Analytics Manager

About Starbond

Starbond is a growing direct-to-consumer brand focused on delivering high-quality products and an excellent customer experience. We are looking for a hands-on Marketing Manager who can turn data, customer insights, and strong execution into profitable growth.

About the Role

The Marketing Manager will own Starbond’s direct-to-consumer growth engine across paid acquisition, retention, lifecycle marketing, content, SEO, answer engine optimization (AEO), social media, conversion optimization, and agency performance. This role requires a strong command of unit economics—including customer lifetime value (LTV), customer acquisition cost (CAC), CAC payback period, gross margin, and contribution margin—and the ability to convert these metrics into sound growth decisions.

You will directly manage marketing agencies across Meta, Google, email, and AEO while leading the internal Marketing team, setting clear performance standards, and giving the CEO timely visibility into results, risks, and recommended actions.

Key Responsibilities

DTC Growth and Customer Acquisition

• Develop and lead the DTC acquisition strategy across Meta Ads, Google Ads, Shopify, email, SEO, social media, Amazon alignment, and other relevant channels.
• Manage marketing for profitable growth—not revenue or ROAS alone—by incorporating product margin, contribution margin, retention, and customer quality into decisions.
• Establish acceptable CAC thresholds by product, customer segment, campaign, and channel, and recommend when to scale, restructure, reduce, or discontinue investment.
• Align advertising, creative, landing pages, offers, product positioning, inventory availability, and operational readiness.

LTV, Retention, and Lifecycle Marketing

• Maintain a clear and consistent LTV methodology using customer revenue, purchase frequency, retention, gross margin or contribution margin, and cohort data.
• Analyze LTV and retention by acquisition source, product, cohort, and customer segment, and use the findings to improve channel and offer decisions.
• Lead strategies that improve repeat purchase rate, purchase frequency, average order value, cross-sell, replenishment, retention, and win-back performance.
• Oversee email and lifecycle marketing quality, segmentation, deliverability, revenue contribution, and customer communication accuracy.

Paid Advertising and Conversion

• Oversee paid media strategy, budget pacing, campaign structure, audience strategy, creative testing, attribution, and landing-page performance.
• Establish clear testing, scaling, optimization, and stop-loss rules, and require decisions to be supported by sufficient data and financial context.
• Review performance at the channel, campaign, audience, creative, product, and cohort levels.
• Partner with the Web Developer on Shopify priorities, site performance, conversion rate optimization, tracking, and quality assurance.

Agency and Vendor Management

• Directly manage marketing agencies across Meta, Google, email, and AEO, including scopes of work, deliverables, timelines, communication standards, SLAs, KPIs, reporting, ownership, and escalation procedures.
• Use agency scorecards and recurring performance reviews to track KPI attainment, SLA compliance, output quality, timeliness, efficiency, and business results.
• Require root-cause analysis and time-bound corrective action plans for missed targets, SLA breaches, quality issues, reporting gaps, or inefficient spend.
• Independently validate agency recommendations and recommend contract expansion, renegotiation, reduction, replacement, or termination when appropriate.
• Ensure Starbond retains access to and ownership of advertising accounts, data, dashboards, creative files, documentation, and intellectual property.

Content, Creative, and Brand

• Maintain an active content and creative pipeline supported by clear briefs, owners, deadlines, QA standards, and success metrics.
• Ensure reliable content-production support is available when external resources are required.
• Create a structured process for testing creative concepts, hooks, formats, messages, offers, and calls to action.
• Protect product positioning and perceived value by avoiding excessive reliance on discounting and ensuring marketing claims are accurate and supportable.
• Ensure approved assets are properly named, organized, and stored in company-owned systems.

Team Leadership, Process, and Reporting

• Lead the internal Marketing team by setting clear responsibilities, deadlines, quality standards, KPIs, communication expectations, and individual performance targets.
• Conduct regular coaching, one-on-ones, performance reviews, and accountability conversations; identify skill gaps and coordinate development or corrective action with HR.
• Make timely recommendations regarding training, role clarity, workload changes, reassignment, or other performance actions when standards are not met.
• Create and maintain marketing processes, approval flows, reporting definitions, campaign documentation, and quality-control systems.
• Maintain a weekly marketing scorecard that distinguishes leading and lagging indicators and explains what changed, why it changed, and what action is required.
• Proactively escalate material risks and present concise, financially grounded recommendations to the CEO.

What Success Looks Like

• Marketing data, forecasts, campaign reports, creative briefs, and recommendations are accurate, validated, and financially grounded.
• Campaigns, agency deliverables, reports, corrective actions, and launches are completed on time, with blockers escalated early.CAC, LTV, LTV:CAC, MER, ROAS, contribution margin, retention, and cohort performance are consistently defined and used to guide decisions.
• Marketing investment produces profitable customer growth, stronger retention, faster learning, higher-quality execution, and stronger brand protection.
• The Marketing team and external agencies operate with clear ownership, measurable standards, and consistent accountability.

What We’re Looking For

• Proven experience leading DTC or e-commerce marketing across paid acquisition, retention, lifecycle marketing, content, and conversion optimization.
• Strong working knowledge of CAC, LTV, LTV:CAC, MER, ROAS, contribution margin, retention, cohort analysis, and marketing attribution.
• Experience managing Meta Ads, Google Ads, email marketing, SEO, AEO, Shopify, and agency partners.
• Demonstrated ability to manage budgets and make channel decisions based on profitability and customer quality.
• Experience leading and developing marketing team members, setting KPIs, and managing performance.
• Strong analytical judgment with the ability to challenge assumptions, validate agency recommendations, and translate data into clear actions.
• Excellent written and verbal communication, with a proactive and concise reporting style.
• Highly organized, accountable, and comfortable working in a remote, fast-moving environment.

Help new products find their first customers in the US, and teach our systems how you do it.

Daemon Ventures is a US technology company that builds and runs internet businesses with a very small team and heavy use of AI. We are looking for a growth lead who has personally taken products from zero to their first paying customers in the US market.

What you'll do

- Review how each new business goes to market: the plan, the actual ads, landing pages, emails and sign-up flow, and the numbers that come back. Say clearly what to change, and why.

- Diagnose. When a number is bad, work out whether the problem is the audience, the offer, the page or the channel, and what to try next.

- Turn what works into repeatable playbooks, so every future launch starts from what the last one learned.

- Bring in specialists (search, outbound, paid social, communities, marketplaces) when a problem needs deep craft, and judge their work.

Who you are

- Senior and hands-on. 6–10 years in growth or marketing, at least 3 of them personally acquiring US customers for a software product, an app or an online business. You ran the channels yourself, not only through agencies or a team.

- Taken a product from near zero to real US traction, with numbers you can show.

- A diagnostician. You can read a funnel and find the leak, and you think in experiments. You read results honestly, including when the answer is "this channel doesn't work for this product."

- A clear writer. You explain your reasoning so that others can act on it.

- Energized by working alongside AI. Most execution here is automated; your judgment is what makes it better.

Details

- Full-time and remote within India, engaged as an independent contractor.

- ₹45–55 LPA based on experience, plus equity.

- Process:

1. A short application with a 20-minute exercise.

2. A conversation.

3. A paid one-to-two-week project on a real business.

To apply: https://docs.google.com/forms/d/e/1FAIpQLSdB-KJIUnkbNbXWCdqJmTEFGbHglT5_2wqIcsVPN_QKaQTG1A/viewform

The application includes the exercise. Please don't send a CV alone.

We’re looking for a dynamic and driven Data Analyst to join our team of technology enthusiasts. This role is crucial in transforming data into insights that support strategic decision-making and innovation within the insurance technology (InsurTech) space. If you’re passionate about working with data, understanding systems, and delivering value through analytics, we’d love to hear from you.

What We’re Looking For

• Proven experience working as a Data Analyst or in a similar analytical role
• 5+ Years of experience in the field
• Strong command of SQL for querying and manipulating relational databases
• Experience with Power BI for building impactful dashboards and reports
• Familiarity with QlikView and Qlik Sense is a plus
• Ability to communicate findings clearly to technical and non-technical stakeholders
• Knowledge of Python or R for data manipulation is nice to have
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field
• Understanding of the insurance industry or InsurTech is a strong advantage

What You’ll Be Doing:

• Delivering timely and insightful reports to support strategic decision-making
• Working extensively with Policy Administration System (PAS) data to uncover patterns and trends
• Ensuring data accuracy and consistency across reports and systems
• Collaborating with clients, underwriters, and brokers to translate business needs into data solutions
• Organizing and structuring datasets, contributing to data engineering workflows and pipelines
• Producing analytics to support business development and market strategy

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bringing their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

  We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

  We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

  We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

  We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

Our Core Value

• Client Success: Our clients’ success is our success
• Extreme Ownership: We own our work and its outcomes fully
• Proactive Collaboration: Teamwork elevates us all 
• Quality with Pragmatism: We aim for excellence with a focus on practical solutions
• Effective Feedback: Honest, constructive feedback fosters improvement
• Proactive Collaboration: Teamwork elevates us all

Experience Level

​We're looking for a seasoned Product Manager with at least 4 years of experience building user-centric products. You should be a "product craftsperson" who can demonstrate a history of driving tangible, impactful results

Role Overview 

As a Product Manager, you will be responsible for the entire product lifecycle, from initial concept to launch and beyond. You'll act as the central hub, working with stakeholders and clients to define product roadmaps and success metrics.

A key part of your role will be to deeply understand customer and business needs and translate them into clear, actionable requirements for the development team. You will own the product backlog, analyze performance data to identify opportunities, and partner closely with design and engineering to ensure successful execution

Key Responsibilities

• Product Strategy & Execution: You will define and document product requirements, create and maintain a prioritized backlog, and ensure business needs are met throughout the design, development, and delivery phases.
• Data-Driven Decision Making: You will use your strong analytical and problem-solving skills to gather, analyze, and interpret data to prove or disprove hypotheses and guide product evolution. Expertise in Excel and SQL is essential for this.
• Stakeholder & Client Management: You will communicate with internal and external teams, including clients, to manage expectations, present product status, and gather feedback. Strong consultative, listening, and presentation skills are crucial.
• Cross-Functional Collaboration: You will coordinate with various teams—including design, engineering, sales, and support—to build, manage, and evolve the product. A solid understanding of software engineering concepts will help you drive product strategy effectively

Requirements

What We're Looking For

• Product Mindset: You'll be a central figure, coordinating with various teams to build and support the product
• Agile Experience: You must have experience working within Agile and Extreme Programming methodologies in a continuous deployment environment
• Technical Acumen: You should have a solid understanding of software engineering concepts to help drive product strategy
• Exceptional Communication: You should have strong consultative, listening, and presentation skills to effectively communicate with clients and stakeholders
• Analytical and Problem-Solving Skills: We need someone with a strong ability to understand complex business environments and to dive into data using Excel and SQL to derive meaningful insights.
• Attention to Detail: You will need to create clear and precise product documentation and assist in the sales and pre-sales process

Benefits

What We Offer 

• Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.  
• Conference Talks Sponsorship: Amplify your voice! If you’re speaking at a conference, we’ll fully sponsor and support your talk. 
• Cutting-Edge Projects: Work on exciting projects with the latest AI technologies   
• Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance. 
• Comprehensive Medical & Term Insurance: Full coverage for you and your family’s peace of mind. 
• And More: Extra perks to support your well-being and professional growth. 

Work Environment 

• Remote-First Culture: At Incubyte, we thrive on a culture of structured flexibility — while you have control over where and how you work, everyone commits to a consistent rhythm that supports their team during core working hours for smooth collaboration and timely project delivery. By striking the perfect balance between freedom and responsibility, we enable ourselves to deliver high-quality standards that our customers recognize us by. With asynchronous tools and a push for active participation, we foster a vibrant, hands-on environment where each team member’s engagement and contributions drive impactful results. 
• Work-In-Person: Twice a year, we come together for two-week sprints to collaborate in person, foster stronger team bonds, and align on goals. Additionally, we host an annual retreat to recharge and connect as a team. All travel expenses are covered. 
• Proactive Collaboration: Collaboration is central to our work. Through daily pair programming sessions, we focus on mentorship, continuous learning, and shared problem-solving. This hands-on approach keeps us innovative and aligned as a team. 

Incubyte is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Associate Product Manager TAP INVEST

Location: Bangalore · On-site, 5 days/week in office

Experience: 1–3 years, in Product, Analytics, or Consulting Function:

Product Management

About Tap Invest

Tap Invest is India's leading Fixed Income Investment Platform, committed to empowering investors with secure and smart investment opportunities. Join us in the pursuit of Financial Freedom through our innovative approach to wealth creation. The Role As a Associate Product Manager at Tap Invest, you will own end-to-end product structure for your area - from framing the problem to shipping and measuring the outcome. You'll drive growth-centric features that move core metrics, and lead the infrastructural and platform changes that let the product scale reliably.

What You'll Do → Own end-to-end product structure — from problem framing and scoping to shipping and measuring outcomes. → Build growth-centric features that move activation, engagement, and retention metrics. → Lead infrastructural and platform changes needed to scale the product reliably. → Work closely with engineering, design, and stakeholders to turn strategy into shipped product. → Build high-impact product experiences that help users make smarter investment decisions. → Own outcomes, not just features or sprints. → Tackle complex, ambiguous problems across investments, user engagement, and more.

What We're Looking For → 1–3 years of experience in Product Management, Analytics, or Consulting. → Strong hands-on SQL skills — comfortable pulling and interpreting data independently. → Proven ability to scope problems and write clear PRDs from ambiguous inputs. → A strong sense of ownership — you drive things to closure without being told to. → Ability to lead with clarity, aligning engineering, design, and stakeholders around a shared plan. → Strong with data — comfortable using it to prioritize, validate, and course-correct.

Good to Have → Prior experience in Fintech or BFSI — a strong plus.  

Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile

2

Mandatory(Experience 1)- Must have 7+ years of product management experience, with the most recent 3 years spent owning a consumer-facing product surface (app, web funnel, onboarding, checkout, or equivalent B2C surface

3

Mandatory(Experience 2)- Must have a metric-backed track record improving numbers — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene

4

Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice

5

Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, design teams and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders

6

Mandatory(Product Writing & Agile Delivery) - Must have strong product writing — problem briefs, PRD-lite/user stories, experiment plans, decision logs — and deep working command of Agile frameworks and tools

7

Mandatory(Company) - Must be from Top B2C product company (FinTech , InsuranceTech is the priority)

8

Mandatory (City) - Pune Based Candidates Only

9

Mandatory ( Note ) - The 1st round will be in person, so we need candidates who are available to attend the interview physically.

At Nineleaps, we work on bleeding-edge technology with class-leading engineering practices on products that touch the lives of millions of users. We endeavor on doing things the right way, while also promoting a culture of excellence.

About the Role:

We are looking for a Data Analyst with strong analytical and problem-solving skills to transform complex data into meaningful, actionable business insights. The role involves working with large datasets, conducting deep-dive analysis, driving automation, and supporting data-driven product and business decisions.

Key Responsibilities:

• Analyse historical and large datasets to understand data sources, identify trends and patterns, and uncover meaningful insights.
• Write complex SQL queries and leverage Python to perform data analysis, ad hoc investigations, and solve business problems.
• Create reports and translate analytical findings into clear, concise, and actionable recommendations for stakeholders.
• Identify opportunities to drive automation and process improvements, improving efficiency and reducing manual effort.
• Communicate data-driven insights effectively to both technical and non-technical stakeholders in a clear and impactful manner.
• Maintain accurate documentation, ensure high-quality deliverables, and consistently meet defined timelines.

Requirements:

• 3–6 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar analytical role.
• Strong hands-on expertise in Python and advanced SQL, with the ability to work with and analyse large datasets.
• Experience working with Google Sheets, and implementing automation through data pipelines or workflows.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
• Excellent communication skills with the ability to effectively present methods, results, and recommendations to stakeholders.
• Ability to collaborate effectively with remote and geographically distributed teams across different time zones.

Company Link: https://www.nineleaps.com/

Company LinkedIn: https://www.linkedin.com/company/nineleaps/

Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile

2

Mandatory(Experience 1)- Must have 7+ years of product management experience, with the most recent 3 years spent owning a consumer-facing product surface (app, web funnel, onboarding, checkout, or equivalent B2C surface

3

Mandatory(Experience 2)- Must have a metric-backed track record improving numbers — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene

4

Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice

5

Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, design teams and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders

6

Mandatory(Product Writing & Agile Delivery) - Must have strong product writing — problem briefs, PRD-lite/user stories, experiment plans, decision logs — and deep working command of Agile frameworks and tools

7

Mandatory(Company) - Must be from Top B2C product company (FinTech , InsuranceTech is the priority)

8

Mandatory (City) - Pune Based Candidates Only

Product Manager – AI/GenAI

Our AI platform that lets people ask questions of their enterprise data in natural language and get trustworthy answers. The hard part isn't the model — it's the fit between what the product can genuinely do and what customers actually need, over data that is never as clean as anyone hopes. We're hiring a Product Manager to own that fit: to do the detailed thinking on customer pain, competitive landscape, and where the technology is going, and to turn it into a sharp, defensible product proposition and roadmap. You'll work closely with the CTO (who currently carries this thinking) and become the person who owns the depth beneath it.

What you'll own

• Proposition & positioning. Take fuzzy capability and turn it into a clear, honest, defensible articulation of what Jiva is, who it's for, and why it wins. Kill the gap between what's sold and what's deliverable.

• Customer intelligence (within the current structure). Sales and Delivery own the customer relationship today; you build the customer picture through them —mining PoC post-mortems, win/loss, readiness audits, sales-call notes, and Delivery's ground truth. Extract real jobs-to-be-done, separate stated wants from underlying pain, and bring a synthesized customer voice into the room. Over time, earn a path to direct customer contact — but you'll start by getting more 

out of the signal the field teams already carry than anyone does today.

• Competitive & technology intelligence. Track the space — RAG, text-to-SQL, tabular/relational foundation models, agentic systems, the commercial players — and synthesize it into product direction. Know what's real and what's marketing.

• Requirements & roadmap. Translate the above into crisp requirements and a prioritized roadmap, in partnership with Engineering. Make the trade-offs explicit.

• Sales & Delivery enablement. Own the "what we can honestly promise" story so field teams stop overselling and start qualifying. You are the source of truth on capability boundaries.

Must-haves

• 5+ years in B2B / enterprise product management, ideally on data, analytics, AI/ML, or platform products.

• Demonstrated ability to frame a proposition — you can show us a product or feature where you turned raw capability into a positioning that won customers. Portfolio evidence, not a claim.

• Technical fluency in AI/data. You understand RAG, LLMs, text-to-SQL, and data quality well enough to judge feasibility vs. hype and to earn engineers' respect. You don't need to code; you need to reason.

• Customer discovery skill — and the resourcefulness to apply it 

indirectly. You've run structured discovery and can distinguish what customers say from what they need. Just as important here: you can extract sharp customer insight secondhand — through sales and delivery teams, deal histories, 

and product usage — because you won't have direct customer access on day one.

• Evidence-driven and structured. You validate before you evangelize. Strong written thinker — you can put a proposition on one page and defend it.

Nice-to-have

• Exposure to NL→SQL, semantic layers, knowledge graphs, or enterprise data governance.

• 0-to-1 or turnaround experience — comfort building the function, not just running it.

• Experience selling into or building for regulated / data-sensitive enterprises

We are looking for a hands-on Lead Data Scientist with strong analytical, machine learning, and problem-solving skills to work in a client-facing environment.

The role requires someone who can independently identify opportunities, formulate hypotheses, design solutions, and drive initiatives from analysis through experimentation and production implementation. The candidate should also be comfortable guiding team members and working closely with engineering and client stakeholders.

Responsibilities: 

• Analyse complex datasets to identify patterns, issues, and opportunities.
• Formulate and validate hypotheses through structured analysis and experimentation.
• Build and improve machine learning and anomaly detection solutions.
• Design end-to-end solutions considering data, modelling, engineering, and production constraints.
• Perform root cause analysis across models, data, and systems.
• Work with engineering teams on feature pipelines, model inference, and production deployment.
• Lead technical discussions with clients and communicate recommendations, trade-offs, and expected impact.
• Guide team members on analysis, modelling, and solution design.
• Proactively identify initiatives and roadmap items that can add value to the project.

Requirements: 

• Strong foundation in statistics and machine learning.
• Strong hands-on experience with Python and SQL.
• Hands-on experience with Python ML and data frameworks such as Pandas, NumPy, scikit-learn, TensorFlow/Keras, Dask, Matplotlib, Boto3 SageMaker Python SDK, and Horovod.
• Strong data analysis, hypothesis-generation, and problem-solving skills.
• Experience with standard supervised and unsupervised ML techniques.
• Experience with anomaly detection techniques such as Isolation Forest and Autoencoders.
• Experience building and deploying production ML solutions.
• Working knowledge of data engineering and real-time / batch inference environments.
• Strong communication and stakeholder-management skills.
• Ability to lead technical work and guide cross-functional teams.

Good to Have: 

• Experience in fraud detection or risk modelling.
• Experience with Graph Neural Networks.
• Exposure to real-time systems, streaming features, and low-latency data stores.
• Experience in AdTech, e-commerce, gaming, mobile applications, or similar high-volume consumer platforms.