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Q-Solutions Technology Services

Q Solutions is building AI-native products across industries. We are looking for an AI-Driven Product Manager who understands how to leverage artificial intelligence not just as a feature — but as a core product capability.This role is designed for someone who thinks in systems, moves fast with AI tools, and can drive products from concept to scalable delivery using an AI-first SDLC approach.You will be responsible for leading AI-powered product initiatives across research, validation, build, launch, and growth phases.<h2> Key Responsibilities</h2><h3> </h3><h3>AI-First Product Strategy  </h3><ul><li>Define product vision aligned with AI-native capabilities</li><li>Identify opportunities where AI can create defensible competitive advantage</li><li>Translate business problems into AI-driven product solutions  </li></ul><h3>AI SDLC Execution  </h3><ul><li>Lead product development using Q Solutions’ AI SDLC framework: <ul><li>Discovery &amp; validation</li><li>Rapid AI prototyping</li><li>Data design &amp; workflow automation</li><li>Iterative deployment &amp; feedback loop  </li></ul></li><li>Collaborate with engineering, design, and AI teams for implementation  </li></ul><h3>Rapid Prototyping &amp; Experimentation  </h3><ul><li>Use AI tools and no-code platforms to validate ideas quickly</li><li>Build MVPs using AI APIs, LLM workflows, automation systems</li><li>Run product experiments and measure performance  </li></ul><h3>Cross-Functional Leadership  </h3><ul><li>Work closely with: <ul><li>Developers</li><li>AI Engineers</li><li>Designers</li><li>Operations</li><li>Sales</li></ul></li><li>Drive alignment across stakeholders  </li></ul><h3>AI Performance Optimization  </h3><ul><li>Monitor model performance and user interaction data</li><li>Improve prompts, workflows, and automation efficiency</li><li>Ensure ethical and responsible AI implementation  </li></ul><h2>What We’re Looking For</h2><h3> Education  </h3><ul><li>Bachelor’s degree in Computer Science, Engineering, Business, or related field  </li></ul><h3>Experience  </h3><ul><li>2–5 years in Product Management (AI exposure preferred)</li><li>Experience building SaaS, AI tools, or automation platforms</li><li>Strong understanding of AI tools, LLM workflows, and APIs  </li></ul><h2>Required Skills  </h2><ul><li>AI-native product thinking</li><li>Strong requirement documentation &amp; PRD writing</li><li>Understanding of AI/ML fundamentals (LLMs, APIs, embeddings, workflows)</li><li>Experience with AI tools (e.g., ChatGPT, Claude, automation tools, etc.)</li><li>Data-driven decision-making</li><li>Agile product execution</li><li>KPI definition &amp; performance tracking  </li></ul><h2>Core Competencies  </h2><ul><li>Systems thinking</li><li>Strategic problem-solving</li><li>Experimentation mindset</li><li>Strong ownership</li><li>Structured communication</li><li>Analytical thinking</li><li>Ability to convert ambiguity into product direction  </li></ul><h2>Bonus Qualifications  </h2><ul><li>Experience with AI API integrations</li><li>Built AI-powered MVPs</li><li>Familiar with prompt engineering</li><li>Experience in automation platforms</li><li>Exposure to AI compliance &amp; governance frameworks  </li></ul><h2>KPIs for This Role  </h2><ul><li>Time-to-MVP reduction</li><li>AI feature adoption rate</li><li>Product usage growth</li><li>AI workflow efficiency improvement</li><li>Product release predictability</li><li>Revenue contribution from AI products  </li></ul><h2>What You’ll Get  </h2><ul><li>Opportunity to build AI-native products</li><li>Exposure to cutting-edge AI tooling ecosystem</li><li>Direct leadership access</li><li>Ownership over end-to-end product lifecycle</li><li>High-growth trajectory within Q Solutions</li><li>Performance-based growth opportunities</li></ul>

AI-Driven Product Manager

Qureos

About Qureos Hiring is broken. Slow. Manual. Expensive.At Qureos, we’re rebuilding how companies hire using AI, structured processes, and smart automation.We move fast. We test aggressively. We scale what works.Now we’re looking for a GTM Engineer who can build the engine behind our revenue machine.If you enjoy scraping clean data, wiring tools together, automating workflows, and watching pipeline velocity improve because of systems you built — keep reading. The Role This isn’t traditional RevOps.This is hands-on, technical GTM engineering.You’ll sit at the intersection of:<ul><li>Sales</li><li>Growth</li><li>Data</li><li>Automation</li></ul> Your mission: Build and optimize the infrastructure that powers our entire revenue engine. What You’ll Own <ol><li>Lead Intelligence &amp; List Building - Scrape and enrich lead data using tools and scripts - Build high-quality, segmented lead lists - Use LinkedIn Sales Navigator, scraping tools, APIs, and enrichment platforms - Continuously improve data quality and targeting logic - Outbound shouldn’t rely on guesswork. It should run on signal.  </li><li>GTM Automations - Build automations using Make / Zapier - Connect HubSpot, Zoho, LinkedIn, Airtable, and other tools - Design workflows that eliminate manual tasks - Automate lead routing, enrichment, tagging, and lifecycle transitions - If it’s repetitive, it should be automated.  </li><li>Sales &amp; SDR Sequences - Set up and optimize outbound sequences - Structure email + LinkedIn cadences - Align messaging workflows with ICP segments - Improve conversion rates across touchpoints - Sequences are systems. Systems should be engineered.  </li><li>Integrations &amp; Infrastructure - Connect tools across the revenue stack - Build API-based integrations where needed - Write Python scripts for scraping and automation - Maintain data integrity across systems - Troubleshoot workflow issues proactively - You should be comfortable going from no-code to code when needed.  </li><li>Reporting &amp; Revenue Insights - Review performance numbers across the funnel - Track pipeline coverage and velocity - Maintain clean dashboards and reporting structures - Use Mixpanel, Airtable, CRM data to provide actionable insights - Identify bottlenecks and propose fixes - This role is not just building systems — it’s improving them.</li></ol> Who You Are <ul><li>2–5 years experience in GTM, RevOps, Growth Ops, or technical sales operations</li><li>Comfortable with both no-code tools and writing scripts</li></ul> Experience with: <ul><li>HubSpot</li><li>Zoho</li><li>LinkedIn Sales Navigator</li><li>Make / Zapier</li><li>Python (scraping / automation)</li><li>Mixpanel</li><li>Airtable</li><li>Strong understanding of outbound and pipeline mechanics</li><li>Numbers-driven, you care about conversion rates, velocity, and coverage</li><li>Builder mindset: high ownership, fast execution</li><li>Comfortable working in ambiguity</li><li>Thinks in systems, not tasks</li></ul> You don’t wait for instructions.You identify inefficiencies and fix them. What Good Performance Looks Like <ul><li>Clean, scalable GTM infrastructure</li><li>2–3x pipeline coverage maintained</li><li>Reduced manual work across SDR &amp; sales teams</li><li>Accurate reporting and visibility</li><li>Faster lead-to-meeting conversion</li><li>Revenue engine that runs smoother every month</li></ul> Why Join Qureos <ul><li>Build the backbone of a fast-scaling AI company</li><li>High ownership and autonomy</li><li>Direct impact on revenue growth</li><li>Work closely with growth and leadership</li><li>No bureaucracy. Just speed and execution.</li></ul> If building systems that drive revenue excites you more than maintaining spreadsheets, apply.Let’s engineer the growth engine.

Revenue Operations Specialist

Reckitt

<div>
 We are Reckitt
 
 
 Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.
 
 
 Supply
 
 
 Our supply chain is the backbone of our business. It's how we get our trusted products to people all over the world, safely and efficiently. And it's our talented and passionate teams that make this happen. If you're looking for a career in supply chain, there's no better place to be than Reckitt. We offer a variety of exciting opportunities in all areas of the supply chain, from planning and procurement to manufacturing and logistics. You could join our Global Supply Planning team to develop and implement our global supply strategy, or work with our Procurement Centre of Excellence team to negotiate and manage our supplier relationships. Our Manufacturing Excellence team help us improve the efficiency, quality and safety of our manufacturing operations, and our Logistics Excellence team develop new and innovative ways to distribute our products to customers.
 
 
 
 About The Role
 
 
 
 The purpose of this role is to oversee all engineering activities within the region (South Africa &amp; Nigeria), ensure efficient delivery of the regional supply capital investment plan, the development of capital masterplans, compliance to preferred suppliers list and relevant engineering standards &amp; processes, capital project review and remediation, governance, and ad-hoc support. This involves strategic leadership, risk management, fostering a safety-conscious culture, and close collaboration with factories for seamless execution of capital plans. The role is pivotal in aligning project success criteria with industrial execution, ensuring a commitment to deliver solutions that meet or exceed agreed requirements.
 
 
 Your responsibilities
 
 
 
 Strategic Leadership:
 
 
 
 <ul>
 <li>
 Define the vision and strategy for engineering capital projects across Reckitt's manufacturing sites.
 </li>
 <li>
 Collaborate with senior leadership to align capital masterplans with overall business objectives.
 
 
 </li>
 </ul>
 
 Capital Project Management:
 
 
 
 <ul>
 <li>
 Establish and maintain effective capital project management systems in line with global standards from idea generation through execution to post investment review.
 </li>
 <li>
 Monitor key performance indicators (KPIs) related to capital projects.
 </li>
 <li>
 Drive continuous improvement initiatives in CAPEX execution.
 </li>
 <li>
 Ensuring Vertical Start Up of new purchased assets.
 
 
 </li>
 </ul>
 
 Governance &amp; Reporting:
 
 
 
 <ul>
 <li>
 Ensure capital project governance in compliance of financial requirements.
 </li>
 <li>
 Attend project/factory steercos.
 </li>
 <li>
 Facilitate reporting for regional project update, Capital Committee and regional requirements.
 
 
 </li>
 </ul>
 
 Collaboration and Cross-Functional Engagement:
 
 
 
 <ul>
 <li>
 Work closely with cross-functional teams, including engineering, production, quality assurance, and R&amp;D.
 </li>
 <li>
 Engage with external stakeholders, regulatory bodies, industry associations and vendors.
 
 
 </li>
 </ul>
 
 Risk Assessment and Mitigation:
 
 
 
 <ul>
 <li>
 Conduct thorough capital project reviews to minimise execution risks.
 </li>
 <li>
 Develop and implement risk reduction strategies.
 </li>
 <li>
 Ensure compliance with relevant engineering regulations and standards.
 
 
 </li>
 </ul>
 
 Training and Education:
 
 
 
 <ul>
 <li>
 Provide training and guidance to employees on engineering protocols.
 </li>
 <li>
 Foster a safety-conscious culture throughout the organization.
 
 
 </li>
 </ul>
 
 Incident Investigation and Root Cause Analysis:
 
 
 
 <ul>
 <li>
 Lead investigations into capital project deviations.
 </li>
 <li>
 Identify root causes and implement corrective actions to improve the process.
 
 
 </li>
 </ul>
 
 Team Development
 
 
 
 <ul>
 <li>
 Mentor and develop engineering managers and teams to build a talent bench.
 </li>
 <li>
 Foster a culture of continuous improvement &amp; collaboration.
 
 
 </li>
 </ul>
 The experience we're looking for
 
 
 
 Essential:
 
 
 
 <ul>
 <li>
 Bachelor's degree in an Engineering discipline or related field.
 </li>
 <li>
 Minimum of 10 years of experience in engineering out of which 5 years leadership role in Engineering within the CPG industry or Pharmaceutical.
 </li>
 <li>
 Proven track record of successfully implementing engineering capital investment programs.
 </li>
 <li>
 Demonstrated experience in delveiry of Vertical startup.
 </li>
 <li>
 Strong knowledge of relevant regulations and industry best practices.
 </li>
 <li>
 Excellent leadership, communication, and collaboration skills.
 </li>
 <li>
 Willingness to travel as required.
 
 
 </li>
 </ul>
 
 Desirable:
 
 
 
 <ul>
 <li>
 3+ years of experience in regional engineering role role in CPG.
 </li>
 <li>
 Proven experience working in a multinational environment and managing cross-cultural teams with experience working in different geographies
 
 
 </li>
 </ul>
 The skills for success
 
 
 Supply Chain Management, Business Partnership, Collaboration, Partnership building, Relationship management, Business accumen, Productivity management, Improve business processes, Advanced analytics, Data analytics, Manufacturing excellence.
 
 
 What we offer
 
 
 With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.
 
 
 Equality
 
 
 We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.
</div>

Regional Engineering Head MENARP

Progziel Technologies

About the RoleWe are looking for a detail-oriented and ownership-driven Software Quality Assurance Engineer to ensure the highest quality standards across our Web Applications, Mobile Applications, and Digital Marketing projects.This role is not limited to finding bugs &mdash; it requires structured thinking, risk identification, and proactive quality ownership throughout the development life cycle.If you believe quality is a responsibility, not just a task, we would like to hear from you.Key ResponsibilitiesPerform functional and regression testing for custom web and mobile applicationsDesign and execute structured test cases and test scenariosIdentify, document, and track defects clearly using proper severity and priorityValidate role-based access, workflows, and integrationsConduct cross-browser and cross-device testingSupport UAT and release validation processesCollaborate closely with developers, project managers, and stakeholdersEnsure quality standards before production releasesContribute to process improvement and quality governanceRequired Technical SkillsStrong understanding of SDLC and STLCExperience testing custom web applicationsExperience testing mobile applications (Android / iOS)Experience in API testing (Postman or similar tools preferred)Understanding of regression, smoke, and functional testingFamiliarity with bug tracking tools (Jira, ClickUp, etc.)Basic understanding of databases and APIs (preferred)Digital Marketing QA (Preferred)Experience validating SEO implementationsExperience validating Google Analytics / GTM trackingExperience verifying PPC landing pages and conversion trackingCertifications (Preferred but not Mandatory)Candidates with certifications from recognized organizations will be preferred:ISTQBASTQBQAI (CSTE / CSQA)ASQSoft Skills &amp; Professional ExpectationsStrong analytical and problem-solving skillsExcellent documentation abilityProfessional written and spoken EnglishStrong business communication skillsAbility to work under deadlinesDecision-making ability under release pressureOwnership mindset and accountabilityPerformance ExpectationsMaintain high defect detection efficiencyReduce production-level defectsEnsure structured QA documentationImprove release quality and stabilityCompensation &amp; GrowthCompetitive salary (PKR-based)Performance-driven growth pathOpportunity to work on international projectsExposure to structured project environmentsCareer path toward Senior QA / QA Lead rolesHow to ApplyInterested candidates should submit:Updated CVBrief summary of QA experiencePortfolio or project examples (if applicable)Certification details (if any)Apply now and become part of a team that values structured quality and professional delivery.Job Type: Full-timeWork Location: In person

Software Quality Assurance (QA) Engineer

Getz Pharma

<div>
 
 
 Job Summary:
 
 
 
 The incumbent is required to supervise the warehouse operations of Engineering store of S-29 Facility, having basic understanding of handling/storage of engineering spares &amp; consumable items &amp; their inventory management protocols that are being followed in Pharmaceutical Industry as well. He should have hand on experience of warehouse operations &amp; can supervise the team along with individual task compilation.
 
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 Stake holder management at his level &amp; coordination with Procurement, Engineering &amp; Store teams accordingly.
 </li>
 <li>
 Receiving of Engineering spare items, and GRN of received materials.
 </li>
 <li>
 Issuance of engineering items as per work order notification &amp; inventory reconciliation of ERSA, UNBW and store's consumables.
 </li>
 <li>
 Cycle count of the existing inventory on annual or need basis.
 </li>
 <li>
 Responsible to coordinate with Procurement &amp; other stake holders for timely receiving of items in the store.
 </li>
 <li>
 Responsible to prepare relevant SOPs &amp; training to his delegates.
 </li>
 <li>
 Responsible to follow the compliance &amp; protocols as per management policy.
 </li>
 <li>
 Ensure timely issuance of parts/items as per request of engineering team &amp; maintain the records of the store.
 </li>
 <li>
 Assist the warehouse teams of all the engineering store &amp; maintain cordial relations within the team, and should be able to lead the team &amp; assign tasks.
 </li>
 </ul>
 
 
 
 
 
 Key Requirements:
 
 
 
 The candidate must have/be
 
 <ul>
 <li>
 a minimum qualification of bachelors, B-Tech, or relevant qualification
 </li>
 <li>
 a minimum of 2-6 years of relevant work experience in the Pharma industry
 </li>
 <li>
 SAP Knowledge &amp; proficient user, and command in MS Office.
 </li>
 <li>
 Relevant Job Knowledge (Handling of engineering store)
 </li>
 </ul>
 
 
</div>

Senior Executive/ Executive Engineering Store

NXT LABS

<div>
 Job Brief
 
 
 Position:
 
 Senior MLOps Engineer
 
 Role Objective
 
 Ensure all production Machine Learning models are reliable, continuously monitored, retrainable, and fully auditable. This role exists to prevent silent model decay and reduce operational load on Data Science teams by architecting robust, automated deployment and monitoring frameworks.
 
 Role Description
 
 The Senior MLOps Engineer is responsible for the technical implementation of production-grade Machine Learning systems. This includes architecting scalable pipelines, managing real-time inference services, and ensuring seamless integration within cloud environments.
 
 
 The role focuses on transitioning models from experimentation to high-throughput production services, ensuring each solution is secure, performant, and engineered to solve complex organizational challenges at scale.
 
 Company Overview
 
 
 NXT
 
 is a fast-growing technology organization focused on building scalable products and intelligent solutions that simplify and improve the lives of users worldwide. We aim to foster a high-performance technology culture and an entrepreneurial ecosystem recognized for excellence and innovation.
 
 Key Responsibilities
 <ul>
 <li>
 
 
 End-to-End Productionization:
 
 Architect and deploy ML models across the full lifecycle (training &rarr; deployment &rarr; monitoring).
 
 </li>
 <li>
 
 
 Model Observability:
 
 Implement comprehensive monitoring for data drift, model drift, and performance degradation.
 
 </li>
 <li>
 
 
 Retraining &amp; Rollbacks:
 
 Design and own automated retraining pipelines and safe rollback mechanisms to maintain model integrity.
 
 </li>
 <li>
 
 
 ML CI/CD:
 
 Build and maintain automated workflows for model versioning, lineage tracking, and artifact storage.
 
 </li>
 <li>
 
 
 Inference Optimization:
 
 Apply optimization techniques such as quantization, pruning, and caching to reduce compute costs and improve latency.
 
 </li>
 <li>
 
 
 Standardization:
 
 Establish best practices for model registries, metadata management, and reproducibility of production assets.
 
 </li>
 <li>
 
 
 Operational Integration:
 
 Collaborate with cross-functional teams to operationalize ML models for use cases such as search ranking, valuation engines, and quality scoring.
 
 </li>
 </ul>
 Technical Stack &amp; Tools
 <ul>
 <li>
 
 
 Programming:
 
 Python (Expert), SQL (Expert), FastAPI or Flask (Model APIs)
 
 </li>
 <li>
 
 
 Orchestration:
 
 Airflow, Dagster, or Prefect; GitHub Actions for CI/CD
 
 </li>
 <li>
 
 
 MLOps Frameworks:
 
 MLflow, DVC, Weights &amp; Biases, Kubeflow
 
 </li>
 <li>
 
 
 Infrastructure:
 
 Docker, Kubernetes
 
 </li>
 <li>
 
 
 Cloud Platforms:
 
 AWS SageMaker, Azure ML, or GCP Vertex AI
 
 </li>
 <li>
 
 
 Monitoring:
 
 Prometheus, Grafana, or equivalent observability tools
 
 </li>
 <li>
 
 
 Data Processing:
 
 Apache Spark (PySpark), Databricks, or Snowflake
 
 </li>
 </ul>
 Qualifications &amp; Experience
 <ul>
 <li>
 
 
 Experience:
 
 
 <ul>
 <li>
 
 5+ years in Data Science / Machine Learning
 
 </li>
 <li>
 
 3+ years specifically in MLOps or Production ML Engineering
 
 </li>
 </ul>
 </li>
 <li>
 
 
 Production Delivery:
 
 
 Proven experience building, deploying, and maintaining high-throughput inference services in live production environments.
 
 </li>
 <li>
 
 
 System Grit:
 
 
 Comfortable working with legacy systems and imperfect infrastructure to design robust, scalable pipelines.
 
 </li>
 <li>
 
 
 Business Systems Integration:
 
 
 Experience integrating ML solutions with enterprise systems such as ERP, CRM, or supply chain platforms.
 
 </li>
 <li>
 
 
 Cloud Collaboration:
 
 
 Strong experience delivering AI solutions on AWS, Azure, or GCP in collaboration with Data Engineering and DevOps teams.
 
 </li>
 </ul>
 Additional Notes
 <ul>
 <li>
 
 
 Immediate joiners will be preferred.
 
 
 </li>
 </ul>
</div>

Senior MLOps Engineer

Liquid Technologies Pakistan

<div>
 
 Job Title:
 
 
 
 Outbound Sales Automation / GTM Engineer
 
 
 
 
 Experience:
 
 
 3-5 years (flexible for strong operators)
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 We&rsquo;re looking for an Outbound Sales Automation / GTM Engineer who can design, build, and optimize scalable outbound systems. This role blends sales ops, growth engineering, and automation, focused on turning ICPs into booked meetings through email, LinkedIn, CRM, and AI-driven workflows.
 
 
 
 
 You&rsquo;ll own the outbound motion end-to-end &mdash; from data and tooling to messaging, deliverability, and conversion.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Outbound System Architecture
 
 
 <ul>
 <li>
 
 Build and maintain outbound engines using tools like Smartlead, Instantly, Apollo, GoHighLevel, HubSpot, Salesforce, etc.
 
 </li>
 <li>
 
 Design multi-channel sequences (email, LinkedIn, calls, WhatsApp where relevant).
 
 </li>
 <li>
 
 Set up AI-assisted SDR workflows (lead enrichment, personalization, follow-ups).
 
 </li>
 </ul>
 
 
 
 
 
 Data, Targeting &amp; ICP
 
 
 <ul>
 <li>
 
 Define and refine ICPs, personas, and buying signals.
 
 </li>
 <li>
 
 Source, clean, enrich, and segment lead lists (Sales Navigator, ContactOut, Apollo, Clay, etc.).
 
 </li>
 <li>
 
 Implement account-based outbound (ABM) for high-value targets.
 
 </li>
 </ul>
 
 
 
 
 
 Messaging &amp; Conversion
 
 
 <ul>
 <li>
 
 Collaborate on cold email and LinkedIn copy (pain-driven, outcome-focused).
 
 </li>
 <li>
 
 A/B test subject lines, hooks, CTAs, and sequencing logic.
 
 </li>
 <li>
 
 Optimize for meeting booked, not just open or reply rates.
 
 </li>
 </ul>
 
 
 
 
 
 Deliverability &amp; Infrastructure
 
 
 <ul>
 <li>
 
 Manage domains, inbox rotation, DNS (SPF, DKIM, DMARC).
 
 </li>
 <li>
 
 Monitor spam health, warming, bounce rates, and sender reputation.
 
 </li>
 <li>
 
 Ensure consistent inbox placement at scale.
 
 </li>
 </ul>
 
 
 
 
 
 Automation &amp; Integrations
 
 
 <ul>
 <li>
 
 Build no-code / low-code workflows using Zapier, Make, n8n.
 
 </li>
 <li>
 
 Integrate outbound tools with CRMs, calendars, Slack, and analytics.
 
 </li>
 <li>
 
 Automate reporting, lead routing, and follow-ups.
 
 </li>
 </ul>
 
 
 
 
 
 Analytics &amp; Optimization
 
 
 <ul>
 <li>
 
 Track funnel metrics: delivery &rarr; open &rarr; reply &rarr; meeting &rarr; close.
 
 </li>
 <li>
 
 Create dashboards and weekly performance reports.
 
 </li>
 <li>
 
 Continuously iterate GTM strategy based on data.
 
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 Hands-on experience with cold email + LinkedIn outbound
 
 </li>
 <li>
 
 Strong understanding of sales automation tools &amp; CRMs
 
 </li>
 <li>
 
 Knowledge of email deliverability best practices
 
 </li>
 <li>
 
 Comfortable with no-code / low-code automation
 
 </li>
 <li>
 
 Analytical mindset with strong experimentation habits
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
</div>

GTM Engineer

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