environments is a must.
• Good SQL skills.
• Demonstratable scripting/programming skills (bash, python, ruby, or go) and the ability to develop custom tool integrations between multiple systems using their published API’s / CLI’s.
• L3, load balancer, routing, and VPN configuration.
• Kubernetes configuration and management.
• Expertise using version control systems such as Git.
• Configuration and maintenance of database technologies such as Cassandra, MariaDB, Elastic.
• Designing and configuration of open-source monitoring systems such as Nagios, Grafana, or Prometheus.
• Designing and configuration of log pipeline technologies such as ELK (Elastic Search Logstash Kibana), FluentD, GROK, rsyslog, Google Stackdriver.
• Using and writing modules for Infrastructure as Code tools such as Ansible, Terraform, helm, customize.
• Strong understanding of virtualization and containerization technologies such as VMware, Docker, and Kubernetes.
• Specific experience with Google Cloud Platform or Amazon EC2 deployments and virtual machines.c
Key Job Purpose: Responsible for demand acquisition from all the channels in a specific zone
Key Tasks/Responsibilities:
1. Discovery of small medium enterprises/ traders within the region and building supply pipeline for all operating routes
2. Provide requisite support to the team in negotiation & closure
3. Conduct regular outreach through calls/ in - person meetings with clients and team
4. Achieve monthly targets
5. Build effective teams and manage productivity of team members to deliver the results
6. Engagement of customers during free trial
Incentive- Profit sharing on monthly sales achieved.
Go Programming (Golang)
JavaPython● Be responsible for programming and software development using various programming languages and related tools and frameworks, reviewing code written by other programmers, requirement gathering, bug fixing, testing, documenting and implementation.
● Good understanding of GoLang and microservices
● To take up development and deployment of native code to manage the customer facing platforms
● Explain complex technical issues to project managers, developers, application leads and architects in an easy to understand manner, and recommend clearly thought out solutions.
● Knowledge of Integration Design patterns for building middleware systems from the ground up
● Knowledge of Web Services Interoperability, standards and ability to suggest, criticize and formulate solutions in a multi-vendor and architecture discussions.
● Develop solutions by designing system specifications, standards and programming
● Troubleshoot issues and provide bug fixes
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon