AI Jobs

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience

Experience Requirements:

• 7+ years in enterprise/B2B Sales Engineering, Solutions Architecture, or Technical Consulting, with at least 2 years in a leadership, principal or founding capacity

• Experience leading consultative solution cycles (e.g., custom integrations, professional services, or enterprise prototypes). Experience translating unstructured customer goals into working demos and technical success criteria

• Demonstrated experience leading strategic POCs, RFPs, or enterprise onboarding

• Deep understanding of AI/ML systems and integration patterns. Proficiency in Python, interacting with APIs, and agent orchestration

• Ability to communicate compellingly in both technical deep-dives and executive-level storytelling situations

Other Requirements:

• Track record of building scalable demo systems, reusable solution assets, and pre-sales processes

Responsibilities:

• Lead technical pre-sales engagements

• Design and deliver lightweight, believable prototypes that prove Wand’s unique capabilities

• Own the “Proof-to-Contract” motion

• Act as a consultative discovery partner

• Build reusable demo systems and technical frameworks

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience

Experience Requirements:

• 7+ years in enterprise/B2B Sales Engineering, Solutions Architecture, or Technical Consulting, with at least 2 years in a leadership, principal or founding capacity

• Experience leading consultative solution cycles (e.g., custom integrations, professional services, or enterprise prototypes). Experience translating unstructured customer goals into working demos and technical success criteria

• Demonstrated experience leading strategic POCs, RFPs, or enterprise onboarding

• Deep understanding of AI/ML systems and integration patterns. Proficiency in Python, interacting with APIs, and agent orchestration

• Ability to communicate compellingly in both technical deep-dives and executive-level storytelling situations

Other Requirements:

• Track record of building scalable demo systems, reusable solution assets, and pre-sales processes

Responsibilities:

• Lead technical pre-sales engagements

• Design and deliver lightweight, believable prototypes that prove Wand’s unique capabilities

• Own the “Proof-to-Contract” motion

• Act as a consultative discovery partner

• Build reusable demo systems and technical frameworks

Education Requirements:

• Bachelor’s degree, major in mechatronics, electronics, electrical, process design

Experience Requirements:

• At least 2 years working experience in PACK assembly or lithium battery industry

Other Requirements:

• Good at analyzing and solving problems, have good communication and coordination skills

• Familiar with IATF1649 quality management system

• Proficient in Office, AUTOCAD and other software

• Have a certain ability to work under pressure, have a strong sense of team spirit and cooperation

Responsibilities:

• Responsible for process support, process verification and optimization and promotion of process problems in the design and development phase of PACK project

• Responsible for preparing product process documents (PFMEA, process flow chart, control plan, WI, etc.), proficient in PACK production process and key process control points

• Provided technical support for production, formulated standard operation instructions for each process, and solved technical problems in the production process

• In-depth technical exchanges on the production site, providing guidance for key parts and processes

Experience Requirements:

• Experience in the textile industry

• Experience collaborating with distributors or third-party entities

Benefits:

• cash bonus

• equity rewards

• benefits

Experience Requirements:

• 10+ years of experience in sales development, business development, or new business sales roles, with 5+ years in leadership positions managing managers and teams

• Proven success building and scaling sales/BDR teams within a fast-growth, scrappy, or startup-like environment, especially around new market segments

• Deep understanding of mid-market sales dynamics and long-cycle consultative selling

• Exceptional leadership skills with a proven track record of inspiring and motivating teams to deliver results

• Experience coaching leaders to cultivate talent and scale organizations effectively

Other Requirements:

• Executive presence with the ability to influence and communicate effectively across all levels of the organization

• Demonstrated ability to define and execute innovative strategies that drive pipeline growth in alignment with business priorities

• Hypothesis-driven and analytical thinker with a data-informed approach to optimizing processes and decision-making

• Strong cross-functional experience working with Marketing, Sales, and Revenue Operations to drive shared initiatives

• Ability to build trusted relationships across teams and functions, empowering alignment and shared accountability

• Expertise with CRM tools (e.g., Salesforce), sales enablement platforms, and analytics frameworks for data-driven decision-making

• Familiarity with modern outbound techniques (e.g., sequencing tools, LinkedIn Sales Navigator, etc.)

• Entrepreneurial mindset and willingness to roll up your sleeves to build from the ground up

• Customer-obsessed with an unwavering commitment to delivering value

• Occasional travel for team offsites, leadership meetings, and customer-facing opportunities

Responsibilities:

• Build a world-class Sales Development organization by coaching and motivating leaders to drive performance, accountability, and continual improvement

• Lead BDR Managers and their respective teams of BDRs to deliver on business objectives

• Foster a culture of collaboration, innovation, and excellence, attracting and retaining top talent

• Define and execute the vision, strategy, and roadmap for sales development, aligned to the growth objectives of our mid-market new business sales team

• Partner with Marketing, Sales, and other cross-functional teams to create and refine demand generation strategies and lead qualification processes

Benefits:

• Opportunity to co-create meaningful technology and products that improve people's lives

• Culture of ownership, openness and trust

• Working with professionals in a small dream team

• Private healthcare

• Work equipment and tools of your choice

Education Requirements:

• MSc / PhD in Computer Science, Mathematics, Biomedical Engineering or similar

Experience Requirements:

• 3+ years of experience with data analysis and neural networks

Other Requirements:

• Strong knowledge of SOTA machine learning trends, new architectures and signal processing methods

• Experience with biosignal analysis (ECG, EEG, PPG or similar)

• Proficiency in Python and scientific libraries (Scikit-learn, Scipy, Numpy, Pandas and MatplotLib)

• Experience with PyTorch/Tensorflow

• Interest in human physiology, medicine, and wellness

• Previous c++ experience

• Knowledge of Computer Vision domain

• Data mining experience

Responsibilities:

• Develop deep learning models for biosignal analysis

• Conduct research on deep learning architectures for biomedical signals

• Provide feedback to data collection teams regarding experimental setups and procedures

• Perform exploratory data analysis, create visualizations and share data-informed insights with the team

• Process, clean, and prepare biosignal data

Benefits:

• Meaningful (double digit!) equity stake

• Competitive compensation

• Sweet offsites

• Company-provided health insurance

• Mobile-phone reimbursement

Experience Requirements:

• At least 3 years of experience as a software engineer

• Fluent in computer science fundamentals and architecture design patterns

• Familiarity with React and Python

• Familiarity with JVM languages - Java, Scala, scripting languages - Node.js, Typescript

• Experience implementing and working with message queue systems (Redis, Kafka, MQTT)

Other Requirements:

• Some expectation of on-call platform support

• Bonus points if you've been a founder or built 0 to 1 before

• SF / Bay Area based candidates only, 3 days/week in SF

Responsibilities:

• Help implement and bring to market core features on Zing Data’s platform for GenAI business intelligence

• Work on interesting features on our query intelligence, distribution engine that help our users get near instant response times

• Work with the latest GenAI models like OpenAI, Google Gemini, Meta's LLAMA, Deepseek and Anthropic to build amazing user experiences

• Work on how AI models enable powerful automated workflows

• Own technical execution across a team of three engineers

Education Requirements:

• CA qualification

Experience Requirements:

• 2 - 4 years of professional experience

• Experience working at a top-tier startup - SaaS experience would be a bonus

Other Requirements:

• Strong knowledge of US GAAP and Indian Accounting Standards

• Willingness to get your hands dirty

• Ability to work in a fast-paced and ambiguous environment

• Effective communication and interpersonal skills

Responsibilities:

• Ensure timely month-end closure of Books of Accounts

• Oversee all aspects of accounting, including financial reporting, accounts payable and receivable, and general ledger

• Drive budgeting and forecasting process, monitor, and analyze financial performance against goals, and provide recommendations for improvement

• Provide financial insights to help management in decision making

• Manage treasury, cash flow, and working capital

Benefits:

• Innovative Culture

• Growth Opportunities

• Flexible Work Arrangements

Experience Requirements:

• 4–6 years of full-cycle recruiting experience in SaaS, product, other high-growth tech environments, or with reputable recruitment agencies

• Proven track record hiring across Engineering, Deep Learning, GTM, and Business functions.

Other Requirements:

• Strong sourcing abilities with a knack for engaging passive candidates

• Excellent communication, stakeholder management, and negotiation skills

• Data-driven approach—comfortable analyzing recruiting performance and acting on insights

• Experience with Greenhouse ATS is a definite plus

• Familiarity with recruitment tools like LinkedIn Recruiter and AI-driven sourcing methods is an advantage

Responsibilities:

• Run the end-to-end hiring process across technical and non-technical roles, making sure every candidate has a smooth and positive experience

• Work closely with hiring managers and leadership to understand team needs and turn them into clear role requirements

• Build strong pipelines through creative sourcing and proactive outreach, not just waiting for inbound applicants

• Own recruiting operations—coordinate debriefs, manage offers and negotiations, and keep processes moving without bottlenecks

• Track key recruiting metrics (time-to-fill, offer acceptance, funnel conversion) and share insights that drive smarter decisions

Experience Requirements:

• 4–5 years of experience in demand generation, growth marketing, or performance marketing (B2B SaaS preferred)

• Proven track record of building and executing multi-channel demand generation campaigns (paid, organic, events, ABM, webinars, etc.)

• Strong experience with marketing automation tools (e.g., HubSpot, Marketo, Salesforce, or similar)

• Ability to generate and optimize a consistent pipeline of high-quality leads for sales

• Skilled at analyzing funnel performance, running A/B experiments, and scaling channels that deliver ROI

Other Requirements:

• Strong collaboration skills—able to work closely with sales, product, and content teams to align on pipeline goals

• Excellent communication skills, with the ability to clearly articulate campaign strategy, performance, and insights

Responsibilities:

• Own demand generation strategy and execution across paid, organic, events, webinars, direct mail, and more

• Build full-funnel programs—from landing pages and nurture flows to demo hand-offs—that drive conversion at every stage

• Launch rapid experiments to test new channels, offers, and segments and scale what works

• Collaborate with content and lifecycle marketing to ensure a cohesive buyer journey across every touchpoint

• Work closely with sales motion to align on ICP, lead quality, and follow-up strategy

Education Requirements:

• Bachelor’s degree from reputable college

Experience Requirements:

• 1–4 years of experience in Growth, Business Analysis, Consulting, Startups, or Marketing firms.

Other Requirements:

• Comfortable to work with AI tools for content creation, analysis, and experimentation

• Strong problem-solving and analytical skills with a bias for fast execution

• Strong interpersonal skills to build rapport, influence stakeholders, and manage relationships

• Demonstrated excellence outside academics (sports, arts, publications, leadership roles) with at least one standout achievement is a plus

Responsibilities:

• Identify and categorize content types (written, video, audio, visual) aligned with business objectives

• Collaborate with Sales and Product teams to define relevant, high-impact content themes

• Create clear, engaging, and channel-appropriate content

• Manage end-to-end publishing to ensure timely and optimized distribution

• Design and execute rapid marketing experiments across content formats

Experience Requirements:

• 3+ years of sales experience in healthcare technology (startup experience preferred)

• Proven track record of building and closing pipelines in a fast-paced environment

• Experience running full-cycle deals: prospecting → discovery → demo → contract → implementation.

Other Requirements:

• Excellent communication and relationship-building skills

• Ability to operate in ambiguity, create structure, and scale processes in a new business unit

• Worked in Revenue cycle companies or Healthtech

• Experience selling automation, or AI solutions

• Knowledge of workflow-based pricing and/or token-based sales models

Responsibilities:

• Prospect and build a qualified pipeline of healthcare providers (outpatient/post-acute care, mental health, ambulatory care etc.)

• Run discovery calls to deeply understand customer goals and qualify opportunities

• Coordinate with Sales Engineering to plan and deliver tailored demos

• Drive proof-of-concept (POC) contracts with customers and ensure smooth handoff to Implementation

• Partner closely with the Implementation team to ensure POC success and conversion into long-term recurring contracts

Experience Requirements:

• 2+ years of quota-carrying SaaS sales experience (AE or AM with close responsibility). Startup experience a plus.

• Demonstrated full-cycle proficiency: prospecting, discovery, value selling, negotiation, and closing.

• Track record of hitting/exceeding quota with expansion or net-new ACVs; comfortable opening doors and growing footprint.

Other Requirements:

• Executive presence with the ability to multi-thread at the C-level and quantify business impact

• Strong communication, relationship-building, and negotiation skills

• Comfortable working in a fast-paced, startup environment with evolving processes

• Familiarity with workflow automation, AI, or data-heavy enterprise solutions

• Experience managing complex renewal/expansion motions across departments

Responsibilities:

• Carry and beat a closing quota across a named account list; drive expansions, cross-sell, and multi-year renewals.

• Run full-cycle sales: build pipeline (outbound + partner/marketing), multi-thread, deliver tailored demos, handle evaluations, negotiate, and close.

• Negotiate renewals with a focus on multi-year, higher-value commitments.

• Provide feedback to Product and Leadership teams on enterprise customer needs.

• Track expansion ARR, renewal values, and overall account growth metrics.

Experience Requirements:

• How many years of hands-on experience do you have with Python scripting?

• Have worked with API integrations?

Other Requirements:

• interested in AI/ML space

• good with communication

• enjoy tasks with quick wins and love solving a diverse set of problems

• understand Nanonets’ product really well

• understand customer requirements/goals

• build machine learning models on the Nanonets platform to demo capabilities to customers on their own data

Responsibilities:

• Accompanying salespeople on client calls to answer technical questions, understand their current processes and goals with Nanonets, and suggest improvements.

• Building solutions/demos based on their requirements using Nanonets product

• Write code to solve user requirements that the product doesn’t support completely

• Solving challenges potential customers might be facing with the product

• Researching about customers current tools/stack and building technical architecture for end solution we are proposing that will solve their problem

Experience Requirements:

• 5+ years of experience working across Saas, AI, Automation, Consulting, VC, IB along with some sales exposure

• Proven ability to manage complex, multi-stakeholder enterprise deals.

Other Requirements:

• Consulting, Founder, Investing, Analytical background (e.g., strategy consulting, VC/IB, business consulting, pre-sales, or equivalent structured problem-solving roles)

• Comfortable navigating long sales cycles

• Exceptional communication, presentation, and executive relationship-building skills

• Strong outbound prospecting and pipeline-building capability

• Experience with workflow-based pricing or selling tokens

• High-level understanding of LLMs, RAG, and model fine-tuning

• Prior experience transitioning from consulting/strategy into enterprise SaaS sales

Responsibilities:

• Own the full sales cycle for enterprise accounts in the US — from prospecting to negotiation and closing.

• Engage with C-level executives and senior stakeholders to understand business challenges and design tailored solutions.

• Apply structured, analytical problem-solving skills to craft compelling value propositions and ROI-driven business cases.

• Build and manage strong, trust-based relationships across enterprise accounts.

• Drive pipeline generation through outbound prospecting, events, and networks, in addition to managing inbound leads.

Experience Requirements:

• 1–3 years of experience in Machine Learning / AI Engineering/ Deep Learning

• 1-3 years of experience with the latest semi-supervised, unsupervised and few shot architectures in Deep Learning methods in NLP/CV domain.

• Have previously shipped something of significance, either implemented some paper or made significant changes in an existing architecture etc.

Other Requirements:

• Strong Machine Learning concepts

• Strong command in low-level operations involved in building architectures like Transformers, Efficientnet, ViT, Faster-rcnn, etc., and experience in implementing those in pytorch/jax/tensorflow

• Strong command in probability and statistics

• Strong programming skills in Python and familiarity with PyTorch or TensorFlow.

• Experience with data preprocessing, training, and evaluation for vision or NLP tasks.

• Experience working with LLMs or multimodal models (Hugging Face transformers, Nanonets-OCR-S, Qwen-VL, LLaMa).

• Knowledge of REST APIs, Docker, Git, Kubernetes and basic cloud deployment (AWS/GCP/Azure).

• Good understanding of ML fundamentals (supervised learning, evaluation metrics, error analysis)

• Basic understanding of agentic AI workflows (document reasoning, confidence scoring, grounding).

• Strong problem-solving and analytical skills

Responsibilities:

• Understand specific customer requirements, develop and apply SOTA GenAI solutions to their workflows

• Develop and fine-tune OCR and Vision Language Models (text detection, recognition, entity extraction, layout understanding).

• Build and maintain data pipelines for documents, including cleaning, augmentation, and annotation.

• Implement and evaluate document parsing solutions for invoices, receipts, IDs, contracts, forms, etc.

• Work with LLMs/VLMs to enhance document understanding and enable intelligent reasoning over documents.

Education Requirements:

• B.E./B.Tech from top-tier engineering colleges

Experience Requirements:

• 3+ years of hands-on deep learning experience with production deployments

• Proven track record of taking models from research to production

Other Requirements:

• Strong PyTorch expertise – ability to implement custom architectures, loss functions, and training loops from scratch

• Experience with distributed training and large-scale model optimization

• Solid understanding of transformer architectures, attention mechanisms, and modern training techniques

• Experience with model serving frameworks (TorchServe, Triton, Ray Serve, vLLM)

• Knowledge of efficient inference techniques (ONNX, TensorRT, quantization)

• Contributions to open-source ML projects

Responsibilities:

• Train & Fine-tune SOTA Architectures: Adapt and optimize transformer-based models, vision-language models, and custom architectures for document understanding at scale

• Production ML Infrastructure: Design high-performance serving systems handling millions of requests daily using frameworks like TorchServe, Triton Inference Server, and vLLM

• Agentic AI Systems: Build reasoning-capable OCR that goes beyond extraction – models that understand context, chain operations, and provide confidence-grounded outputs

• Optimization at Scale: Implement quantization, distillation, and hardware acceleration techniques to achieve fast inference while maintaining accuracy

• Multi-modal Innovation: Tackle alignment challenges between vision and language models, reduce hallucinations, and improve cross-modal understanding using techniques like RLHF and PEFT

Benefits:

• Offers Equity

Other Requirements:

• Based in the Bay Area or willing to re-locate

Benefits:

• Offers Equity

• medical

• 401(k)

Other Requirements:

• Are you authorized to work in the location(s) you selected in your previous response?

• Will you require Centari to sponsor you for a work permit now or in the future for the location(s) you selected in in your previous response?

• Are you willing to travel 1 week per quarter within the United States for onsite meetings?

• What is your experience with AI coding tools?

Benefits:

• Stock Options

• Comprehensive healthcare package

• Fertility and family building benefits

• Generous paid time off

• Company paid parental leave

Experience Requirements:

• 4+ years of experience in a pricing role, preferably within a B2B SaaS environment OR general management experience in areas such as management consulting, investment banking/private equity or BizOps

• Strong understanding of SaaS business models, metrics (ARR, LTV, CAC, etc.), and go-to-market strategies

Other Requirements:

• Exceptional analytical and quantitative skills with a strong command of financial modeling

• Proficiency with data analysis tools (e.g., Excel / Google Sheets, BI platforms like Tableau)

• Excellent communication and presentation skills, with the ability to articulate complex concepts to both technical and non-technical audiences

• Strong project management skills and the ability to manage multiple initiatives simultaneously

• Strategic and critical thinker with a proactive, results-oriented approach

Responsibilities:

• Support developing and executing the company's overall pricing and packaging strategy for all products and services

• Conduct comprehensive market analysis, including competitor pricing, market trends, and industry benchmarks

• Perform detailed quantitative analysis to model the impact of pricing changes, including price elasticity, customer lifetime value (LTV), and total addressable market (TAM)

• Lead qualitative and quantitative research initiatives (e.g., conjoint analysis, value surveys, customer interviews) to understand customer willingness to pay and perceived value

• Define and refine product packages, tiers, and add-ons to meet the needs of different customer segments