{"id":2511008,"url":"https://alion.io/job/weekday-gtm-engineer","title":"gtm engineer","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":108,"ghost_share":0,"stale_share":0.972,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Sales","role_family":"Sales","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"JavaScript","optional":false},{"name":"Marketo","optional":false},{"name":"n8n","optional":false},{"name":"Python","optional":false},{"name":"Salesforce","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Zapier","optional":false}],"status":"live","first_seen_at":"2026-10-14T08:54:41Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T22:30:09Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"'\n: - ( - )\nExperience: 5+ yrs\nLocation: Remote (India), India\nJob Type: Full-time\nWe are looking for an experienced GTM Intelligence Engineer to build intelligent, data-driven go-to-market solutions that help Sales, Marketing, and Customer Success teams identify opportunities, prioritise accounts, and drive revenue growth. The ideal candidate will combine expertise in GTM strategy, revenue operations, commercial analytics, workflow automation, and AI-assisted intelligence.\nThis role focuses on transforming customer data, market signals, buying intent, and relationship insights into actionable commercial opportunities. You will build scoring models, automate go-to-market workflows, and develop measurable solutions that improve pipeline generation, customer expansion, retention, and sales productivity.\nRequirements\nKey Responsibilities\nDevelop account and opportunity prioritisation models using customer fit, buying intent, engagement, relationship strength, and commercial data.\nIdentify whitespace, cross-sell, upsell, new-customer acquisition, renewal, and retention opportunities.\nBuild practical ideal customer profile (ICP), propensity, opportunity-sizing, and relationship-intelligence models.\nConvert market developments, customer behaviour, and buying signals into actionable commercial insights.\nTest and refine scoring models using actual sales outcomes and revenue performance.\nDesign and launch repeatable GTM plays and automated workflows across Sales, Marketing, and Customer Success.\nDefine workflow triggers, target accounts, actions, communication channels, ownership, timing, and success metrics.\nConfigure automation for alerts, tasks, account lists, sales sequences, campaigns, and follow-up activities.\nEnsure workflows are coordinated to prevent duplicate outreach, conflicting communications, and poor customer experiences.\nDefine data requirements for each use case and partner with IT and Enterprise Data teams to onboard enrichment, intent, relationship, and market-intelligence sources.\nTranslate business requirements into clear technical specifications, configuration requirements, and integration plans.\nValidate data accuracy, freshness, completeness, and usability before activating commercial workflows.\nEstablish closed-loop measurement to track performance from account identification and engagement through meetings, pipeline, bookings, and revenue.\nConduct structured experiments on targeting, timing, sequencing, and messaging to improve GTM effectiveness.\nBuild dashboards and performance reports in collaboration with Revenue Operations and analytics teams.\nCoordinate platform onboarding, security reviews, integration testing, user acceptance testing, deployment, and adoption.\nManage external vendors and implementation partners to ensure solutions meet business objectives.\nExplore AI-assisted research, account intelligence, and outreach workflows to improve productivity and commercial decision-making.\nWhat Makes You a Great Fit\n5+ years of experience in Revenue Operations, Sales Operations, Marketing Operations, GTM Strategy, Growth Operations, Commercial Analytics, or Revenue Technology.\nProven experience building account scoring, segmentation, prioritisation, intent, or opportunity models.\nStrong understanding of B2B enterprise sales, account-based marketing (ABM), customer expansion, and complex buying journeys.\nHands-on experience designing and launching automated GTM workflows.\nAbility to translate commercial challenges into technical requirements and practical, measurable solutions.\nWorking knowledge of CRM, marketing automation, sales engagement, data enrichment, intent, and analytics platforms.\nExperience analysing commercial data using SQL, business intelligence tools, or comparable methods.\nFamiliarity with platforms such as Salesforce, Microsoft Dynamics, Marketo, Outreach, Salesloft, 6sense, Demandbase, ZoomInfo, Clay, Apollo, Snowflake, or Databricks.\nExperience with workflow automation tools such as Workato, n8n, Zapier, Make, or similar platforms, along with a working understanding of APIs.\nExposure to Python or JavaScript and experience developing AI-assisted research, account-intelligence, or outreach workflows.\nStrong program-management, documentation, analytical, and cross-functional communication skills.\nAbility to explain technical trade-offs clearly to non-technical stakeholders and manage multiple initiatives independently.\nExperience in a multi-product B2B organisation, multi-segment business, or private-equity-backed environment is an 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