As an Enterprise Sales Manager at DecisionX, you will play a pivotal role in shaping the sales strategy and driving revenue growth for our pioneering Decision AI platform. You will work closely with the founder to identify ideal customers, refine positioning, and close strategic early-stage deals that lay the groundwork for future success. Your primary responsibility will be to own the full sales cycle, from initial discovery and product demos to negotiation and deal closure. You will collaborate with the founder to refine the Ideal Customer Profile (ICP), positioning, and pricing strategy, ensuring alignment with the company's goals and objectives. Additionally, you will be tasked with qualifying and converting inbound leads, as well as scaling outbound efforts in collaboration with Business Development Representatives. To excel in this role, you should possess 3-6 years of experience in B2B SaaS sales, with at least 2 years in full-cycle closing roles. You must have a proven track record of selling to senior decision-makers in the Enterprise space, particularly in North America and the EU region. Strong demo and discovery skills are essential, along with a consultative approach and a passion for AI technology. While prior experience in selling GTM, data, or AI platforms is a plus, it is not mandatory. What truly sets you apart is your ability to navigate complex buying groups, build strong relationships with key stakeholders, and contribute valuable market insights to shape product and GTM strategies. In return, you will have the opportunity to work with a highly driven founding team, build a cutting-edge product, and play a key role in shaping the sales organization's future. You will receive a competitive salary, founder-level equity, and full ownership of your sales pipeline. This role offers uncapped learning potential, rapid career growth, and a chance to influence the company's sales processes, tools, and culture. To apply for this exciting opportunity, please send a compelling cold email pitching DecisionX to a VP of Sales at careers@decisionx.ai. Join us in revolutionizing decision-making with AI technology and be part of a dynamic team that is shaping the future of high-growth businesses.,
HR Executive – Generalist Role Location: Bangalore Experience: 2–5 Years Function: Human Resources Type: Full-Time Reporting To: Founder / COO About Us At DecisionX, we are pioneering a new category: World's first Decision AI — an AI Super-Agent that helps CXOs and Leadership at high-growth teams make smarter, faster decisions by turning fragmented data into clear next steps. From bold bets in the boardroom to cross-functional decisions across Sales, Marketing, Product, and Engineering — down to the micro-decisions that power daily execution — Decision AI becomes your invisible co-pilot: thinking with you, acting ahead of you, and evolving beyond you. About the Role As our HR Executive , you will play a pivotal role in building and nurturing our team. This is a generalist role that spans recruitment, HR operations, policy, employee engagement , and people success . You’ll work closely with leadership to create a seamless employee experience in a fast-paced, high-ownership environment. Our current focus area is to build a Founding Team and set foundational tone to company culture. Key Responsibilities 1. Talent Acquisition & Onboarding Manage end-to-end recruitment for technical and business roles Coordinate with hiring managers, source candidates, and schedule interviews Drive smooth onboarding processes to ensure a world-class Day 1 experience 2. HR Operations Maintain HR records, offer letters, contracts, and compliance documentation Manage payroll inputs, attendance, and leaves in coordination with finance Ensure adherence to company policies and labor laws 3. Employee Engagement & Culture Plan and execute engagement initiatives and feedback loops Be the first point of contact for employee queries, feedback, and support Help foster a culture of trust, ownership, and performance 4. Generalist & Strategic Support Assist in implementing HR tech systems (e.g., HRMS, ATS) Support performance review cycles, policy drafting, and exit formalities Work with founders on scaling org structure and culture in early growth stage What We’re Looking For 2–5 years of experience in a generalist HR role , preferably in a startup or tech company MBA from a reputed B School. Hands-on experience with recruitment, HR operations, and employee lifecycle Strong interpersonal skills, high ownership, and process orientation Comfort working in a fast-moving, high-context environment Bonus: Experience setting up HR systems or building from scratch Why Join Us? Be part of a founding team shaping the people function from the ground up High ownership and autonomy to experiment and lead Exposure to cutting-edge AI domain and startup culture A culture of speed, clarity, and deep respect for people To Apply Send your resume and a brief note on why you're excited to join an early-stage startup to careers@decisionx.ai
DecisionX is pioneering a new category with the world's first Decision AI, an AI Super-Agent that assists high-growth teams in making smarter, faster decisions by transforming fragmented data into clear next steps. Whether it involves strategic decisions in the boardroom or operational decisions across various departments like Sales, Marketing, Product, and Engineering, down to the minutiae that drives daily operations, Decision AI serves as your invisible co-pilot, thinking alongside you, acting ahead of you, and evolving beyond you. We are seeking a dedicated and hands-on AI Engineer to join our Founding team. In this role, you will collaborate closely with leading AI experts to develop the intelligence layer of our exclusive "Agentic Number System." Key Responsibilities - Building, fine-tuning, and deploying AI/ML models for tasks such as segmentation, scoring, recommendation, and orchestration. - Developing and optimizing agent workflows using LLMs (OpenAI, Claude, Mistral, etc.) for contextual reasoning and task execution. - Creating vector-based memory systems utilizing tools like FAISS, Chroma, or Weaviate. - Working with APIs and connectors to incorporate third-party data sources (e.g., Salesforce, HubSpot, GSuite, Snowflake). - Designing pipelines that transform structured and unstructured signals into actionable insights. - Collaborating with GTM and product teams to define practical AI agent use cases. - Staying informed about the latest developments in LLMs, retrieval-augmented generation (RAG), and agent orchestration frameworks (e.g., CrewAI, AutoGen, LangGraph). Must Have Skills - 5-8 years of experience in AI/ML engineering or applied data science. - Proficient programming skills in Python, with expertise in LangChain, Pandas, NumPy, and Scikit-learn. - Experience with LLMs (OpenAI, Anthropic, etc.), prompt engineering, and RAG pipelines. - Familiarity with vector stores, embeddings, and semantic search. - Expertise in data wrangling, feature engineering, and model deployment. - Knowledge of MLOps tools such as MLflow, Weights & Biases, or equivalent. What you will get - Opportunity to shape the AI architecture of a high-ambition startup. - Close collaboration with a visionary founder and experienced product team. - Ownership, autonomy, and the thrill of building something from 0 to 1. - Early team equity and a fast growth trajectory.,