Staff Data Scientist – Supply Chain AI (Small Language Models)  

At Avathon, we build AI products that solve real industrial problems at scale. We believe the future of enterprise AI lies in small, focused, high-performance models—deeply grounded in domain context—not just large, generic systems. 

We’re looking for an experienced Data Scientist to join our Supply Chain AI team in India. In this role, you’ll design, fine-tune, and deploy optimized Small Language Models (SLMs) that power production-grade AI features across logistics, planning, inventory, and demand forecasting. 

What Makes This Role Unique 

This is a product-first data science role. You won’t just build models—you’ll own how they show up in real products used by large enterprises. Your work becomes the intelligence layer that sits on top of our graph and indexing systems and directly drives customer outcomes. 

What You’ll Do 

• Build and fine-tune SLMs/LLMs for production use cases such as semantic search, forecasting, contract intelligence, and conversational insights. Optimize models for performance, cost, and latency using PEFT, quantization, and efficient inference techniques 

• Embed supply chain knowledge into models by working closely with domain experts and product teams 

• Enable agentic workflows, allowing AI Assistants to execute planning, optimization, and decision-support tasks 

• Integrate models into products using custom Lambdas, and a Graph-based microservices architecture  

• Apply vector search and semantic reasoning to help customers navigate complex supply chain relationships 

• Work with real enterprise data—ERP, logistics, inventory, supplier, and contract datasets 

• Deploy and operate models using strong MLOps practices on platforms like AWS, GCP or AZURE 

• Measure and improve quality, reducing hallucinations and improving reliability through continuous evaluation 
• Partner with engineering, product, and operations teams to ship impactful AI features end-to-end 

What We’re Looking For 

• Experience working with SLMs (Mistral, Phi, Nemotron, Llama variants), applying parameter-efficient fine-tuning (LoRA/QLoRA) to optimize task-specific natural language query answering with high accuracy and minimized hallucinations. 

• Strong understanding of supply chain data and workflows (logistics, inventory, procurement, ERP systems) 

• Familiarity with Knowledge Graphs and graph-based data modeling, including designing and querying Neo4j graphs for relationship-driven insights. 

• Solid hands-on skills in Python, PyTorch/TensorFlow, GraphQL, and vector databases 

• 8+ years of experience in forecasting, optimization, supply chain analytics, or AI-driven products 

• Experience designing Retrieval-Augmented Generation pipelines using document chunking, metadata filtering, hybrid (dense + sparse) retrieval, and SLM/LLM grounding for enterprise knowledge search. 

• Hands-on experience building and tuning FAISS-based vector indexes (IVF, HNSW, PQ) for large-scale semantic similarity search with low-latency production deployment 

• Experience taking models from prototype to production 

• Bonus: reinforcement learning, MARL, graph neural networks, or probabilistic modeling 

• Clear communication skills and a strong sense of product ownership 

Why Avathon 

You’ll work on core AI products, not experiments—solving complex supply chain problems for global enterprises, while building from India as a key innovation hub. 

If you enjoy shipping AI that delivers measurable business value, this role is for you. 

Location: Bangalore (onsite).

Work Mode: Onsite 5 days

Experience: Atleast 5+ years

Industry Background Preferred: Enterprise AI Technology, Manufacturing, Energy (conventional and renewables), Aerospace & Defense, Supply Chain and Transportation, Industrial Technology

About the Role

We are looking for a marketing professional with the ability to manage projects across conceptualising, researching, writing, and editing content for our B2B audience. This includes website copy, thought leadership pieces, presentations, white papers, articles/blog posts, videos, social media, and more.

You will be responsible for maintaining the voice of the Avathon brand, its products, and solutions.

You must have the ability to work both independently and collaboratively to meet deadlines and develop cohesive and well researched concepts. This role involves close collaboration with teams across sales, product development, and marketing to help generate leads, conduct Marketing research and promote content. If you can quickly absorb, analyze, and translate complex information, research and technologies into compelling content, we want to talk to you!

What You’ll Do

• Monitor competitor strategies, products and marketing efforts to identify potential market opportunities

• Translate complex data into easy-to-understand reports, graphs, and presentations for stakeholders.

• Bring to life the concept and execution of our artificial intelligence (AI) products and solutions for marketing and sales initiatives.

• Research and compile information to prepare moderately complex documents.

• Create and/or facilitate the production of content to support current sales, demand generation, and marketing efforts.• Help maintain a library of current content and ensure timely updates when necessary.

• Predict future sales trends and market shift, provide insights into customer demands, identify customer needs and content gaps, and recommend new content formats and channels.

• Ensure consistency across all content in terms of style, tone, format, nomenclature, and brand voice.

What You Bring

• 5+ years of content writing experience, preferably in the AI or enterprise technology field as industry domains listed above.

• Degree in Marketing, English, Communications, Journalism, or a related field.

• Understanding of data science, advanced analytics, and/or related technologies.

• Preferably but not limited to a background in energy, oil & gas, manufacturing, automotive, aerospace and defence, and supply chain is a plus.

• Experience conducting research using multiple reputable sources.

• Proficiency with Microsoft Office suite.

• Excellent written and verbal communication skills in English with strong grammar and attention to detail.

• Ability to take direction, manage time independently, and work collaboratively with cross-functional teams.

• Comfort working in a dynamic, fast-paced environment with stakeholders across multiple departments.

Marketing Programs Specialist

Location: Bangalore (onsite). Candidates are expected to report to the office 5 days a week.

Experience: 3–5 years

Type: Full-Time

We’re looking for a versatile and results-driven Marketing Programs Specialist to join our growing global marketing team in Bangalore. This role is ideal for a hands-on marketer with a blend of skills in campaign execution, event coordination, and cross-functional collaboration. You’ll play a key role in bringing integrated marketing programs to life—ranging from field events and webinars to demand generation campaigns and digital content. This is a full-time, onsite position in our Bangalore office, offering broad exposure across the marketing function in a fast-paced, innovation-driven environment.

What You’ll Do

• Execute integrated marketing campaigns across digital, email, events, and partner channels to drive awareness and lead generation.
• Support planning and execution of field marketing events, including industry tradeshows, customer events, executive roundtables, and regional activations.
• Coordinate end-to-end execution of webinars, including setup, promotion, hosting, and post-event reporting.
• Support cross-functional marketing campaigns by aligning with sales, product, content, and global marketing teams.
• Assist with planning and logistics for event deliverables including event materials, swag, signage, demos, and lead capture forms.
• Coordinate basic social media content publishing (LinkedIn, Twitter) in collaboration with the content team.
• Track event performance and KPIs, prepare post-event summaries, and contribute to ongoing improvements.
• Maintain marketing calendars, event schedules, and campaign checklists to ensure timely execution.
• Stay up-to-date with event and webinar best practices and contribute creative ideas for improving audience engagement.

What You Bring

• 3–5 years of experience in marketing management—preferably in B2B or tech environments.
• Proven track record in executing marketing campaigns and coordinating field marketing events.
• Proven ability to manage event logistics, communications, and virtual event platforms (e.g., Zoom, LinkedIn, Microsoft Teams, Riverside.fm).
• Strong project management and organizational skills with a keen eye for detail.
• Excellent communication skills in English—both written and spoken.
• Experience using marketing tools like HubSpot, Salesforce, Canva, or Asana is a plus.
• A self-starter who enjoys working independently and cross-functionally to meet tight deadlines.
• Strong time management and adaptability in a fast-paced, dynamic work environment.

Why Join Us?

• Collaborate with a global marketing team on high-visibility programs across key industries.
• Be part of a fast-growing company that’s redefining the future of industrial AI and innovation.
• Gain exposure to a wide range of marketing functions and growth opportunities.
• Enjoy a supportive culture, and a mission-driven environment.

About the Role: Administrative Assistant, CEO Office

As the Administrative Assistant, you will act as a trusted operator and force multiplier, ensuring the CEO’s time, focus, and priorities are aligned with the company’s most critical objectives. You will bring 10+ years of experience supporting senior executives in fast-paced technology or startup environments, with a proven ability to manage complexity, anticipate needs, and execute with precision.

This role requires exceptional judgment, discretion, and the ability to operate independently while staying tightly aligned with leadership priorities.

What You Will Do

• Own and strategically manage the CEO’s calendar by prioritizing high-impact engagements and protecting focus time
• Anticipate scheduling conflicts and proactively resolve them with minimal guidance
• Coordinate complex, multi-party meetings across internal and external stakeholders
• Track CEO priorities, action items, and follow-ups to ensure nothing falls through the cracks
• Identify inefficiencies in workflows and implement improvements
• Coordinate and distribute high-quality meeting materials in advance (briefings, agendas, context)
• Ensure meetings are set up for success with clear objectives and outcomes
• Capture structured notes, decisions, and next steps; track ownership and timelines
• Serve as a key point of contact across leadership, employees, investors, and external partners
• Coordinate communications, introductions, and follow-ups with professionalism and discretion
• Maintain strong relationships across teams to ensure seamless execution
• Plan and manage complex domestic and international travel itineraries
• Handle expenses, logistics, and last-minute changes with efficiency
• Support leadership cadence meetings, operating reviews, and company-wide initiatives
• Assist in coordinating internal events such as town halls and leadership roundtables and board meetings
• Partner with communications and PR teams to support CEO engagements and appearances

Minimum Qualifications

• 10+ years of experience supporting C-level executives, preferably CEOs, in fast-paced tech or startup environments
• Proven ability to manage complex calendars, competing priorities, and high-volume workflows
• Exceptional organizational skills and attention to detail
• Strong written and verbal communication skills
• High level of discretion, judgment, and professionalism

Preferred Qualifications

• Experience in high-growth or venture-backed startup environments
• Ability to anticipate needs and operate proactively with minimal direction
• Strong problem-solving skills and operational mindset
• Experience working cross-functionally with senior leadership teams
• Interest in AI, technology, or industrial sectors

Compensation & Benefits

• Competitive base salary: $90,000 – $120,000 USD (commensurate with experience)
• Equity in the form of stock options
• Comprehensive health, dental, and vision coverage
• 401(k) participation

Location: This role is neither remote nor hybrid. Candidates must be based in the Bay Area, CA and are expected to report to the Pleasanton office 5 days a week.

About the Role

As a founding member of our GTM team at Avathon, you will play a pivotal role in identifying and qualifying sales opportunities across the Avathon Autonomous Operations Platform. You will engage directly with prospective customers, understand their business needs, and articulate how Avathon’s solutions can deliver transformative outcomes.

This is an excellent opportunity to build foundational experience in enterprise technology sales and contribute to the growth of an industry-leading AI company.

You Will

• Conduct outbound and inbound prospecting via phone, email, and LinkedIn to generate and qualify leads.
• Understand customer challenges and position Avathon’s AI solutions to meet their strategic needs.
• Nurture early-stage relationships with senior executives including Chief Supply Chain Officers, CIOs, manufacturing and logistics leaders and schedule qualified meetings.
• Stay current on the Avathon product portfolio, industry trends, and competitive landscape.
• Maintain accurate prospect and customer records using Hubspot, Salesforce and other internal tools.
• Collaborate closely across the organization to align on evolving technology and customer value proposition.
• Meet and exceed monthly and quarterly lead generation and activity targets.

Qualifications

• Bachelor’s degree in business, Marketing, Communications, or a related field.
• 1–5 years of relevant experience in sales, business development, or customer-facing roles.
• Excellent written and verbal communication skills.
• Strong interest in enterprise technology and AI.
• Ability to work independently and collaboratively within a high-performing team.
• Motivated, organized, and eager to contribute to a growing company with a fast-paced culture.

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.

Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.

Salary:

$100k OTE. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

What are the benefits and perks at Avathon?

Our full-time employees and their loved ones will be supported with a competitive and comprehensive benefits package. Below are some highlights we offer to our U.S. full-time employees - we’d love to connect and share more! 

• Evolving culture with the opportunity to drive new ideas and technology
• Stock Option Grants
• Generous Time Off Programs
• Medical Coverage, and Parental Leave Plans 
• Employer-Sponsored Lifestyle Spending Account
• 401k with Employer Match
• Monthly Technology Allowance 
• Contract and temporary roles are not eligible for the above benefits.

Position Summary:

We are seeking a dynamic Account Executive Sales - Renewable Energy to drive revenue growth in the renewable energy sector. In this executive role, you will be responsible for expanding our market presence, building strategic partnerships, and delivering tailored solutions to clients in the renewable energy industry. You will leverage your deep industry knowledge, sales expertise, and leadership skills to propel our business forward and solidify our position as an industry leader. 

What You’ll Do:

• Develop and execute a comprehensive sales strategy to drive revenue growth and market penetration in the renewable energy sector. 
• Identify and cultivate key relationships with utilities, developers, independent power producers, and other stakeholders.
• Lead high-level negotiations and close complex sales deals, ensuring alignment with company objectives and profitability goals.
• Utilize a consultative sales approach to understand client needs, tailor solutions, and deliver value-driven proposals.
• Collaborate cross-functionally with product, marketing, and engineering teams to refine offerings and enhance customer experience.
• Monitor industry trends, regulatory changes, and market dynamics to inform business strategies.
• Represent the company at industry conferences, trade shows, and key networking events to elevate brand presence and drive lead generation.
• Provide accurate forecasting, pipeline management, and sales performance analysis to executive leadership. 

You'll Have:

• US Citizenship (required) 
• 8+ years of experience in enterprise sales, with a proven track record of leadership in the renewable energy sector (solar, wind, energy storage, grid solutions, etc.).
• Strong background in selling complex solutions, including SaaS, hardware, or integrated technology platforms, to energy stakeholders.
• Established relationships with key decision-makers within the renewable energy ecosystem.
• Develop and execute a business plan that will achieve sales quota and budget as defined by the company.
• Bachelor’s degree in business, engineering, or a related field (MBA preferred).
• Expertise in navigating regulatory and policy frameworks within the energy industry.
• Exceptional leadership, communication, and negotiation skills.
• Ability to travel as required to meet clients, attend events, and drive business growth.

Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.

Salary:

$260k OTE. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

What are the benefits and perks at Avathon?

Our full-time employees and their loved ones will be supported with a competitive and comprehensive benefits package. Below are some highlights we offer to our U.S. full-time employees - we’d love to connect and share more! 

• Evolving culture with the opportunity to drive new ideas and technology
• Stock Option Grants
• Generous Time Off Programs
• Medical Coverage, and Parental Leave Plans 
• Employer-Sponsored Lifestyle Spending Account
• 401k with Employer Match
• Monthly Technology Allowance 
• Contract and temporary roles are not eligible for the above benefits.

• Oversee and manage day-to-day accounting operations, ensuring compliance with U.S. GAAP, internal policies, and established internal controls.
• Apply ASC 606 revenue recognition principles, including reviewing customer contracts, identifying performance obligations, supporting revenue schedules, and ensuring accurate and timely revenue reporting.
• Prepare and analyze financial statements, balance sheets, and profit and loss reports to support management decision-making and financial transparency.
• Assist with month-end and year-end close processes, including preparation of journal entries, account reconciliations, and variance analysis.
• Maintain general ledger accounts and supporting documentation, ensuring accuracy and audit readiness while supporting external audit and tax preparation processes.
• Partner cross-functionally with Program Management, Sales, Legal, and Finance teams to ensure accurate contract interpretation, billing alignment, and consistent application of revenue recognition policies.
• Identify opportunities to improve accounting processes, enhance documentation, and strengthen internal controls to increase efficiency, accuracy, and scalability.

• 7-10+ years of accounting experience, including experience applying ASC 606 revenue recognition principles.
• Strong knowledge of U.S. GAAP and technical accounting concepts.
• Experience working with general ledger systems and financial reporting tools.
• Advanced proficiency in Microsoft Excel and strong analytical capabilities.
• Detail-oriented mindset with strong organizational, analytical, and problem-solving skills.
• Ability to manage competing priorities and meet deadlines in a fast-paced environment.
• CPA or equivalent certification preferred
• Experience with Sage Intacct, Concur, and Tipalti preferred

We are looking for a Product Manager to lead our integrated demand planning module and the downstream planning workflows it feeds -- demand-supply matching, inventory positioning, and asset rebalancing. You will own the product from consensus demand through executable supply decisions, partnering with engineering, data science, and customers to define and deliver the planning experience.

You Will

• Own the demand planning module -- statistical forecasting, ML-based demand sensing, and collaborative demand review workflows
• Define requirements for demand segmentation, forecast value-add (FVA) tracking, and bias/accuracy analytics
• Drive integration between demand signals (customer contracts, project forecasts, production schedules, commodity indices, macro-economic indicators) and the planning engine
• Own demand-supply matching -- how the consensus demand plan flows into supply allocation, inventory positioning, and asset rebalancing decisions
• Define product requirements for inventory repositioning workflows -- where to hold stock, when to rebalance across locations, and how to surface trade-offs to planners
• Design the collaborative planning experience -- structured workflows for demand analysts, supply planners, sales teams, and S&OP leaders to review, override, and approve plans with auditability
• Shape the vision for agentic planning -- we are building AI agents (like our manufacturing planner agent) that autonomously generate forecasts, flag exceptions, and recommend supply actions; you will define how planners interact with, supervise, and override these agents
• Partner with data science to translate ML model outputs into planning recommendations that are understandable and actionable in the product
• Gather feedback from planners and S&OP leaders, validate hypotheses, and iterate based on real planning cycles

You'll Have

• 5+ years of product management experience, with meaningful exposure to supply chain planning software (demand planning, S&OP, inventory, or supply planning)
• Depth in demand planning -- you understand how statistical and ML-based forecasting methods work, what forecast accuracy metrics mean, and how demand plans flow into supply decisions
• Breadth across supply chain planning -- you've worked across enough of the plan-to-fulfill chain (demand-supply matching, inventory optimization, S&OP) to connect the pieces
• Experience with at least one planning platform (SAP IBP, Kinaxis, o9, Blue Yonder, Oracle, or similar)
• Ability to write clear product requirements for data-heavy features -- pipelines, model integration, analytics
• Strong communication skills; comfortable translating between data science teams and business planners
• Bachelor's degree in a quantitative or technical field; MBA is a plus

Preferred Qualifications

• Experience building products that incorporate ML/AI or agentic workflows into planning processes
• Exposure to B2B demand signal integration -- contract-based demand, project pipelines, or IoT/sensor-based consumption signals
• Experience with inventory positioning, network optimization, or allocation planning
• Experience in mining, manufacturing, energy, aerospace, or other industrial B2B environments
• Familiarity with computational knowledge graphs or decision intelligence platforms
• Startup or high-growth SaaS experience

Benefits & Perks

What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!

• Evolving culture with the opportunity to drive new ideas and technology
• Stock Option Grants
• Medical Coverage and Parental Leave Plans
• 401k with Employer Match
• Monthly Technology Allowance
• Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

Contract and temporary roles are not eligible for the above benefits.

Compensation

Pay Range: $140k - $180k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.

About the Role: 

We are seeking an experienced Product Manager to join our team as we develop cutting-edge AI-based Logistics Planning and Transportation Management software solutions. In this role, you will be responsible for leading the end-to-end product development process for our Logistics and Transportation product suite. You will work closely with cross-functional teams and stakeholders to define product requirements and ensure successful implementation. 

As a Product Manager, you will drive product strategy and roadmap planning, considering market trends, competitor analysis, and customer feedback. You will collaborate with engineering teams to prioritize features, define user stories, and deliver roadmap items on time. Additionally, you will be responsible for defining and monitoring key performance indicators (KPIs) to measure product success and make data-driven decisions. 

You Will: 

• Drive product strategy and roadmap planning for Logistics, Transportation, and Global Trade Management solutions 

• Define product requirements for shipment visibility, carrier management, and load optimization capabilities 

• Lead the end-to-end product development process from ideation to launch 

• Collaborate with engineering and data science teams to prioritize features for AI-driven logistics automation 

• Work on carrier onboarding, rating/routing, and shipment lifecycle management features 

• Define requirements for global trade compliance including tariff classification, customs, and trade regulations 

• Drive EDI integration capabilities and carrier collaboration workflows 

• Gather customer feedback, contribute to proposals, provide input to product pricing, and help drive customer adoption 

• Define and monitor key performance indicators (KPIs) to measure product success 

• Present product updates and roadmap plans to stakeholders in a clear and concise manner 

• Collaborate with sales and marketing teams to develop go-to-market strategies and support product launches 

You’ll Have: 

• Bachelor’s degree in Computer Science, Engineering, Logistics, Supply Chain Management, or a related field; MBA is a plus 

• 5+ years of experience in product management, preferably delivering solutions within the Transportation or Logistics industry 

• Strong understanding and experience of Logistics Planning, Transportation Management (TMS), Freight Optimization, Route Planning, or Warehouse Management (WMS) 

• Knowledge of EDI, API, agents standards and logistics data exchange (EDI 204, 214, 990, 997, etc.) 

• Understanding of shipment lifecycle management (booking, tendering, tracking, POD, freight audit) 

• Experience with logistics/transportation software (Oracle TMS, SAP TM, Blue Yonder, project44, FourKites, or similar) 

• Knowledge of multimodal transportation (road, rail, ocean, air) and global trade management 

• Proven track record of delivering successful software products and driving business growth 

• Exceptional communication and presentation skills, with the ability to communicate complex ideas clearly and effectively 

• Strong analytical and problem-solving skills, with the ability to make data-driven decisions 

Nice to Have: 

• Experience with AI/ML-driven logistics optimization and predictive ETA solutions 

• Knowledge of HTS classification, duty/tariff calculation, and trade compliance automation 

• Experience with denied party screening, sanctions, and export controls 

• Understanding of FTA (Free Trade Agreement) and duty drawback processes 

• Knowledge of real-time visibility platforms and IoT integration 

• Experience with agentic AI or autonomous logistics workflows 

• Experience with carrier management, load optimization (FTL/LTL), and freight audit 

• Startup experience preferred 

Salary Range: $140k-$180k/year

As a Solution Architect you are responsible for discovering customer requirements, validation of customer data, and providing product expertise in the form of software demonstrations and asking probing questions to understand customer expectations and the appropriate scope for implementation. You will be a deep technical expert on how Avathon's software delivers technical value and how it is configured and deployed into customer environments. You will use your technical expertise and hands-on analytic capabilities to understand, communicate, and validate the customer’s data and environment against the solution requirements.
Join us in:

• Partnering with Product and Services teams to stay up-to-date on capabilities, roadmap, and technical delivery
• Clearly messaging the technical value and limitations of our products in presentations and conversations
• Developing and delivering technical content to share across the broader team to help Marketing and Sales message the solution capabilities to both technical and non-technical audiences
• Gaining customer trust by asking pointed questions and being an excellent listener during calls and meetings
• Exceeding customer expectations with regards to responsiveness, professionalism, and honesty
• Validating and mapping customer technical requirements to Avathon product capabilities while taking into account the available data, IT infrastructure, and security requirements.
• Consolidating and communicating customer feedback to product and marketing teams
• Providing web and in-person product and data presentations and demonstrations of Avathon's software to potential customers and partners
• Building and delivering demos using customer data to tell meaningful stories while documenting your work for both internal and external collateral
• Keeping excellent documentation of all customer interactions
• Scoping and writing customer proposals and responding to RFPs
• Scoping and delivering Proof of Concept engagements using customer provided data

You'll Have:

• At least 8 years experience as a PreSales engineer, software engineer, technical sales, technical consulting, or similar work experience
• At least 5 years demonstrated experience with Python and familiar with Jupyter Notebooks, Pandas, and other libraries to visualize and model data using cloud-based VMs (Google, Azure, AWS)
• At least 6 years experience in customer facing roles
• A certificate or demonstrated experience in Data Science or Machine Learning
• Excellent written and verbal communication skills
• Excellent listening and documentation skills
• Demonstrated leadership in coordinating and driving cross-functional efforts
• Flexibility to travel 20% or as business needs require

It would be great if you had:

• Experience working in industrial environments with direct exposure to industrial safety, operations, and equipment maintenance programs
• Experience with computer vision or vision-based AI modeling
• Experience or a desire to participate in public speaking and promoting thought leadership in the domain of applied AI
• Experience configuring and deploying cloud services for compute and data storage

What are the benefits and perks at Avathon?
Below are some highlights we offer to our U.S. full-time employees - we’d love to connect and share more!

• Evolving culture with the opportunity to drive new ideas and technology
• Stock Option Grants
• Medical Coverage, and Parental Leave Plans
• 401k with Employer Match
• Monthly Technology Allowance
• Newly renovated office space located near Pleasanton, CA - including fully stocked beverage and snack areas!
• Contract and temporary roles are not eligible for the above benefits.

Pay Range: $225k OTE salary. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. This role is not remote. Candidates must be based in the Bay area, CA and are expected to report to our office 5 days a week.

Position Summary:

Avathon’s Industrial AI Suite is the world's leading AI enabled SaaS platform that provides asset performance management and prescriptive analytics software to ever growing Aviation, Manufacturing, Mining, Renewable and Oil & gas energy power plants by combining the power of machine learning, big data, and deep domain expertise. Our Data Engineering and Science platform works across multiple capital intensive industrial asset types to offer insights to our customers.

Join us in developing and applying cutting-edge Enterprise Data Engineering solutions for commercial and industrial AI SaaS applications. We are looking for candidates with strong expertise in large scale Data Engineering, building scalable ETL pipelines to enable our AI enabled Saas Asset Performance Management. As a Senior Data platform Engineer you will be working closely with team members across domains with deep technical skills and Industrial AI domain. 

What you will do:

• Work on engineering projects to design, construct, install, test and maintain highly scalable data management systems (data lakes, warehouses, pipelines) to ensure secure, efficient data flow and accessibility for analytics and AI/ML
• Building robust ETL pipelines and automating data workflows. Focus on automating data management, implementing DevOps principles (CI/CD, monitoring), and collaborating on data architecture.
• Utilise Key tools include Python, SQL, Cloud platforms (AWS/Azure/GCP), Kafka, Spark, and Docker. 
• Developing and maintaining scalable ETL and MLOps pipelines and workflows.
• Enforcing data quality rules to ensure consistency, completeness, and accuracy across ETL processes.
• Designing, constructing, testing, and maintaining highly scalable data management systems.
• Mentoring a team of Data Analysts, Data Engineers, and Data Quality Specialists.
• Fostering a culture of continuous learning, collaboration, and data-driven decision-making.

You’ll have:

• Excellent programming skills in Python, along with deep expertise in relational databases (MSSQL/MySQL/Postgres).
• 5+ years of hands-on experience in data engineering with a solid foundation in architecture principles.
• 1+ years of leadership or mentorship experience of data teams.
• Strong understanding of serverless architectures and building scalable ETL pipelines.
• Effective communication and leadership skills, capable of driving projects to completion.
• People and project management experience is a plus.

It would be great if you had:

• Experience in Industrial Engineering Systems like IoT time series data or even old legacy systems e.g. PLC, SCADA systems.
• Experience with cloud-native tools, particularly AWS or GCP.
• Willingness to adopt new technologies to enhance data quality and ETL processes.
• Hands-on experience in DevOps, focusing on cloud-native technologies.
• Expertise in debugging and troubleshooting ETL pipelines, data transformations, and integrity issues.

Other requirements:

This is 5 days onsite work week schedule

A design/ coding challenge is a prerequisite for this position.

We are seeking a Senior Accountant Associate to join our rapidly expanding team of seasoned finance professionals. This position shall report to the Finance Head (India) and play an important role in helping shape the accounting team as the company grows. This role presents an incredible learning opportunity and will include exposure to a variety of accounting processes and business process optimization (for the US parent company and our India subsidiary) in a global, fast-paced, and growing environment.

Location: Bangalore (Onsite 5 day workweek)

Key Responsibilities

Revenue Accounting

- Ensure accurate revenue recognition in line with applicable accounting standards (Ind AS / IFRS / ASC 606).

- Review customer contracts and support revenue assessment including accruals, deferrals, and adjustments.

- Maintain revenue schedules and reconcile billed vs recognized revenue.

- Support monthly revenue close and audit requirements.

Accounts Payable

- Manage end-to-end AP process including vendor onboarding, invoice processing, and payment runs.

- Ensure correct accounting, GST compliance, and timely settlements.

- Reconcile vendor statements and resolve discrepancies.

Group & Intercompany Accounting

- Record and reconcile intercompany transactions including AR/AP, cost allocations, and recharges.

- Support group reporting and eliminations during monthly close.

- Assist in consolidation schedules and coordination with group finance teams.

Month-End Close & Compliance

- Support monthly, quarterly, and annual close activities.

- Prepare balance sheet reconciliations and ensure timely closure of open items.

- Assist with statutory audits, internal audits, and information requests.

- Ensure compliance with internal controls and accounting policies.

Desired Skills & Qualifications

- Total at-least 5 years experience (3 to 4 years of experience in accounting roles with exposure to revenue accounting)

- Bachelor’s degree in commerce, Accounting, or Finance. Professional accounting qualification (CA Inter / ACCA / CMA – pursuing or completed) is preferred.

- Strong understanding of accounting principles and month-end close processes.

- Hands-on experience with AP and intercompany accounting.

- Working knowledge of GST and basic compliance requirements.

- Proficiency in Excel and familiarity with ERP systems (Intacct & Zoho Books)

- Ability to work independently and manage multiple priorities.

What We Are Looking For

- Strong attention to detail and ownership mindset.

- Clear communication and ability to coordinate with cross-functional teams.

- Comfortable working in a fast-paced, growing organization.

- Willingness to learn and adapt to evolving accounting requirements.

About the Role:

As a Data Science Intern, you will be an essential contributor to our AI-driven initiatives. You’ll leverage your knowledge in statistics, machine learning, and programming to analyze large datasets and deliver insights that drive key business decisions. This role offers the opportunity to work alongside experienced professionals and collaborate across multiple teams, gaining valuable exposure to real-world AI applications in renewable energy, supply chain, and industrial operations. 

You will be working closely with team members who have deep technical skills and a passion for solving complex problems with data science and machine learning. 

You Will: 

• Analyze complex datasets to extract actionable insights for renewable energy, supply chain, and industrial applications 

• Develop and apply machine learning models to solve real business challenges 

• Apply data mining techniques, statistical analysis, and help build prediction systems 

• Assist in feature selection, data preprocessing, and model optimization 

• Collaborate with cross-functional teams to design data-driven solutions 

• Create automated anomaly detection systems and track performance metrics 

• Present findings and results to both technical and non-technical stakeholders 

• Contribute to product development by implementing algorithms in our platform 

You’ll Have: 

• Currently enrolled or recently graduated with a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, Physics, Engineering, or a related field 

• Proficiency in programming languages such as Python or R 

• A solid understanding of machine learning techniques and algorithms (regression, classification, clustering) 

• Experience with data manipulation libraries (Pandas, NumPy) 

• Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly) 

• Strong problem-solving skills and a collaborative mindset 

• Excellent written and verbal communication skills 

• A can-do attitude and desire to make a difference 

Nice to Have: 

• Familiarity with Deep Learning frameworks such as TensorFlow or PyTorch 

• Experience with time series analysis and forecasting 

• Knowledge of industrial systems or IoT time series data 

• Interest in or exposure to AI agents and agentic workflows 

• Familiarity with RAG (Retrieval-Augmented Generation) concepts and LLM applications 

• Exposure to cloud platforms (AWS, GCP, Azure) 

• Experience with SQL or Graph databases 

• Portfolio of projects demonstrating data science skills (GitHub, Kaggle, etc.) 

• Ability to stay for an extended co-op or full-time opportunity after internship 

Coding Challenge:

As part of the interview process, you will be asked to complete a technical assessment.

Salary Range: $30-$35/hour

About the Role:

As a Full Stack Engineering Intern, you will work on our AI-powered platforms that serve customers across renewables, supply chain, and industrial operations. You will develop and deploy both frontend and backend application components, create visualization dashboards, and contribute to internal tools. This role offers the opportunity to work alongside experienced engineers and gain hands-on experience with modern web technologies and cloud infrastructure. 

You will be working closely with team members who have deep technical skills and a passion for building scalable, user-friendly applications. 

You Will: 

• Develop and deploy frontend and backend application components 

• Create visualization dashboards and internal tools for data exploration 

• Integrate high-frequency data from IoT devices and industrial systems 

• Track performance and stability of applications 

• Contribute ideas to product strategy and user experience improvements 

• Participate in code reviews and architecture discussions 

• Write robust, maintainable code with proper documentation 

• Collaborate with data science and engineering teams 

You’ll Have: 

• Currently enrolled or recently graduated with a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field 

• Experience with modern frontend frameworks: React, Redux, or Vue.js 

• Proficiency in HTML5, CSS3, and JavaScript/TypeScript 

• Backend development experience with Python and Django or similar frameworks 

• Understanding of REST APIs and web services 

• Strong CS fundamentals: data structures, algorithms, and software design 

• Experience with version control (Git) 

• Excellent communication skills and a collaborative mindset 

• A can-do attitude and desire to make a difference 

Nice to Have: 

• Experience with CI/CD tools and deployment pipelines 

• Familiarity with AWS services (CodeDeploy, Lambda, S3) 

• Knowledge of containerization (Docker) 

• Experience with time series databases (InfluxDB, Prometheus, OpenTSDB) 

• Familiarity with Elasticsearch/ELK stack 

• Experience with data visualization tools (Tableau, KeplerGL) 

• Knowledge of MQTT or IoT communication protocols 

• Portfolio of projects (GitHub, personal website, etc.) 

• Ability to stay for an extended co-op or full-time opportunity after internship 

Benefits:

• Competitive internship compensation 

• Mentorship from experienced engineers 

• Exposure to cutting-edge AI/ML platforms and cloud technologies 

• Networking opportunities within the company 

• Potential for full-time conversion 

Coding Challenge:

As part of the interview process, you will be asked to complete a technical assessment. 

Salary Range: $30-$35/hour

Position Summary

As a Sales Director, you will be responsible for driving new business growth and expanding Avathon’s footprint within strategic enterprise accounts. You will own the complete sales cycle — from market engagement and C-suite relationship building to structuring complex, high-value deals. In this leadership role, you will partner with product, marketing, and solution engineering teams to deliver tailored SaaS enabled AI-driven solutions that directly address client challenges, while also shaping Avathon’s go-to-market strategy through market feedback.

Key Responsibilities

• Develop and execute enterprise sales strategies to acquire new logos and expand existing accounts, consistently achieving or exceeding ARR and TCV targets.
• Leverage deep understanding in any of the following Industrial Domains - Supply Chain and Logistics operations, Renewal Energy / Oil & Gas or Sales experience in AI / machine vision products for Health & Safety compliance in manufacturing. Across all these domains, Avathon builds AI solutions that enhance planning, operational efficiency, risk management, and compliance across complex industrial ecosystems.
• Build trusted C-suite and senior stakeholder relationships across target industries, positioning Avathon as a strategic partner.
• Lead complex deal cycles including RFPs, tenders, pilots, and enterprise-scale rollouts across APAC, EMEA, and NAM regions.
• Collaborate with product and engineering teams to influence roadmap direction based on enterprise customer needs, industry trends, and competitive positioning.
• Leverage partnerships with hyperscalers and OEMs (Microsoft, AWS, Google, etc.) and global system integrators to drive co-selling opportunities and pipeline growth.
• Provide market intelligence and pipeline insights to the leadership team, presenting forecasts and deal strategies with clarity and accuracy.
• Champion cross-sell and up-sell strategies across verticals to maximize customer lifetime value.
• Represent Avathon at industry forums and client workshops, showcasing our leadership and AI solutions in the above mentioned domain/ technology and enterprise AI adoption.

Qualifications & Experience

• 10+ years of experience in enterprise SaaS / AI sales, with a proven track record of exceeding multi-million-dollar quotas.
• Demonstrated success in complex enterprise sales across industries such as Oil & Gas, Energy, Manufacturing, SCM, Automotive, and Retail.
• Experience selling SaaS based AI solutions is strongly preferred.
• Strong background in navigating long deal cycles, tenders, and global RFPs.
• Proven ability to engage and influence C-suite executives and senior decision-makers.
• Experience in building new markets and scaling regions through partner alliances and channel strategies.
• Bachelor’s degree required (MBA or technical background preferred).
• Excellent communication, negotiation, and presentation skills with the ability to translate complex technology into business impact.

Position Summary:

We are seeking an experienced DevOps Engineer to join our dynamic team operating in an agile development environment. The ideal candidate will have a solid foundation in DevOps across building software pipelines, creating repeatable deployments, and experience with various infrastructure components in the cloud. As a Sr. DevOps Engineer you will be working closely with team members across domains with deep technical skills and passion for AI.

You Will:

• Design and continuously improve the infrastructure for cloud-based services and client interfaces
• Manage the day-to-day operations of our build, testing, and continuous integration environment
• Work with internal IT, Software Engineers, Cloud Architects, and fellow DevOps Engineers to build & maintain dev & prod environments
• Implement best practices for always-up, always-available services
• Proactively communicate project & task status to project stakeholders
• Occasional on-call support and customer meetings may include irregular hours as needed

You'll Have Skills:

• Kubernetes Architecture & Operations: 2+ years of experience managing production-grade clusters (GKE preferred), including expertise in K8s internals, Helm chart creation, Service Mesh (Istio), and autoscaling strategies (HPA/VPA).
• GitOps & CI/CD: Proven ability to design container-native pipelines and manage cluster state using GitOps methodologies (ArgoCD) alongside standard CI tools.
• Infrastructure as Code (IaC): Experience on Terraform for provisioning cloud resources and bootstrapping clusters.
• Observability & Reliability: Hands-on experience on full-stack observability for microservices using Prometheus, Grafana, ELK/Loki, and distributed tracing to ensure system reliability and rapid incident response.
• Core Engineering Foundation: 2+ years in DevOps/Linux Administration with strong scripting proficiency (Python, Bash, or Go) and a track record of automating workflows in fast-paced cloud environments.

**A PLUS if you provide the link to your GitHub Website

Staff Data Scientist – Supply Chain AI (Small Language Models)  

At Avathon, we build AI products that solve real industrial problems at scale. We believe the future of enterprise AI lies in small, focused, high-performance models—deeply grounded in domain context—not just large, generic systems. 

We’re looking for an experienced Data Scientist to join our Supply Chain AI team in India. In this role, you’ll design, fine-tune, and deploy optimized Small Language Models (SLMs) that power production-grade AI features across logistics, planning, inventory, and demand forecasting. 

What Makes This Role Unique 

This is a product-first data science role. You won’t just build models—you’ll own how they show up in real products used by large enterprises. Your work becomes the intelligence layer that sits on top of our graph and indexing systems and directly drives customer outcomes. 

What You’ll Do 

• Build and fine-tune SLMs/LLMs for production use cases such as semantic search, forecasting, contract intelligence, and conversational insights. Optimize models for performance, cost, and latency using PEFT, quantization, and efficient inference techniques 

• Embed supply chain knowledge into models by working closely with domain experts and product teams 

• Enable agentic workflows, allowing AI Assistants to execute planning, optimization, and decision-support tasks 

• Integrate models into products using custom Lambdas, and a Graph-based microservices architecture  

• Apply vector search and semantic reasoning to help customers navigate complex supply chain relationships 

• Work with real enterprise data—ERP, logistics, inventory, supplier, and contract datasets 

• Deploy and operate models using strong MLOps practices on platforms like AWS, GCP or AZURE 

• Measure and improve quality, reducing hallucinations and improving reliability through continuous evaluation 
• Partner with engineering, product, and operations teams to ship impactful AI features end-to-end 

What We’re Looking For 

• Experience working with SLMs (Mistral, Phi, Nemotron, Llama variants), applying parameter-efficient fine-tuning (LoRA/QLoRA) to optimize task-specific natural language query answering with high accuracy and minimized hallucinations. 

• Strong understanding of supply chain data and workflows (logistics, inventory, procurement, ERP systems) 

• Familiarity with Knowledge Graphs and graph-based data modeling, including designing and querying Neo4j graphs for relationship-driven insights. 

• Solid hands-on skills in Python, PyTorch/TensorFlow, GraphQL, and vector databases 

• 8+ years of experience in forecasting, optimization, supply chain analytics, or AI-driven products 

• Experience designing Retrieval-Augmented Generation pipelines using document chunking, metadata filtering, hybrid (dense + sparse) retrieval, and SLM/LLM grounding for enterprise knowledge search. 

• Hands-on experience building and tuning FAISS-based vector indexes (IVF, HNSW, PQ) for large-scale semantic similarity search with low-latency production deployment 

• Experience taking models from prototype to production 

• Bonus: reinforcement learning, MARL, graph neural networks, or probabilistic modeling 

• Clear communication skills and a strong sense of product ownership 

Why Avathon 

You’ll work on core AI products, not experiments—solving complex supply chain problems for global enterprises, while building from India as a key innovation hub. 

If you enjoy shipping AI that delivers measurable business value, this role is for you. 

As a Senior Data Engineer in the Engineering team: 

Data engineering team builds the robust pipelines that feed the analytics driving the renewable energy sector, enabling real-time monitoring, forecasting, predictive maintenance, and grid optimization for solar, wind, and other sources, ensuring efficiency, reliability, and effective integration into smart grids by managing massive data flows from IoT devices, PLC systems and smart meters. In essence, data engineers create the "data highways" that allow data scientists and AI to turn raw energy data into actionable intelligence, making renewable energy systems smarter, more efficient, and more reliable for a sustainable future

Join us in:

• Building and optimizing data architectures to handle large-scale data from various sources IoT, PLC, SCADA including cloud and on-premise systems.
• Architecting scalable ETL and data workflows to support advanced analytics and machine learning models in Renewable domains
• Collaborating with cross-functional teams to deliver end-to-end data solutions that drive business insights.
• Owning and leading projects that focus on data platform modernization, ensuring high performance, security, and scalability.
• Working on complex data engineering challenges that push the boundaries of cloud data infrastructure.

You'll have:

• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience designing and implementing large-scale data platforms, with at least 2 years of experience leading or mentoring data engineers.
• Hands-on experience with Python (Pandas, Polars) and modern big data tools such as Databricks (Spark), Flink, or Kafka.
• Strong understanding of data pipeline development, ETL frameworks, and data lakes/warehouses.
• Extensive experience with cloud data platforms such as AWS (S3, Redshift, Lambda, Glue), GCP (BigQuery, Dataflow, Dataproc), or Snowflake.
• Familiarity with workflow orchestration tools like Airflow or Prefect.
• Proven ability to lead data engineering teams and mentor junior engineers.

It would be great if you have:

• Experience working with IoT or real-time streaming data.
• Knowledge of data governance frameworks and best practices.
• Exposure to MLOps workflows and integrating data with machine learning models.
• Experience in the energy or manufacturing sector or familiarity with time-series data.
• A strong understanding of data warehousing concepts, including Kimball model design.
• A deep understanding of data security and compliance requirements, particularly in cloud environments.

**A PLUS if you provide the link to your GitHub Website