
Convosight
https://convosight.comAbout
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Jobs at Convosight

Key Responsibilities
● Manage day-to-day Accounts Payable (AP) including vendor invoices, payments, reconciliations and outstanding balances.
● Manage Accounts Receivable (AR) including invoicing, collections, customer reconciliations and ageing.
● Maintain accurate books of accounts and perform regular bookkeeping and General Ledger accounting.
● Prepare and review journal entries, accruals, provisions, prepayments and adjustments.
● Perform bank, vendor, customer and balance sheet reconciliations.
● Own the month-end and year-end financial closing process.
● Prepare and review Profit & Loss, Balance Sheet and Cash Flow Statements.
● Ensure that all accounting transactions are correctly classified and flow accurately into
the financial statements.
● Prepare schedules and supporting documentation for financial reporting and audits.
● Handle applicable taxation, GST, TDS and statutory compliance activities.
● Track and resolve accounting discrepancies and reconciling items.
● Support accounts payable/receivable ageing, working capital and cash-flow monitoring.
● Coordinate with auditors, consultants, vendors and internal stakeholders as required.
● Maintain strong accounting controls and ensure compliance with applicable accounting
standards and company policies.
● Assist in improving accounting processes, reconciliations and reporting workflows.
Required Skills
● 5–8 years of hands-on accounting / finance operations experience.
● Strong experience in AP, AR and General Ledger accounting.
● Excellent understanding of bookkeeping and the accounting cycle.
● Strong knowledge of Balance Sheet, P&L and Cash Flow Statement preparation.
● Experience handling month-end / year-end financial closing.
● Strong understanding of how transactions flow from books → GL → trial balance →financial statements.
● Experience with GST, TDS and taxation.
● Strong reconciliation skills.
● Good knowledge of accounting principles and financial reporting.
● Advanced MS Excel skills.
● Experience with ERP/accounting systems such as SAP, Oracle, NetSuite, Tally, Zoho Books or similar is preferred.
● Strong attention to detail and ability to independently identify and resolve accounting issues.
Preferred
● CA / CMA / ACCA / M.Com / MBA Finance or equivalent.
● Experience in a SaaS, technology, startup or international finance environment.
● Exposure to US accounting / US GAAP is an advantage.
● Experience working with overseas entities, currencies or international transactions is a plus.
The ideal candidate should be comfortable going from:
Invoice / Transaction → Journal Entry → Ledger → Reconciliation → Trial Balance →
Month-End Close → P&L / Balance Sheet / Cash Flow
Key Responsibilities
- Own and execute end-to-end GTM strategies for AI and technology products.
- Define target segments, ICP, use cases, positioning, messaging, and differentiation.
- Develop and execute product launch strategies across relevant channels.
- Partner closely with Sales, Marketing, Growth, and Product teams to drive pipeline, conversion, and adoption.
- Develop product messaging, sales enablement materials, use cases, and market-facing content.
- Conduct customer, market, and competitive research to identify new opportunities.
- Translate customer and market insights into product improvements and roadmap priorities.
- Work on pricing, packaging, monetization, and commercial strategy.
- Track adoption, activation, conversion, and other GTM metrics and continuously optimize.
- Identify new growth channels, experiments, and scalable GTM opportunities.
What We're Looking For
- 4–10 years of experience in Product Management, GTM, Product Marketing, Growth, Strategy, or related roles.
- Proven experience in taking technology/SaaS products to market.
- Strong understanding of GTM strategy, positioning, customer segmentation, adoption, and growth.
- Experience working closely with Sales and Marketing teams.
- Strong customer and market orientation with the ability to identify and validate business opportunities.
- Strong analytical, communication, and stakeholder-management skills.
- Comfortable working in a fast-paced, high-ownership startup environment
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Requirements:
- 5+ years in data architecture/data engineering, with at least 2+ years in an architect or lead capacity.
- Strong SQL: advanced query optimisation, indexing, partitioning strategies.
- Data modeling dimensional modelling (star/snowflake schema), normalization/denormalization tradeoffs, entity relationship design.
- Cloud data platforms: hands-on with AWS (Redshift, S3 Glue), Azure (Synapse, Data Factory), or GCP (BigQuery, Dataflow).
- Big data ecosystems: Spark, Hadoop, or Kafka for large-scale/streaming data.
- Data warehousing Snowflake, Redshift, BigQuery, or Databricks.
- ETL/ELT pipeline design: Airflow, dbt, Fivetran, or similar orchestration tools.
- Data governance & security: data lineage, access control, compliance (GDPR/SOC2), master data management.
Strongly Preferred:
- Experience architecting systems supporting ML/AI pipelines (feature stores, vector DBs, real-time inference data flows).
- Programming in Python or Scala for pipeline development.
- API/microservices architecture exposure, understanding how data systems integrate with application layers.
- Experience with data mesh/data lake house architectures.
- Prior experience presenting architecture decisions to leadership/stakeholders.
Nice-to-Have (Differentiators):
- Certifications: AWS/GCP/Azure data architecture certs.
- Experience in a high-growth startup (built systems from scratch, not just maintained legacy).
- Exposure to real-time/streaming architecture (Kafka, Kinesis, Flink).
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
AI Product QA Engineer
This is not the QA you know. We're not hiring someone to find bugs. We're hiring someone to guard the user's experience — with AI as the foundation.
Read this before you read anything else
Forget everything traditional QA taught you.
I don't want "I tested it, here are the 14 defects." I don't want a gatekeeper at the end of the line ticking checkboxes against a technical feature list. That QA is dead here, and honestly, AI already does it better.
I want business-product QA. Product taste as a discipline. User empathy as a test case. Your foundation is AI — everything runs through Claude Code / Codex — and on top of that foundation you apply QA from a business, user-empathy, onboarding, and go-to-market lens. You're not asking "does the button work?" You're asking "is this the sharpest user journey this product could possibly have?"
We're extreme about four things and nothing else: extreme hard work, extreme respect, extreme shipping, extreme innovation. Not hours . There's no boss — there's a product, a user, and you. You're rewarded on one thing: your hunger.
The 90 / 10
Same philosophy that runs this whole company. 90% of the work, AI does. Claude Code writes the test cases, automates the suites, drives the API calls, spins up the harness — faster than any QA team I've ever run . That 90% is the floor now.
The 10% is you — the human who decides what's actually worth testing and why:
- the user empathy — feeling the friction a real brand manager feels at 9pm
- the judgment — is this the sharpest journey, or just a working one?
- the taste — the design standard, the elegance, the delight
- the business sense — does this survive a real client's Tuesday, their onboarding, their objection?
- the critical eye — reading an AI trace and knowing instantly when the product is confidently wrong
AI didn't shrink QA. It concentrated it. The 10% is smaller and heavier than the 100% ever was. That's the 10% I'm hiring.
How you actually work
Everything you do runs through Claude Code. You write the cases in it. You automate the cases in it. You do business testing in it. You interrogate user empathy in it — "how will the user react to this, and is this the sharpest journey of the product?"
But make no mistake: this is technical QA. You write scripts. You hit and test APIs directly. You read the traces, the payloads, the failure modes. You don't wait for a UI to click — you go straight at the system. The difference from old-school QA isn't less technical; it's technical in service of the user and the business, not the feature checklist.
The stack & the surface
We're a web application in Python, Rust, and everything in between — and you'll be QA-ing across four products: ARIA, the Persona product, the video-decoding product, and the rest of the family. Real APIs, real pipelines, real agents watching millions of social videos in Hindi, Tamil, Bahasa, Thai for the world's biggest consumer brands . You need to be comfortable writing a script to probe any of them and reading exactly what came back.
Your first 48 hours
Day one, morning: you get access to a live product and its real client questions in the queue. Not a sandbox. Not a tutorial.
Day one, afternoon: you pick one user journey and, in Claude Code, you build the case, automate it, and pressure-test it against the actual experience a client would have.
Day two: you tell me not "here are the defects" but "here's where the journey breaks the user, and here's the sharper one." And you've already got the automated eval that guards it going forward.
If that scares you, this isn't your room. If it makes you grin — keep reading.
The loop
We are always on. A technique drops on Twitter Tuesday morning; by Thursday it's in a product; by Friday a brand team on the other side of the world is using it — and someone has to make sure that journey is delightful, not just functional. That someone is you. See it. Test it against the user. Sharpen it. Ship it. The loop never stops. If your learning lives in "read later" folders , this will break you.
What you own
The user's experience across every product. Not the defect list — the journey. Find a problem and you don't just log the instance; you build the automated eval in Claude Code that kills the whole class of bad experience forever. Your evals become the product's conscience. Your standard becomes the bar the whole team ships to.
The bar is craft, not years. 23 or 43 — I don't care. I care whether you can feel what a user feels and write the script that proves it.
Who this is actually for
This is a close-to-100% self-starter environment.
You do not want to be here if you want to be handed a test plan. You want to be here if you believe you're the only one who can guard this product's soul — the king or queen of the user journey — with absolute hunger burning in you to do it. Here, will is bigger than skill. And AI isn't a tool you use; it's the foundation you think on.
Fair warning ⚠
The pace is relentless and there's no playbook for AI-product QA — you're partly inventing the discipline as you go. If you want a stable checklist and a comfortable gate at the end of the pipeline, you'll be miserable here, and I'd rather you know now. But if you want to define what QA even means in the age of agents — what you learn here in one year, you won't learn anywhere else in five.
How this goes
Don't send a resume. Send the 10%.
An eval harness you're proud of. A test suite you built in Claude Code that caught something a checklist never would. A teardown of a product's user journey where your taste and your technical chops were unmistakably yours.
Work Location: Remote

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Key Responsibilities:
- Design, execute, and maintain comprehensive manual test cases.
- Perform exploratory, functional, and regression testing across multiple releases.
- Identify, document, and track defects using bug tracking tools (e.g., JIRA).
- Collaborate closely with developers and product teams to ensure timely, high-quality releases.
- Prioritize testing tasks effectively in a fast-paced, dynamic environment.
Required Skills:
- Solid manual testing expertise with strong attention to detail.
- Experience in functional, regression, and exploratory testing.
- Proficiency with test management and bug tracking tools.
- Ability to create and execute test cases quickly without compromising depth.
- Strong adaptability to shifting priorities and tight deadlines.
Good to Have (Optional):
- Basic knowledge of automation frameworks (Selenium, Cypress, Playwright, etc.).
- Exposure to CI/CD pipelines and version control (Git, Jenkins, etc.).
Qualifications:
- 3–5 years of professional experience in software QA.
- Bachelor’s degree in Computer Science, Engineering, or related field (preferred).

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Core AI Backend Engineer – LLM Fine-Tuning
You know that moment when you don’t just debug code — you train a model, fine-tune it, and suddenly it understands your domain better than you expected? That’s the kind of magic we’re looking for.
We’re building something that turns chaotic social video data into crystal-clear business intelligence. Not just another API — but AI-backed architecture fine-tuned to our world. Systems that marketing teams thank you for, because they feel the intelligence, not just the infrastructure.
Either you feel the craft when you read this, or you don’t. This isn’t just another backend role. This is where you bring together scalable systems and cutting-edge LLMs to build something the world hasn’t seen before.
Who We Are
We’re a small, global team that ships fast. Every line of code and every model choice affects millions of video analysis requests.
Our engineers don’t just build APIs — they architect solutions, they optimize at scale, and now, they fine-tune models to make AI work in the real world. Our CPTO still codes. Our senior engineers make complexity look effortless. Our backend team sets a standard that others ask how we move so fast.
What We Need
We need someone who’s lived both sides of this life:
- Backend excellence: building high-scale, high-performance systems.
- LLM fine-tuning: hands-on with open-source models, not just calling APIs.
Someone who can sit with a requirement at 2pm and by 6pm not only has endpoints working, but also has a fine-tuned model running behind them — customized to our use case.
Your Craft
- JavaScript/TypeScript & NodeJS as core backend tools.
- Next.js for full-stack where needed.
- Rust when performance is non-negotiable.
- Golang/Python as comfortable tools of choice.
- MySQL/Postgres/Redis — wielded with intention.
- AWS ecosystem — your playground, not your puzzle.
- LLM/AI integration you’ve actually shipped.
- Open-source LLM fine-tuning experience:
- Bringing in open-source models (LLaMA, Mistral, Falcon, etc.).
- Fine-tuning/adapting them for specific domains.
- Optimizing for inference cost, latency, and accuracy.
The Reality
The work is beautifully complex. The scale is real and growing. The problems are the kind that wake you up at 3am with solutions.
If you get your energy from building backend systems and adapting LLMs to make them smarter for real-world use, you’ll probably fall in love with what we do. If you’re only interested in APIs without touching models, this won’t be your thing — and that’s completely okay.
How to Apply
If you’re reading this thinking “finally, a team that actually cares about real AI engineering” — we’d love to see something you’ve built.
Not just a resume. Show us your craft:
- An LLM fine-tuning repo.
- A domain-adapted model you worked on.
- A system design where you combined backend and AI.
- Or even a short write-up or voice note explaining what you’ve fine-tuned.
We’re genuinely excited to see what you’ve done and have a meaningful conversation about whether this could be magic for both of us.

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Product Manager – AI Go-to-Market (GTM)
You know that feeling when you see a product not just built, but truly adopted? That’s what this role is about.
We built something that turns the endless scroll of social video into business intelligence. The product is already strong — now it’s time to take it to market, scale adoption, and own how it reaches the world.
This isn’t another PM role. This is where you become the strategist who shapes how AI meets the market.
Who We Are
Our team is small, global, and moves fast. Not startup-fast. Not “we say we’re agile” fast. Actually fast.
We ship meaningful features in days, and now we need someone who can do the same on the market side.
The people here don’t just work with AI — they think in AI. They dream in Python. They know how to build.
What we’re missing is the person who knows how to launch, position, and scale.
What We Need
We need someone who’s lived the GTM life.
Someone who has:
- Shaped go-to-market strategies across multiple channels.
- Crafted positioning, messaging, and pricing that drove adoption.
- Partnered with sales & marketing to accelerate pipeline and conversion.
- Translated market insights into product direction.
You don’t need to be taught what adoption metrics look like. You don’t need to “grow into” GTM strategy. You already know these things so deeply that you can focus on the only thing that matters: getting AI into the hands of people who can’t live without it.
Who You Are
- Strong IT/product foundation with a track record in launching AI/tech products.
- An AI believer who sees how it will reshape industries.
- Obsessed with channels, adoption, differentiation, and growth loops.
- Someone who thrives where market execution meets product credibility.
The Reality
The work is beautifully challenging. The pace is intense in the best way. The problems are complex but worth solving. And the team? They care deeply.
If you get your energy from taking innovation to market and building adoption strategies that matter, you’ll probably fall in love with what we do here. If you prefer more structure or slower rhythms, this might not align — and that’s completely valid.
How to Apply
If you’re reading this thinking “finally, somewhere that gets it” — we’d love to see something you’ve launched. Not a resume. Not a cover letter. Show us proof of how you’ve taken a product to market.
We’re excited to see what you’ve built and have a real conversation about whether this could be magic for both of us.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Who We Are
We’re a small, global team shipping ambitious features at a pace that would overwhelm most.
The kind of pace where QA isn’t a back office function — it’s the heartbeat of everything we
ship. Our customers expect speed and trust. QA is where those two meet.
What We Need
We’re looking for a QA Specialist who thrives in fast-moving environments. Someone who can:
● Spot gaps before they become failures.
● Shift gears as priorities change — without losing accuracy.
● Push testing forward with the urgency of a live launch.
This isn’t about ticking boxes on a test plan. It’s about owning the quality of what reaches the
customer, no matter how quickly the roadmap evolves.
Your Craft
● 3–5 years of experience in software QA (manual, automated, or both).
● Fast learner who can get inside the product’s mind and test like a real user.
● Ability to design and execute test cases at lightning speed — without compromising
depth.
● Comfort with dynamic priorities: you can validate a demo at noon and regression test a
release by 6pm.
● Familiarity with QA tools, automation frameworks, and bug tracking — but more
importantly, the instinct to know what needs to be tested first.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
What We Need
We're looking for someone who’s designed scalable design systems, shipped real products, and
knows the why behind every element they place. You bring empathy for users, a ruthless eye for
simplicity in complex environments — and a solid foundation in core engineering from your
academic background.
Your Craft:
● Figma is your second home — you dream in auto-layouts and components
● You think in systems, not just screens
● You can take a complex AI workflow and turn it into a 3-click joyride
● You’ve worked closely with product and engineering teams to ship cross-platform
features
● Accessibility, responsiveness, and performance aren’t afterthoughts — they’re
non-negotiables
● Animation, motion, and micro-interactions? You use them with purpose
● You’ve designed for SaaS platforms, ideally with data-heavy dashboards or analytics
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Location: Remote / Flexible
Type: Full-Time
Experience: 1–3 years (or an insane portfolio that speaks for itself)
Industry: Social Media / Digital Content / Creative Marketing
About the Role
We’re looking for a bold, culture-savvy creator who doesn’t just follow trends — they start them. You’ll take over our social media presence (TikTok, Instagram, YouTube) and create scroll-stopping content that turns casual viewers into obsessed fans.
This isn’t your standard “post and pray” corporate social role. We want someone who thrives on chaos, creativity, and cultural impact. If you think in memes, dream in Reels, and can smell a trend before it hits the algorithm — you’re exactly who we want.
What You’ll Do
- Own and manage our TikTok, Instagram, and YouTube channels end-to-end
- Create short-form, high-impact content that’s unapologetically bold and culturally relevant
- Jump on trends instantly — speed beats perfection here
- Engage with audiences in our brand’s unique, loud, and authentic voice
- Collaborate with internal teams for creative campaigns and launches
- Experiment constantly — test new formats, new tones, and new ideas
- Analyze performance metrics to double down on what works
Who You Are
- Social media native — TikTok, IG Reels, YouTube Shorts are second nature
- Meme-literate, pop culture fluent, and unapologetically creative
- Confident in front of a camera (bonus points if you can edit your own videos)
- Comfortable working fast and loose — no hand-holding, no red tape
- Understands storytelling, virality, and emotional hooks
- Knows how to make brands feel human, funny, and unforgettable
Bonus Points For
- Experience building personal or brand accounts with significant followings
- Skills in video editing tools (CapCut, Adobe Premiere, Final Cut, etc.)
- Background in influencer marketing or online community growth
- A portfolio of viral content you’ve created
Why Join Us
- Creative freedom — push boundaries, break rules, make noise
- Be the face and voice of a bold, disruptive brand
- No corporate fluff — just real impact and fast growth
- A team that celebrates risk-takers and internet disruptors
How to Apply
Send us:
- Your social media handles
- A quick video or portfolio showing your best content
- One idea you’d post tomorrow if you took over our socials
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