Hashone Career

Job Title: Senior Product Manager (0–1 Products)

Location: Bangalore

Experience Required:

7+ years in Product Management (with 0–1 product experience preferred)

About the Role

We are looking for a highly driven Senior Product Manager who has hands-on experience building products from 0 to 1—taking ideas from concept to launch and scaling them. The ideal candidate combines strong product thinking with a technical background (programming experience) to work closely with engineering, design, and business teams.

Key Responsibilities

• Lead end-to-end product lifecycle: ideation, validation, development, launch, and iteration
• Define product vision, strategy, and roadmap aligned with business goals
• Drive 0–1 product development, including identifying opportunities and building MVPs
• Work closely with engineering teams; leverage programming knowledge to influence architecture and technical decisions
• Conduct market research, user interviews, and competitor analysis
• Translate business requirements into clear product specifications and user stories
• Own product metrics, KPIs, and performance tracking
• Collaborate cross-functionally with design, marketing, sales, and stakeholders
• Prioritize features using data-driven decision-making frameworks
• Continuously iterate based on user feedback and analytics

Required Skills & Qualifications

• 7+ years of experience in Product Management
• Proven track record of building and launching 0–1 products
• Strong understanding of product lifecycle and agile methodologies
• Hands-on experience with at least one programming language (e.g., Python, Java, JavaScript)
• Ability to communicate effectively with engineering teams on technical topics
• Strong analytical and problem-solving skills
• Experience with product tools (e.g., Jira, Confluence, Mixpanel, Google Analytics)
• Excellent stakeholder management and communication skills

Preferred Qualifications

• Experience in startups or fast-paced environments
• Background in Computer Science or Engineering
• Experience with APIs, system design, or data-driven products
• Familiarity with UX/UI principles

Key Competencies

• Product thinking & customer obsession
• Technical acumen
• Strategic mindset
• Execution excellence
• Data-driven decision making
• Leadership & collaboration 

Summary:

Data Engineer/Analytics Engineer with experience in semantic layer modeling using AtScale, building scalable data pipelines, and delivering high-performance analytics solutions on cloud platforms.

⸻

 Responsibilities

• Build and maintain ETL/ELT pipelines for large-scale data

• Develop semantic models, cubes, and metrics in AtScale

• Optimize query performance and BI dashboards

• Integrate data platforms (Snowflake, Databricks, BigQuery)

• Collaborate with analysts and business teams

⸻

 Skills

• SQL, Python/Scala

• Data modeling (star schema, OLAP)

• AtScale (semantic layer)

• Spark, dbt, Airflow

• BI tools (Tableau, Power BI, Looker)

• AWS / GCP / Azure

⸻

 Experience

• 3–8+ years in data/analytics engineering

• Experience with enterprise data platforms and BI systems

Media Ad Sales Manager

Ad Tech Industry

2–4 Years Experience

Digital Advertising

Revenue-Driven Role

About the role

We are looking for a dynamic and results-driven Media Ad Sales Manager to join our growing Ad Tech team. In this role, you will drive revenue by selling digital advertising solutions to brands, agencies, and media buyers. You will be responsible for building and maintaining strong client relationships, understanding client goals, and delivering tailored advertising packages that leverage our platform's capabilities.

Key responsibilities

• Prospect, pitch, and close new digital ad sales deals with brands and agencies
• Manage a pipeline of clients across programmatic, display, video, and native ad formats
• Develop customised media plans and ad solutions aligned to client KPIs
• Collaborate with ad operations and account management teams for campaign delivery
• Negotiate contracts, CPMs, and insertion orders
• Meet and exceed monthly and quarterly revenue targets
• Attend industry events, conferences, and client meetings
• Maintain CRM data accuracy and provide regular sales forecasting

Requirements

• 2–4 years of experience in media sales, digital advertising, or Ad Tech
• Proven track record of meeting or exceeding sales quotas
• Solid understanding of programmatic advertising, DSPs, SSPs, and DMPs
• Familiarity with ad formats: display, video, native, CTV, and mobile
• Experience with CRM tools (Salesforce, HubSpot) and media planning software
• Strong understanding of CPM, CPC, CPA, and ROAS metrics
• Excellent communication, negotiation, and presentation skills
• Ability to work independently and in a fast-paced, target-driven environment
• Bachelor's degree in Marketing, Business, Communications, or related field

Nice to have

• Experience with ad platforms such as Google Ad Manager, The Trade Desk, Amazon DSP, or similar
• Knowledge of audience segmentation, data targeting, and attribution models
• Prior exposure to publisher-side or agency-side sales
• Understanding of GDPR, CCPA, and data privacy compliance in advertising

Job Description – AI Tech Lead

Location: Bangaluru

Experience: 10+ Years

Function: AI Center of Excellence (CoE)

Reporting To: Senior Vice President – CX / Head of AI CoE

We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.

The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.

2. Key Responsibilities

A. Solution Architecture & Strategy

• Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
• Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
• Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
• Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.

B. Project Delivery & Execution Leadership

• Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
• Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
• Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
• Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.

C. Technical Hands-on Expertise

• Architect and build complex AI systems involving:
• Large Language Models (LLMs) & GenAI apps
• Agentic workflows and autonomous task orchestration
• Predictive modeling, forecasting, optimization, and statistical modeling
• Knowledge graphs, vector databases, embeddings
• Data engineering pipelines (ETL/ELT) and cloud-native architectures
• Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.

D. Team Leadership & Mentoring

• Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
• Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
• Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.

E. Stakeholder & Client Management

• Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
• Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
• Support pre-sales with solutioning, effort estimation, and technical presentations.

3. A. Technical Skills

• Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
• Hands-on experience building applications using:
• LLMs, RAG, fine‑tuning, prompt engineering
• Autonomous AI agents & multi-agent systems
• Predictive ML models (Regression, Classification, Clustering, NLP, CV)
• Expertise in microservices architecture, API design, scalable deployments.
• Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
• Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.

B. Functional & Domain Skills

• Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
• Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.

C. Leadership & Soft Skills

• Strong team leadership and mentoring experience.
• Excellent communication, client-facing abilities, and stakeholder management skills.
• Strong decision-making, problem-solving, and delivery ownership.

4. Qualifications

• Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
• 10–15 years total experience with at least 5+ years leading AI/ML projects.
• Demonstrated success delivering large-scale AI programs in enterprise environments.
• Certifications in AI/ML, cloud, or architecture (preferred).

About the Role

We are looking for a Customer Success Manager who will be responsible for managing client relationships, ensuring successful onboarding, and driving long-term customer engagement. The role requires strong stakeholder management skills and the ability to drive product adoption and customer satisfaction.

 Key Responsibilities

• Manage the end-to-end customer lifecycle, including onboarding, engagement, retention, and renewals
• Conduct product onboarding sessions, demos, and training for new customers
• Build and maintain strong relationships with clients, acting as the primary point of contact
• Understand customer goals and ensure the product delivers measurable value
• Monitor customer health metrics, usage patterns, and engagement levels
• Proactively identify risks and take action to prevent churn
• Drive renewals and upsell opportunities in collaboration with Sales teams
• Coordinate with Product, Engineering, and Support teams to resolve customer issues
• Conduct Quarterly Business Reviews (QBRs) and share performance insights
• Collect customer feedback and provide inputs for product improvement
• 
  

Required Skills & Qualifications

• 4–7 years of experience in Customer Success / Account Management / Client Success
• Experience working in SaaS, Martech, or Product-based companies
• Strong communication and relationship management skills
• Experience handling B2B clients
• Proven ability to manage multiple customer accounts simultaneously
• Strong problem-solving and analytical skills
• Ability to explain technical concepts to non-technical users
• Experience in managing client expectations and resolving escalations

🚀 About the Role

We are looking for a highly driven Accounts Payable professional to manage end-to-end payables operations in a fast-paced startup environment. This role is ideal for someone with experience in high-volume transactions, vendor management, and multi-entity accounting, preferably within SaaS, marketplace, or tech-driven companies.

🎯 Key Responsibilities

• Manage end-to-end Accounts Payable (AP) operations including invoice processing, validations, and payments
• Handle high-volume transactions across vendors, partners, and stakeholders
• Ensure timely and accurate vendor payouts and reconciliations
• Perform GL reconciliations, accruals, and month-end closing activities
• Drive process improvements and automation in AP workflows
• Coordinate with cross-functional teams (Finance, Operations, Procurement)
• Ensure compliance with GST, TDS, and regulatory requirements
• Support audits and maintain proper documentation
• Monitor and manage aging reports and working capital efficiency

🧠 What We’re Looking For

• 5–8 years of experience in Accounts Payable / Finance Operations
• Prior experience in startup / SaaS / marketplace companies (mandatory)
• Strong exposure to high-volume AP transactions
• Hands-on with tools like QuickBooks, Zoho Books, SAP, Oracle, or similar ERP systems
• Strong understanding of Indian accounting standards, GST, and taxation
• Experience with cross-border transactions is a plus
• Advanced proficiency in Excel

🌟 Good to Have

• Exposure to US GAAP / IFRS
• Experience in creator economy / marketplace / ad-tech / martech startups
• Knowledge of automation tools / Power BI / data reporting

💼 Why Join Us?

• Work in a high-growth startup environment
• Exposure to complex, real-world finance operations
• Opportunity to build and optimize processes from scratch
• Fast career growth and ownership

📊 Ideal Candidate Profile

• Comes from companies similar to:
• Creator economy / influencer marketing platforms
• Marketplaces (two-sided platforms)
• SaaS startups with global exposure
• Has handled:
• Vendor + partner payouts
• Complex reconciliation scenarios
• Multi-entity or multi-country finance operations

⚠️ Not a Fit If

• Background is purely in manufacturing / traditional accounting firms
• Limited exposure to dynamic startup environments
• No experience handling high-volume or complex AP workflows

Hi ,

About Us

ConvoTrack.ai is a fast-growing, AI-native platform revolutionising how enterprises makedecisions. With ARIA, our AI agent ecosystem, we’re enabling insights, R&D, brand aninnovation teams to move from static reports to real-time, signal-led strategy.We work with some of the world’s most respected companies — from Unilever, Nestlé andReckitt, to high-growth startups — transforming how they listen, decode, and act on consumerbehaviour across social, video, comments, memes, and more.

The Role

Please note that we work with Global Clients and hence, this job will require taking calls in the late evening or early morning. We are also open to having someone to work Evening hours (6 pm to 3 am).

 What You’ll Do

• Own the complete sales cycle: prospecting, discovery, pitching, demos, closing, and account expansion
• Run strategy-led conversations — demos that feel like value workshops, not sales pitches
• Build relationships with CMOs, CMI leaders, Digital Heads, R&D leaders, and enterprise stakeholders
• Identify client pain points and co-create solutions with product, insights, and tech teams
• Close high-value enterprise SaaS deals
• Grow accounts post-sale — convert pilots into global enterprise deployments
• Maintain a clean, structured, high-quality CRM pipeline
• Continuously learn across industries, AI, tech, and business models
• Partner with marketing on GTM plays, events, outbound, and enterprise campaigns
• Represent the company in global events, client meetings, and enterprise engagements (based on ramp-up)

 Experience Bands (Hiring Across Levels)

• High-potential AEs / SDRs ready to scale into enterprise selling
• Experience in B2B SaaS / insights / analytics / enterprise sales
• Comfortable leading discovery, demos, and early-stage enterprise conversations
• Exposure to stakeholders across marketing, brand, digital, analytics, or R&D
• Experience owning deals from first call to closure

 Enterprise AE Profile:

• Experience selling enterprise SaaS / platforms / AI products
• Handling multi-stakeholder deals
• Long-cycle, high-value deal experience
• Strategic account planning and expansion mindset

 What We Offer

• A category-creating AI product
• Work with global Fortune 500 clients from Day 1
• A truly AI-native organisation — selling AI with AI
• High ownership, autonomy, and leadership exposure
• Strong growth path into Enterprise AE / Strategic Accounts / Sales Leadership
• Competitive compensation + performance-linked incentives

ROLE SUMMARY

The Senior Python Developer designs, builds, and improves Python and Django applications. The role includes developing end‑to‑end integrations using REST and SOAP services and delivering reliable, scalable solutions through hands‑on coding and data transformation work. The developer works closely with Business Analysts, architects, and other teams to ensure technical solutions support business needs. Key responsibilities also include improving SQL performance, taking part in code reviews, supporting DevOps workflows with Git and Azure DevOps, and helping integrate GenAI features—such as GPT models, embeddings, and agent‑based tools—into enterprise applications.

ROLE RESPONSIBILITIES

• Design and develop Python and Django applications that are scalable, secure, and maintainable.
• Implement UI components using CSS, Bootstrap, jQuery, or similar technologies as needed.
• Develop integrations with internal and external systems using REST, SOAP, and WSDL‑based services.
• Create and optimize SQL queries, database structures, and data access logic to support application features.
• Work with Business Analysts and stakeholders to translate functional requirements into technical specifications and solutions.
• Implement accurate data mappings and transformations in accordance with business and technical requirements.
• Contribute to code reviews, follow established coding standards, and ensure high‑quality deliverables.
• Support the implementation and maintenance of DevOps pipelines using Git and Azure DevOps.
• Contribute to the integration of GenAI capabilities—including GPT models, embeddings, and agent‑based components—into enterprise applications.
• Troubleshoot issues across the application stack and collaborate closely with peers to resolve technical challenges.

TECHNICAL QUALIFICATIONS

• 7+ years of hands‑on experience with Python and Django, including complex application development.
• 5+ years of experience with SQL development, optimization, and database design.
• At least 1-2 years of applied experience with GenAI technologies (GPT models, embeddings, agents, etc.).
• Deep expertise in application architecture, system integration, and service‑oriented design.
• Strong experience with DevOps tools and practices, including Git, Azure DevOps, CI/CD pipelines, and automated deployments.
• Advanced understanding of REST, SOAP, WSDL, and large‑scale service integrations.

GENERAL QUALIFICATIONS

• Exceptional verbal and written communication skills.
• Strong analytical, problem‑solving, and architectural reasoning abilities.
• Demonstrated leadership experience with the ability to guide and mentor technical teams.
• Proven ability to work effectively in fast‑paced, collaborative environments.

EDUCATION REQUIREMENTS

• Bachelor’s degree in Computer Science, MIS, or a related field.
• Advanced certifications in Python, cloud technologies, or GenAI are preferred but not required.

About Us

Wednesday is a technology consulting and engineering firm based in Pune. We specialise in helping digital-first businesses solve complex engineering problems. Our expertise lies in data engineering, applied AI, and app development. We offer our expertise through our services: Launch, Catalyse, Amplify, and Control.

We're a passionate bunch of people who take their work seriously. We deeply care about each other and are united by the cause of building teams that delivery great digital products & experiences.

Job Description

We are seeking Senior Software Engineers who can architect and ship fullstack digital products at a high bar — using AI-assisted development tools to move faster without cutting corners. This role spans platform, product, and go-to-market — you'll own backend systems, shape frontend experiences, make infrastructure decisions, and set a higher engineering standard for the team around you. The ideal candidate has designed systems they can defend, shipped products at scale, and knows what it takes to get there.

Requirements

Product & Client Ownership Be the day-to-day technical owner on engagements — understand the client's business deeply, shape the product roadmap, and translate ambiguous problems into clear engineering direction. Show up to demos and reviews with the confidence to defend tradeoffs and flag risks early.

Architecture & Judgment Make architectural decisions that hold up at scale. AI can generate code — your job is to decide what gets built, how it fits together, and when to push back. Evaluate tradeoffs, review TRDs, and set the technical direction the rest of the team executes against.

Fullstack Execution Ship backend services, APIs, database schemas, and user-facing features end-to-end. Use AI-assisted tools (Cursor, Claude Code, Antigravity) to move at the speed of a small team without cutting corners on quality.

Platform & Reliability Own cloud infrastructure, CI/CD, and production systems. Define how the team monitors, debugs, and responds to incidents. If something breaks at 2am, you've already thought about it.

AI & Automation Drive AI adoption in products — LLM APIs, RAG pipelines, agentic workflows. Push for automation across client and internal workflows. Know what these tools are good at and, more importantly, where they fail.

Raising the Bar Be the judgment layer for junior engineers who are moving fast with AI tools. Review code for what matters — not style, but correctness, scalability, and whether the author actually understood what they shipped. Run knowledge-sharing sessions. Onboard people well.

Must Haves

3–5 years of professional engineering experience with production systems you've owned end-to-end.

Active user of AI IDEs (Cursor, Claude Code, Antigravity, or similar).

Demonstrated system design ability — you've made architectural decisions and can evaluate trade-offs.

Good exposure to cloud platforms and deployments.

Familiarity with observability and monitoring tools — you can track down issues and identify bottlenecks.

Deep backend proficiency: API design, databases, microservices, distributed systems, event-driven architecture, and message brokers.

Worked with at least two of REST, GraphQL, or gRPC in production.

Eye for design — you care about the experiences you build for users.

High rate of learning — you figure things out fast.

Nice to Have

Cloud architecture experience (AWS, GCP, Azure) with containerisation and orchestration.

Familiarity with AI/ML: prompt engineering, embeddings, agent frameworks (LangChain, CrewAI, LangGraph).

Experience with automation and workflow tools (n8n, Make, Zapier).

Benefits

Mentorship: Work next to some of the best engineers and designers — and be one for others.

Freedom: An environment where you get to practice your craft. No micromanagement.

Comprehensive healthcare: Healthcare for you and your family.

Growth: A tailor-made program to help you achieve your career goals.

A voice that is heard: We don't claim to know the best way of doing things. We like to listen to ideas from our team.

Description:

Experience in backend development with a strong focus on Java, Microservices and Java Migration

Java Microservices Back end Developer, Angular UI experience

Java Sprint boot Microservices with expected knowledge and Basic knowledge of Database.

Hands-on experience on Spring boot, Webservices, Microservices, SOAP and REST

Drive analysis of business requirements, functional requirements, and technical specification documents to design

and develop technical solutions that meet business needs

Assess opportunities for application and process improvement and obtain broader buy-in across global stakeholders

Pro-actively share and report risks, issues, challenges, blockers and forthcoming tasks with the stakeholders and team. Strong JavaScript (ES6+), HTML5, and CSS3 fundamentals, Familiar with matrix operations or nested data structures (arrays, objects, maps), Strong debugging and optimization skills

Having knowledge of some framework for TDD

Good to have Graph QL knowledge