AI Jobs

Education Requirements:

• preferably tier-1 college (IISc, IITs, NITs, BITS and others)

• Masters/PhD in Computer Science, Machine Learning, or related field preferred

Experience Requirements:

• 5-15 YOE

• Worked on at least 1 Computer vision problem statement in the past 5 years

• Have built, trained and deployed models on production before

• Experience with vision transformer architectures

• Experience optimizing models for production using ONNX/TensorRT','Background in handling high-resolution satellite/aerial imagery preferred

Other Requirements:

• Comfortable with WFO in Bangalore or Noida

• Happy to read research papers day in day out and train on terabytes of image data on big H100 clusters

• Strong foundation in computer vision and deep learning fundamentals

• Extensive experience training transformer models from scratch

• Expert-level proficiency in PyTorch

• Experience with ONNX or TensorRT model optimization and deployment

• Deep understanding of distributed computing and parallel processing

• Advanced Python knowledge, including multi-threading and multi-processing optimization

• Experience with semantic segmentation tasks

• Proven track record of handling large-scale data processing

Responsibilities:

• Design and implement transformer-based architecture for semantic segmentation of aerial imagery

• Develop efficient image-to-token and token-to-image conversion pipelines

• Create and maintain training datasets, including data cleaning, augmentation, and validation

• Optimize model training processes for distributed computing environments

• Implement efficient inference pipelines for production deployment','Collaborate with engineering team to integrate new models into existing infrastructure

Benefits:

• Offers Equity

• Offers Commission

• Competitive compensation

Other Requirements:

• Legally authorized to work in the United States

• Willing to relocate to the NYC area

Benefits:

• Client-Driven Innovation

• Strategic Impact

• Technical Excellence

• Balanced Autonomy

• Professional Growth

Experience Requirements:

• 10+ years of product management experience, with significant time spent in client-facing roles

• Proven track record of leading complex technical product initiatives from conception to delivery

• Strong understanding of AI/ML technologies and their practical applications in enterprise settings

• Experience in consulting or professional services environments

• Exceptional communication skills with the ability to translate technical concepts for business audiences

Other Requirements:

• Experience managing stakeholder relationships at the executive level

• Experience with agile methodologies and product development frameworks

Responsibilities:

• Solution Design & Discovery

• Product Vision & Strategy

• Delivery Leadership

• Value Realization

• Translate client-specific solutions into scalable, repeatable products

Benefits:

• Shape the future of AI talent operations at a growing AI consultancy

• Work with exceptional technical talent across various AI specializations

• Drive innovation in how we identify, vet, and deploy technical expertise

• Contribute to the strategic impact of enterprise AI adoption

Experience Requirements:

• 5+ years of experience in engineering management or technical leadership roles

• Strong technical background with recent hands-on experience in software development

• Background in AI/ML engineering or related technical fields

• Experience in building LLM-based agentic systems

• Experience in technical interviewing and candidate assessment

Other Requirements:

• Track record of building and managing high-performing technical teams

• Excellent communication and relationship-building skills

• Experience in consulting or professional services environments

• Familiarity with talent operations

• Experience with process automation and tool development

Responsibilities:

• Design and implement robust technical assessment frameworks to evaluate candidates' skills and expertise

• Conduct in-depth technical interviews to validate candidates' capabilities and experience

• Collaborate with delivery teams to understand project requirements and identify the right technical profiles

• Build and maintain strong relationships with talent in our network

• Drive automation initiatives to streamline talent sourcing, vetting, and staffing processes

Benefits:

• Strategic Impact

• Technical Excellence

• Engineering Leadership

• Cross-Project Exposure

• Innovation-First Environment

Experience Requirements:

• 5+ years of experience building production-level AI solutions

• Strong experience designing and implementing reusable systems, modules, and components

• Hands-on experience with modern AI/ML technologies, including LLMs, RAG, and agent systems

• Experience supporting and mentoring other engineers in technical implementation

• Strong communication skills with the ability to explain complex technical concepts to diverse audiences

Other Requirements:

• Experience working in a consulting or services environment with client-deployed solutions

• Proven ability to balance technical excellence with practical business outcomes

• Experience working with distributed teams across multiple projects

Responsibilities:

• Maintain, enhance, and expand our foundational codebase

• Support project teams in effectively utilizing our platform components

• Identify opportunities to incorporate successful project implementations back into the platform

• Proactively address bugs, performance issues, and feature gaps in the platform

• Reduce barriers to productivity by creating training materials and documentation for platform components

Benefits:

• Strategic Impact

• Technical Excellence

• Cross-Functional Collaboration

• Innovation-First Environment

• Professional Growth

Experience Requirements:

• 7+ years of experience in product management, with a proven track record of delivering successful technical products

• User obsessed - willing to spend as much time as needed with your users to fully understand what is working well, what isn't, and to collect the best feedback (both qualitative and quantitative)

• Passion for user-centric product development and solving real-world challenges through innovative solutions

• Strong understanding of enterprise security, compliance, and deployment requirements

• Experience working with engineering teams on complex technical products or APIs

Other Requirements:

• Excellent written and verbal communication skills for engaging with both technical and non-technical stakeholders

• Prior experience in Platform Product Management and impact measurement using quantitative (e.g., metrics, analytics) and qualitative data

• Strategic thinker who can balance short-term needs with long-term platform vision

• Data-driven approach to decision-making and prioritization

Responsibilities:

• Collaborate with sales teams to understand upcoming project needs, prioritize and align platform capabilities with market demands, and drive value propositions that streamline deal conversion

• Partner directly with active project teams through 1:1 pairing sessions to provide platform expertise and ensure optimal implementation

• Be on top of and track key metrics to quantify the platform's value, gather user feedback, and continuously improve the platform experience

• Identify successful project-specific implementations that can be standardized and incorporated into the core platform

• Develop and maintain comprehensive ROI models demonstrating the business value of platform adoption across projects

Benefits:

• Shape the Future of AI Delivery

• Unparalleled Project Diversity

• Work with Technical Excellence

• Strategic Impact

• Innovation-First Environment

Experience Requirements:

• 5+ years of consulting and delivery experience, with a focus on technical or AI-related projects

• Strong track record managing large-scale technical projects and teams in fast-paced environments

• Deep understanding of AI project lifecycle and delivery methodologies, with the ability to adapt approaches to meet unique project needs

• Experience managing complex client relationships at the executive level, with excellent communication skills across technical and business audiences

• Strategic mindset with the ability to balance customer outcomes and business objectives, ensuring both client satisfaction and project profitability

Other Requirements:

• Proven ability to build and scale delivery processes, with a passion for continuous improvement and delivery excellence

• Experience managing distributed teams and contractor workforces, aligning with Tribe's unique talent model

• Adaptability and problem-solving skills to navigate the challenges of cutting-edge AI projects

• Strong analytical skills with the ability to translate data into actionable insights for both clients and internal teams

Responsibilities:

• Drive project scoping, planning, and execution of key customer engagements, ensuring alignment with client objectives and Tribe's delivery standards

• Manage executive client relationships, serving as the key point of contact and escalation point

• Identify, assess, and manage delivery risks and issues, ensuring they are mitigated or escalated as necessary

• Drive resource allocation and optimization across your project teams, leveraging Tribe's unique network of specialized AI talent

• Collaborate cross-functionally with Sales, Marketing, and other internal teams to ensure seamless project execution and client satisfaction

Benefits:

• Competitive Salary

• Equity package

• Health insurance

• Unlimited Vacation time

Experience Requirements:

• 5+ years leading technical teams, experience as a Sales Engineer / Solutions Architect, or a similar technical pre-sales role in the AI, cloud, or backend infrastructure space

• Experience in customer-facing roles, with the ability to scope projects and estimate the required effort to build end-to-end applications

• Baseline knowledge of Generative AI and the evolving LLM ecosystem

• Expertise with production cloud infrastructure on AWS, Azure, and GCP

• Experience architecting end-to-end solutions across different domains

Other Requirements:

• Passionate about exploring new technologies and designing solutions to complex technical challenges

• Excellent communication skills to articulate complex technical concepts to diverse audiences

• Frequently traveling to see clients and partners (~1X per month)

Responsibilities:

• Design innovative AI architectures that solve complex business problems

• Lead technical discovery workshops to explore novel applications of AI across diverse domains

• Develop reference architectures and technical frameworks that showcase what’s possible with current and emerging AI technologies

• Guide clients through the technical landscape of AI, helping them understand capabilities and limitations of different approaches

• Partner with sales teams to translate complex technical concepts into clear value propositions

Benefits:

• Competitive Salary

• Equity package

• Health insurance

• Unlimited Vacation time

Experience Requirements:

• 5+ years of experience in enterprise sales with a focus on selling services to large enterprises

• Experience selling AI technologies and/or backend infrastructure/cloud services

• Proven success in meeting or exceeding sales quotas in an enterprise sales role

• Strong understanding of technical sales cycles, particularly in the AI, infrastructure and/or cloud sectors

• Excellent communication, negotiation, and relationship-building skills

Other Requirements:

• Direct work experience within an early stage startup

• Track record of going above and beyond the role to support the growth and success of the company (building processes, enablement, etc.)

• Frequently traveling to see clients and partners (~2X per month)

Responsibilities:

• Lead the entire sales cycle, from prospecting and presenting to negotiating and closing

• Identify and engage prospective clients in large enterprises, focusing on AI services, backend infrastructure, and cloud-based solutions

• Develop strategic account plans and tailor solutions to meet client-specific needs

• Build and nurture long-term client relationships, acting as a trusted advisor

• Collaborate with internal teams (e.g., product, fulfillment) to align client needs with service and platform offerings

Benefits:

• A flexible working environment

• The opportunity to be part of a fast-growing tech company

• A focus on development with access to Go1

• Paid parental leave and Quarterly Wellbeing Days

• Employee talent referral scheme (know great people, be rewarded)

Experience Requirements:

• Proven experience running credit control in a SaaS, technology, or subscription-based business.

• Comfortable being hands-on with collections: chasing overdue accounts, resolving billing issues, and negotiating payment terms.

• Strong track record of improving cash collection and reducing aged debt.

• Experience using ERP/finance systems (e.g., NetSuite, Workday, SAP) and CRM/billing tools (e.g., Salesforce, Zuora).

• Demonstrated ability to drive automation and workflow efficiencies.

Other Requirements:

• Strong reporting capability with the ability to build and manage dashboards.

• Excellent stakeholder management skills, able to work with both customers and internal executives.

• Experience in scaling collections processes across multiple entities or regions.

• Knowledge of SaaS billing cycles, subscription models, and revenue recognition.

• Exposure to finance process automation and digital transformation.

Responsibilities:

• Take ownership of the collections ledger while personally managing high-value or complex accounts.

• Monitor and report on key metrics (DSO, overdue debt, billing disputes, forecasted collections), preparing insights and recommended actions for the CFO and leadership team.

• Act as escalation point for customer disputes, negotiating outcomes directly with clients when required.

• Design and drive collection strategies

• Champion automation initiatives to drive efficiency across billing, collections, and reporting.

Benefits:

• A flexible working environment

• The opportunity to be part of a fast-growing tech company

• A focus on development with access to Go1

• Paid parental leave and Quarterly Wellbeing Days

• Employee talent referral scheme (know great people, be rewarded)

Experience Requirements:

• 5+ years of experience as a Software Engineer, ideally at a senior level.

• Experience with: .NET framework (.NET Core preferred) and C#

• JavaScript (TypeScript/Node)

• AWS Cloud and AWS stack

• Web development frameworks and practices

Other Requirements:

• Strong QA principles, including unit and integration testing

• Integration projects involving 3rd party APIs

• Cloud-based development (AWS preferred)

• Managing production issues and troubleshooting distributed systems

• Proven experience managing complex releases across multiple cloud environments.

Responsibilities:

• Write maintainable, high-quality, and easy-to-read code across our services, contributing to the team M-s delivery of features in an Agile environment.

• Collaborate with teammates to design and implement architectural approaches that integrate our product suite in enterprise environments.

• Work alongside team members on complex challenges, supporting each other with constructive code reviews and knowledge sharing.

• Monitor system performance and contribute to solutions for scaling, security, and evolving business needs.

• Strengthen our codebase by developing robust Unit, Integration, and UI Automation tests.

Benefits:

• A flexible working environment

• The opportunity to be part of a fast-growing tech company

• A focus on development with access to Go1 learning

• Paid parental leave and Quarterly Wellbeing Days

• Employee talent referral scheme (know great people, be rewarded)

Experience Requirements:

• At least 5 years of experience working in resource management, workforce planning, or project operations.

• Experience in resource or project management tooling (Kantata preferable) but not wedded to one.

• Strong Excel skills, including pivot tables, formulas, and data analysis techniques.

• Strong analytical mindset with experience translating data into operational insights.

• Ability to identify patterns, predict risks, and solve resource-related challenges.

Other Requirements:

• Clear and concise communicator with the ability to influence senior stakeholders across the team.

• A self-starter and individual that takes ownership of resource coordination and continuously seeks improvements to ways of working.

• Highly detail-oriented and highly organised, with a commitment to accuracy and accountability.

• Experience working in a SaaS or software vendor in a professional services team is highly advantageous!

• An understanding of commercial billing models is also useful in this role.

Responsibilities:

• Guide and assist Portfolio Leaders with understanding their resource allocation across multiple projects and teams, ensuring alignment with priorities, deadlines, and skill requirements.

• Develop clear and actionable insights, trend analysis, and forecasting capacity shortages.

• Develop and maintain resource forecasts to anticipate demand and proactively address constraints or gaps for long- and short-term planning.

• Work closely with our Enablement function to ensure cross-skilling gaps are addressed to meet the future project needs.

• Cross-functional collaboration across Sales and Services Sales on the forecasted pipeline to ensure effect resource allocation

Benefits:

• Remote First Culture

• Health Care Coverage*

• Education Reimbursement*

• Competitive Paid Time Off

• 4 Self-Care Days per year

Education Requirements:

• Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field or outstanding previous achievements demonstrating excellence in Deep Machine Learning, Computer Science and Software Engineering

Experience Requirements:

• At least 5 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML), Computer Science and Software Engineering

Other Requirements:

• A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite

• Academic publications in peer reviewed conferences or journals related to Machine Learning - preferably A/A+ rated such as NeurIPS, ICML, ICLR, AAAI, TMLR, JMLR, IJCAI, ICANN, KDD, ACL, EMNLP, NAACL, COLING, CVPR, ICCV, ECCV, IEEE etc.

• Machine / Deep Learning development skills, including popular platforms (we use AWS SageMaker, Hugging Face, Transformers, PyTorch, PyTorch Lightning, Ray, scikit-learn, Jupyter, Weights & Biases etc.)

• An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families

• Excellent communication and teamwork skills

• Fluent in written and spoken English

Responsibilities:

• Research and develop production grade Machine Learning models as described above. Optimize models for scaled production usage.

• Work with colleagues in the AI team, other Engineering teams, subject matter experts, Product Management, Marketing, Sales and Customer support to explore ongoing product issues, challenges and opportunities and then recommend innovative ML/AI based solutions.

• Help out with ad-hoc one-off tasks as a team player within the AI team.

• Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access SQL, no-SQL and web data and write efficient parallel pipelines. Review and design datasets to ensure data quality.

• Investigate weaknesses of models in production and work on pragmatic solutions.

Benefits:

• Remote First Culture

• Health Care Coverage*

• Education Reimbursement*

• Competitive Paid Time Off

• 4 Self-Care Days per year

Education Requirements:

• Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role

• A Computer Science background is required as opposed to statistics or pure mathematics

Experience Requirements:

• Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised

• Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review)

• Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases)

Other Requirements:

• A strong understanding of the math and theory behind machine learning and deep learning

• An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families

• Excellent communication and teamwork skills

• Fluent in written and spoken English

Responsibilities:

• Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered.

• Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices.

• Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary.

• Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters.

• Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs.

Benefits:

• Remote First Culture

• Health Care Coverage*

• Education Reimbursement*

• Competitive Paid Time Off

• 4 Self-Care Days per year

Experience Requirements:

• At least 4 years of experience in data engineering, ideally focused on AI/ML data infrastructure or enabling and accelerating AI R&D

• Strong proficiency in Python, SQL, and Infrastructure as Code (Terraform, CloudFormation), with additional experience in modern orchestration frameworks (Airflow, Prefect, or dbt)

• Proficiency with cloud-native data platforms (AWS, Azure, GCP) and vector databases (Pinecone, Weaviate, Qdrant, or Chroma)

• Experience with MLOps tools and platforms (HuggingFace, SageMaker Bedrock, Vertex AI), experiment tracking (MLflow, Weights & Biases), and model deployment pipelines

• Experience with Large Language Models (LLMs), embedding generation, retrieval-augmented generation (RAG) systems, and frameworks for orchestrating LLM interaction (LiteLLM, LangFuse, LangChain, LlamaIndex)

Other Requirements:

• Strong problem-solving, analytical, and communication skills, with the ability to design scalable AI data systems and collaborate effectively in cross-functional teams

Responsibilities:

• AI Data Infrastructure & Pipeline Management for Applied AI: Design, build, and operate scalable real-time data pipelines that support ongoing Applied AI model training. Deploy and maintain robust data infrastructure using AI techniques and engineering best practices to ensure continuous model improvement and deployment cycles.

• Data Collection: Execute initiatives for collecting, normalizing, and storing data across multiple sources, including external LLM providers.

• Collaboration: Partner with AI R&D, Applied AI, and Data Platform teams to ensure seamless data flow and quality standards. Partner with stakeholders to collect, curate, and catalog high-quality datasets that directly support Applied AI retraining workflows and business objectives.

• AI R&D Support: Provide secondary support to AI Research & Development efforts by applying advanced data warehousing and engineering technologies. Contribute to exploratory data initiatives that uncover insights from Turnitin's extensive data resources.

• Communication: Maintain clear communication channels across teams, ensuring alignment with company vision while sharing insights on data infrastructure needs and potential innovations.

Benefits:

• Competitive cash and equity compensation

• Equity plan and benefits program

Experience Requirements:

• 5-10 years of designing and building data pipelines

• Specific experience with accounting and file integrations is a plus

Other Requirements:

• First principles reasoner

• Proven leadership capabilities

• Interdisciplinary and collaborative mindset

• Strong company-building ethos

• Full-time in-office commitment (NYC, 5 days a week)

Responsibilities:

• Design, build, and maintain the Data Platform (pipelines, integrations, data models)

• Integrate with accounting systems, file systems, and accountant tooling

• Recruit and build out the Data Platform team

• Provide technical direction and set the team's roadmap

• Help shape early engineering culture and scale the engineering team

Benefits:

• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.

• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.

• The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best

• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.

• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.

Education Requirements:

• Bachelor’s degree in Accounting or any related field.

Experience Requirements:

• 3- 5 years of experience in a similar role.

Other Requirements:

• Strong proficiency in financial modeling.

• Advanced knowledge of Excel and financial software (e.g., ERP systems, BI tools)

• Strong analytical and problem-solving skills, with the ability to interpret complex financial data.

• Proficient in conducting and presenting research results.

• Ability to work well under pressure and meet tight deadlines.

• Self-motivated and capable of working independently with minimal supervision.

• Excellent written and verbal communication skills.

• Demonstrates integrity and professionalism.

• CMA,CFA ,AFM,FMVA is preferable

Responsibilities:

• Work closely with cross-functional teams, including accounting, operations, and sales, to gather relevant data and insights.

• Provide financial analysis and support for special projects and initiatives as requested by senior manage-ment.

• Manage and control the internal approval process for both budget submissions and actual consumption within the FP&A team, ensuring full alignment with budget limits before requests are escalated to the pro-curement team.

• Ensure adherence to budgetary guidelines and company policies.

• Engage in the annual budgeting process, collaborating with various departments to set realistic financial targets.

Benefits:

• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.

• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.

• The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best

• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.

• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.

Education Requirements:

• Bachelor’s degree in Accounting or any related field.

Experience Requirements:

• 3- 5 years of experience in a similar role.

Other Requirements:

• SOCPA registration required.

• Strong proficiency in financial modeling.

• Advanced knowledge of Excel and financial software (e.g., ERP systems, BI tools)

• Strong analytical and problem-solving skills, with the ability to interpret complex financial data.

• Proficient in conducting and presenting research results.

• Ability to work well under pressure and meet tight deadlines.

• Self-motivated and capable of working independently with minimal supervision.

• Excellent written and verbal communication skills.

• Demonstrates integrity and professionalism.

• CMA, CFA, AFM, or FMVA certifications are preferred

Responsibilities:

• Work closely with cross-functional teams, including accounting, operations, and sales, to gather relevant data and insights.

• Provide financial analysis and support for special projects and initiatives as requested by senior manage-ment.

• Manage and control the internal approval process for both budget submissions and actual consumption within the FP&A team, ensuring full alignment with budget limits before requests are escalated to the pro-curement team.

• Ensure adherence to budgetary guidelines and company policies.

• Engage in the annual budgeting process, collaborating with various departments to set realistic financial targets.

Benefits:

• Competitive compensation

• Top-tier health insurance

• Enabling culture

• Fun and dynamic workplace

• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.

Education Requirements:

• Bachelor's degree in law

• Master’s or legal certification is a plus.

Experience Requirements:

• Minimum 10 years of total legal experience, with at least 5 years in Saudi Arabia

• Proven experience leading a Legal team of 2 or more

Other Requirements:

• Fluency in Arabic and English (spoken and written)

• Strong knowledge of the Saudi legal and regulatory frameworks

• Experience in technology, Software or SaaS sectors.

• Familiarity with enterprise SaaS contracts and licensing models is a strong plus

• Strategic thinker with strong business acumen

• Excellent negotiation, communication and interpersonal skills

• Ability to work in a fast-paced, high-growth environment

• Strong ethical standards and integrity

Responsibilities:

• Work closely with the Executive team and report to the Group CFO.

• Lead and manage the Legal Department, including mentoring and supervising a team of at least two legal professionals.

• Oversee all legal matters including commercial contracts, employment law, corporate governance, and regulatory compliance.

• Draft, review, and negotiate a wide range of agreements including SaaS contracts, licensing, NDAs, and partnership agreements.

• Provide strategic legal counsel to executive leadership and cross-functional teams.

Benefits:

• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.

• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.

• The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best

• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.

• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.

Education Requirements:

• Bachelor's degree in business administration with strong IT background or Information technology, Engineering degree (IT, telecoms, general)

Experience Requirements:

• 5 years of quota-carrying direct Enterprise or SaaS sales experience in a full cycle closing role with strong prospecting, qualifying, negotiating, and closing skills

• 3 years of experience in the GCC markets

• Experience closing multiple deals per quarter, with an average ACV of +$100K

Other Requirements:

• Ability to discuss Product value proposition with C-level executives, compliance & risk teams, and decision makers

• Consistent track record of hitting or exceeding sales targets in a fast-paced environment

• Participate in RFPs in close collaboration with the Bid and Pre-sales team.

• High adaptability and understanding of change within the evolution of a startup

• Excellent bilingual verbal and written communication skills.

• Self-driven, proactive, detail-oriented, multitasker with a desire to make a difference.

Responsibilities:

• Drive revenue for Focal, owning the entire sales cycle, from prospecting through close and activation

• Develop strategies for hunting, demoing the product, and closing opportunities with multiple internal and external stakeholders to meet quarterly and annual goals

• Provide a consultative selling approach through analyzing customer needs, advising customers, and solidifying long-standing relationships

• Establish credibility, trust, and respect as a thought leader in Digital Transformation, Digital Identity, Compliance, Fraud, and Credit Risk

• Focus on results, pipeline generation, revenue, and forecast accuracy, with the ability to lead and inspire others in your ecosystem