AI Jobs

Benefits:

• Brain (intellectual value)

• Heart (team empathy)

• Gut (innovation)

• Taste (aesthetics)

Education Requirements:

• Bachelor’s degree or above, preferably in Computer Science

Experience Requirements:

• Experience in mobile testing (server-side and client-side)

• Familiarity with testing workflows for AI or gaming tools

• Proficiency in testing tools and methodologies

• Ability to perform issue localization (packet sniffing, log analysis)

• Familiarity with relational databases such as MySQL

Other Requirements:

• Excellent communication skills and team spirit

Responsibilities:

• Develop test plans and design test cases for 3D AI products

• Conduct comprehensive testing on functionality and stability

• Test user experience and optimize user journey

• Communicate with development to assist in defect resolution

• Participate in design reviews and risk assessments

Benefits:

• Take time off when you need it

• No tracked hours, just impact

• Competitive pay

• Annual offsite gathering

• Comprehensive physical and mental health coverage

Education Requirements:

• A bachelor's degree in Information Technology, Computer Science, or related fields is preferred

Experience Requirements:

• 1-3 year of hands-on experience in product, app, or tech support

• Chat, email, and voice experience is a must

Other Requirements:

• Fluent in English and empathy

• Tech-savvy (APIs, webhooks, CRMs, Intercom, JIRA)

• Problem-solver with EQ

• Comfortable juggling multiple tickets

Responsibilities:

• Provide technical support via phone, email, and chat

• Triage, troubleshoot and resolve product-related queries

• Lead live troubleshooting and screen-share sessions

• Escalate complex or high-impact issues to SME/Product/Engineering

• Collaborate with Product, Engineering, Sales, and Customer Success

Benefits:

• Competitive pay

• health insurance

• daily breakfast

• weekday lunches

• Friday team lunch

Experience Requirements:

• 3–5 years of experience in front office, office admin, or facilities support.

Other Requirements:

• Good communication skills (English, Kannada & Hindi preferred)

• Basic knowledge of MS Office / Google Workspace (Excel, Docs, Gmail)

• A people-friendly, proactive, and reliable personality

• Experience in a startup or tech company is a plus

Responsibilities:

• Welcome visitors, guests, and employees with a friendly and professional attitude

• Handle incoming calls, emails, courier and meeting room bookings

• Support daily office needs such as stationery, pantry, and other supplies

• Coordinate with housekeeping, security, and facility teams for upkeep

• Manage vendor coordination for regular office services

Benefits:

• Competitive pay

• health insurance

• daily breakfast

• weekday lunches

• Friday team lunch

Education Requirements:

• Bachelor’s degree in Engineering or a related field.

Experience Requirements:

• Minimum 2+ years of experience in Big Data.

Other Requirements:

• Proficient in SQL with the ability to write complex queries

• Strong Python skills (Pandas, NumPy, etc.)

• Excellent analytical and critical thinking abilities

• Familiarity with Google/AWS/Azure Cloud & Apache Spark

• Familiarity with Air Flow and Shell scripting

Responsibilities:

• Understand and leverage data assets with product and engineering teams

• Set up data processing pipelines using SQL, Python, Spark, and cloud

• Develop and optimize strategies for data storage and retrieval

• Research alternative data sources and assess their integration

Benefits:

• Competitive compensation & benefits

• Small teams and a non-bureaucratic environment

• High levels of empowerment

• Opportunities to accelerate and shape your career

• Fun working environment

Experience Requirements:

• 5-7 years in B2B marketing

• 2–4+ years leading PMM/Growth as a player-coach

• Marketing APIs or data products to technical stakeholders

• Hands-on experience with cloud marketplaces (Snowflake, AWS ADX)

• Proven success in early-stage or growth stage tech companies

Other Requirements:

• Fluency with time-series/forecasting concepts

• Metrics-driven operator: funnel analytics and attribution

• Excellent written and verbal storytelling

Responsibilities:

• Own category creation, product marketing, and demand generation

• Position Factori as the leading real-world intelligence provider

• Build a content engine that converts trial to PQL

• Define and own the Real-World Intelligence category pillars

• Orchestrate marketplaces, partners, and ABM

Benefits:

• Competitive pay

• health insurance

• daily breakfast

• weekday lunches

• Friday team lunch

Education Requirements:

• Chartered Accountant (CA)

Experience Requirements:

• 1–3 years of experience

• Prior experience in a SaaS or Technology startup environment preferred

Other Requirements:

• Proficiency in SaaS KPIs (ARR, Churn, Net Retention)

• Advanced Excel skills for financial modeling

• Experience with Zoho Books, QuickBooks, or Oracle NetSuite

• Familiarity with Power BI or Google Sheets

Responsibilities:

• Oversee day-to-day financial operations (AP, AR, GL)

• Design and test internal financial controls (IFC/ICFR)

• Manage financial accounts for multiple group entities

• Oversee the Order-to-Cash cycle for subscription billing

• Track and report critical SaaS metrics (ARR, MRR, Churn)

Benefits:

• Opportunity to learn global accounting standards

• Mentorship from senior finance leaders

• Exposure to the SaaS business model and metrics

Education Requirements:

• B.Com / BBA (Finance) / M.Com / MBA (Finance)

Experience Requirements:

• 6 months – 1-2 years of internship or work experience preferred

Other Requirements:

• Advanced Excel skills (VLOOKUP, XLOOKUP, INDEX-MATCH)

• Conceptual understanding of Golden Rules of Accounting

• Familiarity with Zoho Books, Xero, or Tally

• Knowledge of GST and TDS provisions

Responsibilities:

• Handle large volumes of financial data using Excel

• Write custom formulas to automate manual reconciliation tasks

• Prepare ad-hoc financial reports and assist in MIS preparation

• Validate vendor invoices and check for GST compliance

• Perform bank, vendor, and inter-company reconciliations

Benefits:

• Competitive pay

• health insurance

• daily breakfast

• weekday lunches

• Friday team lunch

Education Requirements:

• Bachelor’s degree or higher in Business, Analytics, Statistics, or Math.

Experience Requirements:

• 2+ years of experience in data science or marketing science

Other Requirements:

• Highly analytical mindset with strong problem-solving skills

• Track record working with mid-market and enterprise brands

• Ability to communicate complex data science concepts simply

• Proficiency in leveraging social media for thought leadership

Responsibilities:

• Solve measurement needs using Marketing Mix Modeling and attribution

• Articulate value propositions of the UMM platform to brands

• Study customer business goals to offer expert recommendations

• Manage customer accounts and communications

• Contribute to product roadmap and feature development

Benefits:

• Competitive pay

• health insurance

• daily breakfast

• weekday lunches

• Friday team lunch

Experience Requirements:

• 3+ years of SDR/BDR experience in a SaaS company

Other Requirements:

• Experience with cold outbound and lead generation

• Comfortable using AI and automation tools (Apollo, Clay, etc.)

• Strong communication and storytelling skills

• Prior experience in MarTech or AdTech is a big plus

Responsibilities:

• Research and identify ICPs using AI-enabled tools

• Launch multi-channel outbound campaigns (email, phone, social)

• Perform cold calls to create real conversations with prospects

• Communicate platform value to CMOs and Marketing leaders

• Maintain clean data and notes in HubSpot/Salesforce CRM

Benefits:

• Opportunity to build a global inside sales engine

• Influence company-wide revenue strategy

• High-growth SaaS environment

• Culture that values builders and impact

Experience Requirements:

• 10–15+ years of experience in B2B SaaS sales

• 5+ years leading inside sales / SDR teams

• Building inside sales engines at enterprise SaaS companies

Other Requirements:

• Experience selling complex high-value SaaS to enterprise customers

• Understanding of outbound, inbound, ABM, and multi-touch demand gen

• Builder mentality and strong ownership mindset

• Data-driven decision maker with a bias for speed

Responsibilities:

• Own pipeline generation targets (SQLs, conversion rates)

• Design and execute inside sales strategy across regions

• Hire, coach, and scale high-performing SDR / BDR teams

• Partner with Marketing to improve lead quality and attribution

• Implement and optimize CRM and sales sequencing tools

Benefits:

• Health Care Coverage

• Education Reimbursement

• Competitive Paid Time Off

• Self-Care Days

• Parental Leave

Education Requirements:

• Bachelor’s degree in Finance, Accounting, Business Administration, Economics, or related field

Experience Requirements:

• 3 years of experience in treasury, finance, accounting, or banking

Other Requirements:

• Experience managing global cash operations and banking relationships

• Proficient in MS Excel

• Excellent communication skills

Responsibilities:

• Maintain strong relationships with banking partners

• Monitor liquidity levels across global entities and ensure funding

• Coordinate opening, closing, and modification of bank accounts

• Manage and compile required KYC documentation

• Process intercompany fund transfers and maintain loan records

Benefits:

• Health Care Coverage

• Education Reimbursement

• Competitive Paid Time Off

• 4 Self-Care Days per year

• Parental Leave

Education Requirements:

• Bachelor’s degree in Accounting, Finance, or related field

• ACCA/CIMA qualified or progress toward certification

Experience Requirements:

• Minimum 3 years of relevant accounting experience

Other Requirements:

• Proficiency with ERP and revenue tools (NetSuite, Salesforce, CPQ)

• Strong analytical skills and attention to detail

• Excellent written and verbal communication skills

Responsibilities:

• Prepare journal entries and perform account reconciliations for month-end

• Review contracts to determine appropriate revenue recognition under ASC 606

• Manage and maintain Net Suite ARM

• Drive automation efforts to streamline accounting operations

• Prepare revenue related schedules for external auditors

Benefits:

• Fully remote

• Three offsites per year

• 38 paid days off

• Competitive salary + generous equity

• Personal development stipend

Experience Requirements:

• 3+ years building production software

• Founded or co-founded a tech company

Other Requirements:

• Proficiency in Python, React, and React Native

• Power user of AI tools (Claude Code, Cursor, Codex)

• Comfortable in cloud ops, CI pipelines, and mobile

• Can explain technical trade-offs to non-engineers

Responsibilities:

• Talk to customers and understand requirements

• Decide what to build and ship product

• Measure feature success

• Design and own features end-to-end

• Write production-grade backend and frontend code

Benefits:

• Fully remote

• Three off-sites per year

• Competitive pay and stock options

• 38 paid days off annually

• Personal-development stipend

Experience Requirements:

• 6+ years experience

• Experience debugging production issues using logs and metrics

Other Requirements:

• Proficiency in SQL (PostgreSQL)

• Familiarity with Python and React/JavaScript

• Strong written communication

• Bias for action and ownership

Responsibilities:

• Field incoming support requests

• Identify, reproduce, and help resolve bugs

• Maintain observability and support tooling

• Triage issues across backend, frontend, and mobile

• Contribute documentation and code snippets

Benefits:

• Competitive salary package

• Stock options

• Startup culture

• High impact

• Professional growth opportunities

Experience Requirements:

• Technical DevRel / Developer Advocate / DevEx experience at a developer-first company

• Hands-on Voice AI builder experience (Pipecat, LiveKit)

• Ability to ship production-quality code (Python, TypeScript/Node)

• Early-stage startup experience required

Other Requirements:

• Benchmarking mindset

• Excellent communication (technical writing, demos)

• On-site in Berlin

Responsibilities:

• Own developer activation and reduce drop-off

• Ship technical content (tutorials, deep-dives, examples)

• Build and maintain integrations with Pipecat and LiveKit

• Create benchmark templates and evaluation harnesses

• Run developer community engagement

Benefits:

• Competitive salary package

• Stock options

• Professional growth in Voice AI

• Collaborative startup culture

• High impact

Experience Requirements:

• Deep expertise in digital audio signal processing and acoustics

• Strong mathematical foundation

• Experience turning research/prototypes into high-performance production code

• Proficiency in Python and low-level code (Rust, C, or C++)

Other Requirements:

• Startup mindset

• Understanding of modern machine learning development workflows

• Ability to work on-site in Berlin

Responsibilities:

• Own design and evolution of core audio simulation and data generation systems

• Model realistic audio signal chains

• Translate customer audio into simulation assumptions

• Develop efficient DSP implementations for real-time and streaming

• Build and maintain tooling and abstractions for simulations

Benefits:

• Competitive salary package

• Stock options

• Learning from audio and ML experts

• High impact on generative audio

• Inclusive startup culture

Experience Requirements:

• 6+ years in a high-velocity startup or product-centric environment

• Expert in Python and FastAPI

• Proficient with PostgreSQL

• Hands-on AWS experience

• Expertise in Docker, Kubernetes, and CI/CD

Other Requirements:

• Deep understanding of the testing pyramid

• Testing mindset (pytest, unittest)

• Experience with microservices and system observability

• Start date: Jan 1, 2026

Responsibilities:

• Design & Implement RESTful and event-driven microservices

• Optimize and maintain PostgreSQL schemas

• Deploy and scale services on AWS (EKS, RDS, S3)

• Build and orchestrate Docker containers

• Implement CI/CD pipelines via GitHub Actions

Other Requirements:

• Mention desired position in the cover letter

• Upload CV and cover letter

Benefits:

• Competitive salary package

• Stock options

• Dynamic, fast-paced environment

• High impact

• Ownership & autonomy

Experience Requirements:

• Deep experience working with speech and audio data in ML contexts

• Strong understanding of voice AI pipelines (speech enhancement, VAD, STT, etc.)

• Proven experience building, curating, and maintaining datasets

• Experience designing evaluation protocols and test scenarios

• Proficient in Python and modern software development workflows

Other Requirements:

• Hands-on and startup mindset

• Understanding of audio signal processing (room acoustics, reverberation, noise)

• Ability to work on-site in Berlin

Responsibilities:

• Own the lifecycle of speech and audio ML datasets

• Design and generate synthetic and semi-synthetic datasets

• Design and maintain evaluation protocols and test scenarios

• Build tooling for evaluation and diagnostics

• Translate model failures into improvements in data or tooling

Benefits:

• Competitive salary package

• Stock options

• Opportunity to work at a rapidly growing Voice AI startup

• Dynamic, fast-paced culture

• High impact and ownership

Experience Requirements:

• 3+ years of experience in Data Engineering, ML Infrastructure, or Distributed Systems

• Deep experience with PostgreSQL at scale (schema design, partitioning, indexing)

• Experience building and operating reliable ETL pipelines (Airflow, Prefect, etc.)

• Strong Python engineering skills (async, multiprocessing)

• Experience processing very large datasets (TB-scale)

Other Requirements:

• Practical familiarity with audio data as a modality

• Experience running ML inference pipelines at scale

• Startup mindset

• Ability to work on-site in Berlin

Responsibilities:

• Architect and maintain a large-scale PostgreSQL database

• Design scalable ingestion pipelines for audio data

• Build distributed compute pipelines for ML inference

• Design and maintain efficient metadata storage

• Optimize ETL/ELT pipelines for performance and reliability